FairFace.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os.path\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torchvision\n",
    "from torchvision import transforms\n",
    "import pandas as pd\n",
    "import dlib\n",
    "import numpy as np\n",
    "import copy\n",
    "import pickle"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading mode, get test_img names etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/clydechx/FairFace/env/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
      "  warnings.warn(\n",
      "/home/clydechx/FairFace/env/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet34_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet34_Weights.DEFAULT` to get the most up-to-date weights.\n",
      "  warnings.warn(msg)\n"
     ]
    }
   ],
   "source": [
    "# input labels.\n",
    "label = pd.read_csv(\"labels/fairface_label_val.csv\")\n",
    "imgs_path = \"fairface-img-margin025-trainval/val\"\n",
    "img_names = [os.path.join(imgs_path, x) for x in os.listdir(imgs_path)]\n",
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "model_fair_7 = torchvision.models.resnet34(pretrained=True)\n",
    "model_fair_7.fc = nn.Linear(model_fair_7.fc.in_features, 18)\n",
    "# if runs on a machine without GPU, should do map_location=torch.device('cpu')\n",
    "#model_fair_7.load_state_dict(torch.load('fair_face_models/fairface_alldata_20191111.pt')) \n",
    "model_fair_7.load_state_dict(torch.load('fair_face_models/fairface_alldata_20191111.pt' , map_location=torch.device('cpu')))\n",
    "model_fair_7 = model_fair_7.to(device)\n",
    "\n",
    "\n",
    "# trans\n",
    "\n",
    "trans = transforms.Compose([\n",
    "    transforms.ToPILImage(),\n",
    "    transforms.Resize((224, 224)),\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
    "])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Start running the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Define a hook for all ReLU layers to compute the sum of activations of each filter\n",
    "# activation = {}\n",
    "# def relu_hook(module, input, output, layer_name):\n",
    "#     activation[layer_name] = output.detach()\n",
    "# # Register the hook for all ReLU layers\n",
    "# for layer_name, layer in model.named_modules():\n",
    "#     if isinstance(layer, torch.nn.ReLU):\n",
    "#         layer.register_forward_hook(relu_hook, layer_name=layer_name)\n",
    "num_filters = {}\n",
    "activation = {}\n",
    "filter_sums = {}\n",
    "def get_activation(name):\n",
    "    def hook(model, input, output):\n",
    "        # Squeeze the tensor to remove the dimension with size 1\n",
    "        squeezed_tensor = torch.squeeze(output.detach())\n",
    "        activation[name] = squeezed_tensor\n",
    "        # If squeezed_tensor has more than one dimension, flatten it\n",
    "        if len(squeezed_tensor.shape) > 1:\n",
    "            flattened_tensor = torch.flatten(squeezed_tensor, start_dim=1)\n",
    "        else:\n",
    "            flattened_tensor = squeezed_tensor\n",
    "        # Sum along the second dimension if it exists, otherwise keep the tensor as is\n",
    "        if flattened_tensor.dim() > 1:\n",
    "            summed_tensor = flattened_tensor.sum(dim=1)\n",
    "        else:\n",
    "            summed_tensor = flattened_tensor\n",
    "        # Convert the tensor to a list\n",
    "        summed_list = summed_tensor.tolist()\n",
    "        filter_sums[name] = summed_list\n",
    "        num_filters[name] = len(summed_list)\n",
    "    return hook\n",
    "\n",
    "for name, layer in model_fair_7.named_modules():\n",
    "    if isinstance(layer, torch.nn.ReLU):\n",
    "        layer.register_forward_hook(get_activation(name))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicting... 0/10954\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 5\n",
      "Predicting... 1000/10954\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 0, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicting... 2000/10954\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicting... 3000/10954\n",
      "Predicted label: 10, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicting... 4000/10954\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicting... 5000/10954\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 0, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 0\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicting... 6000/10954\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicting... 7000/10954\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicting... 8000/10954\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 1\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicting... 9000/10954\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 1\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 0, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 8\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 0\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicting... 10000/10954\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 11, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 8\n",
      "Predicted label: 9, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 8, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 7, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 10\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 0\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 6, Ground truth: 11\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 6, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 10\n",
      "Predicted label: 0, Ground truth: 4\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 3, Ground truth: 5\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 13, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 0\n",
      "Predicted label: 10, Ground truth: 11\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 8, Ground truth: 12\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 8, Ground truth: 4\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 7, Ground truth: 0\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 7, Ground truth: 8\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 5, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 4, Ground truth: 6\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 5, Ground truth: 1\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 5\n",
      "Predicted label: 7, Ground truth: 9\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 6, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 6, Ground truth: 2\n",
      "Predicted label: 6, Ground truth: 7\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 4, Ground truth: 0\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 6\n",
      "Predicted label: 1, Ground truth: 9\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 5, Ground truth: 11\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 10, Ground truth: 6\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 3, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 4, Ground truth: 10\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 13, Ground truth: 12\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 11, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 3\n",
      "Predicted label: 7, Ground truth: 1\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 0, Ground truth: 11\n",
      "Predicted label: 9, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 3, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 2\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 9, Ground truth: 13\n",
      "Predicted label: 1, Ground truth: 5\n",
      "Predicted label: 0, Ground truth: 6\n",
      "Predicted label: 11, Ground truth: 5\n",
      "Predicted label: 12, Ground truth: 13\n",
      "Predicted label: 7, Ground truth: 0\n",
      "Predicted label: 2, Ground truth: 3\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 7\n",
      "Predicted label: 7, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 6, Ground truth: 4\n",
      "Predicted label: 10, Ground truth: 2\n",
      "Predicted label: 0, Ground truth: 1\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 5, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 10\n",
      "Predicted label: 1, Ground truth: 7\n",
      "Predicted label: 1, Ground truth: 0\n",
      "Predicted label: 3, Ground truth: 11\n",
      "Predicted label: 7, Ground truth: 13\n",
      "Predicted label: 2, Ground truth: 10\n",
      "Predicted label: 3, Ground truth: 7\n",
      "Predicted label: 13, Ground truth: 9\n",
      "Predicted label: 3, Ground truth: 13\n",
      "Predicted label: 6, Ground truth: 8\n",
      "Predicted label: 8, Ground truth: 6\n",
      "Predicted label: 6, Ground truth: 12\n",
      "Predicted label: 2, Ground truth: 12\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 3\n",
      "Predicted label: 12, Ground truth: 8\n",
      "Predicted label: 1, Ground truth: 7\n"
     ]
    }
   ],
   "source": [
    "# Define class labels for CIFAR-10\n",
    "classes = ['Black+Female', 'Black+Male', 'East Asian+Female', 'East Asian+Male', 'Indian+Female', 'Indian+Male', 'Latino_Hispanic+Female', 'Latino_Hispanic+Male', 'Middle Eastern+Female', 'Middle Eastern+Male', 'Southeast Asian+Female', 'Southeast Asian+Male', 'White+Female', 'White+Male']\n",
    "# Define variables to track accuracy and class-wise accuracy\n",
    "correct = 0\n",
    "total = 0\n",
    "class_correct = [0] * 14\n",
    "class_total = [0] * 14\n",
    "\n",
    "\n",
    "\n",
    "# in FairFace model we have the following map.\n",
    "race_dict = {\n",
    "            0: 'White',\n",
    "            1: 'Black',\n",
    "            2: 'Latino_Hispanic',\n",
    "            3: 'East Asian',\n",
    "            4: 'Southeast Asian',\n",
    "            5: 'Indian',\n",
    "            6: 'Middle Eastern'\n",
    "        }\n",
    "gender_dict = { 0:'Male' , 1 :'Female'}\n",
    "# this is a map from race and gender to class.\n",
    "my_class_map = {\n",
    "    (1, 1): 0,\n",
    "    (1, 0): 1,\n",
    "    (3, 1): 2,\n",
    "    (3, 0): 3,\n",
    "    (5, 1): 4,\n",
    "    (5, 0): 5,\n",
    "    (2, 1): 6,\n",
    "    (2, 0): 7,\n",
    "    (6, 1): 8,\n",
    "    (6, 0): 9,\n",
    "    (4, 1): 10,\n",
    "    (4, 0): 11,\n",
    "    (0, 1): 12,\n",
    "    (0, 0): 13\n",
    "}\n",
    "\n",
    "image_predictation_result = {cl: {} for cl in range(len(classes))}\n",
    "activation_all_images = []\n",
    "filtersum_all_images = []\n",
    "miss_predicated_images = []\n",
    "# Set the model to evaluation mode\n",
    "model_fair_7.eval()\n",
    "my_label = pd.read_csv(\"labels/fairface_label_val.csv\")\n",
    "for index, img_name in enumerate(img_names):\n",
    "    if index % 1000 == 0:\n",
    "        print(\"Predicting... {}/{}\".format(index, len(img_names)))\n",
    "    img_name_in_label =  'val/' +img_name.split('/')[-1]\n",
    "    label_row = my_label[my_label['file'] == img_name_in_label].iloc[0]\n",
    "    \n",
    "    # load image, run model.\n",
    "    image = dlib.load_rgb_image(img_name)\n",
    "    image = trans(image)\n",
    "    image = image.view(1, 3, 224, 224)  # reshape image to match model dimensions (1 batch size)\n",
    "    image = image.to(device)\n",
    "    \n",
    "    outputs = model_fair_7(image)\n",
    "    outputs = outputs.cpu().detach().numpy()\n",
    "    outputs = np.squeeze(outputs)\n",
    "    \n",
    "    race_outputs = outputs[:7]\n",
    "    gender_outputs = outputs[7:9]\n",
    "    age_outputs = outputs[9:18]\n",
    "    \n",
    "    race_score = np.exp(race_outputs) / np.sum(np.exp(race_outputs))\n",
    "    gender_score = np.exp(gender_outputs) / np.sum(np.exp(gender_outputs))\n",
    "    age_score = np.exp(age_outputs) / np.sum(np.exp(age_outputs))\n",
    "\n",
    "    race_pred = np.argmax(race_score)\n",
    "    gender_pred = np.argmax(gender_score)\n",
    "    age_pred = np.argmax(age_score)\n",
    "\n",
    "    predict_class = my_class_map[(race_pred,gender_pred)]\n",
    "    label_class_name = label_row['race']+\"+\" + label_row['gender']\n",
    "    label_class = classes.index(label_class_name)\n",
    "    \n",
    "    \n",
    "    total +=1\n",
    "    class_total[label_class] += 1\n",
    "    image_predictation_result[label_class ][index] = predict_class\n",
    "    filtersum_all_images.append(copy.deepcopy(filter_sums))\n",
    "    \n",
    "    # predict correctly \n",
    "    if predict_class == label_class:\n",
    "        correct+=1\n",
    "        class_correct[label_class]+=1\n",
    "    # predict wrongly\n",
    "    else:\n",
    "        miss_predicated_images.append(index)\n",
    "        print(\"Predicted label: {}, Ground truth: {}\".format(predict_class, label_class))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "size of test set: 10954, accuracy of the network on the test set: 68.02%\n",
      "Accuracy of Black+Female : 78% of 757 images\n",
      "Accuracy of Black+Male : 77% of 799 images\n",
      "Accuracy of East Asian+Female : 75% of 773 images\n",
      "Accuracy of East Asian+Male : 75% of 777 images\n",
      "Accuracy of Indian+Female : 73% of 763 images\n",
      "Accuracy of Indian+Male : 66% of 753 images\n",
      "Accuracy of Latino_Hispanic+Female : 60% of 830 images\n",
      "Accuracy of Latino_Hispanic+Male : 50% of 793 images\n",
      "Accuracy of Middle Eastern+Female : 45% of 396 images\n",
      "Accuracy of Middle Eastern+Male : 71% of 813 images\n",
      "Accuracy of Southeast Asian+Female : 59% of 680 images\n",
      "Accuracy of Southeast Asian+Male : 63% of 735 images\n",
      "Accuracy of White+Female : 74% of 963 images\n",
      "Accuracy of White+Male : 71% of 1122 images\n",
      "miss_predicated_images num = 3503\n"
     ]
    }
   ],
   "source": [
    "# Print the overall accuracy and accuracy for each class\n",
    "print('size of test set: {}, accuracy of the network on the test set: {:.2f}%'.format(total, 100 * correct / total))\n",
    "for i in range(14):\n",
    "    print('Accuracy of {} : {:.0f}% of {} images'.format(classes[i], 100 * class_correct[i] / class_total[i], class_total[i]))\n",
    "print(\"miss_predicated_images num = {}\".format(len(miss_predicated_images)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "['relu', 'layer1.0.relu', 'layer1.1.relu', 'layer1.2.relu', 'layer2.0.relu', 'layer2.1.relu', 'layer2.2.relu', 'layer2.3.relu', 'layer3.0.relu', 'layer3.1.relu', 'layer3.2.relu', 'layer3.3.relu', 'layer3.4.relu', 'layer3.5.relu', 'layer4.0.relu', 'layer4.1.relu', 'layer4.2.relu']\n",
      "17\n",
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     ]
    }
   ],
   "source": [
    "print(len(activation_all_images))\n",
    "# print(len(activation_all_images[0]))\n",
    "# print(len(activation_all_images[0][\"features.22\"][0]))\n",
    "hooked_layer_names = list(activation.keys())\n",
    "print(hooked_layer_names)\n",
    "print(len(filtersum_all_images[0]))\n",
    "print((filtersum_all_images[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_intermediate_data(data, file_path):\n",
    "    \"\"\"\n",
    "    Save intermediate data to a file using pickle serialization.\n",
    "\n",
    "    Args:\n",
    "        data: The data to be saved.\n",
    "        file_path (str): The path of the file to save the data.\n",
    "    \"\"\"\n",
    "    with open(file_path, 'wb') as file:\n",
    "        pickle.dump(data, file)\n",
    "# save intermediate results\n",
    "save_intermediate_data(activation_all_images, \"activation_CIFAR10_VGG16.pkl\")\n",
    "save_intermediate_data(image_predictation_result, \"image_predictation_result.pkl\")\n",
    "save_intermediate_data(miss_predicated_images, \"miss_predicated_images.pkl\")\n",
    "save_intermediate_data(hooked_layer_names, \"hooked_layer_names.pkl\")\n",
    "save_intermediate_data(filtersum_all_images, \"filtersum_all_images.pkl\")\n",
    "save_intermediate_data(num_filters, \"num_filters.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_intermediate_data(file_path):\n",
    "    \"\"\"\n",
    "    Load intermediate data from a file.\n",
    "\n",
    "    Args:\n",
    "        file_path (str): The path of the file to load the data from.\n",
    "\n",
    "    Returns:\n",
    "        The loaded data.\n",
    "    \"\"\"\n",
    "    with open(file_path, 'rb') as file:\n",
    "        data = pickle.load(file)\n",
    "    return data\n",
    "\n",
    "\n",
    "activation_all_images = load_intermediate_data(\"activation_CIFAR10_VGG16.pkl\")\n",
    "image_predictation_result = load_intermediate_data(\"image_predictation_result.pkl\")\n",
    "miss_predicated_images = load_intermediate_data(\"miss_predicated_images.pkl\")\n",
    "hooked_layer_names = load_intermediate_data(\"hooked_layer_names.pkl\")\n",
    "filtersum_all_images = load_intermediate_data(\"filtersum_all_images.pkl\")\n",
    "num_filters = load_intermediate_data(\"num_filters.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_test_images = len(filtersum_all_images)\n",
    "def find_outliers_zscore(data, threshold=1):\n",
    "    \"\"\"\n",
    "    Find outliers in a list of values using z-score method.\n",
    "\n",
    "    Args:\n",
    "        data (list or numpy array): List of numeric values.\n",
    "        threshold (float, optional): Z-score threshold for identifying outliers. Default is 3.\n",
    "\n",
    "    Returns:\n",
    "        list: List of outlier values.\n",
    "    \"\"\"\n",
    "    # Convert data to numpy array\n",
    "    data = np.array(data)\n",
    "    if np.std(data) == 0:\n",
    "        return []\n",
    "    # Calculate z-scores\n",
    "    z_scores = (data - np.mean(data)) / np.std(data)\n",
    "    # Find outliers based on the threshold\n",
    "    # outliers = data[np.abs(z_scores) > threshold]\n",
    "    outliers = np.where(z_scores < -threshold)[0]\n",
    "    return outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num of wrong images in class 3 is 193\n"
     ]
    }
   ],
   "source": [
    "# find outlier for all mis_predicated images:\n",
    "# cat (3)\n",
    "class_id = 3\n",
    "all_image_class = image_predictation_result[class_id].keys()\n",
    "wrong_images = [x for x in all_image_class if image_predictation_result[class_id][x] != class_id]\n",
    "print(\"num of wrong images in class {} is {}\".format(class_id, len(wrong_images)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "image # 130, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 250, layer # relu has outliers [12 15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 383, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 399, layer # relu has outliers [15 16 31 35 41 46 47 49 57 60 63]\n",
      "image # 519, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 540, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 551, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 579, layer # relu has outliers [12 15 16 19 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 739, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 818, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 821, layer # relu has outliers [ 9 15 16 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 878, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 907, layer # relu has outliers [ 4 12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 1042, layer # relu has outliers [ 9 15 16 19 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 1134, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 1195, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 1207, layer # relu has outliers [15 16 19 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 1250, layer # relu has outliers [15 16 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 1285, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 1296, layer # relu has outliers [15 16 31 34 35 41 45 46 47 49 57 60 63]\n",
      "image # 1382, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 1392, layer # relu has outliers [15 16 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 1451, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 1457, layer # relu has outliers [15 16 23 31 34 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 1520, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 1545, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 1724, layer # relu has outliers [ 4 12 15 16 23 31 35 41 46 47 48 49 50 57 63]\n",
      "image # 1777, layer # relu has outliers [15 16 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 1846, layer # relu has outliers [ 4 12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 1864, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 1912, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 1969, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 1970, layer # relu has outliers [15 16 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 2006, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 2025, layer # relu has outliers [ 9 15 16 19 31 34 35 41 45 46 47 49 57 60 63]\n",
      "image # 2421, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 2530, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 2565, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 2635, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 2638, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 2727, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 63]\n",
      "image # 2817, layer # relu has outliers [15 16 19 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 2937, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 2962, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 3065, layer # relu has outliers [12 15 16 23 31 34 35 41 46 47 48 49 57 63]\n",
      "image # 3147, layer # relu has outliers [15 16 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 3287, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 3395, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 3643, layer # relu has outliers [12 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 3811, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 3846, layer # relu has outliers [15 16 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 3930, layer # relu has outliers [ 4 12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 3953, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 4002, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 4064, layer # relu has outliers [15 16 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 4078, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 4100, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 4256, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 4317, layer # relu has outliers [12 15 16 23 31 34 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 4342, layer # relu has outliers [15 16 19 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 4374, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 4388, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 4392, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 4452, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 4484, layer # relu has outliers [ 9 15 16 19 31 34 35 41 45 46 47 49 57 60 63]\n",
      "image # 4509, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 63]\n",
      "image # 4564, layer # relu has outliers [12 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 4804, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 4833, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 4896, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5018, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5049, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 5193, layer # relu has outliers [15 16 23 31 34 35 41 46 47 48 49 57 60 63]\n",
      "image # 5244, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 5434, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 5518, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5533, layer # relu has outliers [ 4 12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 5576, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5633, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5727, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5805, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5820, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 5902, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 5988, layer # relu has outliers [ 9 15 16 19 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 6237, layer # relu has outliers [15 16 19 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 6249, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 6285, layer # relu has outliers [15 16 19 23 31 34 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 6346, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 6426, layer # relu has outliers [15 16 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 6499, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 6513, layer # relu has outliers [12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 6614, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 6747, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 6824, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 6908, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 6931, layer # relu has outliers [12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 6972, layer # relu has outliers [12 15 16 23 31 34 35 41 46 47 48 49 57 60 63]\n",
      "image # 6974, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 7114, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 7232, layer # relu has outliers [15 16 19 23 24 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 7243, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 7310, layer # relu has outliers [12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 7357, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 7370, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 7385, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 7416, layer # relu has outliers [15 16 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 7494, layer # relu has outliers [15 16 23 31 34 35 41 46 47 48 49 57 60 63]\n",
      "image # 7504, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 7515, layer # relu has outliers [ 9 15 16 19 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 7659, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 7725, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 7781, layer # relu has outliers [15 16 31 35 41 46 47 48 49 57 63]\n",
      "image # 7828, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 7915, layer # relu has outliers [ 4 12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 7933, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 8081, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 8135, layer # relu has outliers [15 16 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 8138, layer # relu has outliers [15 16 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 8161, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 8174, layer # relu has outliers [12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8253, layer # relu has outliers [ 4 12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 8273, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 8342, layer # relu has outliers [ 9 15 16 19 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 8353, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 8372, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 8535, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 8544, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8612, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8717, layer # relu has outliers [12 15 16 23 31 34 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8800, layer # relu has outliers [15 16 19 31 34 35 41 45 46 47 49 57 60 63]\n",
      "image # 8909, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8923, layer # relu has outliers [ 9 15 16 19 31 34 35 41 45 46 47 49 57 60 63]\n",
      "image # 8930, layer # relu has outliers [12 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8933, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 8996, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 9047, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 9111, layer # relu has outliers [15 16 19 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 9208, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 9320, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 9333, layer # relu has outliers [ 9 15 16 19 23 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 9585, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 9597, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 9598, layer # relu has outliers [15 16 31 35 41 46 47 48 49 50 57 63]\n",
      "image # 9611, layer # relu has outliers [ 9 15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 9655, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 9716, layer # relu has outliers [15 16 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 9807, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 9854, layer # relu has outliers [15 16 31 35 41 45 46 47 49 57 63]\n",
      "image # 9870, layer # relu has outliers [12 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 9914, layer # relu has outliers [15 16 19 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 9937, layer # relu has outliers [ 9 12 15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10055, layer # relu has outliers [ 9 15 16 19 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 10087, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 63]\n",
      "image # 10129, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 10156, layer # relu has outliers [15 16 19 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10193, layer # relu has outliers [15 16 19 24 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10259, layer # relu has outliers [15 16 19 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 10263, layer # relu has outliers [12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10269, layer # relu has outliers [ 9 15 16 19 23 31 34 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10273, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 10297, layer # relu has outliers [15 16 23 31 35 41 46 47 48 49 50 57 63]\n",
      "image # 10343, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 10377, layer # relu has outliers [ 9 15 16 19 31 34 35 41 45 46 47 49 57 60 63]\n",
      "image # 10385, layer # relu has outliers [15 16 19 24 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 10398, layer # relu has outliers [15 16 23 31 34 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 10418, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 10513, layer # relu has outliers [15 16 24 31 35 41 46 47 48 49 50 57 60 63]\n",
      "image # 10524, layer # relu has outliers [ 4 12 15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10705, layer # relu has outliers [15 16 19 31 35 41 45 46 47 48 49 57 60 63]\n",
      "image # 10817, layer # relu has outliers [15 16 19 31 35 41 46 47 48 49 57 60 63]\n",
      "image # 10818, layer # relu has outliers [15 16 23 31 35 41 45 46 47 48 49 50 57 60 63]\n",
      "image # 10821, layer # relu has outliers [15 16 19 31 35 41 45 46 47 49 57 60 63]\n",
      "image # 10866, layer # relu has outliers [12 15 16 23 31 35 41 46 47 48 49 57 60 63]\n",
      "layer layer1.0.relu\n",
      "image # 130, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 135, layer # layer1.0.relu has outliers [16 19 23 39 41 43 45 47 48 49 57]\n",
      "image # 250, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 383, layer # layer1.0.relu has outliers [12 15 16 23 31 34 35 41 45 46 47 48 50 57]\n",
      "image # 399, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 519, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 48 50 57]\n",
      "image # 540, layer # layer1.0.relu has outliers [12 15 16 19 23 31 34 35 41 46 47 48 50 57]\n",
      "image # 551, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 46 47 48 57]\n",
      "image # 579, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 739, layer # layer1.0.relu has outliers [12 15 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 751, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 57]\n",
      "image # 818, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 821, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 878, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 46 47 48 50 57]\n",
      "image # 907, layer # layer1.0.relu has outliers [ 1 12 16 23 35 41 45 46 48 50 57]\n",
      "image # 1042, layer # layer1.0.relu has outliers [16 19 23 35 41 45 47 48 50 57]\n",
      "image # 1134, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 1195, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 1207, layer # layer1.0.relu has outliers [15 16 19 23 34 35 39 41 45 46 47 48 57]\n",
      "image # 1250, layer # layer1.0.relu has outliers [16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 1285, layer # layer1.0.relu has outliers [15 16 19 23 39 41 45 46 47 48 50 57]\n",
      "image # 1296, layer # layer1.0.relu has outliers [16 19 23 34 35 36 41 45 46 47 48 50 57]\n",
      "image # 1382, layer # layer1.0.relu has outliers [12 15 16 19 23 34 35 41 45 46 48 50 57]\n",
      "image # 1392, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 46 47 48 50 57]\n",
      "image # 1451, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 48 50 57]\n",
      "image # 1457, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 1520, layer # layer1.0.relu has outliers [15 16 19 23 34 41 45 46 47 48 50 57]\n",
      "image # 1545, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 1724, layer # layer1.0.relu has outliers [ 1 10 12 16 23 31 35 46 48 50 51]\n",
      "image # 1777, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 1846, layer # layer1.0.relu has outliers [12 16 19 23 31 34 35 41 45 46 47 48 50 57]\n",
      "image # 1864, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 48 50 57]\n",
      "image # 1912, layer # layer1.0.relu has outliers [ 1 15 16 19 23 31 34 35 41 46 47 48 50]\n",
      "image # 1969, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 1970, layer # layer1.0.relu has outliers [16 19 23 34 36 41 45 46 47 48 57]\n",
      "image # 2006, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 46 47 48 57]\n",
      "image # 2025, layer # layer1.0.relu has outliers [16 19 23 35 36 39 41 45 47 48 57]\n",
      "image # 2117, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 2269, layer # layer1.0.relu has outliers [16 19 23 35 41 45 48 50 55 57]\n",
      "image # 2421, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 48 50 57]\n",
      "image # 2524, layer # layer1.0.relu has outliers [16 17 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 2530, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 2565, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 2635, layer # layer1.0.relu has outliers [15 16 19 23 35 41 46 48 50]\n",
      "image # 2638, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 2727, layer # layer1.0.relu has outliers [10 12 15 16 23 31 34 46 47 48 50 51]\n",
      "image # 2817, layer # layer1.0.relu has outliers [ 9 16 19 23 25 35 41 45 46 47 48 50 57]\n",
      "image # 2937, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50]\n",
      "image # 2942, layer # layer1.0.relu has outliers [15 16 19 24 41 45 46 48 50 57]\n",
      "image # 2962, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 48 50 57]\n",
      "image # 3065, layer # layer1.0.relu has outliers [12 15 16 23 35 36 41 46 47 48 50]\n",
      "image # 3147, layer # layer1.0.relu has outliers [16 19 23 34 36 41 45 46 47 48 57]\n",
      "image # 3287, layer # layer1.0.relu has outliers [15 16 19 23 24 35 41 45 46 47 48 50 57]\n",
      "image # 3395, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 3643, layer # layer1.0.relu has outliers [16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 3811, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 3846, layer # layer1.0.relu has outliers [16 19 23 35 41 45 47 48 50 57]\n",
      "image # 3930, layer # layer1.0.relu has outliers [ 1 10 12 15 16 19 23 31 35 41 46 47 48 50]\n",
      "image # 3953, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 4002, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 4014, layer # layer1.0.relu has outliers [ 1 12 15 16 23 31 35 46 48 50 51]\n",
      "image # 4064, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 4078, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 4100, layer # layer1.0.relu has outliers [15 16 19 23 24 35 39 41 45 47 48 50 57]\n",
      "image # 4115, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 4256, layer # layer1.0.relu has outliers [ 1 15 16 23 31 35 41 46 48 50]\n",
      "image # 4317, layer # layer1.0.relu has outliers [12 16 23 35 41 45 46 47 48 50]\n",
      "image # 4342, layer # layer1.0.relu has outliers [15 16 19 23 34 35 39 41 45 46 47 48 50 57]\n",
      "image # 4374, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 4388, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 48 50 57]\n",
      "image # 4392, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 4452, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 4484, layer # layer1.0.relu has outliers [16 19 23 39 41 45 47 48 57]\n",
      "image # 4509, layer # layer1.0.relu has outliers [12 15 16 23 35 46 47 48 50]\n",
      "image # 4564, layer # layer1.0.relu has outliers [12 15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 4804, layer # layer1.0.relu has outliers [15 16 19 23 35 41 46 48 50]\n",
      "image # 4833, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 4896, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 4933, layer # layer1.0.relu has outliers [16 17 19 23 39 41 43 45 47 48 57 59]\n",
      "image # 5018, layer # layer1.0.relu has outliers [16 19 23 31 34 35 39 41 45 46 47 48 57]\n",
      "image # 5049, layer # layer1.0.relu has outliers [12 15 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 5193, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 48 50 57]\n",
      "image # 5244, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 5434, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 5518, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 5533, layer # layer1.0.relu has outliers [12 15 16 23 31 34 35 36 41 45 46 47 48 50]\n",
      "image # 5576, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 5611, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 49 57 59]\n",
      "image # 5633, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 5727, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 5805, layer # layer1.0.relu has outliers [15 16 23 35 41 45 46 47 48 50 57]\n",
      "image # 5820, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 5902, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 46 47 48 50 57]\n",
      "image # 5988, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 6046, layer # layer1.0.relu has outliers [16 19 35 39 41 43 45 47 48 49 57 59]\n",
      "image # 6114, layer # layer1.0.relu has outliers [16 19 23 35 36 39 41 43 45 47 57 60]\n",
      "image # 6237, layer # layer1.0.relu has outliers [16 19 23 34 35 39 41 45 46 47 48 50 57]\n",
      "image # 6249, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 6285, layer # layer1.0.relu has outliers [16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 6346, layer # layer1.0.relu has outliers [16 19 23 34 35 41 45 46 48 50]\n",
      "image # 6426, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 6436, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 6499, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 6513, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 6614, layer # layer1.0.relu has outliers [16 19 23 39 41 45 47 57 60]\n",
      "image # 6747, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 6824, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 6908, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 48 50 57]\n",
      "image # 6931, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 6972, layer # layer1.0.relu has outliers [12 15 16 19 23 34 35 41 46 47 48 50 57]\n",
      "image # 6974, layer # layer1.0.relu has outliers [16 19 23 39 41 43 45 47 57]\n",
      "image # 7114, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 7232, layer # layer1.0.relu has outliers [16 19 23 24 35 41 45 46 47 48 50 57]\n",
      "image # 7243, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 7310, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 7357, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 48 50 57]\n",
      "image # 7370, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 7385, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 50 57]\n",
      "image # 7416, layer # layer1.0.relu has outliers [16 19 23 35 41 45 47 48 50 57]\n",
      "image # 7494, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 7504, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 7515, layer # layer1.0.relu has outliers [16 19 23 35 41 45 48 50 57]\n",
      "image # 7659, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 48 50]\n",
      "image # 7725, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 50 57]\n",
      "image # 7781, layer # layer1.0.relu has outliers [15 16 23 46 48 50]\n",
      "image # 7828, layer # layer1.0.relu has outliers [15 16 23 34 35 41 46 47 48 50]\n",
      "image # 7915, layer # layer1.0.relu has outliers [12 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 7933, layer # layer1.0.relu has outliers [15 16 23 35 41 46 48 50]\n",
      "image # 7969, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 8081, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 48 50]\n",
      "image # 8135, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 50 57]\n",
      "image # 8138, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8161, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 8174, layer # layer1.0.relu has outliers [12 15 16 19 23 34 41 45 46 47 48 50 57]\n",
      "image # 8253, layer # layer1.0.relu has outliers [12 15 16 23 31 34 35 41 45 46 47 48 50]\n",
      "image # 8273, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 48 50 57]\n",
      "image # 8342, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8353, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8358, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 50 57]\n",
      "image # 8372, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 8535, layer # layer1.0.relu has outliers [16 19 23 39 41 45 46 48 50 57]\n",
      "image # 8544, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8612, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8717, layer # layer1.0.relu has outliers [ 9 12 16 19 23 35 41 45 46 48 50 57]\n",
      "image # 8755, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 8800, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 8909, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8923, layer # layer1.0.relu has outliers [16 19 23 35 36 39 41 45 47 48 57]\n",
      "image # 8930, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8933, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 8996, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 9047, layer # layer1.0.relu has outliers [15 16 19 23 34 35 41 45 46 47 48 50 57]\n",
      "image # 9111, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 9208, layer # layer1.0.relu has outliers [16 19 23 24 35 41 45 46 47 48 50 57]\n",
      "image # 9320, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 46 47 48 50 57]\n",
      "image # 9333, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 9585, layer # layer1.0.relu has outliers [12 15 16 19 23 35 41 46 48 50]\n",
      "image # 9597, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 48 50 57]\n",
      "image # 9598, layer # layer1.0.relu has outliers [ 1 10 15 16 19 23 35 46 48 50]\n",
      "image # 9611, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 46 47 48 50 57]\n",
      "image # 9655, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 9716, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 47 48 50 57]\n",
      "image # 9807, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 9854, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 9870, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 48 50 57]\n",
      "image # 9914, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 9937, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10055, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10087, layer # layer1.0.relu has outliers [12 15 16 23 35 41 46 47 48 50]\n",
      "image # 10129, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10156, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10193, layer # layer1.0.relu has outliers [15 16 19 23 24 35 41 45 46 48 50 57]\n",
      "image # 10209, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 49 57 59]\n",
      "image # 10225, layer # layer1.0.relu has outliers [16 19 23 35 39 41 43 45 47 48 57]\n",
      "image # 10251, layer # layer1.0.relu has outliers [16 17 19 24 35 39 41 43 45 47 48 49 57]\n",
      "image # 10259, layer # layer1.0.relu has outliers [16 19 23 35 41 45 47 48 50 57]\n",
      "image # 10263, layer # layer1.0.relu has outliers [ 1 10 12 16 19 23 35 41 45 46 48 50]\n",
      "image # 10269, layer # layer1.0.relu has outliers [16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10273, layer # layer1.0.relu has outliers [15 16 19 23 35 41 46 48 50 57]\n",
      "image # 10297, layer # layer1.0.relu has outliers [ 1 10 12 15 16 23 31 35 46 48 50]\n",
      "image # 10343, layer # layer1.0.relu has outliers [12 15 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 10377, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 10385, layer # layer1.0.relu has outliers [15 16 19 23 24 35 41 45 46 48 50 57]\n",
      "image # 10398, layer # layer1.0.relu has outliers [15 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10418, layer # layer1.0.relu has outliers [16 19 23 35 39 41 45 47 48 57]\n",
      "image # 10513, layer # layer1.0.relu has outliers [15 16 19 23 24 35 41 45 46 47 48 50 57]\n",
      "image # 10524, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10705, layer # layer1.0.relu has outliers [15 16 19 23 35 39 41 45 46 47 48 57]\n",
      "image # 10817, layer # layer1.0.relu has outliers [16 19 23 35 41 45 47 48 57]\n",
      "image # 10818, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50 57]\n",
      "image # 10821, layer # layer1.0.relu has outliers [15 16 19 23 39 41 45 47 48 57]\n",
      "image # 10866, layer # layer1.0.relu has outliers [12 16 19 23 35 41 45 46 47 48 50]\n",
      "image # 10946, layer # layer1.0.relu has outliers [16 19 39 41 43 45 47 49 57 59 60]\n",
      "layer layer1.1.relu\n",
      "image # 130, layer # layer1.1.relu has outliers [ 8 10 19 29 35 39 48 57]\n",
      "image # 135, layer # layer1.1.relu has outliers [ 9 19 29 35 39 48 51 57]\n",
      "image # 250, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 383, layer # layer1.1.relu has outliers [ 8 29 35 39 48 50 57]\n",
      "image # 399, layer # layer1.1.relu has outliers [17 19 29 35 39 48 57]\n",
      "image # 519, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 540, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 551, layer # layer1.1.relu has outliers [19 29 35 39 48]\n",
      "image # 579, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 739, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 751, layer # layer1.1.relu has outliers [ 8  9 17 19 35 39 48 51]\n",
      "image # 818, layer # layer1.1.relu has outliers [19 29 32 35 39 48 50 57]\n",
      "image # 821, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 878, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 57]\n",
      "image # 907, layer # layer1.1.relu has outliers [17 29 35 39 45 48 50 57]\n",
      "image # 1042, layer # layer1.1.relu has outliers [ 9 19 29 35 39 48 57]\n",
      "image # 1134, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 1195, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 1207, layer # layer1.1.relu has outliers [19 23 29 31 34 35 39 48 57]\n",
      "image # 1250, layer # layer1.1.relu has outliers [19 29 34 35 39 48 51 57]\n",
      "image # 1285, layer # layer1.1.relu has outliers [15 19 29 39 48]\n",
      "image # 1296, layer # layer1.1.relu has outliers [ 9 19 29 32 35 36 39 45 48 51]\n",
      "image # 1382, layer # layer1.1.relu has outliers [17 29 35 39 48 50 57]\n",
      "image # 1392, layer # layer1.1.relu has outliers [15 17 19 24 29 35 39 48 57]\n",
      "image # 1451, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 1457, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 1520, layer # layer1.1.relu has outliers [15 19 29 39 48 50 57]\n",
      "image # 1545, layer # layer1.1.relu has outliers [ 8  9 17 19 29 35 39 48 50 57]\n",
      "image # 1724, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 1777, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 1846, layer # layer1.1.relu has outliers [29 34 35 39 48 50 57]\n",
      "image # 1864, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 50 57]\n",
      "image # 1912, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 1969, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 1970, layer # layer1.1.relu has outliers [ 9 19 31 32 34 36 39 45 48 51 59]\n",
      "image # 2006, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 2025, layer # layer1.1.relu has outliers [ 9 19 29 32 35 39 48 51]\n",
      "image # 2117, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 2269, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 2421, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 2524, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 57]\n",
      "image # 2530, layer # layer1.1.relu has outliers [ 8  9 17 19 29 35 39 48 57]\n",
      "image # 2565, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 2635, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 2638, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 2727, layer # layer1.1.relu has outliers [10 15 29 39 48 50 57]\n",
      "image # 2817, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 2937, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 2942, layer # layer1.1.relu has outliers [19 24 29 39 48 50 57]\n",
      "image # 2962, layer # layer1.1.relu has outliers [17 19 29 35 39 48]\n",
      "image # 3065, layer # layer1.1.relu has outliers [17 29 32 35 39 48]\n",
      "image # 3147, layer # layer1.1.relu has outliers [ 9 19 31 32 34 36 39 48 51 59]\n",
      "image # 3287, layer # layer1.1.relu has outliers [ 8 17 19 24 29 35 39 48 57]\n",
      "image # 3395, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 3643, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 3811, layer # layer1.1.relu has outliers [ 8  9 17 19 29 35 39 48 57]\n",
      "image # 3846, layer # layer1.1.relu has outliers [ 9 17 19 29 32 35 39 48 57]\n",
      "image # 3930, layer # layer1.1.relu has outliers [10 19 29 39 48 50 57]\n",
      "image # 3953, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 50 57]\n",
      "image # 4002, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 4014, layer # layer1.1.relu has outliers [15 17 29 32 39 40 49 50]\n",
      "image # 4064, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 4078, layer # layer1.1.relu has outliers [17 19 29 35 39 48 57]\n",
      "image # 4100, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 57]\n",
      "image # 4115, layer # layer1.1.relu has outliers [ 8  9 19 29 32 35 39 48]\n",
      "image # 4256, layer # layer1.1.relu has outliers [19 29 39 48 50 57]\n",
      "image # 4317, layer # layer1.1.relu has outliers [17 19 29 32 35 39 48 50 57]\n",
      "image # 4342, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 57]\n",
      "image # 4374, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 4388, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 50 57]\n",
      "image # 4392, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 4452, layer # layer1.1.relu has outliers [ 8  9 17 19 29 35 39 48]\n",
      "image # 4484, layer # layer1.1.relu has outliers [ 9 17 19 29 32 39 48]\n",
      "image # 4509, layer # layer1.1.relu has outliers [17 29 32 35 39 48 50]\n",
      "image # 4564, layer # layer1.1.relu has outliers [19 29 34 35 39 48 57]\n",
      "image # 4804, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 4833, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 57]\n",
      "image # 4896, layer # layer1.1.relu has outliers [17 19 29 35 39 48 57]\n",
      "image # 4933, layer # layer1.1.relu has outliers [ 8  9 17 19 32 35 39 48 57]\n",
      "image # 5018, layer # layer1.1.relu has outliers [ 8 23 31 34 35 39 47 48 57]\n",
      "image # 5049, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 5193, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 5244, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 5434, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 5518, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48]\n",
      "image # 5533, layer # layer1.1.relu has outliers [29 32 34 35 36 39 48 50 51]\n",
      "image # 5576, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 5611, layer # layer1.1.relu has outliers [ 9 17 19 35 39 48 51]\n",
      "image # 5633, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 5727, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 5805, layer # layer1.1.relu has outliers [17 29 35 39 48 50 57]\n",
      "image # 5820, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 50 57]\n",
      "image # 5902, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 5988, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 57]\n",
      "image # 6046, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48]\n",
      "image # 6114, layer # layer1.1.relu has outliers [ 9 19 32 35 39 48 51]\n",
      "image # 6237, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 6249, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 6285, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 6346, layer # layer1.1.relu has outliers [ 8 29 35 39 48 50 57]\n",
      "image # 6426, layer # layer1.1.relu has outliers [17 19 29 35 39 48 57]\n",
      "image # 6436, layer # layer1.1.relu has outliers [ 8  9 17 19 29 35 39 48]\n",
      "image # 6499, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 6513, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 6614, layer # layer1.1.relu has outliers [ 8  9 10 19 29 39 45 48]\n",
      "image # 6747, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 6824, layer # layer1.1.relu has outliers [10 19 29 39 48 50 57]\n",
      "image # 6908, layer # layer1.1.relu has outliers [19 29 39 48 50 57]\n",
      "image # 6931, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 6972, layer # layer1.1.relu has outliers [10 23 29 39 48 50 57]\n",
      "image # 6974, layer # layer1.1.relu has outliers [ 9 19 32 39 48 51]\n",
      "image # 7114, layer # layer1.1.relu has outliers [17 19 29 32 35 39 45 48]\n",
      "image # 7232, layer # layer1.1.relu has outliers [ 8 17 19 24 29 35 39 48 50 57]\n",
      "image # 7243, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 7310, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 7357, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 7370, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 57]\n",
      "image # 7385, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 7416, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 57]\n",
      "image # 7494, layer # layer1.1.relu has outliers [17 29 35 39 48 50 57]\n",
      "image # 7504, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 7515, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 7659, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 7725, layer # layer1.1.relu has outliers [17 19 29 32 35 39 48 57]\n",
      "image # 7781, layer # layer1.1.relu has outliers [24 29 39 48 50]\n",
      "image # 7828, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 7915, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 7933, layer # layer1.1.relu has outliers [17 29 39 48 50 57]\n",
      "image # 7969, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 8081, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 8135, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 8138, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 50 57]\n",
      "image # 8161, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 57]\n",
      "image # 8174, layer # layer1.1.relu has outliers [10 19 29 39 45 48 50 57]\n",
      "image # 8253, layer # layer1.1.relu has outliers [29 35 39 48 50 57]\n",
      "image # 8273, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 50 57]\n",
      "image # 8342, layer # layer1.1.relu has outliers [ 9 19 29 35 39 48 57]\n",
      "image # 8353, layer # layer1.1.relu has outliers [17 19 24 29 35 39 48 50 57]\n",
      "image # 8358, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 8372, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 8535, layer # layer1.1.relu has outliers [10 16 19 29 39 48 50 57]\n",
      "image # 8544, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 8612, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 8717, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 8755, layer # layer1.1.relu has outliers [ 8  9 17 19 29 35 39 48 57]\n",
      "image # 8800, layer # layer1.1.relu has outliers [ 9 19 29 35 39 47 48]\n",
      "image # 8909, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 8923, layer # layer1.1.relu has outliers [ 9 19 29 32 35 39 48 51]\n",
      "image # 8930, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 8933, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 8996, layer # layer1.1.relu has outliers [ 8 23 29 34 35 39 48 57]\n",
      "image # 9047, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 9111, layer # layer1.1.relu has outliers [ 9 19 29 35 39 41 48]\n",
      "image # 9208, layer # layer1.1.relu has outliers [ 8 17 19 24 29 35 39 48 50 57]\n",
      "image # 9320, layer # layer1.1.relu has outliers [19 29 35 39 48 57]\n",
      "image # 9333, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 9585, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 9597, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 9598, layer # layer1.1.relu has outliers [ 8 17 19 24 29 39 48 50]\n",
      "image # 9611, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 57]\n",
      "image # 9655, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 9716, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 57]\n",
      "image # 9807, layer # layer1.1.relu has outliers [ 8 19 24 29 35 39 48 50 57]\n",
      "image # 9854, layer # layer1.1.relu has outliers [ 9 17 19 29 32 35 39 48]\n",
      "image # 9870, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 50 57]\n",
      "image # 9914, layer # layer1.1.relu has outliers [17 19 29 35 39 48]\n",
      "image # 9937, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 50 57]\n",
      "image # 10055, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 10087, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 10129, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 10156, layer # layer1.1.relu has outliers [19 29 35 39 48 50 57]\n",
      "image # 10193, layer # layer1.1.relu has outliers [ 8 19 24 29 35 39 48 50 57]\n",
      "image # 10209, layer # layer1.1.relu has outliers [17 19 29 32 35 39 48 51 57]\n",
      "image # 10225, layer # layer1.1.relu has outliers [ 9 17 19 29 35 39 48 57]\n",
      "image # 10251, layer # layer1.1.relu has outliers [ 8 17 19 24 29 35 39 48]\n",
      "image # 10259, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48 57]\n",
      "image # 10263, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 10269, layer # layer1.1.relu has outliers [ 8  9 19 29 35 39 48 57]\n",
      "image # 10273, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 10297, layer # layer1.1.relu has outliers [ 8 29 39 48 50 57]\n",
      "image # 10343, layer # layer1.1.relu has outliers [17 19 29 35 39 48 50 57]\n",
      "image # 10377, layer # layer1.1.relu has outliers [ 9 19 29 35 39 48]\n",
      "image # 10385, layer # layer1.1.relu has outliers [ 8 17 19 24 29 35 39 48 50 57]\n",
      "image # 10398, layer # layer1.1.relu has outliers [19 29 32 35 39 48 50 57]\n",
      "image # 10418, layer # layer1.1.relu has outliers [ 9 19 29 35 39 48 57]\n",
      "image # 10513, layer # layer1.1.relu has outliers [ 8 17 19 24 29 35 39 48 50 57]\n",
      "image # 10524, layer # layer1.1.relu has outliers [19 29 32 35 36 39 48 50 57]\n",
      "image # 10705, layer # layer1.1.relu has outliers [17 19 29 35 39 48 57]\n",
      "image # 10817, layer # layer1.1.relu has outliers [ 8 17 19 29 35 39 48]\n",
      "image # 10818, layer # layer1.1.relu has outliers [ 8 19 29 35 39 48 50 57]\n",
      "image # 10821, layer # layer1.1.relu has outliers [ 8  9 19 29 35 39 48 57]\n",
      "image # 10866, layer # layer1.1.relu has outliers [17 19 29 32 35 39 45 48 50]\n",
      "image # 10946, layer # layer1.1.relu has outliers [ 9 15 19 29 32 35 39 41 48 51]\n",
      "layer layer1.2.relu\n",
      "image # 130, layer # layer1.2.relu has outliers [ 1  8 10 17 19 32 39 48 59]\n",
      "image # 135, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 250, layer # layer1.2.relu has outliers [ 1  8 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 383, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 39 48 50 51 59]\n",
      "image # 399, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 24 35 39 48 51 59]\n",
      "image # 519, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 59]\n",
      "image # 540, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 551, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 59]\n",
      "image # 579, layer # layer1.2.relu has outliers [ 1  8 10 17 19 35 39 48 50 51 59]\n",
      "image # 739, layer # layer1.2.relu has outliers [ 1  8 10 17 19 32 35 39 48 50 59]\n",
      "image # 751, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 818, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 39 48 50 51 59]\n",
      "image # 821, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 57 59]\n",
      "image # 878, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 35 39 48 51 59]\n",
      "image # 907, layer # layer1.2.relu has outliers [ 1 10 17 29 32 39 48 50 51 59]\n",
      "image # 1042, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 1134, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 29 35 39 48 50 57 59]\n",
      "image # 1195, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 1207, layer # layer1.2.relu has outliers [ 1  9 10 17 19 31 32 39 48 51 59 63]\n",
      "image # 1250, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 39 48 51 57 59]\n",
      "image # 1285, layer # layer1.2.relu has outliers [ 1 10 17 19 24 39 43 48 59]\n",
      "image # 1296, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 36 39 48 51 59]\n",
      "image # 1382, layer # layer1.2.relu has outliers [ 1 10 17 19 29 39 48 50 59]\n",
      "image # 1392, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 29 32 39 48 51 59]\n",
      "image # 1451, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 1457, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 39 48 51 57 59]\n",
      "image # 1520, layer # layer1.2.relu has outliers [ 1 10 19 24 29 32 39 48 50 59]\n",
      "image # 1545, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 50 51 59]\n",
      "image # 1724, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 35 39 48 50 51]\n",
      "image # 1777, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 39 48 51 59]\n",
      "image # 1846, layer # layer1.2.relu has outliers [ 1  9 10 12 19 29 31 39 48 57 59]\n",
      "image # 1864, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 1912, layer # layer1.2.relu has outliers [ 1  8 10 19 24 29 35 39 48 50]\n",
      "image # 1969, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 1970, layer # layer1.2.relu has outliers [ 9 10 12 19 31 32 36 39 48 51 59]\n",
      "image # 2006, layer # layer1.2.relu has outliers [ 1  9 10 17 19 35 39 48 51 59]\n",
      "image # 2025, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 2117, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 2269, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 50 51 55 59]\n",
      "image # 2421, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 24 35 39 48 50 51 59]\n",
      "image # 2524, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 24 32 35 39 48 51 59]\n",
      "image # 2530, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 57 59]\n",
      "image # 2565, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 57 59]\n",
      "image # 2635, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 32 35 39 48 50 59]\n",
      "image # 2638, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 29 35 39 48 50 51 57 59]\n",
      "image # 2727, layer # layer1.2.relu has outliers [ 1  8 10 29 32 39 48 50 51 59]\n",
      "image # 2817, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 2937, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 2942, layer # layer1.2.relu has outliers [ 1 10 17 19 24 39 48 50]\n",
      "image # 2962, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 51 59]\n",
      "image # 3065, layer # layer1.2.relu has outliers [ 1 10 17 29 32 36 39 48 51 59]\n",
      "image # 3147, layer # layer1.2.relu has outliers [ 9 10 17 19 31 32 34 36 39 48 51 59 63]\n",
      "image # 3287, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 35 39 48 51 59]\n",
      "image # 3395, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 29 32 35 39 48 51 57 59]\n",
      "image # 3643, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 29 35 39 48 51 57 59]\n",
      "image # 3811, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 3846, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 3930, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 39 48 50]\n",
      "image # 3953, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 35 39 48 50 51 59]\n",
      "image # 4002, layer # layer1.2.relu has outliers [ 1  9 10 17 19 35 39 48 59]\n",
      "image # 4014, layer # layer1.2.relu has outliers [ 1 10 17 29 32 36 39 48 49 50 51]\n",
      "image # 4064, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 50 51 57 59]\n",
      "image # 4078, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 51 59]\n",
      "image # 4100, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 35 39 48 51 59]\n",
      "image # 4115, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 4256, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 32 39 48 50 59]\n",
      "image # 4317, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 4342, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 29 35 39 48 51 57 59]\n",
      "image # 4374, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 29 35 39 48 50 51 59]\n",
      "image # 4388, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 50 51 59]\n",
      "image # 4392, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 50 57 59]\n",
      "image # 4452, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 4484, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 39 48 51 59]\n",
      "image # 4509, layer # layer1.2.relu has outliers [ 1 10 17 29 32 39 48 50 51 59]\n",
      "image # 4564, layer # layer1.2.relu has outliers [ 1  8  9 10 12 19 29 35 39 48 51 59]\n",
      "image # 4804, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 32 35 39 48 50 59]\n",
      "image # 4833, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 59]\n",
      "image # 4896, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 51 57 59]\n",
      "image # 4933, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 5018, layer # layer1.2.relu has outliers [ 8 10 19 29 31 35 39 48 57 59 63]\n",
      "image # 5049, layer # layer1.2.relu has outliers [ 1 10 17 19 29 35 39 48 50 51 59]\n",
      "image # 5193, layer # layer1.2.relu has outliers [ 1  8 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 5244, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 35 39 48 50 57 59]\n",
      "image # 5434, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 50 51 59]\n",
      "image # 5518, layer # layer1.2.relu has outliers [ 1  8 10 17 19 32 35 39 48 51 59]\n",
      "image # 5533, layer # layer1.2.relu has outliers [ 1 10 12 17 31 32 34 36 39 48 51 59]\n",
      "image # 5576, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 39 48 51 59]\n",
      "image # 5611, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 59]\n",
      "image # 5633, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 5727, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 5805, layer # layer1.2.relu has outliers [ 1  9 10 17 29 35 39 48 50 57 59]\n",
      "image # 5820, layer # layer1.2.relu has outliers [ 1 10 17 19 24 35 39 48 50 51 59]\n",
      "image # 5902, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 24 35 39 48 50 59]\n",
      "image # 5988, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 59]\n",
      "image # 6046, layer # layer1.2.relu has outliers [ 1  9 10 17 19 35 39 48 51 59]\n",
      "image # 6114, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 51 59]\n",
      "image # 6237, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 59]\n",
      "image # 6249, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 35 39 48 50 59]\n",
      "image # 6285, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 57 59]\n",
      "image # 6346, layer # layer1.2.relu has outliers [ 1  8 10 17 19 35 39 48 50 59]\n",
      "image # 6426, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 39 48 51 59]\n",
      "image # 6436, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 6499, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 6513, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 6614, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 39 51 54 59]\n",
      "image # 6747, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 51 57 59]\n",
      "image # 6824, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 39 48 50 51 59]\n",
      "image # 6908, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 32 39 48 50 59]\n",
      "image # 6931, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 35 39 48 50 57 59]\n",
      "image # 6972, layer # layer1.2.relu has outliers [ 1 10 17 19 29 39 43 48 50 57 59]\n",
      "image # 6974, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 51 59]\n",
      "image # 7114, layer # layer1.2.relu has outliers [ 1  8 10 17 19 32 35 39 48 51 59]\n",
      "image # 7232, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 35 39 48 50 51 59]\n",
      "image # 7243, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 59]\n",
      "image # 7310, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 50 59]\n",
      "image # 7357, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 39 48 50 57 59]\n",
      "image # 7370, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 59]\n",
      "image # 7385, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 7416, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 29 32 35 39 48 51 59]\n",
      "image # 7494, layer # layer1.2.relu has outliers [ 1  9 10 17 29 32 35 39 48 59]\n",
      "image # 7504, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 35 39 48 50 57 59]\n",
      "image # 7515, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 7659, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 7725, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 7781, layer # layer1.2.relu has outliers [ 1  8 10 17 24 39 48 50 59]\n",
      "image # 7828, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 32 35 39 48 50 59]\n",
      "image # 7915, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 57 59]\n",
      "image # 7933, layer # layer1.2.relu has outliers [ 1 10 17 29 39 48 50 59]\n",
      "image # 7969, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 8081, layer # layer1.2.relu has outliers [ 1  8 10 17 19 35 39 48 50 51 59]\n",
      "image # 8135, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 8138, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 35 39 48 50 51]\n",
      "image # 8161, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 8174, layer # layer1.2.relu has outliers [ 1  9 10 12 19 29 32 39 48 50 51 57 59]\n",
      "image # 8253, layer # layer1.2.relu has outliers [ 1  8  9 10 12 17 29 32 36 39 48 50 51 59]\n",
      "image # 8273, layer # layer1.2.relu has outliers [ 1 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 8342, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 51 59]\n",
      "image # 8353, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 35 39 48 50 51 59]\n",
      "image # 8358, layer # layer1.2.relu has outliers [ 1  9 10 17 19 35 39 48 51 59]\n",
      "image # 8372, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 35 39 48 57 59]\n",
      "image # 8535, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 39 48 50 51 59]\n",
      "image # 8544, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 8612, layer # layer1.2.relu has outliers [ 1 10 17 19 35 39 48 50 51 59]\n",
      "image # 8717, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 8755, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 8800, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 43 48 51 59]\n",
      "image # 8909, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 8923, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 8930, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 59]\n",
      "image # 8933, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 8996, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 35 39 48 51 57 59]\n",
      "image # 9047, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 35 39 48 50 59]\n",
      "image # 9111, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 59]\n",
      "image # 9208, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 9320, layer # layer1.2.relu has outliers [ 1 10 17 19 24 35 39 48 51 59]\n",
      "image # 9333, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 9585, layer # layer1.2.relu has outliers [ 1 10 17 19 24 29 32 35 39 48 50]\n",
      "image # 9597, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 35 39 48 50 59]\n",
      "image # 9598, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 9611, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 59]\n",
      "image # 9655, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 29 35 39 48 50 57 59]\n",
      "image # 9716, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 51 57 59]\n",
      "image # 9807, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 35 39 48 50 59]\n",
      "image # 9854, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 9870, layer # layer1.2.relu has outliers [ 1  8 10 12 17 19 35 39 48 50 59]\n",
      "image # 9914, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 51 59]\n",
      "image # 9937, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 35 39 48 50 51 57 59]\n",
      "image # 10055, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 10087, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 35 39 48 50 51]\n",
      "image # 10129, layer # layer1.2.relu has outliers [ 1 10 17 19 24 35 39 48 50 51 59]\n",
      "image # 10156, layer # layer1.2.relu has outliers [ 1 10 17 19 29 35 39 48 50 59]\n",
      "image # 10193, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 10209, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 10225, layer # layer1.2.relu has outliers [ 1  9 10 17 19 35 39 48 51 59]\n",
      "image # 10251, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 24 35 39 48 51 59]\n",
      "image # 10259, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 10263, layer # layer1.2.relu has outliers [ 1  8 10 17 19 35 39 48 50 51 59]\n",
      "image # 10269, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 10273, layer # layer1.2.relu has outliers [ 1 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 10297, layer # layer1.2.relu has outliers [ 1  8 10 17 19 29 32 39 48 50 59]\n",
      "image # 10343, layer # layer1.2.relu has outliers [ 1 10 17 19 32 39 48 50 51 59]\n",
      "image # 10377, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 51 59]\n",
      "image # 10385, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 35 39 48 50 51 59]\n",
      "image # 10398, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 10418, layer # layer1.2.relu has outliers [ 1  9 10 17 19 35 39 48 51 59]\n",
      "image # 10513, layer # layer1.2.relu has outliers [ 1  8 10 17 19 24 32 35 39 48 50 51 59]\n",
      "image # 10524, layer # layer1.2.relu has outliers [ 1  9 10 17 19 29 32 35 36 39 48 50 51 59]\n",
      "image # 10705, layer # layer1.2.relu has outliers [ 1  9 10 17 19 24 29 35 39 48 51 59]\n",
      "image # 10817, layer # layer1.2.relu has outliers [ 1  8 10 17 19 35 39 48 51 59]\n",
      "image # 10818, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 29 32 35 39 48 50 51 59]\n",
      "image # 10821, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 35 39 48 57 59]\n",
      "image # 10866, layer # layer1.2.relu has outliers [ 1  9 10 17 19 32 35 39 48 50 51 59]\n",
      "image # 10946, layer # layer1.2.relu has outliers [ 1  8  9 10 17 19 32 35 39 48 51 59]\n",
      "layer layer2.0.relu\n",
      "image # 130, layer # layer2.0.relu has outliers [  7  20  23  35  44  45  50  59  66  74  85  86  96  97 105 114 126]\n",
      "image # 135, layer # layer2.0.relu has outliers [  0   7  20  27  44  49  50  59  63  66  74  86  96 103 115 126]\n",
      "image # 250, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  50  59  66  72  74  75  85  86  97 107 115]\n",
      "image # 383, layer # layer2.0.relu has outliers [  0   7  16  20  25  35  44  50  59  66  69  72  74  86  97 115]\n",
      "image # 399, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  45  50  51  59  60  66  72  86  96 115]\n",
      "image # 519, layer # layer2.0.relu has outliers [  0   5   7  12  20  21  25  35  38  44  46  50  51  72  84  86  89  96\n",
      "  97 115]\n",
      "image # 540, layer # layer2.0.relu has outliers [  7  20  27  34  35  44  45  50  65  66  69  86  97  98 105 107 115]\n",
      "image # 551, layer # layer2.0.relu has outliers [  0   7  20  34  35  44  50  51  65  66  69  74  89  96  97 114 115]\n",
      "image # 579, layer # layer2.0.relu has outliers [  0   7  20  27  31  35  44  45  50  59  65  66  69  72  80  86  96  97\n",
      "  98 115]\n",
      "image # 739, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  51  59  64  66  86  96 103 105 107 115 126]\n",
      "image # 751, layer # layer2.0.relu has outliers [  0   7  20  35  40  44  46  50  51  59  65  66  72  74  85  86  89  96\n",
      "  97 109 115]\n",
      "image # 818, layer # layer2.0.relu has outliers [  7  20  27  34  35  44  45  59  66  69  75  85  86  96 126]\n",
      "image # 821, layer # layer2.0.relu has outliers [  0   7  20  35  44  50  72  80  86  96  97  98 115]\n",
      "image # 878, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  59  60  66  72  85  86  97 115]\n",
      "image # 907, layer # layer2.0.relu has outliers [  7  20  23  25  35  44  50  65  66  69  72  85  86  97 113 115]\n",
      "image # 1042, layer # layer2.0.relu has outliers [  0   5   7  20  25  27  34  35  44  46  50  69  72  80  85  86  96  97\n",
      " 115]\n",
      "image # 1134, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  60  64  69  72  80  86  96  97 115]\n",
      "image # 1195, layer # layer2.0.relu has outliers [  7  20  25  27  35  40  44  45  50  66  69  85  86  89  97 103 107 109\n",
      " 115 126]\n",
      "image # 1207, layer # layer2.0.relu has outliers [  7  20  27  34  35  40  42  44  50  56  59  65  66  69  74  75  80  85\n",
      "  86  90  96  98 114 121]\n",
      "image # 1250, layer # layer2.0.relu has outliers [  7  18  20  27  35  40  44  50  65  66  80  85  86  90  97 108 115]\n",
      "image # 1285, layer # layer2.0.relu has outliers [  7  20  23  27  34  35  44  66  69  74  96 110 126]\n",
      "image # 1296, layer # layer2.0.relu has outliers [  1   7  18  20  23  34  35  44  50  59  66  74  76  78  80  85  86  90\n",
      "  97 114]\n",
      "image # 1382, layer # layer2.0.relu has outliers [  7  20  23  29  34  35  40  44  50  65  66  69  72  74  75  85  86  96\n",
      "  97  98 107 115]\n",
      "image # 1392, layer # layer2.0.relu has outliers [  7  20  27  35  44  45  50  59  60  66  72  75  86  96  97 115 126]\n",
      "image # 1451, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  51  59  64  66  69  72  80  84  86  89  97\n",
      " 105 109 115]\n",
      "image # 1457, layer # layer2.0.relu has outliers [  0   7  20  23  27  34  35  42  44  50  66  69  74  75  80  85  86  96\n",
      "  98 114]\n",
      "image # 1520, layer # layer2.0.relu has outliers [  7  20  23  27  35  44  50  66  69  96 110 114 126]\n",
      "image # 1545, layer # layer2.0.relu has outliers [  0   7  20  35  44  50  59  66  80  85  86  89  96  97 115]\n",
      "image # 1724, layer # layer2.0.relu has outliers [  7  20  23  35  44  50  59  64  66  69  86  97 105 113 115]\n",
      "image # 1777, layer # layer2.0.relu has outliers [  7  20  27  35  44  50  59  66  72  75  86  96  97  98 106 115]\n",
      "image # 1846, layer # layer2.0.relu has outliers [  7  20  27  34  35  40  42  44  50  59  66  74  75  80  85  96  98 113\n",
      " 114 126]\n",
      "image # 1864, layer # layer2.0.relu has outliers [  5   7  20  25  35  44  45  50  59  60  64  72  86  97 107 115]\n",
      "image # 1912, layer # layer2.0.relu has outliers [  7  27  34  35  44  45  59  64  66  86  96  98 105]\n",
      "image # 1969, layer # layer2.0.relu has outliers [  0   7  20  25  34  35  40  44  50  65  66  69  72  80  84  85  86  96\n",
      "  97  98 115 126]\n",
      "image # 1970, layer # layer2.0.relu has outliers [ 1 18 20 23 27 34 35 44 56 59 66 74 76 78 80 85 90]\n",
      "image # 2006, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  65  66  69  72  80  85  86  96  97 103\n",
      " 115]\n",
      "image # 2025, layer # layer2.0.relu has outliers [  1   7  18  20  34  35  44  50  66  74  78  80  85  86  90  96 115]\n",
      "image # 2117, layer # layer2.0.relu has outliers [  0   5   7  12  20  21  25  35  38  44  46  50  51  72  80  84  86  89\n",
      "  96  97 103 104 115 126]\n",
      "image # 2269, layer # layer2.0.relu has outliers [  7  20  44  45  50  53  72  96 108 115]\n",
      "image # 2421, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  51  59  60  66  72  75  84  86  96\n",
      "  97 104 107 115]\n",
      "image # 2524, layer # layer2.0.relu has outliers [  0   7  20  25  44  50  59  60  66  72  86  97 104 115]\n",
      "image # 2530, layer # layer2.0.relu has outliers [  0   7  20  21  25  35  44  50  59  60  66  72  74  80  85  86  96  97\n",
      " 115]\n",
      "image # 2565, layer # layer2.0.relu has outliers [  0   7  20  25  27  35  44  50  65  66  72  75  80  85  86  96  97  98\n",
      " 107 115 126]\n",
      "image # 2635, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  59  60  66  72  75  86  96 115 126]\n",
      "image # 2638, layer # layer2.0.relu has outliers [  0   7  20  34  35  40  44  50  59  66  69  74  80  85  86  96  97 105\n",
      " 115 126]\n",
      "image # 2727, layer # layer2.0.relu has outliers [  0   7  20  23  27  35  42  44  59  66  72  86  96 105]\n",
      "image # 2817, layer # layer2.0.relu has outliers [  0   5  20  21  25  35  44  50  59  66  72  75  80  86  96 115]\n",
      "image # 2937, layer # layer2.0.relu has outliers [  7  20  35  44  45  50  59  64  66  69  72  80  86  97  98 107 115]\n",
      "image # 2942, layer # layer2.0.relu has outliers [45 60]\n",
      "image # 2962, layer # layer2.0.relu has outliers [  0   5   7  20  25  34  35  44  50  65  66  69  72  80  84  85  86  89\n",
      "  96  97 115]\n",
      "image # 3065, layer # layer2.0.relu has outliers [  0   1  18  20  35  44  50  59  65  66  78  86  90  97 105 115]\n",
      "image # 3147, layer # layer2.0.relu has outliers [  1  18  20  23  34  35  44  59  66  74  76  78  85  90  96 114]\n",
      "image # 3287, layer # layer2.0.relu has outliers [  7  20  35  44  45  50  59  60  66  85  86 115]\n",
      "image # 3395, layer # layer2.0.relu has outliers [  7  20  27  34  44  50  59  60  65  66  74  75  80  85  86  98 107 115]\n",
      "image # 3643, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  40  44  50  59  65  66  72  80  85  86  96  97\n",
      "  98 115]\n",
      "image # 3811, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  65  66  69  72  80  84  85  86  89  96\n",
      "  97 115 126]\n",
      "image # 3846, layer # layer2.0.relu has outliers [  0   7  20  25  35  40  44  50  51  59  65  66  84  86  89  97 103 115\n",
      " 126]\n",
      "image # 3930, layer # layer2.0.relu has outliers [  0   7  20  23  27  35  44  50  65  66  89  97 113 126]\n",
      "image # 3953, layer # layer2.0.relu has outliers [  0   5   7  20  25  34  44  45  46  60  69  72  75  86  96  97  98 115]\n",
      "image # 4002, layer # layer2.0.relu has outliers [  0   7  20  27  31  35  42  44  50  56  66  69  74  80  85 114 115 126]\n",
      "image # 4014, layer # layer2.0.relu has outliers [ 20  23  50  59  66  72  78 113]\n",
      "image # 4064, layer # layer2.0.relu has outliers [  0   7  20  35  40  44  50  65  69  72  86  96  97 115 126]\n",
      "image # 4078, layer # layer2.0.relu has outliers [  0   7  20  29  34  35  44  50  65  66  69  72  80  85  86  96  97 115]\n",
      "image # 4100, layer # layer2.0.relu has outliers [  0   7  20  31  35  44  45  50  59  60  66  72  86  96  97 115]\n",
      "image # 4115, layer # layer2.0.relu has outliers [  0   7  20  21  25  35  44  50  59  66  69  72  74  84  86  89  97 115]\n",
      "image # 4256, layer # layer2.0.relu has outliers [  7  20  23  35  44  50  66 105 115]\n",
      "image # 4317, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  66  72  75  84  86  96  97 105 109 115]\n",
      "image # 4342, layer # layer2.0.relu has outliers [ 7 20 27 34 35 44 50 59 66 74 75 80 85 86 96 98]\n",
      "image # 4374, layer # layer2.0.relu has outliers [  0   7  20  25  34  35  44  45  50  59  66  69  72  75  80  85  86  96\n",
      "  97  98 105 115]\n",
      "image # 4388, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  50  51  59  66  72  80  84  86  89  96  97\n",
      " 115]\n",
      "image # 4392, layer # layer2.0.relu has outliers [  7  20  34  35  40  44  45  50  65  66  69  72  74  80  85  97 103]\n",
      "image # 4452, layer # layer2.0.relu has outliers [  0   5   7  20  21  25  35  44  50  51  66  69  72  75  84  85  86  89\n",
      "  96  97 104 109 115]\n",
      "image # 4484, layer # layer2.0.relu has outliers [  0   5  20  25  29  35  44  50  66  72  75  85  86  90  96  97  98 115\n",
      " 126]\n",
      "image # 4509, layer # layer2.0.relu has outliers [  0  20  25  35  44  50  59  66  72  75  84  86  96 105 115]\n",
      "image # 4564, layer # layer2.0.relu has outliers [  7  15  27  34  35  44  50  66  74  75  80  85  86  96  98 107]\n",
      "image # 4804, layer # layer2.0.relu has outliers [  0   7  20  44 115]\n",
      "image # 4833, layer # layer2.0.relu has outliers [  0   7  20  34  35  44  50  59  65  66  72  74  80  85  86  96  97  98\n",
      " 115 126]\n",
      "image # 4896, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  44  45  56  66  69  72  85  86  90  96 108]\n",
      "image # 4933, layer # layer2.0.relu has outliers [  0   6   7  18  20  25  35  44  50  59  66  72  74  80  86  97 115]\n",
      "image # 5018, layer # layer2.0.relu has outliers [  0   7  12  35  50  59  66  74  98 110 121]\n",
      "image # 5049, layer # layer2.0.relu has outliers [  7  20  25  27  34  35  44  45  50  59  66  69  72  75  86  96  97 105\n",
      " 115 126]\n",
      "image # 5193, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  40  44  50  51  59  66  72  75  84  86  89  96\n",
      "  97 103 107 115 126]\n",
      "image # 5244, layer # layer2.0.relu has outliers [  7  20  25  27  34  35  44  50  59  64  65  69  72  75  86  96  97  98\n",
      " 115]\n",
      "image # 5434, layer # layer2.0.relu has outliers [ 0  7 20 25 35 44 45 50 60 66 69 72 75 85 86 96]\n",
      "image # 5518, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  65  66  69  72  86  89  97 104 109 115]\n",
      "image # 5533, layer # layer2.0.relu has outliers [  1   7  18  20  35  44  59  66  74  75  76  78  80  85  90  96  98 105\n",
      " 114 121]\n",
      "image # 5576, layer # layer2.0.relu has outliers [ 0  7 20 27 34 35 42 44 50 59 65 66 69 72 75 85 86 96 97 98]\n",
      "image # 5611, layer # layer2.0.relu has outliers [  0   5   7  12  20  31  34  35  44  46  50  51  56  59  65  66  72  84\n",
      "  89  96  97 115]\n",
      "image # 5633, layer # layer2.0.relu has outliers [  0   7  18  20  35  44  45  50  59  65  66  69  72  80  84  86  89  96\n",
      "  97 105 115]\n",
      "image # 5727, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  60  66  72  75  84  86  96  97 115\n",
      " 126]\n",
      "image # 5805, layer # layer2.0.relu has outliers [  0   5   7  20  27  35  44  49  50  65  66  69  72  85  86  96  97 115]\n",
      "image # 5820, layer # layer2.0.relu has outliers [  0   7  20  44  45  50  60  64  72  86  96  97 115]\n",
      "image # 5902, layer # layer2.0.relu has outliers [  0   7  20  35  44  45  50  59  60  66  86  96 115]\n",
      "image # 5988, layer # layer2.0.relu has outliers [  0   7  20  21  35  40  44  50  59  66  72  74  85  86  89  96 103 115\n",
      " 126]\n",
      "image # 6046, layer # layer2.0.relu has outliers [  0   7  12  20  31  35  44  45  50  59  60  66  72  74  86  96  97 108\n",
      " 115]\n",
      "image # 6114, layer # layer2.0.relu has outliers [  1  18  20  35  44  50  66  74  76  78  85  86  90  97 115]\n",
      "image # 6237, layer # layer2.0.relu has outliers [  7  15  20  27  34  35  44  50  56  69  74  80  85  86  96  97  98 105\n",
      " 115 126]\n",
      "image # 6249, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  46  50  59  64  65  69  72  75  84  86  96\n",
      "  97 105 113 115]\n",
      "image # 6285, layer # layer2.0.relu has outliers [  0   7  20  25  27  34  35  44  50  56  69  74  80  85  86  96  97  98\n",
      " 103 107 115]\n",
      "image # 6346, layer # layer2.0.relu has outliers [  7  20  35  40  44  51  59  66  89  96 105 109 126]\n",
      "image # 6426, layer # layer2.0.relu has outliers [  0   7  20  25  27  35  44  50  59  66  72  74  75  80  85  86  90  96\n",
      "  98 115 126]\n",
      "image # 6436, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  66  69  74  84  85  86  89  96  97 115\n",
      " 126]\n",
      "image # 6499, layer # layer2.0.relu has outliers [  0   7  20  25  27  35  44  50  59  65  66  72  75  80  86  89  96 115\n",
      " 126]\n",
      "image # 6513, layer # layer2.0.relu has outliers [  0   7  20  35  44  50  59  64  66  80  86  89  97 105 109 113 115]\n",
      "image # 6614, layer # layer2.0.relu has outliers [  0  20  21  23  27  35  44  50  59  65  66  72  74  96  97 103 106 114\n",
      " 115 126]\n",
      "image # 6747, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  72  75  80  86  96  97  98 115]\n",
      "image # 6824, layer # layer2.0.relu has outliers [  0   7  20  27  35  42  44  59  65  66  72  75  86  96 126]\n",
      "image # 6908, layer # layer2.0.relu has outliers [  7  17  20  23  29  35  44  45  50  66  72  86  97 108 115 126]\n",
      "image # 6931, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  44  50  59  64  65  66  69  72  74  80  85  86\n",
      "  96  97 105 113 115]\n",
      "image # 6972, layer # layer2.0.relu has outliers [  7  20  27  34  35  42  44  56  63  65  66  69  74  85  90  96 126]\n",
      "image # 6974, layer # layer2.0.relu has outliers [  0  18  20  21  35  44  50  51  59  65  66  69  86  89 103 104 109 115\n",
      " 126]\n",
      "image # 7114, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  51  59  65  66  72  75  84  86  96\n",
      "  97 107 115 126]\n",
      "image # 7232, layer # layer2.0.relu has outliers [  7  44  45  50  59  60  64  72  86  98 115]\n",
      "image # 7243, layer # layer2.0.relu has outliers [  0   7  20  25  34  35  44  50  59  66  69  72  74  75  80  85  86  96\n",
      "  97 115 126]\n",
      "image # 7310, layer # layer2.0.relu has outliers [  0   7  20  25  35  40  44  51  69  80  84  86  89  97 103 105 107 109\n",
      " 115]\n",
      "image # 7357, layer # layer2.0.relu has outliers [ 7 20 35 44 45 50 60 66 72 86 96 97]\n",
      "image # 7370, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  44  45  59  66  69  74  80  85  86  96 114 115]\n",
      "image # 7385, layer # layer2.0.relu has outliers [  0   7  18  20  25  35  44  50  65  72  80  86  96  97 105 107 115]\n",
      "image # 7416, layer # layer2.0.relu has outliers [  0   7  20  34  35  44  46  50  59  65  66  72  74  80  85  89  96 105\n",
      " 115 126]\n",
      "image # 7494, layer # layer2.0.relu has outliers [  0   7  20  23  35  40  44  50  56  66  69  72  74  86  89  96  97 115]\n",
      "image # 7504, layer # layer2.0.relu has outliers [  0   7  20  35  44  45  50  59  64  66  72  85  86  96  97  98 115 126]\n",
      "image # 7515, layer # layer2.0.relu has outliers [  0   7  18  20  25  34  35  40  44  50  59  66  69  72  80  84  85  86\n",
      "  89  96  97 115]\n",
      "image # 7659, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  38  44  50  64  66  72  75  84  86  96  97 105\n",
      " 109 115]\n",
      "image # 7725, layer # layer2.0.relu has outliers [  0   7  18  20  25  35  44  45  50  51  60  72  80  86  97 108 115]\n",
      "image # 7781, layer # layer2.0.relu has outliers [66 87]\n",
      "image # 7828, layer # layer2.0.relu has outliers [  7  20  27  34  35  44  45  60  66  69  86  89  96 105 109]\n",
      "image # 7915, layer # layer2.0.relu has outliers [  0   7  20  25  27  34  35  44  50  59  69  72  74  75  80  85  86  96\n",
      "  97  98 115]\n",
      "image # 7933, layer # layer2.0.relu has outliers [  0   7  17  20  25  35  44  50  64  65  66  72  84  86  97 105 115]\n",
      "image # 7969, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  50  51  59  65  66  72  84  86  89  96  97\n",
      " 103 115]\n",
      "image # 8081, layer # layer2.0.relu has outliers [  0   7  20  35  44  45  50  51  59  64  65  72  86 109 115]\n",
      "image # 8135, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  65  66  69  80  85  86  89  96  97 115]\n",
      "image # 8138, layer # layer2.0.relu has outliers [  7  20  44  45  50  60  72  86 115]\n",
      "image # 8161, layer # layer2.0.relu has outliers [  0   7  20  35  44  45  50  59  60  65  66  74  80  85  86  96  97 103\n",
      " 115 126]\n",
      "image # 8174, layer # layer2.0.relu has outliers [  7  20  23  27  35  42  44  50  66  69  74  75  80  85  96  97 103 105\n",
      " 110 113 114 115 126]\n",
      "image # 8253, layer # layer2.0.relu has outliers [  1   7  20  27  35  44  49  50  59  66  74  76  78  86  96  98 113 126]\n",
      "image # 8273, layer # layer2.0.relu has outliers [  7  20  35  40  44  45  50  59  60  66  72  86  97 115]\n",
      "image # 8342, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  44  50  59  65  66  69  72  80  84  85  89  96\n",
      " 115]\n",
      "image # 8353, layer # layer2.0.relu has outliers [  0   7  20  34  44  45  60  66  69  72  96 115]\n",
      "image # 8358, layer # layer2.0.relu has outliers [  0   5   7  20  25  34  35  44  46  50  66  72  75  80  84  85  86  96\n",
      "  97  98 115 126]\n",
      "image # 8372, layer # layer2.0.relu has outliers [  0   7  20  27  35  44  45  50  60  66  69  74  85  96 103 115]\n",
      "image # 8535, layer # layer2.0.relu has outliers [  7  20  23  29  31  35  44  50  66  69  72 108]\n",
      "image # 8544, layer # layer2.0.relu has outliers [  0   7  20  44  45  50  64  65  66  69  86  97 109 115]\n",
      "image # 8612, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  46  50  66  69  72  75  80  84  86  96  97\n",
      " 115]\n",
      "image # 8717, layer # layer2.0.relu has outliers [  0   1   7  18  20  25  35  44  50  72  80  86  97 113 115]\n",
      "image # 8755, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  50  59  60  66  85  86  89  97 115]\n",
      "image # 8800, layer # layer2.0.relu has outliers [  0   7  20  27  35  44  49  56  59  65  66  69  74  85  86  89  90 103\n",
      " 115 126]\n",
      "image # 8909, layer # layer2.0.relu has outliers [  0   5   7  18  20  25  35  44  50  59  66  72  74  80  84  85  86  97\n",
      " 115]\n",
      "image # 8923, layer # layer2.0.relu has outliers [  1   7  18  20  34  35  44  50  74  78  80  85  86  90  98 107 115]\n",
      "image # 8930, layer # layer2.0.relu has outliers [  0   7  20  25  34  35  44  50  59  65  66  72  74  75  80  85  86  89\n",
      "  96  97  98 107 115]\n",
      "image # 8933, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  45  50  59  60  66  69  72  75  80  86  96  97\n",
      " 115 126]\n",
      "image # 8996, layer # layer2.0.relu has outliers [  0   7  15  18  35  50  59  66  72  74  85  86  97  98 107 115 121]\n",
      "image # 9047, layer # layer2.0.relu has outliers [  7  20  35  44  50  59  66 109 115]\n",
      "image # 9111, layer # layer2.0.relu has outliers [  0   7  20  23  34  35  44  50  56  59  66  69  80  85  89  96  97 109\n",
      " 114 115]\n",
      "image # 9208, layer # layer2.0.relu has outliers [  0  20  45  50  59  60  66  86  97 104 115]\n",
      "image # 9320, layer # layer2.0.relu has outliers [  7  20  29  35  44  45  50  59  60  66  72  75  85  86  96  97  98 115\n",
      " 126]\n",
      "image # 9333, layer # layer2.0.relu has outliers [  0   7  18  20  25  35  44  50  66  69  72  74  75  80  84  85  86  96\n",
      "  97  98 115]\n",
      "image # 9585, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  59  64  72  75  86  96  97  98 115]\n",
      "image # 9597, layer # layer2.0.relu has outliers [  5   7  20  25  34  35  40  44  45  50  51  59  66  69  84  86  89  97\n",
      " 109 115]\n",
      "image # 9598, layer # layer2.0.relu has outliers [ 0  7 20 45 50 59 60 64 66]\n",
      "image # 9611, layer # layer2.0.relu has outliers [  0   7  20  25  27  35  44  50  59  66  72  74  75  85  86  96  97  98\n",
      " 115 126]\n",
      "image # 9655, layer # layer2.0.relu has outliers [  0   7  20  34  35  44  50  59  66  72  85  86 115]\n",
      "image # 9716, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  44  50  59  66  72  75  85  86  96  97  98 115]\n",
      "image # 9807, layer # layer2.0.relu has outliers [  0   7  20  44  45  50  59  60  64  66  86 115]\n",
      "image # 9854, layer # layer2.0.relu has outliers [  0  20  25  44  50  65  66  72  80  84  86 115]\n",
      "image # 9870, layer # layer2.0.relu has outliers [  0   7  20  25  31  35  44  50  51  59  64  65  80  84  86  89  97 105\n",
      " 109 113 115]\n",
      "image # 9914, layer # layer2.0.relu has outliers [  0   7  20  21  25  31  35  44  50  56  66  69  74  80  85  86  96  97\n",
      " 114 115 126]\n",
      "image # 9937, layer # layer2.0.relu has outliers [  0   5   7  20  25  44  50  72  75  80  86  96 115]\n",
      "image # 10055, layer # layer2.0.relu has outliers [  0   7  20  21  27  34  35  44  50  59  66  69  74  75  80  85  86  96\n",
      "  97 115 126]\n",
      "image # 10087, layer # layer2.0.relu has outliers [  0   7  20  25  27  35  38  44  45  64  66  69  72  75  86  96 105]\n",
      "image # 10129, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  46  50  60  66  69  72  86  96  97 115]\n",
      "image # 10156, layer # layer2.0.relu has outliers [  7  20  34  35  44  50  65  69  97 105 109 115]\n",
      "image # 10193, layer # layer2.0.relu has outliers [ 7 20 35 39 44 45 50 59 60 66 86 97]\n",
      "image # 10209, layer # layer2.0.relu has outliers [  0   5   7  18  20  34  35  44  46  50  59  60  66  72  75  86  96  97\n",
      "  98 115]\n",
      "image # 10225, layer # layer2.0.relu has outliers [  0   7  20  31  34  35  44  50  59  65  66  69  72  80  85  86  89  96\n",
      "  97  98 115]\n",
      "image # 10251, layer # layer2.0.relu has outliers [  0   7  20  35  44  45  50  59  60  66  72  86  97 115]\n",
      "image # 10259, layer # layer2.0.relu has outliers [  0   7  18  20  25  34  35  44  50  59  66  69  74  80  85  86  96  97\n",
      " 115]\n",
      "image # 10263, layer # layer2.0.relu has outliers [  0   7  20  25  35  38  44  50  59  64  65  72  84  86  97 105 109 113\n",
      " 115]\n",
      "image # 10269, layer # layer2.0.relu has outliers [  0   7  35  44  50  59  65  66  69  74  80  85  86  89  96  97 103 115]\n",
      "image # 10273, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  45  50  59  64  65  66  72  84  86  96  97\n",
      " 105 115]\n",
      "image # 10297, layer # layer2.0.relu has outliers [ 7 20 27 35 44 59 66 72]\n",
      "image # 10343, layer # layer2.0.relu has outliers [  0   7  20  25  27  35  44  45  50  60  66  69  72  75  86  96 108 115\n",
      " 126]\n",
      "image # 10377, layer # layer2.0.relu has outliers [  7  20  23  27  34  35  44  46  56  59  65  66  72  74  80  85  86  90\n",
      "  96 114 126]\n",
      "image # 10385, layer # layer2.0.relu has outliers [  7  19  20  39  45  59  60  66  86  87 108]\n",
      "image # 10398, layer # layer2.0.relu has outliers [  7  20  34  35  44  50  66  69  74  80  85  89  97 105 107 109 115]\n",
      "image # 10418, layer # layer2.0.relu has outliers [  7  20  27  34  35  44  50  56  66  69  74  85  86  90  96  97 110 115\n",
      " 126]\n",
      "image # 10513, layer # layer2.0.relu has outliers [20 45 50 59 60 66 86 97]\n",
      "image # 10524, layer # layer2.0.relu has outliers [  1   7  18  20  35  44  50  59  66  72  78  80  85  86  97 115]\n",
      "image # 10705, layer # layer2.0.relu has outliers [  7  20  25  34  35  44  45  50  60  66  69  74  85  86  96  98 115 126]\n",
      "image # 10817, layer # layer2.0.relu has outliers [  0   7  20  25  35  44  51  59  65  66  72  75  84  86  96  97 103 115]\n",
      "image # 10818, layer # layer2.0.relu has outliers [  0   5   7  20  25  35  44  50  59  64  66  69  72  80  84  85  86  96\n",
      "  97 105 115]\n",
      "image # 10821, layer # layer2.0.relu has outliers [  0   7  20  27  34  35  44  59  66  69  74  85  86  96  98 110 126]\n",
      "image # 10866, layer # layer2.0.relu has outliers [  0   7  20  21  25  35  44  50  51  59  65  66  72  75  84  86  88  96\n",
      "  97 103 115 126]\n",
      "image # 10946, layer # layer2.0.relu has outliers [  0   7  20  35  44  46  49  50  59  65  66  69  74  86  96  97 115 126]\n",
      "layer layer2.1.relu\n",
      "image # 130, layer # layer2.1.relu has outliers [ 17  19  20  25  27  34  50  59  60  75  80  85  86  89  93  96  97  98\n",
      " 104 105 106 108 109 110 114 115]\n",
      "image # 135, layer # layer2.1.relu has outliers [  0   7  20  27  29  38  45  49  50  58  59  60  63  70  75  86  88  96\n",
      "  97 104 105 106 110 115]\n",
      "image # 250, layer # layer2.1.relu has outliers [  0   5  14  17  19  20  25  29  50  58  60  75  80  85  86  96  97  98\n",
      " 105 106 107 113 115]\n",
      "image # 383, layer # layer2.1.relu has outliers [  0   1   5  16  19  20  25  50  58  59  75  85  86  88  93  96  97  98\n",
      " 105 115]\n",
      "image # 399, layer # layer2.1.relu has outliers [  0   7  12  17  19  20  25  29  31  37  45  49  50  51  58  59  60  75\n",
      "  85  86  89  93  96  97 104 105 108 109 115]\n",
      "image # 519, layer # layer2.1.relu has outliers [  0   5   7  12  14  15  16  20  25  29  38  49  50  51  58  75  80  86\n",
      "  89  93  97 104 105 109 114 115]\n",
      "image # 540, layer # layer2.1.relu has outliers [ 15  16  19  20  25  27  34  45  50  58  59  60  75  80  85  86  88  89\n",
      "  93  97  98 105 107 110 115 121]\n",
      "image # 551, layer # layer2.1.relu has outliers [  0   7  17  20  25  29  34  45  50  53  65  75  85  86  89  93  96  97\n",
      " 104 105 108 109 110 114 115]\n",
      "image # 579, layer # layer2.1.relu has outliers [  0   5  17  19  20  25  27  29  31  45  50  58  59  75  80  86  93  96\n",
      "  97  98 105 108 115]\n",
      "image # 739, layer # layer2.1.relu has outliers [  0  12  17  19  20  25  27  29  51  60  64  75  85  86  88  93  96  97\n",
      "  98 104 105 106 107 113 115]\n",
      "image # 751, layer # layer2.1.relu has outliers [  0   7  12  17  19  20  25  38  49  50  75  89  93  96  97 104 105 108\n",
      " 109 115]\n",
      "image # 818, layer # layer2.1.relu has outliers [ 17  18  19  20  25  27  29  45  58  59  60  75  80  85  86  89  93  96\n",
      "  97  98 105 106 108 110 115]\n",
      "image # 821, layer # layer2.1.relu has outliers [  0   7  12  14  17  20  25  27  29  45  49  50  58  70  75  80  85  86\n",
      "  88  93  96  97  98 105 106 107 108 115]\n",
      "image # 878, layer # layer2.1.relu has outliers [  5  19  20  25  29  45  50  59  60  75  80  85  86  93  96  97 104 105\n",
      " 106 107 108 114 115]\n",
      "image # 907, layer # layer2.1.relu has outliers [  1   5  18  20  25  29  34  49  50  58  64  75  80  85  86  93  97  98\n",
      " 105 106 108 113 114 115]\n",
      "image # 1042, layer # layer2.1.relu has outliers [  0   1   2   5   7  12  17  20  25  27  29  50  63  75  80  85  93  96\n",
      "  97 104 105 108 110 115]\n",
      "image # 1134, layer # layer2.1.relu has outliers [  5   7  15  19  20  25  29  34  45  50  60  64  75  80  86  89  93  96\n",
      "  97 104 105 108 115]\n",
      "image # 1195, layer # layer2.1.relu has outliers [  7  12  17  19  20  25  27  29  45  50  59  60  75  84  85  86  88  89\n",
      "  93  97  98 105 107 108 109 115]\n",
      "image # 1207, layer # layer2.1.relu has outliers [ 15  19  20  25  27  29  31  34  50  58  59  75  80  85  86  93  96  97\n",
      "  98 105 106 107 108 110 114 121]\n",
      "image # 1250, layer # layer2.1.relu has outliers [ 15  18  20  25  27  29  34  45  49  50  58  75  80  85  86  93  97  98\n",
      " 105 108 109 114 115 121]\n",
      "image # 1285, layer # layer2.1.relu has outliers [ 17  19  20  25  27  29  34  49  59  60  68  75  85  86  93  96  97  98\n",
      " 105 106 107 110 115]\n",
      "image # 1296, layer # layer2.1.relu has outliers [  1  16  18  20  25  34  49  50  59  75  80  85  86  89  93  96  97 105\n",
      " 114 115]\n",
      "image # 1382, layer # layer2.1.relu has outliers [  0   7  15  20  25  27  29  34  37  50  65  75  80  85  86  93  96  97\n",
      "  98 105 107 108 110 115]\n",
      "image # 1392, layer # layer2.1.relu has outliers [  5  15  17  19  20  25  27  29  45  49  50  58  59  60  70  75  85  86\n",
      "  88  93  96  97  98 105 106 107 108 115]\n",
      "image # 1451, layer # layer2.1.relu has outliers [  7  12  14  18  19  20  25  29  38  50  51  58  60  64  75  80  88  89\n",
      "  97  98 104 105 106 109 113 114 115]\n",
      "image # 1457, layer # layer2.1.relu has outliers [  0  17  20  25  27  34  50  58  70  75  80  85  86  93  96  97  98 105\n",
      " 106 108 110 114 115]\n",
      "image # 1520, layer # layer2.1.relu has outliers [  0  16  17  19  20  25  27  29  34  45  50  59  60  75  86  93  96  97\n",
      "  98 105 106 110 114 115]\n",
      "image # 1545, layer # layer2.1.relu has outliers [  0   7  12  15  17  19  20  25  29  34  50  60  75  80  85  89  93  96\n",
      "  97 104 105 109 114 115]\n",
      "image # 1724, layer # layer2.1.relu has outliers [  1  16  17  18  19  20  25  50  58  64  75  86  93  96  97  98 105 106\n",
      " 109 113 114 115]\n",
      "image # 1777, layer # layer2.1.relu has outliers [ 16  17  20  25  27  29  45  49  50  58  59  70  75  85  86  93  96  97\n",
      "  98 105 106 108 110 114 115]\n",
      "image # 1846, layer # layer2.1.relu has outliers [  1   7  16  20  27  34  49  50  59  75  80  85  86  93  96  97  98 105\n",
      " 106 110 113 114 115 121]\n",
      "image # 1864, layer # layer2.1.relu has outliers [  5   7  12  15  16  19  20  25  29  45  50  58  60  64  75  80  86  88\n",
      "  89  93  96  97  98 104 105 107 108 109 115]\n",
      "image # 1912, layer # layer2.1.relu has outliers [  5   7  12  15  16  19  25  27  34  45  58  59  60  64  75  86  93  96\n",
      "  97  98 105 110 113 115 121]\n",
      "image # 1969, layer # layer2.1.relu has outliers [  0   1   5  12  20  25  29  34  49  50  58  75  80  84  85  86  93  96\n",
      "  97  98 105 106 109 114 115]\n",
      "image # 1970, layer # layer2.1.relu has outliers [  1   7  15  16  17  18  20  27  34  58  59  75  80  85  86  89  93  96\n",
      "  97  98 105 110 114 115]\n",
      "image # 2006, layer # layer2.1.relu has outliers [  0   5  12  19  20  25  27  29  45  50  58  59  60  75  80  85  86  93\n",
      "  96  97 105 108 115]\n",
      "image # 2025, layer # layer2.1.relu has outliers [  0   1   7  15  17  18  20  25  34  49  50  59  75  80  86  89  93  96\n",
      "  97 104 105 114 115]\n",
      "image # 2117, layer # layer2.1.relu has outliers [  0   2   5   7  12  14  17  19  20  25  38  49  50  51  58  75  80  89\n",
      "  93  96  97 104 105 107 108 115]\n",
      "image # 2269, layer # layer2.1.relu has outliers [  0   5   7  16  18  20  25  34  38  45  49  50  53  58  60  75  80  85\n",
      "  86  93  96  97 105 109 115]\n",
      "image # 2421, layer # layer2.1.relu has outliers [  0   2   5   7  12  14  17  19  20  25  29  37  49  50  51  60  75  80\n",
      "  86  89  93  96  97 104 105 107 109 115]\n",
      "image # 2524, layer # layer2.1.relu has outliers [  0   7  12  14  17  19  20  25  29  38  45  49  50  51  58  60  75  80\n",
      "  86  89  96  97 104 105 108 109 115]\n",
      "image # 2530, layer # layer2.1.relu has outliers [  0   7  19  20  25  27  29  50  58  60  75  80  86  96  97  98 104 105\n",
      " 106 108 114 115]\n",
      "image # 2565, layer # layer2.1.relu has outliers [  0   5   7  12  15  16  17  20  25  27  29  49  50  58  70  75  80  85\n",
      "  86  93  96  97  98 105 106 107 115 121]\n",
      "image # 2635, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  27  29  45  50  51  59  60  65  75  86\n",
      "  89  96  97  98 104 105 108 115]\n",
      "image # 2638, layer # layer2.1.relu has outliers [  7  19  20  25  27  29  34  50  59  75  80  85  86  93  96  97 105 106\n",
      " 110 114 115]\n",
      "image # 2727, layer # layer2.1.relu has outliers [  0  16  17  20  25  27  29  45  50  59  60  75  85  86  93  96  97  98\n",
      " 105 110 113 115]\n",
      "image # 2817, layer # layer2.1.relu has outliers [  0   2   5  20  25  29  38  49  50  58  59  70  75  80  86  96  97  98\n",
      " 104 105 106 115]\n",
      "image # 2937, layer # layer2.1.relu has outliers [  0   5   7  19  20  25  29  50  58  60  64  75  80  86  89  93  96  97\n",
      "  98 105 106 107 113 114 115]\n",
      "image # 2942, layer # layer2.1.relu has outliers [ 12  13  20  25  27  45  49  50  53  58  59  60  64  68  86  96  97 105\n",
      " 106 115]\n",
      "image # 2962, layer # layer2.1.relu has outliers [  5   7  18  19  20  25  29  31  34  45  50  60  75  80  86  89  93  97\n",
      " 104 105 108 115]\n",
      "image # 3065, layer # layer2.1.relu has outliers [  0   1  18  20  29  49  50  58  59  75  85  86  89  93  96  97  98 105\n",
      " 114 115 121]\n",
      "image # 3147, layer # layer2.1.relu has outliers [  1  15  16  17  18  20  27  34  49  50  52  58  59  80  85  86  93  96\n",
      "  98 105 110 114 115]\n",
      "image # 3287, layer # layer2.1.relu has outliers [  7  12  17  19  20  25  29  31  45  49  50  60  80  86  89  93  97 105\n",
      " 107 108 109 115]\n",
      "image # 3395, layer # layer2.1.relu has outliers [  0   7  15  19  25  27  29  34  50  58  60  75  85  86  89  93  96  97\n",
      "  98 105 107 108 115 121]\n",
      "image # 3643, layer # layer2.1.relu has outliers [  0   5   7  12  15  19  25  27  29  34  50  58  59  75  80  86  89  93\n",
      "  96  97  98 105 108 109 115 121]\n",
      "image # 3811, layer # layer2.1.relu has outliers [  0   1   7  12  19  20  25  29  38  49  50  58  75  80  89  93  96  97\n",
      " 104 105 109 115]\n",
      "image # 3846, layer # layer2.1.relu has outliers [  0   7  12  14  15  17  19  20  25  29  49  50  51  58  59  75  80  86\n",
      "  88  89  93  97 104 105 107 109 114 115]\n",
      "image # 3930, layer # layer2.1.relu has outliers [ 19  20  25  27  29  45  50  59  75  85  86  89  93  96  97  98 105 106\n",
      " 108 109 113 115]\n",
      "image # 3953, layer # layer2.1.relu has outliers [  0   2   5   7  12  17  19  20  25  27  29  34  38  45  58  60  64  65\n",
      "  75  80  86  93  96  97  98 104 105 107 108 110 115]\n",
      "image # 4002, layer # layer2.1.relu has outliers [ 17  19  20  25  27  29  31  34  45  50  59  75  80  85  86  93  96  97\n",
      " 104 105 108 110 115]\n",
      "image # 4014, layer # layer2.1.relu has outliers [  1  18  20  31  49  50  59  75  86  96  98 105 113]\n",
      "image # 4064, layer # layer2.1.relu has outliers [  0   7  12  20  25  27  29  49  50  75  85  86  88  89  93  96  97  98\n",
      " 105 108 114 115]\n",
      "image # 4078, layer # layer2.1.relu has outliers [  5   7  15  19  20  25  29  34  45  50  59  60  75  80  86  89  93  96\n",
      "  97  98 104 105 108 110 115]\n",
      "image # 4100, layer # layer2.1.relu has outliers [  0   7  12  17  19  20  25  27  29  31  45  49  50  59  60  75  80  85\n",
      "  86  89  93  96  97  98 105 108 115]\n",
      "image # 4115, layer # layer2.1.relu has outliers [  0   1   5   7  12  17  18  19  20  25  29  38  50  59  75  86  89  93\n",
      "  96  97 104 105 106 109 114 115]\n",
      "image # 4256, layer # layer2.1.relu has outliers [ 12  17  19  20  25  29  34  38  45  49  50  60  65  75  85  86  88  93\n",
      "  97 104 105 107 110 115]\n",
      "image # 4317, layer # layer2.1.relu has outliers [  0   1   2   7  12  17  20  25  27  29  49  50  75  85  86  89  93  96\n",
      "  97  98 104 105 106 109 113 115]\n",
      "image # 4342, layer # layer2.1.relu has outliers [  7  15  19  25  27  34  49  50  58  75  80  85  86  89  93  96  97  98\n",
      " 105 106 107 110 115 121]\n",
      "image # 4374, layer # layer2.1.relu has outliers [  0   5   7  19  20  25  27  29  34  49  50  59  60  75  80  86  96  97\n",
      "  98 105 107 108 110 115]\n",
      "image # 4388, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  29  45  50  51  60  75  80  89  93  96\n",
      "  97 104 105 109 114 115]\n",
      "image # 4392, layer # layer2.1.relu has outliers [  7  19  20  25  34  45  50  58  60  75  80  85  86  88  89  93  96  97\n",
      "  98 105 106 108 109 114 115]\n",
      "image # 4452, layer # layer2.1.relu has outliers [  0   2   5   7  12  17  18  19  20  25  29  37  38  49  50  60  75  84\n",
      "  89  93  96  97 104 105 108 109 114 115]\n",
      "image # 4484, layer # layer2.1.relu has outliers [  0   5  14  17  20  25  29  50  58  59  70  75  84  85  86  88  93  96\n",
      "  97  98 105 106 107 115]\n",
      "image # 4509, layer # layer2.1.relu has outliers [  0   1   2   5   7  14  18  20  25  29  37  38  49  50  59  75  86  93\n",
      "  96  97  98 105 106 110 115]\n",
      "image # 4564, layer # layer2.1.relu has outliers [  1   7  15  25  27  29  31  34  52  75  80  85  86  89  93  96  97  98\n",
      " 105 106 107 110 114 115 121]\n",
      "image # 4804, layer # layer2.1.relu has outliers [  0   5   7  12  14  16  17  20  25  37  45  49  50  58  64  65  86  88\n",
      "  89  93  96  97  98 104 105 107 108 115]\n",
      "image # 4833, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  29  31  34  49  50  75  80  85  86  89\n",
      "  93  96  97  98 105 108 115]\n",
      "image # 4896, layer # layer2.1.relu has outliers [  0   5   7  12  20  25  27  29  31  34  38  45  49  58  60  75  80  84\n",
      "  85  86  93  96  97  98 105 108 110 115]\n",
      "image # 4933, layer # layer2.1.relu has outliers [  0   1   6   7  12  14  18  19  20  25  29  49  50  58  75  80  86  88\n",
      "  93  97  98 104 105 106 115 121]\n",
      "image # 5018, layer # layer2.1.relu has outliers [  0   7  12  15  19  25  29  31  38  49  50  58  65  80  85  86  89  96\n",
      "  97 105 109 110 114 115 121]\n",
      "image # 5049, layer # layer2.1.relu has outliers [  7  19  20  25  27  45  50  59  60  75  80  85  86  93  96  97  98 105\n",
      " 107 108 109 115]\n",
      "image # 5193, layer # layer2.1.relu has outliers [  0   5   7  12  14  19  20  25  29  31  37  49  50  51  70  75  84  88\n",
      "  89  93  96  97 104 105 107 109 114 115]\n",
      "image # 5244, layer # layer2.1.relu has outliers [  5   7  12  17  19  20  25  27  29  34  45  49  50  58  59  64  75  80\n",
      "  86  93  96  97  98 104 105 108 110 115]\n",
      "image # 5434, layer # layer2.1.relu has outliers [  0   2  17  19  20  25  27  29  45  50  58  60  75  80  86  96  97 104\n",
      " 105 108 109 115]\n",
      "image # 5518, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  29  38  45  50  60  65  75  85  89  96\n",
      "  97 104 105 108 109 115]\n",
      "image # 5533, layer # layer2.1.relu has outliers [  1   7  15  16  18  20  25  27  49  59  75  80  85  86  93  96  98 105\n",
      " 113 115 121]\n",
      "image # 5576, layer # layer2.1.relu has outliers [  0  17  19  20  25  27  29  34  45  50  58  59  60  70  75  85  86  93\n",
      "  96  97  98 105 106 108 110 114 115]\n",
      "image # 5611, layer # layer2.1.relu has outliers [  0   5   7  12  15  17  19  20  25  29  31  34  49  50  59  75  80  89\n",
      "  93  96  97 104 105 109 114 115]\n",
      "image # 5633, layer # layer2.1.relu has outliers [  0   7  18  19  20  25  38  50  58  59  75  80  89  93  96  97 104 105\n",
      " 108 109 115]\n",
      "image # 5727, layer # layer2.1.relu has outliers [  5   7  17  19  20  25  27  29  45  50  60  75  80  86  88  93  96  97\n",
      "  98 105 106 115]\n",
      "image # 5805, layer # layer2.1.relu has outliers [  0   5   7  12  20  25  27  29  49  50  58  75  80  84  85  86  93  96\n",
      "  97  98 105 106 108 114 115]\n",
      "image # 5820, layer # layer2.1.relu has outliers [  0   5   7  12  14  19  20  25  27  45  50  58  60  64  75  86  88  96\n",
      "  97  98 104 105 106 115]\n",
      "image # 5902, layer # layer2.1.relu has outliers [  5   7  15  17  19  20  25  27  29  45  49  50  59  60  75  80  86  88\n",
      "  93  96  97  98 104 105 108 115]\n",
      "image # 5988, layer # layer2.1.relu has outliers [  0   7  19  20  25  27  29  34  49  50  75  84  85  89  93  96  97  98\n",
      " 105 106 108 109 115]\n",
      "image # 6046, layer # layer2.1.relu has outliers [  0   7  12  15  19  20  25  27  29  31  45  49  50  58  59  60  75  86\n",
      "  93  96  97 105 108 115 121]\n",
      "image # 6114, layer # layer2.1.relu has outliers [  1  16  17  18  20  49  50  58  59  75  86  93  97 105 106 114 115]\n",
      "image # 6237, layer # layer2.1.relu has outliers [  1   7  15  20  25  27  29  34  38  50  59  75  80  85  86  89  93  96\n",
      "  97  98 105 107 110 115]\n",
      "image # 6249, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  27  29  50  59  75  80  89  93  96  97\n",
      "  98 104 105 113 115]\n",
      "image # 6285, layer # layer2.1.relu has outliers [  0   1   7  12  14  19  20  25  27  29  34  37  38  49  50  58  75  80\n",
      "  85  86  89  93  96  97  98 105 107 109 110 115 121]\n",
      "image # 6346, layer # layer2.1.relu has outliers [  7  15  19  20  27  33  34  38  49  51  64  75  89  93  96  97  98 104\n",
      " 105 107 109 110 114 115]\n",
      "image # 6426, layer # layer2.1.relu has outliers [  0   1   5  18  19  20  25  27  29  50  58  59  70  75  80  85  86  88\n",
      "  93  96  97  98 105 106 115 121]\n",
      "image # 6436, layer # layer2.1.relu has outliers [  0   7  12  15  17  19  20  25  29  31  38  49  50  58  60  75  80  86\n",
      "  89  93  97 104 105 108 109 115]\n",
      "image # 6499, layer # layer2.1.relu has outliers [  0   7  12  15  17  19  20  25  27  29  49  50  51  58  75  80  85  89\n",
      "  93  96  97  98 104 105 107 115]\n",
      "image # 6513, layer # layer2.1.relu has outliers [ 17  18  20  25  27  29  50  59  64  75  80  85  89  93  96  97  98 104\n",
      " 105 106 108 109 113 114 115]\n",
      "image # 6614, layer # layer2.1.relu has outliers [  0   5  17  20  25  27  29  50  58  59  60  65  70  75  85  86  93  96\n",
      "  97  98 104 105 106 110 114 115]\n",
      "image # 6747, layer # layer2.1.relu has outliers [  0   5   7  12  20  25  27  29  49  50  58  75  80  86  96  97  98 105\n",
      " 106 108 115]\n",
      "image # 6824, layer # layer2.1.relu has outliers [  0  16  17  20  25  27  29  49  58  59  63  70  75  80  86  93  96  98\n",
      " 105 106 108 110 113 114 115]\n",
      "image # 6908, layer # layer2.1.relu has outliers [  5  16  17  19  20  25  27  29  37  45  50  60  75  86  88  93  96  97\n",
      "  98 105 107 108 115]\n",
      "image # 6931, layer # layer2.1.relu has outliers [  0  16  19  20  25  27  34  38  45  50  58  59  64  75  80  85  86  93\n",
      "  96  97  98 105 108 109 110 113 115]\n",
      "image # 6972, layer # layer2.1.relu has outliers [  0  17  20  25  27  29  31  34  58  63  75  85  86  93  96  97  98 105\n",
      " 106 108 110 115]\n",
      "image # 6974, layer # layer2.1.relu has outliers [  0  17  18  20  25  37  38  50  51  58  59  60  65  75  85  86  89  93\n",
      "  96  97 104 105 106 109 114 115]\n",
      "image # 7114, layer # layer2.1.relu has outliers [  5   7  14  15  17  19  20  25  29  45  49  50  51  58  60  75  86  88\n",
      "  89  93  97  98 104 105 107 108 115]\n",
      "image # 7232, layer # layer2.1.relu has outliers [  0   5   7  12  15  16  19  25  45  49  50  58  60  64  75  86  89  97\n",
      "  98 105 107 108 115 121]\n",
      "image # 7243, layer # layer2.1.relu has outliers [  0   7  19  20  25  29  31  34  45  50  59  75  80  85  86  93  96  97\n",
      "  98 104 105 108 115]\n",
      "image # 7310, layer # layer2.1.relu has outliers [  7  12  14  17  19  20  25  38  45  51  75  80  85  86  88  89  93  96\n",
      "  97 104 105 107 109 115]\n",
      "image # 7357, layer # layer2.1.relu has outliers [  5  16  20  25  27  45  49  50  51  58  60  64  70  75  86  88  93  96\n",
      "  97  98 105 106 107 115]\n",
      "image # 7370, layer # layer2.1.relu has outliers [  0  19  20  25  27  29  31  34  45  59  60  75  80  85  86  93  96  97\n",
      " 105 106 108 110 115]\n",
      "image # 7385, layer # layer2.1.relu has outliers [  0   1   5   7  14  18  19  25  50  58  60  75  80  86  88  93  96  97\n",
      "  98 105 107 108 115]\n",
      "image # 7416, layer # layer2.1.relu has outliers [  0   1   2   7  15  16  17  18  19  20  25  27  29  34  50  51  75  80\n",
      "  85  89  93  96  97  98 104 105 114 115]\n",
      "image # 7494, layer # layer2.1.relu has outliers [  0   7  15  19  20  25  27  29  31  34  45  49  50  59  60  75  86  89\n",
      "  93  96  97  98 105 108 110 114 115]\n",
      "image # 7504, layer # layer2.1.relu has outliers [  0   5  14  19  20  25  27  29  45  50  59  64  75  80  85  86  93  96\n",
      "  97  98 105 106 107 108 115]\n",
      "image # 7515, layer # layer2.1.relu has outliers [  1   7  12  17  18  20  25  29  34  38  49  50  59  75  80  84  85  89\n",
      "  93  96  97  98 104 105 109 115]\n",
      "image # 7659, layer # layer2.1.relu has outliers [  0   2   5   7  12  14  18  19  20  25  29  38  50  58  64  75  80  89\n",
      "  93  96  97  98 104 105 109 113 115]\n",
      "image # 7725, layer # layer2.1.relu has outliers [  7  12  14  15  18  19  20  25  29  45  50  51  58  60  75  80  86  88\n",
      "  89  93  97  98 104 105 108 109 115]\n",
      "image # 7781, layer # layer2.1.relu has outliers [  8  12  15  16  17  20  25  27  31  45  49  50  60  65  68  86  89  96\n",
      "  98 105 115]\n",
      "image # 7828, layer # layer2.1.relu has outliers [  7  15  17  19  20  25  27  29  34  37  45  59  60  75  86  89  93  96\n",
      "  98 105 109 110 115]\n",
      "image # 7915, layer # layer2.1.relu has outliers [  0   7  12  19  20  25  27  29  34  49  50  58  59  75  80  85  86  89\n",
      "  93  96  97  98 105 107 110 113 115 121]\n",
      "image # 7933, layer # layer2.1.relu has outliers [  0  12  17  20  25  27  29  49  50  64  70  75  85  86  96  97  98 104\n",
      " 105 107 109 115]\n",
      "image # 7969, layer # layer2.1.relu has outliers [  0   5   7  12  14  17  19  20  25  29  49  50  58  59  75  80  89  93\n",
      "  96  97 104 105 108 109 115]\n",
      "image # 8081, layer # layer2.1.relu has outliers [  0   7  19  20  25  27  29  45  50  59  64  75  80  86  89  93  96  97\n",
      "  98 104 105 106 109 113 114 115]\n",
      "image # 8135, layer # layer2.1.relu has outliers [  0   1   7  12  19  20  25  27  29  34  38  50  59  75  80  85  89  93\n",
      "  96  97 104 105 109 114 115]\n",
      "image # 8138, layer # layer2.1.relu has outliers [  0   7  12  14  16  19  20  25  27  45  49  50  58  60  64  75  86  88\n",
      "  93  96  97  98 105 107 115]\n",
      "image # 8161, layer # layer2.1.relu has outliers [  0  19  20  25  27  29  45  50  58  59  60  75  80  85  86  93  96  97\n",
      " 105 107 108 110 115]\n",
      "image # 8174, layer # layer2.1.relu has outliers [  3  16  20  25  27  29  34  50  75  80  84  86  88  93  96  97  98 105\n",
      " 106 107 110 113 114 115]\n",
      "image # 8253, layer # layer2.1.relu has outliers [  0   1   7  20  27  34  49  50  58  59  75  85  86  88  93  96  97  98\n",
      " 105 106 113 115 121]\n",
      "image # 8273, layer # layer2.1.relu has outliers [  7  12  17  19  20  25  45  49  50  51  60  75  86  88  89  93  97 104\n",
      " 105 106 107 108 109 115]\n",
      "image # 8342, layer # layer2.1.relu has outliers [ 17  20  25  27  29  34  50  58  59  75  80  84  85  89  93  96  97  98\n",
      " 105 108 109 114 115]\n",
      "image # 8353, layer # layer2.1.relu has outliers [  0   5   7  12  19  20  25  27  29  31  34  45  58  60  64  65  75  80\n",
      "  86  89  96  97 105 110 115 121]\n",
      "image # 8358, layer # layer2.1.relu has outliers [  0   5   7  12  15  20  25  29  34  38  49  50  58  75  80  89  96  97\n",
      "  98 104 105 108 109 115]\n",
      "image # 8372, layer # layer2.1.relu has outliers [  0   7  12  17  19  20  25  27  29  37  45  58  59  60  63  75  80  85\n",
      "  86  88  89  93  96  97  98 105 106 108 110 115]\n",
      "image # 8535, layer # layer2.1.relu has outliers [ 20  25  27  29  31  34  38  45  49  50  60  75  85  86  89  97 104 105\n",
      " 108 109 110 114 115]\n",
      "image # 8544, layer # layer2.1.relu has outliers [  0   7  12  17  19  20  25  29  45  49  50  51  58  59  60  64  75  80\n",
      "  85  86  89  93  96  97 104 105 107 109 115]\n",
      "image # 8612, layer # layer2.1.relu has outliers [  0   2   5   7  12  17  19  20  25  27  29  45  50  58  59  64  75  80\n",
      "  86  96  97  98 104 105 108 115]\n",
      "image # 8717, layer # layer2.1.relu has outliers [  0   1   2   5   7  14  18  20  25  29  34  49  50  58  75  80  89  93\n",
      "  96  97  98 104 105 113 114 115]\n",
      "image # 8755, layer # layer2.1.relu has outliers [  0   5   7  17  18  19  20  25  29  50  58  59  60  75  80  86  89  93\n",
      "  96  97 104 105 106 108 115]\n",
      "image # 8800, layer # layer2.1.relu has outliers [  0  12  17  19  20  25  27  49  58  59  63  75  85  86  88  89  93  96\n",
      "  97 105 107 109 110 114 115 121]\n",
      "image # 8909, layer # layer2.1.relu has outliers [  0   5  16  18  19  20  25  29  50  58  64  75  80  86  93  97  98 105\n",
      " 114 115]\n",
      "image # 8923, layer # layer2.1.relu has outliers [  1   7  15  17  18  20  25  29  31  34  49  50  59  75  80  85  86  93\n",
      "  96  97  98 105 107 115 121]\n",
      "image # 8930, layer # layer2.1.relu has outliers [  0   1   5   7  12  15  19  20  25  27  29  34  49  50  59  75  80  85\n",
      "  89  93  96  97  98 105 107 114 115]\n",
      "image # 8933, layer # layer2.1.relu has outliers [  5   7  17  19  20  25  27  29  37  45  50  59  60  70  75  80  86  88\n",
      "  93  96  97  98 105 106 107 108 115]\n",
      "image # 8996, layer # layer2.1.relu has outliers [  0   7  12  15  16  18  19  25  29  50  58  59  60  75  80  85  86  89\n",
      "  93  97  98 105 107 115 121]\n",
      "image # 9047, layer # layer2.1.relu has outliers [ 12  15  16  17  19  20  25  27  50  51  58  75  85  86  88  89  93  96\n",
      "  97  98 105 106 109 113 115]\n",
      "image # 9111, layer # layer2.1.relu has outliers [  1   5   7  15  17  19  20  25  27  29  31  34  49  50  59  75  80  85\n",
      "  89  93  96  97 104 105 109 110 114 115]\n",
      "image # 9208, layer # layer2.1.relu has outliers [  0   7  12  14  17  19  20  25  45  49  50  51  58  60  64  75  80  86\n",
      "  89  97 104 105 106 108 109 115]\n",
      "image # 9320, layer # layer2.1.relu has outliers [  7  12  17  19  20  25  27  29  45  50  59  60  75  80  86  88  93  96\n",
      "  97  98 105 107 108 115]\n",
      "image # 9333, layer # layer2.1.relu has outliers [  0   1   7  12  14  17  18  19  20  25  50  58  60  75  80  84  85  86\n",
      "  93  96  97  98 104 105 108 109 115]\n",
      "image # 9585, layer # layer2.1.relu has outliers [  0   2   5   7  12  16  19  20  25  29  38  45  50  58  60  64  75  86\n",
      "  96  97  98 104 105 113 115]\n",
      "image # 9597, layer # layer2.1.relu has outliers [  5   7  15  16  17  19  20  25  29  34  45  50  51  60  75  80  89  93\n",
      "  97 104 105 108 109 114 115]\n",
      "image # 9598, layer # layer2.1.relu has outliers [  0   5  12  13  16  17  19  20  25  45  50  59  60  64  65  86  96  97\n",
      " 104 105 108 115]\n",
      "image # 9611, layer # layer2.1.relu has outliers [  0   5  17  19  20  25  27  29  45  50  58  75  80  85  86  93  96  97\n",
      "  98 105 106 107 108 110 115]\n",
      "image # 9655, layer # layer2.1.relu has outliers [  0   5   7  19  20  25  27  29  34  45  49  50  58  59  60  64  75  80\n",
      "  85  86  93  96  97  98 105 109 115]\n",
      "image # 9716, layer # layer2.1.relu has outliers [  0   2   7  15  19  20  25  27  29  31  34  49  50  58  60  75  80  85\n",
      "  86  89  96  97  98 105 106 107 108 115 121]\n",
      "image # 9807, layer # layer2.1.relu has outliers [  0   7  12  15  16  17  19  20  25  45  49  50  58  60  64  75  86  93\n",
      "  96  97  98 104 105 107 115]\n",
      "image # 9854, layer # layer2.1.relu has outliers [  0   1   7  12  17  18  20  25  29  38  49  50  58  75  80  84  85  86\n",
      "  88  93  97  98 104 105 106 108 109 115]\n",
      "image # 9870, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  29  31  49  50  51  59  75  80  86  88\n",
      "  89  93  96  97  98 104 105 109 113 115]\n",
      "image # 9914, layer # layer2.1.relu has outliers [  1   7  12  17  19  20  25  27  29  31  49  50  75  80  85  86  93  96\n",
      "  97 104 105 108 114 115]\n",
      "image # 9937, layer # layer2.1.relu has outliers [  0   1   2   5   7  13  20  25  27  29  37  49  50  58  70  75  80  86\n",
      "  96  97  98 105 106 108 113 115]\n",
      "image # 10055, layer # layer2.1.relu has outliers [  0   1  20  25  27  34  50  58  59  75  80  85  86  93  96  97  98 105\n",
      " 106 110 115]\n",
      "image # 10087, layer # layer2.1.relu has outliers [  0   2   5   7  20  25  27  29  38  45  58  60  64  75  86  96  98 104\n",
      " 105 108 110 115]\n",
      "image # 10129, layer # layer2.1.relu has outliers [  0   2   5   7  12  17  19  20  25  27  29  45  50  58  59  60  75  80\n",
      "  86  93  96  97  98 104 105 108 115]\n",
      "image # 10156, layer # layer2.1.relu has outliers [  0   7  12  19  20  25  27  29  34  38  45  50  58  60  75  80  88  89\n",
      "  93  96  97  98 105 106 108 109 110 115]\n",
      "image # 10193, layer # layer2.1.relu has outliers [ 17  19  20  25  29  45  50  59  60  64  68  75  80  86  93  96  97 104\n",
      " 105 108 114 115]\n",
      "image # 10209, layer # layer2.1.relu has outliers [  0   5   7  12  15  16  18  19  25  29  38  45  49  50  58  59  60  75\n",
      "  86  93  97  98 105 107 108 115 121]\n",
      "image # 10225, layer # layer2.1.relu has outliers [  0   7  12  15  19  20  25  29  31  45  49  50  58  59  60  75  80  86\n",
      "  89  93  96  97  98 104 105 108 115]\n",
      "image # 10251, layer # layer2.1.relu has outliers [  0   5   7  12  17  19  20  25  29  31  45  49  50  60  68  75  86  93\n",
      "  96  97 104 105 108 115]\n",
      "image # 10259, layer # layer2.1.relu has outliers [  0   1   7  16  17  18  19  20  25  34  49  50  75  80  85  86  89  93\n",
      "  96  97  98 104 105 109 115]\n",
      "image # 10263, layer # layer2.1.relu has outliers [  0   2   5   7  12  13  19  20  25  29  38  50  54  58  64  75  80  89\n",
      "  96  97  98 104 105 106 109 113 115]\n",
      "image # 10269, layer # layer2.1.relu has outliers [  0   1   5  18  19  25  27  50  58  59  75  80  85  86  89  93  96  97\n",
      "  98 105 106 114 115]\n",
      "image # 10273, layer # layer2.1.relu has outliers [  0   5   7  12  17  18  19  20  25  29  45  50  58  60  64  75  86  89\n",
      "  93  96  97  98 104 105 108 109 113 114 115]\n",
      "image # 10297, layer # layer2.1.relu has outliers [  0  12  16  17  19  20  25  27  29  45  50  64  75  85  86  88  93  96\n",
      "  97  98 105 107 113 115]\n",
      "image # 10343, layer # layer2.1.relu has outliers [  0   5  17  18  19  20  25  27  45  50  58  59  60  70  75  80  86  93\n",
      "  96  97  98 105 106 107 108 115]\n",
      "image # 10377, layer # layer2.1.relu has outliers [  0   1  17  20  25  27  29  34  49  58  59  75  80  85  86  89  93  96\n",
      "  97  98 105 106 108 114 115]\n",
      "image # 10385, layer # layer2.1.relu has outliers [ 12  17  19  20  25  29  31  45  49  50  59  60  64  75  86  88  93  97\n",
      " 104 105 106 107 108 115]\n",
      "image # 10398, layer # layer2.1.relu has outliers [ 17  18  20  27  29  34  45  50  58  59  75  80  85  86  88  89  93  97\n",
      "  98 105 106 107 108 109 110 115 121]\n",
      "image # 10418, layer # layer2.1.relu has outliers [  7  15  17  20  25  27  29  34  45  49  50  58  75  80  85  86  93  96\n",
      "  97  98 105 106 108 110 114 115]\n",
      "image # 10513, layer # layer2.1.relu has outliers [  0  17  19  20  25  45  50  58  60  64  68  75  80  85  86  88  89  97\n",
      " 104 105 106 108 109 115]\n",
      "image # 10524, layer # layer2.1.relu has outliers [  1   7  17  18  20  25  49  50  59  75  80  85  86  93  96  97  98 105\n",
      " 106 113 115]\n",
      "image # 10705, layer # layer2.1.relu has outliers [  7  15  17  19  20  25  27  29  34  45  50  59  60  75  80  86  93  96\n",
      "  97  98 105 106 107 115]\n",
      "image # 10817, layer # layer2.1.relu has outliers [  0   2   7  12  14  17  19  20  25  29  51  60  75  89  93  96  97  98\n",
      " 104 105 107 115]\n",
      "image # 10818, layer # layer2.1.relu has outliers [  0   5   7  17  19  20  25  50  58  64  75  80  84  85  86  89  93  96\n",
      "  97  98 104 105 106 109 115]\n",
      "image # 10821, layer # layer2.1.relu has outliers [  0   7  15  19  20  25  27  29  34  45  49  58  59  60  75  80  85  86\n",
      "  93  96  97  98 105 108 110 115 121]\n",
      "image # 10866, layer # layer2.1.relu has outliers [  0   2  14  17  18  20  25  29  50  51  59  75  84  85  86  88  93  96\n",
      "  97  98 104 105 106 107 115]\n",
      "image # 10946, layer # layer2.1.relu has outliers [  0   7  17  18  19  20  29  38  49  50  59  65  75  86  89  93  96  97\n",
      "  98 104 105 108 115]\n",
      "layer layer2.2.relu\n",
      "image # 130, layer # layer2.2.relu has outliers [  5  17  19  20  25  29  33  38  45  59  60  69  75  80  86  89 104 105\n",
      " 115]\n",
      "image # 135, layer # layer2.2.relu has outliers [  0  12  13  17  20  25  29  38  45  49  58  59  63  68  75  86  87  89\n",
      " 104 105 115]\n",
      "image # 250, layer # layer2.2.relu has outliers [  5  12  13  14  17  20  25  29  31  39  45  58  60  75  80  86  87 104\n",
      " 105 107 113 115]\n",
      "image # 383, layer # layer2.2.relu has outliers [  5  12  13  14  16  18  20  25  29  45  58  59  65  75  76  86  87  89\n",
      " 105 115 121]\n",
      "image # 399, layer # layer2.2.relu has outliers [  5  12  13  14  17  19  20  25  29  31  37  38  45  49  51  59  60  65\n",
      "  68  75  86  87  89  93 104 105 115]\n",
      "image # 519, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  15  16  20  25  29  37  38  51  59  65  68  75\n",
      "  80  86  89  93 104 105 107 115]\n",
      "image # 540, layer # layer2.2.relu has outliers [ 12  13  15  18  20  25  29  38  45  58  59  60  65  68  75  80  85  86\n",
      "  87  89 105 107 115 121]\n",
      "image # 551, layer # layer2.2.relu has outliers [ 12  17  20  25  29  31  38  45  51  53  59  65  69  75  85  86  89  93\n",
      " 104 105 115]\n",
      "image # 579, layer # layer2.2.relu has outliers [  5  12  17  19  20  25  29  31  45  59  65  69  75  80  86  89  93 104\n",
      " 105 115]\n",
      "image # 739, layer # layer2.2.relu has outliers [  5  12  13  14  17  20  25  29  31  33  51  59  60  63  64  75  86 104\n",
      " 105 107 115]\n",
      "image # 751, layer # layer2.2.relu has outliers [  7  12  13  15  17  20  25  29  31  38  45  49  51  65  68  75  76  86\n",
      "  89 104 105 115]\n",
      "image # 818, layer # layer2.2.relu has outliers [ 12  17  18  20  25  29  38  45  59  60  63  65  68  75  80  85  86  89\n",
      " 104 105]\n",
      "image # 821, layer # layer2.2.relu has outliers [ 12  13  14  15  17  20  25  29  38  45  49  53  58  65  75  80  85  86\n",
      "  89  93 105 107 115]\n",
      "image # 878, layer # layer2.2.relu has outliers [  5  12  13  14  20  25  29  31  39  45  59  60  75  80  86  89  93 104\n",
      " 105 107]\n",
      "image # 907, layer # layer2.2.relu has outliers [  5  13  17  18  20  25  29  45  58  59  64  69  75  80  85  86  87  93\n",
      " 105 113]\n",
      "image # 1042, layer # layer2.2.relu has outliers [  0   1   5  12  13  17  20  25  29  59  63  75  80  86  89 104 105 115]\n",
      "image # 1134, layer # layer2.2.relu has outliers [  5   7  12  15  17  20  25  29  31  38  45  52  59  60  64  75  80  86\n",
      "  89 104 105 108]\n",
      "image # 1195, layer # layer2.2.relu has outliers [ 12  14  15  17  20  25  29  33  38  45  53  59  60  75  86  89 105 107\n",
      " 115]\n",
      "image # 1207, layer # layer2.2.relu has outliers [ 15  18  20  25  29  31  45  58  59  69  75  80  86  93  96 105 107 121]\n",
      "image # 1250, layer # layer2.2.relu has outliers [  5  12  13  15  17  18  20  25  29  31  45  49  53  58  75  80  85  86\n",
      " 105 107 115 121]\n",
      "image # 1285, layer # layer2.2.relu has outliers [  5  12  16  17  20  25  29  31  45  48  49  52  53  59  60  68  69  75\n",
      "  86  87  89  93  96 105]\n",
      "image # 1296, layer # layer2.2.relu has outliers [  1  18  20  23  25  29  31  35  45  53  59  65  75  76  78  80  85  86\n",
      "  89 105]\n",
      "image # 1382, layer # layer2.2.relu has outliers [ 12  13  14  15  18  20  25  29  31  45  52  65  69  75  80  85  87  89\n",
      " 105 107 115]\n",
      "image # 1392, layer # layer2.2.relu has outliers [  5  12  15  20  25  29  31  45  49  58  59  60  65  68  75  85  86  87\n",
      "  89 105 107 115 121]\n",
      "image # 1451, layer # layer2.2.relu has outliers [  7  12  13  14  17  18  20  25  29  33  37  38  51  60  64  65  75  80\n",
      "  89 104 105 113 115]\n",
      "image # 1457, layer # layer2.2.relu has outliers [  0   5  13  16  17  20  25  29  31  45  58  69  75  80  85  86 105 121]\n",
      "image # 1520, layer # layer2.2.relu has outliers [  5  12  17  19  20  23  25  29  33  45  53  59  60  68  69  75  86  87\n",
      "  93 105]\n",
      "image # 1545, layer # layer2.2.relu has outliers [  7  12  13  15  20  25  29  33  38  45  51  59  60  75  80  89 104 105\n",
      " 115]\n",
      "image # 1724, layer # layer2.2.relu has outliers [  5  13  16  18  20  25  29  45  59  60  64  69  75  86  87  89 105 113]\n",
      "image # 1777, layer # layer2.2.relu has outliers [  5  12  16  17  20  25  29  45  58  59  60  65  68  75  85  86  87  93\n",
      " 105]\n",
      "image # 1846, layer # layer2.2.relu has outliers [  1  15  16  17  20  25  29  49  50  52  53  58  59  75  80  85  86  89\n",
      " 105 113 121]\n",
      "image # 1864, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  16  20  25  29  38  45  51  59  60  64  65  75\n",
      "  80  86  89 104 105 107 115]\n",
      "image # 1912, layer # layer2.2.relu has outliers [  5  12  15  16  20  25  29  34  38  45  52  58  59  60  64  69  75  80\n",
      "  86  87  89 105 121]\n",
      "image # 1969, layer # layer2.2.relu has outliers [  1   5  12  13  20  25  29  50  58  59  75  80  85  86  89 104 105 115]\n",
      "image # 1970, layer # layer2.2.relu has outliers [  1  15  18  20  23  25  29  31  34  35  52  53  58  59  75  76  78  80\n",
      "  85  86  89  90 105 121]\n",
      "image # 2006, layer # layer2.2.relu has outliers [  0   5  12  20  25  29  31  45  51  58  59  60  65  75  80  86  89 104\n",
      " 105 115]\n",
      "image # 2025, layer # layer2.2.relu has outliers [  1  15  17  18  20  23  25  29  31  35  45  53  59  75  76  78  80  86\n",
      "  89  96 104 105]\n",
      "image # 2117, layer # layer2.2.relu has outliers [  0   5   7  11  12  13  14  17  20  25  29  33  38  45  49  51  65  68\n",
      "  75  80  86  89 104 105 107]\n",
      "image # 2269, layer # layer2.2.relu has outliers [  5  12  13  14  16  17  18  20  25  29  38  45  53  58  60  65  68  75\n",
      "  80  85  86  87 104 105 115 121]\n",
      "image # 2421, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  15  17  20  25  29  33  37  38  45  49  51  59\n",
      "  60  65  68  75  80  86  89 104 105 115]\n",
      "image # 2524, layer # layer2.2.relu has outliers [  6   7  11  12  13  14  17  20  25  29  31  38  45  51  59  60  68  75\n",
      "  80  86  87  89 104 105 115]\n",
      "image # 2530, layer # layer2.2.relu has outliers [  0   5  12  14  19  20  25  29  45  58  60  75  80  86  89 104 105]\n",
      "image # 2565, layer # layer2.2.relu has outliers [  0   5  12  14  15  17  20  25  29  49  50  52  58  75  80  86  98 105\n",
      " 107 115 121]\n",
      "image # 2635, layer # layer2.2.relu has outliers [  5   7  12  13  15  20  25  29  33  38  45  51  59  60  64  65  75  80\n",
      "  86  87  89 104 105]\n",
      "image # 2638, layer # layer2.2.relu has outliers [  5  20  25  29  38  45  50  59  64  75  80  86  89  93 104 105 115]\n",
      "image # 2727, layer # layer2.2.relu has outliers [  5  12  13  16  17  18  20  25  29  45  59  60  69  75  85  86  87  89\n",
      " 105]\n",
      "image # 2817, layer # layer2.2.relu has outliers [  0   2   5  11  12  13  14  17  20  25  29  38  41  58  59  75  86 104\n",
      " 105]\n",
      "image # 2937, layer # layer2.2.relu has outliers [  5  12  14  15  20  25  29  45  58  59  60  64  65  75  80  85  86  89\n",
      " 105 107 113]\n",
      "image # 2942, layer # layer2.2.relu has outliers [ 11  12  13  20  25  29  45  49  53  58  59  60  64  65  68  86  87 105]\n",
      "image # 2962, layer # layer2.2.relu has outliers [  5   7  12  13  15  18  20  25  29  31  38  45  49  52  53  59  75  80\n",
      "  86  89 104 105 115]\n",
      "image # 3065, layer # layer2.2.relu has outliers [  1  13  18  20  25  29  31  38  53  59  65  66  75  76  78  86  89 105\n",
      " 115 121]\n",
      "image # 3147, layer # layer2.2.relu has outliers [  1  15  18  20  23  29  31  35  52  53  59  65  75  76  78  80  85  86\n",
      "  89  96 105 111]\n",
      "image # 3287, layer # layer2.2.relu has outliers [ 12  15  17  18  19  20  25  29  31  33  38  45  49  51  52  59  60  68\n",
      "  69  76  80  86  87  89 104 105 107 108 115]\n",
      "image # 3395, layer # layer2.2.relu has outliers [  7  12  15  16  20  25  29  31  38  58  60  64  65  75  85  86  89 105\n",
      " 107 115 121]\n",
      "image # 3643, layer # layer2.2.relu has outliers [  5  12  15  20  25  29  45  49  52  58  59  75  80  86  89  93 105 107\n",
      " 115 121]\n",
      "image # 3811, layer # layer2.2.relu has outliers [  5   7  12  13  15  17  18  20  25  29  31  33  38  49  51  65  75  80\n",
      "  86  89 104 105 115]\n",
      "image # 3846, layer # layer2.2.relu has outliers [  7  12  13  14  15  17  20  25  29  38  49  50  51  59  65  68  75  80\n",
      "  86  89 104 105 107 115]\n",
      "image # 3930, layer # layer2.2.relu has outliers [  5  12  13  20  23  25  29  45  59  65  75  86  87  89 105 113]\n",
      "image # 3953, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  17  20  25  29  31  38  45  60  64  65  68  75\n",
      "  80  86  87  89 104 105 107 121]\n",
      "image # 4002, layer # layer2.2.relu has outliers [  5  12  17  20  25  29  31  33  45  49  59  60  69  75  80  85  86  93\n",
      " 104 105 115]\n",
      "image # 4014, layer # layer2.2.relu has outliers [  1  18  20  31  53  59  66  75  76  78  86  87 105]\n",
      "image # 4064, layer # layer2.2.relu has outliers [  0   7  12  13  14  15  20  25  29  31  45  49  50  51  59  75  86  89\n",
      " 104 105 107 115 121]\n",
      "image # 4078, layer # layer2.2.relu has outliers [  5   7  12  13  15  20  25  29  31  45  50  52  59  69  75  80  86  89\n",
      "  93 104 105]\n",
      "image # 4100, layer # layer2.2.relu has outliers [  5  12  13  15  17  19  20  25  29  31  45  49  59  60  65  68  69  75\n",
      "  80  86  87  89 104 105 115]\n",
      "image # 4115, layer # layer2.2.relu has outliers [  5  12  13  14  17  18  20  25  29  38  50  59  68  75  86  87  89  93\n",
      " 104 105 115]\n",
      "image # 4256, layer # layer2.2.relu has outliers [  5  12  13  17  20  23  25  29  31  33  38  45  50  60  65  68  69  75\n",
      "  77  85  86  87  89 104 105 107 115]\n",
      "image # 4317, layer # layer2.2.relu has outliers [  1  12  13  14  17  18  20  25  29  31  38  59  63  75  86  89  96 104\n",
      " 105]\n",
      "image # 4342, layer # layer2.2.relu has outliers [ 12  15  20  25  29  31  38  49  52  58  59  69  75  76  80  85  86  89\n",
      "  96 105 107 121]\n",
      "image # 4374, layer # layer2.2.relu has outliers [  5  12  15  18  20  25  29  31  33  38  45  49  52  58  59  60  69  75\n",
      "  80  86  89 104 105 107 108 115]\n",
      "image # 4388, layer # layer2.2.relu has outliers [  5   7  12  13  15  17  20  25  29  33  38  45  50  51  59  60  65  75\n",
      "  80  86  89 104 105]\n",
      "image # 4392, layer # layer2.2.relu has outliers [  5  12  16  20  25  29  45  51  58  59  60  64  65  75  80  85  86  89\n",
      " 105 115]\n",
      "image # 4452, layer # layer2.2.relu has outliers [  5  12  13  14  17  18  20  25  29  33  37  38  39  45  49  60  75  80\n",
      "  87  89 104 105 115]\n",
      "image # 4484, layer # layer2.2.relu has outliers [  5  12  13  14  17  20  25  29  31  45  50  58  59  68  75  86 105 107\n",
      " 115]\n",
      "image # 4509, layer # layer2.2.relu has outliers [  5  12  13  14  18  20  25  29  31  37  38  59  65  75  86 105]\n",
      "image # 4564, layer # layer2.2.relu has outliers [  1   7  12  15  18  25  29  31  34  52  75  80  85  86  89 105 107 121]\n",
      "image # 4804, layer # layer2.2.relu has outliers [  5  11  12  13  14  17  20  25  29  31  38  45  49  51  64  65  68  75\n",
      "  77  89 104 105 115]\n",
      "image # 4833, layer # layer2.2.relu has outliers [  5  12  13  15  17  19  20  25  29  31  45  49  68  69  75  80  86  89\n",
      "  93 104 105 115]\n",
      "image # 4896, layer # layer2.2.relu has outliers [  5  12  17  20  25  29  31  38  45  49  58  69  75  80  86  89  93 104\n",
      " 105 108]\n",
      "image # 4933, layer # layer2.2.relu has outliers [  6  12  13  14  15  17  18  20  25  29  38  58  59  68  75  80  86  89\n",
      " 104 105 107 115 121]\n",
      "image # 5018, layer # layer2.2.relu has outliers [  0   7  12  15  20  25  29  31  38  49  58  65  69  75  80  85  86  87\n",
      "  89 105 110 121]\n",
      "image # 5049, layer # layer2.2.relu has outliers [  5  12  13  18  20  25  29  31  45  59  60  75  80  86  89 105 107 115]\n",
      "image # 5193, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  15  17  20  25  29  31  33  37  38  45  49  51\n",
      "  59  65  75  80  86  89 104 105 107 115]\n",
      "image # 5244, layer # layer2.2.relu has outliers [  5  12  17  20  25  29  38  45  58  59  64  65  75  80  86  87  89  93\n",
      " 104 105]\n",
      "image # 5434, layer # layer2.2.relu has outliers [ 12  13  14  17  20  25  29  31  33  38  45  58  60  64  75  80  86  87\n",
      "  89 104 105]\n",
      "image # 5518, layer # layer2.2.relu has outliers [  0   5   7  11  12  13  17  18  20  25  29  33  38  45  51  59  60  65\n",
      "  75  80  86  87  89 104 105 115]\n",
      "image # 5533, layer # layer2.2.relu has outliers [  1  15  18  20  23  25  31  45  52  53  59  66  75  76  78  80  85  86\n",
      " 105 121]\n",
      "image # 5576, layer # layer2.2.relu has outliers [  5  12  15  20  25  29  31  45  58  59  60  69  75  86  87  89  93  96\n",
      " 105]\n",
      "image # 5611, layer # layer2.2.relu has outliers [  5   7  12  13  15  17  19  20  25  29  31  38  49  50  59  65  75  80\n",
      "  86  89 104 105 115]\n",
      "image # 5633, layer # layer2.2.relu has outliers [ 12  13  18  20  25  29  38  45  51  53  59  65  75  80  86  89 104 105]\n",
      "image # 5727, layer # layer2.2.relu has outliers [  5  12  13  14  15  17  20  25  29  45  51  60  75  80  86  89 104 105]\n",
      "image # 5805, layer # layer2.2.relu has outliers [  5  12  13  20  25  29  45  49  50  58  75  80  85  86  87  89 105 115]\n",
      "image # 5820, layer # layer2.2.relu has outliers [  5  11  12  13  14  17  20  25  29  38  45  51  58  59  60  64  65  75\n",
      "  86  87 104 105 115]\n",
      "image # 5902, layer # layer2.2.relu has outliers [  5  12  15  17  20  25  29  31  45  49  51  59  60  75  80  85  89  96\n",
      " 104 105]\n",
      "image # 5988, layer # layer2.2.relu has outliers [ 12  13  20  25  29  31  33  38  45  51  60  65  75  80  86  87  89 104\n",
      " 105 115]\n",
      "image # 6046, layer # layer2.2.relu has outliers [  5  12  14  15  19  20  25  29  31  38  45  49  53  58  59  60  68  69\n",
      "  75  80  86  97 104 105]\n",
      "image # 6114, layer # layer2.2.relu has outliers [  1  16  17  18  20  25  31  35  45  50  53  58  59  75  76  78  86  89\n",
      " 105 107 115]\n",
      "image # 6237, layer # layer2.2.relu has outliers [  7  12  13  15  20  25  29  31  38  49  52  59  69  75  80  86  89 104\n",
      " 105 107 115 121]\n",
      "image # 6249, layer # layer2.2.relu has outliers [  5   7  12  13  20  25  29  38  45  59  63  75  80  87  89 104 105]\n",
      "image # 6285, layer # layer2.2.relu has outliers [  7  12  13  14  20  25  29  31  38  49  50  58  59  69  75  80  86  89\n",
      " 105 107 121]\n",
      "image # 6346, layer # layer2.2.relu has outliers [  7  15  20  29  31  33  38  45  49  51  52  64  75  80  89  96 104 105]\n",
      "image # 6426, layer # layer2.2.relu has outliers [  5  12  15  18  20  25  29  31  45  58  59  75  80  86  89  90 105 115\n",
      " 121]\n",
      "image # 6436, layer # layer2.2.relu has outliers [  5   7  12  13  15  17  20  25  29  31  33  38  45  49  51  68  75  80\n",
      "  86  89 104 105 115]\n",
      "image # 6499, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  20  25  29  31  38  49  51  59  63  65  75  80\n",
      "  86  89 104 105 115 121]\n",
      "image # 6513, layer # layer2.2.relu has outliers [ 13  17  18  20  25  29  33  38  45  51  59  60  64  65  75  80  85  86\n",
      "  87  89 104 105 115]\n",
      "image # 6614, layer # layer2.2.relu has outliers [  0   5  11  17  20  23  25  29  33  45  50  59  60  65  75  86  87  89\n",
      "  93 104 105 115]\n",
      "image # 6747, layer # layer2.2.relu has outliers [  0   5  12  13  14  15  17  20  25  29  38  45  49  58  65  75  80  86\n",
      "  89 104 105 115 121]\n",
      "image # 6824, layer # layer2.2.relu has outliers [  5  16  17  20  25  29  33  38  45  53  58  59  63  68  75  80  86  87\n",
      "  89 104 105]\n",
      "image # 6908, layer # layer2.2.relu has outliers [  5  12  15  16  17  20  25  29  45  60  68  75  86  93 105]\n",
      "image # 6931, layer # layer2.2.relu has outliers [ 12  16  20  25  29  38  45  58  59  64  65  69  75  80  85  86  87  89\n",
      " 105 113]\n",
      "image # 6972, layer # layer2.2.relu has outliers [ 12  13  17  20  25  29  31  45  58  59  63  69  75  86  87  89  93 105\n",
      " 107]\n",
      "image # 6974, layer # layer2.2.relu has outliers [ 11  13  17  18  20  25  29  33  37  38  51  59  60  65  68  75  85  86\n",
      "  89 104 105 115]\n",
      "image # 7114, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  17  18  20  25  29  39  45  51  59  60  65  68\n",
      "  75  80  86  89 104 105 107 115]\n",
      "image # 7232, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  18  20  25  29  38  45  49  51  58  60  64  65\n",
      "  68  75  80  86  89 104 105 107 115 121]\n",
      "image # 7243, layer # layer2.2.relu has outliers [  0   5  12  13  17  20  25  29  31  45  49  59  69  75  80  86  89  93\n",
      " 104 105 115]\n",
      "image # 7310, layer # layer2.2.relu has outliers [  7  12  13  14  15  17  20  25  38  45  51  75  80  86  89 104 105 107\n",
      " 115]\n",
      "image # 7357, layer # layer2.2.relu has outliers [  5  12  13  14  16  20  25  29  45  51  58  60  64  65  75  77  86  87\n",
      "  89  93 105 107 115]\n",
      "image # 7370, layer # layer2.2.relu has outliers [ 19  20  25  29  31  38  45  59  60  63  69  75  80  86  89 104 105]\n",
      "image # 7385, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  18  20  25  29  31  38  45  58  60  65  75  80\n",
      "  86  89 104 105 107 115 121]\n",
      "image # 7416, layer # layer2.2.relu has outliers [  1   5   7  12  13  15  18  20  25  29  38  50  51  52  75  80  89  96\n",
      " 104 105 115 121]\n",
      "image # 7494, layer # layer2.2.relu has outliers [  5  12  15  20  25  29  31  38  45  49  52  59  60  69  75  86  89  93\n",
      " 104 105 115]\n",
      "image # 7504, layer # layer2.2.relu has outliers [  5  12  14  20  25  29  45  50  59  64  75  80  85  86  87 104 105 115]\n",
      "image # 7515, layer # layer2.2.relu has outliers [  1  12  13  15  17  18  20  25  29  38  51  59  75  76  80  85  89 104\n",
      " 105 115]\n",
      "image # 7659, layer # layer2.2.relu has outliers [  5   7  11  12  13  14  18  20  25  29  33  37  38  45  59  60  64  65\n",
      "  75  80  86  87  89 104 105 113]\n",
      "image # 7725, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  18  20  25  29  38  45  49  51  60  65  68  75\n",
      "  80  86  89 104 105 107 115]\n",
      "image # 7781, layer # layer2.2.relu has outliers [  5  12  13  15  17  20  25  29  31  45  49  60  64  65  68  69  75  76\n",
      "  77  86  87  89 105]\n",
      "image # 7828, layer # layer2.2.relu has outliers [  5  12  13  15  18  19  20  25  29  38  45  52  59  60  64  69  75  86\n",
      "  87  89 104 105]\n",
      "image # 7915, layer # layer2.2.relu has outliers [  0   5   7  12  13  15  20  25  29  31  45  58  59  63  75  80  85  86\n",
      "  89 105 107 115 121]\n",
      "image # 7933, layer # layer2.2.relu has outliers [  5  12  13  14  17  20  25  29  31  35  39  45  49  50  64  75  77  86\n",
      "  87 104 105 115]\n",
      "image # 7969, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  15  20  25  29  31  38  45  49  51  58  59  63\n",
      "  65  68  75  80  86  89 104 105 115]\n",
      "image # 8081, layer # layer2.2.relu has outliers [  7  12  13  17  20  25  29  31  33  38  45  49  51  59  64  65  75  80\n",
      "  86  89 104 105]\n",
      "image # 8135, layer # layer2.2.relu has outliers [  7  12  14  17  20  25  29  31  38  45  59  65  75  80  86  89 104 105]\n",
      "image # 8138, layer # layer2.2.relu has outliers [  5  12  13  14  15  16  20  25  29  45  49  51  60  64  68  75  86  87\n",
      " 105 107 115]\n",
      "image # 8161, layer # layer2.2.relu has outliers [  5  12  17  20  25  29  31  45  50  51  58  59  60  65  68  75  80  86\n",
      "  89  93 104 105 107 115]\n",
      "image # 8174, layer # layer2.2.relu has outliers [  3   5  13  17  20  25  29  33  45  50  69  75  80  85  86  93 105 107\n",
      " 110 113]\n",
      "image # 8253, layer # layer2.2.relu has outliers [  1  12  20  25  29  31  49  50  58  59  75  76  78  86 105 113 115 121]\n",
      "image # 8273, layer # layer2.2.relu has outliers [ 12  13  14  17  19  20  25  29  33  45  51  60  65  68  75  86  87  89\n",
      " 104 105 107 115]\n",
      "image # 8342, layer # layer2.2.relu has outliers [  5  12  13  17  20  25  29  45  58  59  65  75  80  85  89  93 104 105]\n",
      "image # 8353, layer # layer2.2.relu has outliers [  5   7  12  13  15  20  25  29  31  38  45  58  60  64  65  68  75  80\n",
      "  86  87  89 104 105 121]\n",
      "image # 8358, layer # layer2.2.relu has outliers [  5   7  12  13  15  18  20  25  29  31  38  49  58  59  75  80  86  89\n",
      " 104 105 121]\n",
      "image # 8372, layer # layer2.2.relu has outliers [ 12  15  17  19  20  25  29  31  38  45  51  58  59  60  63  75  80  86\n",
      "  87  89  93 104 105 121]\n",
      "image # 8535, layer # layer2.2.relu has outliers [ 17  20  25  29  31  33  38  45  49  60  69  75  85  89 104 105]\n",
      "image # 8544, layer # layer2.2.relu has outliers [  5  12  13  17  20  25  29  45  51  59  60  63  64  68  75  80  86  87\n",
      "  89 104 105 107]\n",
      "image # 8612, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  17  20  25  29  45  59  64  68  75  80  86  87\n",
      "  89 104 105]\n",
      "image # 8717, layer # layer2.2.relu has outliers [  1   5   7  12  13  14  15  18  20  25  29  31  38  45  53  59  65  75\n",
      "  76  80  86  89 104 105]\n",
      "image # 8755, layer # layer2.2.relu has outliers [  5  12  13  17  18  20  25  29  45  59  60  68  75  80  86  89 104 105]\n",
      "image # 8800, layer # layer2.2.relu has outliers [ 12  13  15  17  18  20  25  29  31  38  49  51  53  58  59  63  68  75\n",
      "  85  86  87  89  93 105 115 121]\n",
      "image # 8909, layer # layer2.2.relu has outliers [  5  12  13  18  20  25  29  38  39  45  58  59  64  75  80  86  89 104\n",
      " 105 115]\n",
      "image # 8923, layer # layer2.2.relu has outliers [  1  12  13  15  18  20  25  29  31  45  53  59  65  75  76  78  80  86\n",
      "  89 105 107 121]\n",
      "image # 8930, layer # layer2.2.relu has outliers [  1   5   7  12  13  14  15  20  25  29  31  38  45  59  65  75  80  86\n",
      "  89 105 107 115]\n",
      "image # 8933, layer # layer2.2.relu has outliers [  5  12  13  14  17  20  25  29  45  59  60  65  75  80  86  89 105 115]\n",
      "image # 8996, layer # layer2.2.relu has outliers [  5   7  12  15  18  25  29  38  45  49  58  59  60  64  65  68  75  80\n",
      "  85  86  89 105 107 121]\n",
      "image # 9047, layer # layer2.2.relu has outliers [ 12  15  16  17  20  25  29  51  59  60  69  75  80  85  86  87  89 104\n",
      " 105 113 115]\n",
      "image # 9111, layer # layer2.2.relu has outliers [  5  12  15  17  20  25  29  31  33  38  45  49  52  59  69  73  75  80\n",
      "  85  86  89  93  97 104 105]\n",
      "image # 9208, layer # layer2.2.relu has outliers [  7  11  12  13  14  17  20  25  29  33  38  45  51  60  64  65  68  75\n",
      "  80  86  87  89 104 105 115]\n",
      "image # 9320, layer # layer2.2.relu has outliers [  5  12  15  17  20  25  29  31  45  49  52  59  60  68  75  80  86  89\n",
      " 104 105]\n",
      "image # 9333, layer # layer2.2.relu has outliers [  1   7  12  13  14  17  18  20  25  29  38  39  45  51  60  68  75  76\n",
      "  80  86  87  89 104 105 107 108 121]\n",
      "image # 9585, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  15  20  25  29  38  45  58  59  60  64  65  75\n",
      "  85  86  89 104 105 113 121]\n",
      "image # 9597, layer # layer2.2.relu has outliers [  5  12  13  15  20  25  29  33  38  45  51  52  59  60  65  75  80  86\n",
      "  89 104 105 115]\n",
      "image # 9598, layer # layer2.2.relu has outliers [  5  11  12  13  16  20  25  29  33  45  51  59  60  64  65  68  75  86\n",
      "  87 104 105]\n",
      "image # 9611, layer # layer2.2.relu has outliers [  5  12  14  17  20  25  29  45  58  59  68  69  75  80  86  87 104 105]\n",
      "image # 9655, layer # layer2.2.relu has outliers [  5  12  15  20  25  29  31  45  49  51  58  59  60  64  75  80  85  86\n",
      "  89  93 105 115]\n",
      "image # 9716, layer # layer2.2.relu has outliers [  0   5   7  12  13  15  20  25  29  31  49  50  52  58  59  60  68  75\n",
      "  80  86  89 104 105 107 115 121]\n",
      "image # 9807, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  16  17  20  25  29  38  39  45  51  58  60  64\n",
      "  65  68  75  86  87  89 104 105 107 115 121]\n",
      "image # 9854, layer # layer2.2.relu has outliers [  1  12  13  14  17  18  20  25  29  31  33  38  45  51  53  65  68  75\n",
      "  80  86  89 104 105 107 115]\n",
      "image # 9870, layer # layer2.2.relu has outliers [  5   7  12  13  15  17  19  20  25  29  31  33  49  51  52  59  75  80\n",
      "  86  89  93 104 105 115]\n",
      "image # 9914, layer # layer2.2.relu has outliers [  1  12  15  17  20  25  29  31  45  59  75  80  86  89  93 104 105 115]\n",
      "image # 9937, layer # layer2.2.relu has outliers [  0   5  12  13  14  20  25  29  45  53  58  65  75  80  86  89 104 105\n",
      " 113 115]\n",
      "image # 10055, layer # layer2.2.relu has outliers [ 12  17  20  25  29  31  33  45  50  58  59  69  75  80  86  89  97 104\n",
      " 105 115]\n",
      "image # 10087, layer # layer2.2.relu has outliers [  0   5  12  13  17  20  25  29  33  38  45  53  58  59  60  64  69  75\n",
      "  86  87  89 104 105 113]\n",
      "image # 10129, layer # layer2.2.relu has outliers [  5  12  13  17  20  25  29  33  45  59  60  65  68  69  75  80  86  87\n",
      " 104 105 107]\n",
      "image # 10156, layer # layer2.2.relu has outliers [ 12  13  20  25  29  33  38  45  51  60  64  75  89 104 105 115]\n",
      "image # 10193, layer # layer2.2.relu has outliers [  5  12  16  17  18  20  25  29  33  39  45  59  60  64  65  68  75  80\n",
      "  86  87  89 104 105]\n",
      "image # 10209, layer # layer2.2.relu has outliers [  0   5   7  12  13  14  15  18  20  25  29  38  45  49  58  59  60  65\n",
      "  68  75  86  89 104 105 107 121]\n",
      "image # 10225, layer # layer2.2.relu has outliers [  5   7  12  13  14  15  17  20  25  29  31  38  45  49  51  58  59  65\n",
      "  68  75  80  86  89 104 105 115 121]\n",
      "image # 10251, layer # layer2.2.relu has outliers [  5  11  12  13  14  17  19  20  25  29  31  45  49  50  51  59  60  68\n",
      "  75  76  86  87  89  96 104 105 115]\n",
      "image # 10259, layer # layer2.2.relu has outliers [ 13  14  17  18  20  25  29  38  45  51  59  60  68  75  76  80  85  86\n",
      "  89 104 105]\n",
      "image # 10263, layer # layer2.2.relu has outliers [  7  11  12  13  14  20  25  29  33  38  59  64  65  75  80  86  87  89\n",
      " 104 105 113]\n",
      "image # 10269, layer # layer2.2.relu has outliers [  5  12  18  20  25  29  38  45  58  59  65  75  80  85  86  89 105 115]\n",
      "image # 10273, layer # layer2.2.relu has outliers [  5  12  13  17  18  20  25  29  33  39  45  60  64  65  75  85  87  89\n",
      " 104 105 113]\n",
      "image # 10297, layer # layer2.2.relu has outliers [ 12  14  16  17  20  25  29  45  59  64  68  69  75  85  86  87  89 105\n",
      " 113]\n",
      "image # 10343, layer # layer2.2.relu has outliers [  5  13  18  20  25  29  45  59  60  65  69  75  80  86  96 105 107]\n",
      "image # 10377, layer # layer2.2.relu has outliers [  1   2   5  12  13  17  20  23  25  29  31  58  59  75  80  86  89  96\n",
      " 105 115]\n",
      "image # 10385, layer # layer2.2.relu has outliers [  5  12  13  17  19  20  25  29  31  45  49  51  59  60  64  68  69  75\n",
      "  86  87  89 104 105 107 108 115]\n",
      "image # 10398, layer # layer2.2.relu has outliers [ 13  17  18  20  25  29  38  45  51  59  69  75  80  85  86  87  89 105\n",
      " 107 115 121]\n",
      "image # 10418, layer # layer2.2.relu has outliers [ 12  15  17  20  25  29  38  45  49  52  58  68  69  75  80  86  89  93\n",
      "  97 105 115]\n",
      "image # 10513, layer # layer2.2.relu has outliers [ 11  13  14  17  20  25  29  38  45  51  60  64  65  68  75  80  86  87\n",
      "  89 104 105 115]\n",
      "image # 10524, layer # layer2.2.relu has outliers [  1  13  18  20  25  29  31  45  53  59  65  75  76  78  80  85  86  89\n",
      " 105 113]\n",
      "image # 10705, layer # layer2.2.relu has outliers [  5  12  13  15  17  20  25  29  31  38  45  52  59  60  75  80  86  89\n",
      " 105 115]\n",
      "image # 10817, layer # layer2.2.relu has outliers [  0   7  12  13  14  17  20  25  29  31  37  45  51  60  65  68  75  80\n",
      "  86  89 104 105 107 115]\n",
      "image # 10818, layer # layer2.2.relu has outliers [  5  12  13  17  20  25  29  37  38  59  64  75  80  85  86  89  96 104\n",
      " 105]\n",
      "image # 10821, layer # layer2.2.relu has outliers [ 12  15  20  25  29  45  49  58  59  60  63  75  76  80  85  86  87  89\n",
      " 105 108 110 121]\n",
      "image # 10866, layer # layer2.2.relu has outliers [  5  12  13  14  16  17  18  20  25  29  33  45  50  51  59  68  75  86\n",
      "  89 104 105 107 115]\n",
      "image # 10946, layer # layer2.2.relu has outliers [ 12  13  15  18  20  25  29  31  38  45  49  50  59  65  68  75  76  86\n",
      "  87  89 104 105 107 115]\n",
      "layer layer2.3.relu\n",
      "image # 130, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  39  45  52  58  59  65  75  76  78  87  89\n",
      " 104 105 115]\n",
      "image # 135, layer # layer2.3.relu has outliers [  2  13  17  20  33  37  45  53  58  59  63  65  75  84  87 104 105 115]\n",
      "image # 250, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  31  33  37  39  45  58  64  65  69  75  78  83\n",
      "  87 104 105 107 113 115]\n",
      "image # 383, layer # layer2.3.relu has outliers [  2   5  12  13  16  17  18  20  33  37  44  45  58  59  64  65  69  75\n",
      "  76  78  89 105 113 115 121]\n",
      "image # 399, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  37  39  45  51  60  65  68  75  87  89\n",
      " 104 105 115]\n",
      "image # 519, layer # layer2.3.relu has outliers [  2   5  12  13  14  15  16  17  20  33  37  38  45  51  53  64  65  75\n",
      "  85  89 104 105 115 127]\n",
      "image # 540, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  38  45  58  60  64  65  75  85  87\n",
      "  89 105 113 115 121]\n",
      "image # 551, layer # layer2.3.relu has outliers [  2  12  13  17  20  33  37  44  45  51  53  65  75  85  87  89 104 105\n",
      " 115]\n",
      "image # 579, layer # layer2.3.relu has outliers [  2   5  13  17  20  31  33  37  44  45  52  58  59  64  65  75 105 113\n",
      " 115]\n",
      "image # 739, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  51  59  64  65  75  83  87 104 105 113\n",
      " 115]\n",
      "image # 751, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  39  45  51  58  65  69  75  76  84  87\n",
      "  89 104 105 115]\n",
      "image # 818, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  37  38  44  45  53  58  59  60  64  65  69\n",
      "  75  85  89 104 105 115]\n",
      "image # 821, layer # layer2.3.relu has outliers [  2  12  13  17  20  37  44  45  53  58  64  65  69  75  85  89 105 115]\n",
      "image # 878, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  29  31  33  37  39  44  45  53  58  59  60  64\n",
      "  65  75  83  85 104 105 115]\n",
      "image # 907, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  37  39  45  53  58  64  65  69  75  77  85\n",
      "  87 105 113 115]\n",
      "image # 1042, layer # layer2.3.relu has outliers [  1   2  12  13  17  18  20  29  33  37  58  65  75  83 104 105 115]\n",
      "image # 1134, layer # layer2.3.relu has outliers [  2   5  12  13  15  17  20  31  33  37  38  44  45  52  58  60  64  65\n",
      "  75  89 104 105 115]\n",
      "image # 1195, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  37  44  45  53  59  60  65  75  85\n",
      "  89 105 115]\n",
      "image # 1207, layer # layer2.3.relu has outliers [  2  15  18  20  31  33  37  44  45  52  58  59  65  75  83  96 105 121]\n",
      "image # 1250, layer # layer2.3.relu has outliers [  2  13  15  17  18  20  31  33  44  45  53  58  65  75  83  85 105 115\n",
      " 121]\n",
      "image # 1285, layer # layer2.3.relu has outliers [  2   5  13  16  17  20  31  33  44  45  48  52  53  59  65  68  75  77\n",
      "  83  87  96 105]\n",
      "image # 1296, layer # layer2.3.relu has outliers [  1   2  13  18  20  31  33  45  52  53  59  65  75  76  77  78  83  85\n",
      "  86  89 105 115]\n",
      "image # 1382, layer # layer2.3.relu has outliers [  2  12  13  15  18  20  29  31  37  39  44  45  52  58  65  69  75  77\n",
      "  85  87 105 115]\n",
      "image # 1392, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  39  45  58  59  60  65  75  85  87  89\n",
      " 105 115 121]\n",
      "image # 1451, layer # layer2.3.relu has outliers [  2  12  13  14  15  17  18  20  33  37  38  44  51  58  60  64  65  75\n",
      "  85  89 104 105 113 115]\n",
      "image # 1457, layer # layer2.3.relu has outliers [  2  13  16  17  20  31  33  39  45  53  58  65  75  85  87 105 115]\n",
      "image # 1520, layer # layer2.3.relu has outliers [  2   3   5  12  13  17  20  29  33  39  44  45  52  53  58  59  60  65\n",
      "  75  77  83  87 105]\n",
      "image # 1545, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  31  33  37  45  52  64  65  69  75  80  85  87\n",
      "  89 104 105 115]\n",
      "image # 1724, layer # layer2.3.relu has outliers [  2  13  16  17  18  20  33  37  39  45  58  64  65  75  78  87  89 105\n",
      " 113 115]\n",
      "image # 1777, layer # layer2.3.relu has outliers [  2   5  13  15  16  17  18  20  33  37  44  45  58  59  65  69  75  82\n",
      "  83  85  87 105 115]\n",
      "image # 1846, layer # layer2.3.relu has outliers [  1   2  13  15  16  17  20  33  52  53  58  59  64  65  75  78  85 105\n",
      " 113 115 121]\n",
      "image # 1864, layer # layer2.3.relu has outliers [  2  12  13  15  16  17  18  20  33  37  38  45  51  58  60  64  65  75\n",
      "  80  85  86  89 104 105 113 115 127]\n",
      "image # 1912, layer # layer2.3.relu has outliers [  2   5  12  13  15  16  17  33  44  45  52  58  59  60  64  65  69  75\n",
      "  87 105 113 121 127]\n",
      "image # 1969, layer # layer2.3.relu has outliers [  1   2  12  13  17  20  29  33  44  45  53  58  65  75  82  85 104 105\n",
      " 115]\n",
      "image # 1970, layer # layer2.3.relu has outliers [  1   2  15  17  18  20  31  33  45  52  53  58  59  65  75  76  78  83\n",
      "  85  89 105 127]\n",
      "image # 2006, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  45  53  58  59  65  75  83  86  89 104\n",
      " 105 115]\n",
      "image # 2025, layer # layer2.3.relu has outliers [  1   2  13  17  18  20  31  33  45  53  59  65  75  76  77  78  83  85\n",
      "  89 104 105]\n",
      "image # 2117, layer # layer2.3.relu has outliers [  2  12  13  14  17  18  20  31  33  37  38  45  51  58  65  75  86  89\n",
      " 104 105 115 127]\n",
      "image # 2269, layer # layer2.3.relu has outliers [  2   5  13  15  16  17  18  20  33  37  38  44  45  53  58  60  65  75\n",
      "  85  87 104 105 115]\n",
      "image # 2421, layer # layer2.3.relu has outliers [  2  12  13  14  17  20  33  37  44  45  51  52  57  64  65  75  89 104\n",
      " 105 115 127]\n",
      "image # 2524, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  37  38  39  45  51  58  60  65  75  84\n",
      "  85  87  89 104 105 115]\n",
      "image # 2530, layer # layer2.3.relu has outliers [  2  13  20  33  37  44  45  58  60  64  65  75  76  85  87 104 105 115]\n",
      "image # 2565, layer # layer2.3.relu has outliers [  2   5  12  13  15  17  20  29  33  37  52  58  65  75 105 107 115 121]\n",
      "image # 2635, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  33  37  38  44  45  51  60  64  65  75  89 104\n",
      " 105 115 127]\n",
      "image # 2638, layer # layer2.3.relu has outliers [  2  13  17  20  33  37  38  45  52  58  59  64  65  75  87 104 105 115]\n",
      "image # 2727, layer # layer2.3.relu has outliers [  2  13  16  17  18  20  33  39  45  53  58  59  60  64  65  69  75  85\n",
      "  87 105 115]\n",
      "image # 2817, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  37  45  53  58  65  75  87 101 104 105 115]\n",
      "image # 2937, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  39  44  45  52  58  60  64  65  75\n",
      "  80  85  87 105 113 115]\n",
      "image # 2942, layer # layer2.3.relu has outliers [  2  11  12  13  17  31  33  37  45  53  58  59  60  64  65  77  87 104\n",
      " 105]\n",
      "image # 2962, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  31  33  37  44  45  52  53  65  75  77  89\n",
      " 104 105 115 127]\n",
      "image # 3065, layer # layer2.3.relu has outliers [  1   2  13  17  18  31  33  37  39  45  53  58  59  65  66  75  76  77\n",
      "  78  89 105 115 121]\n",
      "image # 3147, layer # layer2.3.relu has outliers [  1   2  15  17  18  20  31  33  44  45  52  53  58  59  65  69  75  76\n",
      "  77  78  85 105]\n",
      "image # 3287, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  37  39  44  45  51  52  60  65  68  69\n",
      "  75  76  77  87  89 104 105 108 115]\n",
      "image # 3395, layer # layer2.3.relu has outliers [  2  12  13  15  16  18  31  33  37  38  39  58  60  64  65  75  85  87\n",
      "  89 105 115 121]\n",
      "image # 3643, layer # layer2.3.relu has outliers [  2   5  12  13  15  18  20  33  45  52  58  64  65  75 105 115 121]\n",
      "image # 3811, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  51  52  58  65  75  84  89 104 105\n",
      " 115]\n",
      "image # 3846, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  37  44  45  51  53  58  65  75  89\n",
      " 104 105 115]\n",
      "image # 3930, layer # layer2.3.relu has outliers [  2  13  20  33  37  44  45  65  75  87  89 105 113]\n",
      "image # 3953, layer # layer2.3.relu has outliers [  2   5  12  13  15  17  20  31  33  37  38  44  45  58  60  64  65  75\n",
      "  87 104 105 115 121]\n",
      "image # 4002, layer # layer2.3.relu has outliers [  2  13  17  20  31  33  45  52  58  75  83  85 104 105 115 122]\n",
      "image # 4014, layer # layer2.3.relu has outliers [  1   2  13  18  31  33  39  53  59  64  76  77  78  87 105 113]\n",
      "image # 4064, layer # layer2.3.relu has outliers [  2  12  13  17  20  29  31  33  37  44  45  51  53  58  65  69  75  85\n",
      "  89 104 105 115]\n",
      "image # 4078, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  29  31  33  37  39  44  45  52  53  59  65\n",
      "  75  89 104 105 115 127]\n",
      "image # 4100, layer # layer2.3.relu has outliers [  2  12  13  17  20  29  31  33  37  44  45  52  53  59  60  65  68  69\n",
      "  75  85  87  89 104 105 115]\n",
      "image # 4115, layer # layer2.3.relu has outliers [  2  13  17  18  20  33  37  38  39  45  58  65  75  76  87  89 104 105\n",
      " 115]\n",
      "image # 4256, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  37  38  44  45  64  65  75  77  85  87\n",
      " 104 105 115]\n",
      "image # 4317, layer # layer2.3.relu has outliers [  1   2  12  13  17  18  20  31  33  37  45  64  65  69  75  83  85  89\n",
      " 104 105 113 115]\n",
      "image # 4342, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  45  52  58  65  69  75  76  78  85\n",
      "  87  89 105 115 121]\n",
      "image # 4374, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  44  45  52  58  59  64  65  69  75 104\n",
      " 105 115]\n",
      "image # 4388, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  45  51  64  65  75  86  89 104 105\n",
      " 115 127]\n",
      "image # 4392, layer # layer2.3.relu has outliers [  2  12  13  16  17  18  20  33  37  45  51  53  58  64  65  75  82  85\n",
      "  89 105 115]\n",
      "image # 4452, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  33  37  39  44  45  50  51  65  75  76  87\n",
      "  89 104 105 115 127]\n",
      "image # 4484, layer # layer2.3.relu has outliers [  2   5  13  14  17  20  29  31  33  37  39  45  53  58  59  75 105 115]\n",
      "image # 4509, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  37  38  39  45  53  58  59  65  75  85 105\n",
      " 115]\n",
      "image # 4564, layer # layer2.3.relu has outliers [  1   2  13  15  17  18  29  31  37  52  58  65  75  76  78  85  89 105\n",
      " 115 121]\n",
      "image # 4804, layer # layer2.3.relu has outliers [  2  12  13  14  17  20  31  33  37  39  44  45  51  64  65  69  75  77\n",
      "  87 104 105 115]\n",
      "image # 4833, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  45  52  58  65  69  75  87  89 104 105\n",
      " 115]\n",
      "image # 4896, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  37  44  45  53  58  65  69  75  83 104\n",
      " 105]\n",
      "image # 4933, layer # layer2.3.relu has outliers [  2  12  13  14  15  17  18  20  31  33  37  45  51  58  65  75  85 104\n",
      " 105 115 121]\n",
      "image # 5018, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  29  31  33  37  38  52  58  65  69  75  76  83\n",
      "  85  87  89 105 115 121]\n",
      "image # 5049, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  37  44  45  52  53  59  64  65  75 105 113\n",
      " 115]\n",
      "image # 5193, layer # layer2.3.relu has outliers [  2   5  12  13  14  15  17  20  31  33  37  45  51  57  65  75  86  89\n",
      " 104 105 115 127]\n",
      "image # 5244, layer # layer2.3.relu has outliers [  2  12  13  17  20  33  37  39  44  45  58  59  64  65  69  75  85  87\n",
      " 104 105 113 115]\n",
      "image # 5434, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  39  44  45  58  60  64  65  69  75  85\n",
      "  87 104 105 113 115]\n",
      "image # 5518, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  37  38  39  45  58  60  65  75  84  87  89\n",
      " 104 105 115]\n",
      "image # 5533, layer # layer2.3.relu has outliers [  1  13  17  18  20  31  33  45  52  53  59  75  76  77  78  85  90 105\n",
      " 113 121]\n",
      "image # 5576, layer # layer2.3.relu has outliers [  2   5  13  15  17  20  31  33  37  39  44  45  52  53  58  59  65  75\n",
      "  85  87  96 105 115]\n",
      "image # 5611, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  29  31  33  37  45  58  59  65  75  78  89 104\n",
      " 105 115]\n",
      "image # 5633, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  33  37  39  44  45  51  53  58  64  65  69  75\n",
      "  84  85  89 104 105 115]\n",
      "image # 5727, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  33  37  45  51  58  60  64  65  75  86  89 104\n",
      " 105 115]\n",
      "image # 5805, layer # layer2.3.relu has outliers [  2   5   9  12  13  17  20  33  37  45  58  64  65  75  78  85  87 105\n",
      " 113 115 125]\n",
      "image # 5820, layer # layer2.3.relu has outliers [  2  12  13  14  17  20  33  37  39  45  51  58  60  64  65  75  87 104\n",
      " 105 113 115]\n",
      "image # 5902, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  44  45  51  52  58  60  64  65  75  76\n",
      "  85  96 104 105 115]\n",
      "image # 5988, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  37  45  51  52  58  65  69  75  76  85  87\n",
      "  89 104 105 115]\n",
      "image # 6046, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  39  44  45  53  58  59  60  65  69  75\n",
      " 104 105]\n",
      "image # 6114, layer # layer2.3.relu has outliers [  1  13  16  17  18  20  31  33  39  45  53  58  59  65  75  76  78  85\n",
      " 105 107 115]\n",
      "image # 6237, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  31  33  37  38  45  52  53  58  59  65  75  78\n",
      "  87 104 105 115 121]\n",
      "image # 6249, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  31  33  37  45  58  59  64  65  75  87 104 105\n",
      " 115]\n",
      "image # 6285, layer # layer2.3.relu has outliers [  2  12  13  20  29  31  33  37  38  44  45  52  58  59  65  69  75  76\n",
      "  83  87  89 105 113 115 121]\n",
      "image # 6346, layer # layer2.3.relu has outliers [ 13  15  17  20  31  33  38  45  51  52  64  65  75  76  78  89  96 104\n",
      " 105 113 115 127]\n",
      "image # 6426, layer # layer2.3.relu has outliers [  2   5  13  15  17  18  20  31  33  37  45  58  59  65  75  76  90 105\n",
      " 115]\n",
      "image # 6436, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  37  44  45  51  58  65  75  76  85\n",
      "  89 104 105 115]\n",
      "image # 6499, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  37  51  58  63  64  65  75  89 104\n",
      " 105 115 121]\n",
      "image # 6513, layer # layer2.3.relu has outliers [  2  13  17  18  20  33  37  38  39  45  51  58  64  65  75  85  87  89\n",
      " 104 105 113 115]\n",
      "image # 6614, layer # layer2.3.relu has outliers [  2  11  13  17  20  33  37  39  45  58  59  65  69  75  76  87 104 105\n",
      " 115]\n",
      "image # 6747, layer # layer2.3.relu has outliers [  2   5  12  13  15  17  20  33  37  44  45  53  58  65  75 104 105 115]\n",
      "image # 6824, layer # layer2.3.relu has outliers [  2  13  17  20  33  37  39  44  45  53  58  59  63  64  65  69  75  87\n",
      " 104 105 113]\n",
      "image # 6908, layer # layer2.3.relu has outliers [  2  13  16  17  20  33  37  44  45  53  60  65  75  77 105]\n",
      "image # 6931, layer # layer2.3.relu has outliers [  2  13  16  17  18  20  33  37  38  39  44  45  58  59  64  65  75  83\n",
      "  85 105 113 115]\n",
      "image # 6972, layer # layer2.3.relu has outliers [  2  13  17  20  31  33  39  44  45  52  58  75  77  78  87 102 105 113\n",
      " 115]\n",
      "image # 6974, layer # layer2.3.relu has outliers [  2  13  17  18  20  33  37  38  45  51  58  59  60  65  69  75  83  85\n",
      "  86  87  89 104 105 115]\n",
      "image # 7114, layer # layer2.3.relu has outliers [  2   5  12  13  15  17  18  20  31  33  37  39  45  51  60  65  75  77\n",
      "  85  89 104 105 115 127]\n",
      "image # 7232, layer # layer2.3.relu has outliers [  2   5  12  13  15  18  31  33  37  38  45  51  58  60  64  65  75  84\n",
      "  86  87 104 105 115 121]\n",
      "image # 7243, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  44  45  58  59  65  69  75  82 104 105 115]\n",
      "image # 7310, layer # layer2.3.relu has outliers [ 12  13  15  17  18  20  31  33  37  38  45  51  53  64  65  75  85  89\n",
      " 104 105 115 127]\n",
      "image # 7357, layer # layer2.3.relu has outliers [  2   5  12  13  16  17  20  33  37  39  44  45  51  53  58  60  64  65\n",
      "  75  77  87 105 115]\n",
      "image # 7370, layer # layer2.3.relu has outliers [  2  13  17  20  31  33  37  44  45  58  59  71  75  76  84  87 104 105\n",
      " 115]\n",
      "image # 7385, layer # layer2.3.relu has outliers [  2  12  13  14  15  17  18  20  31  33  37  39  45  53  58  60  64  65\n",
      "  75  80  84  85 104 105 115 121]\n",
      "image # 7416, layer # layer2.3.relu has outliers [  1   2  13  15  17  18  20  31  33  51  52  64  65  75  76  80  89 104\n",
      " 105 115 121 127]\n",
      "image # 7494, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  31  33  37  38  44  45  52  59  65  69  75  85\n",
      "  89 104 105 115]\n",
      "image # 7504, layer # layer2.3.relu has outliers [  2   5  13  17  20  33  37  45  58  59  64  65  75  85  87 104 105 115]\n",
      "image # 7515, layer # layer2.3.relu has outliers [  1   2  12  13  17  18  20  33  37  39  44  45  51  53  58  65  75  76\n",
      "  85  89 104 105 115]\n",
      "image # 7659, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  38  45  51  64  65  75  87  89 104\n",
      " 105 113 115]\n",
      "image # 7725, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  39  45  51  53  58  60  65  75  85\n",
      "  86  89 104 105 115]\n",
      "image # 7781, layer # layer2.3.relu has outliers [  2   8  12  13  16  17  20  31  33  37  45  58  60  64  65  68  69  75\n",
      "  76  77  87  89 105]\n",
      "image # 7828, layer # layer2.3.relu has outliers [  2  12  13  17  18  31  33  37  44  45  59  60  64  65  75  87 104 105\n",
      " 115 127]\n",
      "image # 7915, layer # layer2.3.relu has outliers [  2   5  12  13  15  17  20  31  33  44  45  52  58  64  65  75  78  85\n",
      "  87  89 105 113 115 121]\n",
      "image # 7933, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  39  45  64  65  75  77  87 104 105 115]\n",
      "image # 7969, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  31  33  37  45  51  58  65  69  75  85  87  89\n",
      " 104 105 115]\n",
      "image # 8081, layer # layer2.3.relu has outliers [  2  12  13  17  20  31  33  37  44  45  51  58  59  64  65  75  87  89\n",
      " 104 105 113]\n",
      "image # 8135, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  37  38  44  45  53  58  59  65  69  75\n",
      "  89 104 105 115]\n",
      "image # 8138, layer # layer2.3.relu has outliers [  2  12  13  14  16  17  20  33  37  44  45  51  53  58  60  64  65  75\n",
      "  77  87 105 115]\n",
      "image # 8161, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  37  39  45  51  58  59  60  65  75  80\n",
      "  83  86  87 104 105 115]\n",
      "image # 8174, layer # layer2.3.relu has outliers [  2   5  13  17  20  33  37  44  45  53  58  75  78  85 105 113]\n",
      "image # 8253, layer # layer2.3.relu has outliers [  1   2  13  17  20  31  33  37  44  53  58  59  64  65  75  76  78 105\n",
      " 113 115 121]\n",
      "image # 8273, layer # layer2.3.relu has outliers [  2   9  12  13  17  20  31  33  37  44  45  51  53  60  64  65  75  84\n",
      "  85  87  89 104 105 115]\n",
      "image # 8342, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  37  44  45  53  58  59  65  69  75  85  87\n",
      "  89 104 105]\n",
      "image # 8353, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  31  33  37  39  44  45  53  58  60  64  65\n",
      "  75  87 104 105 115 121]\n",
      "image # 8358, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  31  33  37  38  45  53  58  65  75  85  89\n",
      " 104 105 121]\n",
      "image # 8372, layer # layer2.3.relu has outliers [  2  12  13  17  31  33  37  39  44  45  51  58  59  60  63  65  75  87\n",
      "  89 104 105 115]\n",
      "image # 8535, layer # layer2.3.relu has outliers [  2  13  17  18  29  31  33  37  44  45  48  52  58  60  65  69  73  75\n",
      "  82  85  87 104 105 115]\n",
      "image # 8544, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  31  33  37  45  51  53  58  63  64  65  75  85\n",
      "  87 104 105 115]\n",
      "image # 8612, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  33  37  39  45  58  64  65  75  87 104 105\n",
      " 113 115]\n",
      "image # 8717, layer # layer2.3.relu has outliers [  1   2  13  17  18  20  31  33  37  45  53  64  65  75  76  77  78 104\n",
      " 105 113 115 127]\n",
      "image # 8755, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  33  37  39  45  58  60  65  75  87  89 104 105\n",
      " 115]\n",
      "image # 8800, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  37  39  51  53  58  59  65  69  75  76  83\n",
      "  85  87  89 105 115]\n",
      "image # 8909, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  37  39  44  45  58  64  65  75 104 105 113\n",
      " 115]\n",
      "image # 8923, layer # layer2.3.relu has outliers [  1   2  13  15  17  18  20  31  33  37  45  53  58  59  65  75  76  77\n",
      "  78  85 105 115 121]\n",
      "image # 8930, layer # layer2.3.relu has outliers [  1   2   5  12  13  15  20  31  33  37  45  51  52  53  58  59  64  65\n",
      "  75  89 105 113 115]\n",
      "image # 8933, layer # layer2.3.relu has outliers [  2  13  17  18  20  33  37  44  45  53  58  59  60  65  69  75  85 105\n",
      " 115 127]\n",
      "image # 8996, layer # layer2.3.relu has outliers [  2  12  13  15  18  31  33  37  39  45  58  59  60  64  65  75  76  84\n",
      "  85  86  87  89 105 107 115 121]\n",
      "image # 9047, layer # layer2.3.relu has outliers [  2  12  13  16  17  18  20  33  37  39  44  51  58  64  65  75  76  78\n",
      "  85  87  89 104 105 113 115]\n",
      "image # 9111, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  44  45  52  53  65  69  73  75  76  83\n",
      "  85  89 104 105 127]\n",
      "image # 9208, layer # layer2.3.relu has outliers [  2  11  12  13  17  18  20  33  37  39  45  51  58  60  64  65  75  85\n",
      "  87  89 104 105 115]\n",
      "image # 9320, layer # layer2.3.relu has outliers [  2  12  13  17  20  29  33  37  44  45  52  53  58  59  60  65  75  96\n",
      " 104 105]\n",
      "image # 9333, layer # layer2.3.relu has outliers [  1   2  12  13  14  17  18  20  33  37  39  44  45  51  58  60  65  75\n",
      "  76  77  78  85  87 104 105 113 115]\n",
      "image # 9585, layer # layer2.3.relu has outliers [  2   5  12  13  15  20  33  37  38  39  45  58  60  64  65  75  85  87\n",
      " 104 105 113 121]\n",
      "image # 9597, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  44  45  51  52  64  65  75  76  89\n",
      " 104 105 113 115 127]\n",
      "image # 9598, layer # layer2.3.relu has outliers [  2   5  11  12  13  16  17  18  20  33  37  39  44  45  51  60  64  65\n",
      "  75  77  87 104 105 113]\n",
      "image # 9611, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  29  33  37  39  44  45  58  59  64  65  69\n",
      "  75  76  85  87 104 105 115]\n",
      "image # 9655, layer # layer2.3.relu has outliers [  2   5   9  12  13  17  31  33  37  45  51  58  59  60  64  65  75  85\n",
      "  87 104 105 115]\n",
      "image # 9716, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  29  31  33  37  52  58  60  64  65  75  85\n",
      "  87 104 105 115 121]\n",
      "image # 9807, layer # layer2.3.relu has outliers [  2  12  13  15  16  17  18  20  33  37  39  44  45  51  58  60  64  65\n",
      "  69  75  77  85  87 104 105 115 121]\n",
      "image # 9854, layer # layer2.3.relu has outliers [  1   2  12  13  17  18  20  31  33  37  44  45  51  53  58  65  75  76\n",
      "  84  85 104 105 115]\n",
      "image # 9870, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  31  33  37  44  51  52  59  64  65  69  75  89\n",
      " 104 105 113 115 127]\n",
      "image # 9914, layer # layer2.3.relu has outliers [  1   2  12  13  17  20  31  33  37  44  45  53  65  69  75  76  85  89\n",
      " 104 105 115]\n",
      "image # 9937, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  33  37  44  45  53  58  64  65  75 104 105\n",
      " 113 115]\n",
      "image # 10055, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  44  45  53  58  59  75 104 105 115]\n",
      "image # 10087, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  33  37  38  44  45  53  58  60  64  65  75\n",
      "  87 104 105 113]\n",
      "image # 10129, layer # layer2.3.relu has outliers [  2   5  12  13  17  20  29  33  37  45  58  60  64  65  75  87 104 105\n",
      " 115 127]\n",
      "image # 10156, layer # layer2.3.relu has outliers [  2  12  13  17  20  33  37  38  44  45  51  53  58  64  65  75  85 104\n",
      " 105 113 115]\n",
      "image # 10193, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  33  37  39  44  45  58  59  60  64  65  75  76\n",
      "  87 104 105]\n",
      "image # 10209, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  33  37  38  39  45  58  60  65  75  76  85\n",
      "  87 104 105 121]\n",
      "image # 10225, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  31  33  37  45  51  53  58  65  75  84  86  87\n",
      "  89 104 105 115 121]\n",
      "image # 10251, layer # layer2.3.relu has outliers [  2  11  12  13  17  20  31  33  37  45  51  60  65  75  76  87 104 105\n",
      " 115]\n",
      "image # 10259, layer # layer2.3.relu has outliers [  2  13  17  18  20  33  37  39  44  45  51  58  65  69  75  76  78  85\n",
      " 104 105 115]\n",
      "image # 10263, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  33  37  38  45  58  64  65  75  87 104 105 113\n",
      " 115]\n",
      "image # 10269, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  33  39  45  53  58  59  64  65  69  75  76  78\n",
      "  80  84  89 105 115]\n",
      "image # 10273, layer # layer2.3.relu has outliers [  2  13  17  18  20  33  37  39  45  58  60  64  65  75  77  78  85  87\n",
      "  89 104 105 113 115]\n",
      "image # 10297, layer # layer2.3.relu has outliers [  2  12  13  16  17  20  33  37  44  45  58  64  65  69  75  76  77  78\n",
      "  85  87 105 113]\n",
      "image # 10343, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  33  37  44  45  53  58  59  60  64  65  75  96\n",
      " 105 113 115]\n",
      "image # 10377, layer # layer2.3.relu has outliers [  1   2   5  13  17  20  31  33  37  39  58  59  65  75  76  83  89 105\n",
      " 115]\n",
      "image # 10385, layer # layer2.3.relu has outliers [  2   5  12  13  17  18  20  31  33  37  39  44  45  51  59  60  64  65\n",
      "  75  87 104 105 115]\n",
      "image # 10398, layer # layer2.3.relu has outliers [ 13  17  18  20  33  37  38  39  44  45  51  53  58  59  64  75  85  87\n",
      "  89 105 115 121]\n",
      "image # 10418, layer # layer2.3.relu has outliers [  2  12  13  15  17  20  33  37  44  45  52  58  69  75  87 105 115]\n",
      "image # 10513, layer # layer2.3.relu has outliers [  2  13  17  18  20  31  33  37  45  51  58  60  64  65  75  85  87 104\n",
      " 105 115]\n",
      "image # 10524, layer # layer2.3.relu has outliers [  1   2  13  17  18  20  31  33  37  45  53  58  59  65  75  76  77  78\n",
      "  85 105 113 115]\n",
      "image # 10705, layer # layer2.3.relu has outliers [  2  12  13  15  17  18  20  29  31  33  37  38  44  45  52  53  58  59\n",
      "  60  65  75  80 105 115]\n",
      "image # 10817, layer # layer2.3.relu has outliers [  2  12  13  14  17  18  20  31  33  37  45  51  60  65  69  75  76  87\n",
      "  89 104 105 115 127]\n",
      "image # 10818, layer # layer2.3.relu has outliers [  2   5  13  17  18  20  31  33  37  38  45  58  64  75  76  85  89 104\n",
      " 105 113 115 127]\n",
      "image # 10821, layer # layer2.3.relu has outliers [  2  12  15  20  29  33  39  44  45  52  58  59  63  65  75  76  80  83\n",
      "  85  87 105 115 121]\n",
      "image # 10866, layer # layer2.3.relu has outliers [  2  12  13  17  18  20  33  37  44  45  51  53  59  65  75  77  85  87\n",
      "  89 104 105 115]\n",
      "image # 10946, layer # layer2.3.relu has outliers [  2  13  15  17  18  20  31  33  37  39  44  45  53  65  75  76  78  87\n",
      " 104 105 107 115]\n",
      "layer layer3.0.relu\n",
      "image # 130, layer # layer3.0.relu has outliers [  0   8  15  22  23  43  44  47  54  57  71  72  79  84  87  90  95 101\n",
      " 121 126 133 146 150 156 159 161 166 179 197 198 208 227 228 231 234 241\n",
      " 245 251]\n",
      "image # 135, layer # layer3.0.relu has outliers [  0  22  40  46  47  54  68  87  88  91 104 107 121 126 131 140 159 162\n",
      " 166 172 177 179 180 196 197 209 210 231 234 241 245 251]\n",
      "image # 250, layer # layer3.0.relu has outliers [  0   1  22  31  44  47  51  54  64  81  90  94 101 103 123 126 132 140\n",
      " 161 166 177 186 187 189 197 206 207 209 224 225 230 231 234 241 245 251]\n",
      "image # 383, layer # layer3.0.relu has outliers [  0  19  22  43  47  55  63  64  73  79  81  84  90 106 107 110 126 139\n",
      " 140 148 156 162 166 172 177 179 180 186 188 191 196 197 224 228 231 234\n",
      " 241]\n",
      "image # 399, layer # layer3.0.relu has outliers [  0  18  22  31  43  47  57  84  90  95 101 106 121 139 140 146 156 161\n",
      " 164 165 166 172 180 197 210 213 221 226 228 232 234 241 250 251]\n",
      "image # 519, layer # layer3.0.relu has outliers [  0  19  22  47  53  64  84  87  90  95  97 106 110 131 140 144 146 151\n",
      " 161 166 169 186 187 197 204 206 221 229 234 238 241 245 251]\n",
      "image # 540, layer # layer3.0.relu has outliers [ 14  17  22  28  38  43  47  54  63  79  81  83  87  90  95 101 103 112\n",
      " 118 126 132 139 146 148 159 161 162 166 170 172 179 186 196 209 213 225\n",
      " 231 234 241 245 251]\n",
      "image # 551, layer # layer3.0.relu has outliers [  0  11  19  23  43  44  47  84  90  95 110 118 121 131 132 133 140 142\n",
      " 146 150 151 159 161 164 166 172 180 186 188 197 206 208 227 228 229 231\n",
      " 234 241 251]\n",
      "image # 579, layer # layer3.0.relu has outliers [  0  19  47  51  54  55  57  64  84  87  91 104 121 126 144 148 150 156\n",
      " 159 161 162 166 179 180 186 197 209 213 224 225 228 231 234 241 245 251]\n",
      "image # 739, layer # layer3.0.relu has outliers [  0   1  18  19  22  36  47  54  55  64  81  87  91  95  97 101 102 104\n",
      " 106 121 126 129 139 156 161 162 166 179 180 186 187 197 206 207 209 225\n",
      " 228 234 241 245 251]\n",
      "image # 751, layer # layer3.0.relu has outliers [  0  14  15  22  28  36  43  47  54  57  79  88 104 106 121 139 140 146\n",
      " 158 161 162 166 172 179 180 187 189 196 197 210 226 231 234 241 251]\n",
      "image # 818, layer # layer3.0.relu has outliers [  0  43  47  52  55  79  84  88  90  95 106 111 118 121 126 140 146 148\n",
      " 156 161 164 166 172 177 179 180 188 196 197 211 213 224 228 231 232 234\n",
      " 236 241 251]\n",
      "image # 821, layer # layer3.0.relu has outliers [  0  19  22  43  47  79  81  84  87 106 112 126 140 144 148 151 156 161\n",
      " 166 172 179 180 187 196 200 209 225 228 229 231 234 241 245 251]\n",
      "image # 878, layer # layer3.0.relu has outliers [  0  23  44  47  54  55  84  94 101 111 121 140 144 150 156 159 161 166\n",
      " 180 197 208 210 231 234 241 251]\n",
      "image # 907, layer # layer3.0.relu has outliers [  0   8  23  24  43  44  47  54  64  84  90 103 118 123 129 133 145 150\n",
      " 159 161 177 180 186 191 196 197 200 209 220 224 228 231 234 241 251 255]\n",
      "image # 1042, layer # layer3.0.relu has outliers [ 12  22  34  47  54  91  95 104 118 121 140 146 159 161 162 166 179 180\n",
      " 186 187 189 196 197 211 215 221 234 241 251]\n",
      "image # 1134, layer # layer3.0.relu has outliers [  0  22  44  47  54  55  84  90 101 111 140 141 144 146 150 156 161 164\n",
      " 166 185 196 197 213 227 231 234 241 251]\n",
      "image # 1195, layer # layer3.0.relu has outliers [  0   1  22  43  47  64  79  81  84  87 101 106 111 112 118 121 126 129\n",
      " 132 139 140 144 148 156 158 161 162 165 166 179 180 188 189 198 209 213\n",
      " 225 228 230 231 234 241 245 247 251]\n",
      "image # 1207, layer # layer3.0.relu has outliers [ 22  26  54  63  64  74  79  84  85  90 104 118 121 126 132 139 146 148\n",
      " 151 152 156 162 179 186 196 213 216 231 234 236 239 241]\n",
      "image # 1250, layer # layer3.0.relu has outliers [  0   1  14  22  24  47  51  54  74 104 112 121 126 132 146 156 159 161\n",
      " 162 165 166 179 186 187 189 197 201 209 215 216 225 231 234 238 241 251]\n",
      "image # 1285, layer # layer3.0.relu has outliers [  2  26  43  47  54  72  79  84  88  90 112 121 126 132 133 146 150 151\n",
      " 156 159 166 179 180 188 197 208 216 227 231 234 241 251]\n",
      "image # 1296, layer # layer3.0.relu has outliers [  0   7  11  19  44  54  63  79  81  84  90  94 111 118 121 122 126 132\n",
      " 139 140 146 150 151 159 161 166 170 180 191 197 208 209 215 231 234 241\n",
      " 251 253]\n",
      "image # 1382, layer # layer3.0.relu has outliers [  0   7  22  24  26  28  47  50  53  54  64  79  84  85  88  90  95  97\n",
      " 123 126 129 132 133 140 144 151 156 159 166 172 180 187 196 229 234 241\n",
      " 251]\n",
      "image # 1392, layer # layer3.0.relu has outliers [  0  14  18  22  28  54  79  81  84  88  90  95  97 101 104 106 112 121\n",
      " 126 129 139 148 156 162 179 180 196 197 215 216 220 225 228 231 234 241\n",
      " 251]\n",
      "image # 1451, layer # layer3.0.relu has outliers [  0  18  19  22  43  47  55  64  76  79  88 106 110 112 118 126 129 140\n",
      " 144 161 166 172 177 179 180 187 206 209 221 224 225 228 229 232 234 241\n",
      " 247 251 255]\n",
      "image # 1457, layer # layer3.0.relu has outliers [  2   4  22  47  54  64  72  85  91 103 104 112 121 133 146 148 156 159\n",
      " 162 165 166 168 172 180 186 187 197 209 215 228 231 234 241 251]\n",
      "image # 1520, layer # layer3.0.relu has outliers [ 22  24  47  54  87  90  91 103 121 132 133 144 150 159 161 166 172 179\n",
      " 180 185 189 197 200 207 208 229 231 234 241 242 245 251]\n",
      "image # 1545, layer # layer3.0.relu has outliers [  0  14  19  22  43  47  76  79  84  88  90 101 118 126 133 139 140 144\n",
      " 150 156 161 166 179 185 196 197 216 228 232 234 241 245 251]\n",
      "image # 1724, layer # layer3.0.relu has outliers [  0   9  18  43  44  47  54  55  64  84  87  90 103 118 121 150 156 159\n",
      " 161 166 177 187 188 191 197 209 210 224 228 231 234 241]\n",
      "image # 1777, layer # layer3.0.relu has outliers [  0   1   4  22  24  47  54  55  74  76  81  84  87 104 106 112 123 131\n",
      " 139 148 156 161 162 165 172 179 180 196 197 200 225 231 234 241 242 251]\n",
      "image # 1846, layer # layer3.0.relu has outliers [ 14  22  26  38  54  63  64  73  79  84  91  95 103 104 112 118 121 122\n",
      " 133 146 150 151 152 156 159 162 179 180 185 186 215 216 225 227 228 231\n",
      " 234 241]\n",
      "image # 1864, layer # layer3.0.relu has outliers [ 17  18  22  43  47  55  84  86 101 111 118 126 139 140 144 150 156 158\n",
      " 161 162 179 204 209 213 217 224 225 232 234 241 247 251]\n",
      "image # 1912, layer # layer3.0.relu has outliers [  1  14  38  43  44  47  55  57  86  90 101 104 111 121 130 132 133 141\n",
      " 144 146 150 156 158 159 161 162 165 186 196 197 205 213 221 224 229 231\n",
      " 241 251]\n",
      "image # 1969, layer # layer3.0.relu has outliers [  0   1  22  40  43  47  54  79  88  95 104 126 140 146 148 156 159 161\n",
      " 162 165 166 179 180 186 187 189 196 197 215 227 231 234 241 247 251]\n",
      "image # 1970, layer # layer3.0.relu has outliers [  0   7  11  12  14  15  22  51  54  62  63  64  74  79  84  85  90 111\n",
      " 118 121 122 139 146 148 151 159 161 162 165 166 186 187 189 196 213 216\n",
      " 227 231 234 241 251]\n",
      "image # 2006, layer # layer3.0.relu has outliers [  0   1  19  44  57  90 101 118 121 132 139 140 144 146 150 151 156 161\n",
      " 166 180 197 209 210 211 213 224 227 231 234 241 251]\n",
      "image # 2025, layer # layer3.0.relu has outliers [  0   7  14  19  22  43  47  79  84  90 101 106 111 118 121 122 139 140\n",
      " 146 147 150 151 159 161 162 166 174 180 188 196 197 231 234 241 251]\n",
      "image # 2117, layer # layer3.0.relu has outliers [  0   1  18  19  22  47  67  79  81  84  88 101 106 111 118 121 126 129\n",
      " 140 161 165 166 169 187 189 197 204 206 211 224 232 234 239 241 250 251]\n",
      "image # 2269, layer # layer3.0.relu has outliers [ 22  23  47  54  63  79  90  95 101 106 110 131 132 139 140 142 146 161\n",
      " 162 165 166 172 177 196 197 206 215 221 224 227 231 234 241 251 254]\n",
      "image # 2421, layer # layer3.0.relu has outliers [ 19  22  43  47  53  64  79  84  88  90 110 111 112 140 144 150 156 166\n",
      " 172 179 185 186 188 206 216 224 226 228 232 234 241 250 251]\n",
      "image # 2524, layer # layer3.0.relu has outliers [  0   1  22  47  63  88  97 121 139 140 161 162 165 166 172 179 180 187\n",
      " 197 209 210 211 221 224 234 241 245 251]\n",
      "image # 2530, layer # layer3.0.relu has outliers [  0  18  22  43  44  47  55  72  84  87  88 121 140 144 150 156 159 161\n",
      " 162 166 170 172 177 179 187 188 197 209 210 224 228 231 234 241 251]\n",
      "image # 2565, layer # layer3.0.relu has outliers [  0  12  14  22  26  28  38  47  54  83  85  87  91  95 103 104 105 112\n",
      " 121 126 144 148 155 156 162 165 166 179 180 186 187 207 209 213 215 225\n",
      " 228 230 231 234 241 251]\n",
      "image # 2635, layer # layer3.0.relu has outliers [  0  19  22  43  47  50  55  79  81  84  87  88 101 121 139 144 156 161\n",
      " 166 172 180 217 228 232 234 241 245 251]\n",
      "image # 2638, layer # layer3.0.relu has outliers [  0   2  18  22  43  47  55  72  84  87  88  90 111 118 133 140 150 156\n",
      " 159 161 166 177 179 180 185 188 196 197 215 227 228 231 234 241 251]\n",
      "image # 2727, layer # layer3.0.relu has outliers [  0  22  23  43  47  55  63  79  84  90  91  95 106 112 118 121 126 139\n",
      " 141 156 159 161 164 165 166 172 180 186 188 197 213 221 224 227 228 229\n",
      " 231 234 241 248 251]\n",
      "image # 2817, layer # layer3.0.relu has outliers [  0   8  22  23  40  44  47  54  91 104 106 107 110 121 134 159 161 165\n",
      " 166 168 169 177 180 197 206 215 221 224 231 234 241 244 251]\n",
      "image # 2937, layer # layer3.0.relu has outliers [  0  22  43  47  54  55  84  86  90 101 103 111 112 118 126 144 146 151\n",
      " 156 166 172 177 179 186 209 213 217 224 230 234 241 251]\n",
      "image # 2942, layer # layer3.0.relu has outliers [ 22  23  47  55  57  71  87  91  93 104 120 121 159 161 166 172 177 180\n",
      " 191 196 197 209 210 215 224 231 234 241 245 251]\n",
      "image # 2962, layer # layer3.0.relu has outliers [  0  14  19  22  43  47  53  63  64  74  79  84  90 101 111 118 122 133\n",
      " 139 140 144 146 150 151 156 161 164 166 172 180 185 187 188 189 197 213\n",
      " 216 228 234 241 251]\n",
      "image # 3065, layer # layer3.0.relu has outliers [  0   1   7  11  15  22  38  47  63  64  73  79  83  87 103 121 122 126\n",
      " 139 148 159 161 162 166 172 180 186 187 196 197 209 234 241 251]\n",
      "image # 3147, layer # layer3.0.relu has outliers [  7  14  15  22  63  64  73  79  83  84  85  90 111 112 118 121 122 139\n",
      " 146 148 151 152 159 161 162 166 172 180 186 187 213 231 234 236 241 251\n",
      " 253]\n",
      "image # 3287, layer # layer3.0.relu has outliers [  0   7   8  15  18  22  43  44  47  53  54  63  73  79  84  90  95 101\n",
      " 126 133 139 144 147 150 156 159 161 166 172 180 197 211 213 234 241 251]\n",
      "image # 3395, layer # layer3.0.relu has outliers [ 14  17  22  24  38  43  46  47  54  87  90  95 103 104 105 121 126 132\n",
      " 139 144 146 158 162 166 172 185 186 196 197 201 206 217 221 234 241 251]\n",
      "image # 3643, layer # layer3.0.relu has outliers [  0  14  22  28  44  47  54 121 126 139 146 152 158 161 162 180 185 186\n",
      " 197 209 213 221 227 229 231 234 241 251]\n",
      "image # 3811, layer # layer3.0.relu has outliers [  0  19  22  28  43  47  53  64  74  79  88  95 101 118 121 129 139 140\n",
      " 142 144 146 161 162 165 166 172 187 197 211 234 241 251]\n",
      "image # 3846, layer # layer3.0.relu has outliers [  0  19  22  43  47  79  81  84  87  88  90  95  97 106 107 118 121 126\n",
      " 140 150 158 161 166 179 180 188 189 196 197 204 206 209 228 232 234 241\n",
      " 245 250 251]\n",
      "image # 3930, layer # layer3.0.relu has outliers [  0   1   8  22  28  43  47  54  55  68  81  87  91  97 106 121 140 148\n",
      " 150 156 161 165 166 170 172 177 179 180 186 191 197 209 210 224 228 231\n",
      " 234 241 251]\n",
      "image # 3953, layer # layer3.0.relu has outliers [  1  14  22  43  47  55  88  90 101 121 132 134 141 144 146 161 162 164\n",
      " 165 166 174 177 179 186 196 197 210 213 217 221 227 234 241 245 251]\n",
      "image # 4002, layer # layer3.0.relu has outliers [  0   1  12  22  47  51  54  57  64  71  74  79  90  95 101 121 123 146\n",
      " 156 161 162 165 166 179 180 187 189 196 197 225 229 231 234 241 245 251]\n",
      "image # 4014, layer # layer3.0.relu has outliers [  1   8  11  22  23  47  54  63  73  87  90  91 104 107 120 121 122 123\n",
      " 159 162 165 166 177 180 186 191 197 209 221 228 231 234 241 248]\n",
      "image # 4064, layer # layer3.0.relu has outliers [  0   1   4  19  22  47  54  68  81  84  87  88  90  91  95  97 104 121\n",
      " 129 140 150 156 161 162 166 167 180 185 186 192 196 197 206 209 210 215\n",
      " 221 228 231 232 234 241 251]\n",
      "image # 4078, layer # layer3.0.relu has outliers [  0  12  14  22  26  43  47  51  54  64  67  72  74  79  84  90  95 101\n",
      " 111 118 132 133 139 140 142 144 146 150 151 156 159 161 162 164 166 172\n",
      " 179 180 187 189 196 197 213 215 216 227 229 231 234 241 251]\n",
      "image # 4100, layer # layer3.0.relu has outliers [  0  18  22  28  43  47  57  63  64  79  84  88  90 101 106 121 126 139\n",
      " 140 142 144 146 151 156 161 165 179 180 188 189 197 213 216 228 231 234\n",
      " 241 251]\n",
      "image # 4115, layer # layer3.0.relu has outliers [  0   7  11  22  23  47  54  64  95 104 106 110 139 140 161 162 166 172\n",
      " 174 177 179 187 196 197 206 215 221 224 227 231 234 241 251]\n",
      "image # 4256, layer # layer3.0.relu has outliers [  1  22  28  43  47  54  64  79  83  87  90  95 101 103 104 132 161 162\n",
      " 166 172 179 180 185 186 187 188 196 197 209 210 215 234 241 245 246 251]\n",
      "image # 4317, layer # layer3.0.relu has outliers [  0  19  22  28  47  68  79  81  88  97 104 106 118 121 139 140 156 161\n",
      " 166 172 177 179 180 189 224 225 228 232 234 241 251]\n",
      "image # 4342, layer # layer3.0.relu has outliers [  1  14  15  22  28  38  47  54  63  79  83  85 103 104 121 132 146 148\n",
      " 156 158 159 162 165 179 180 186 187 196 213 215 229 231 234 241 247 251]\n",
      "image # 4374, layer # layer3.0.relu has outliers [  0  14  18  22  28  43  47  51  54  64  79  84  88  90 101 111 118 126\n",
      " 133 139 140 144 156 159 161 162 166 179 180 187 196 197 206 213 231 234\n",
      " 241 251]\n",
      "image # 4388, layer # layer3.0.relu has outliers [  0  18  22  43  47  76  79  84  88  90 101 111 118 139 140 141 144 150\n",
      " 161 166 172 177 185 188 189 197 210 213 224 232 234 241 251]\n",
      "image # 4392, layer # layer3.0.relu has outliers [ 22  43  47  54  55  87  95 104 118 126 129 133 139 144 146 156 158 159\n",
      " 162 165 166 172 186 187 196 197 215 220 227 228 231 234 241 251]\n",
      "image # 4452, layer # layer3.0.relu has outliers [  0   7  15  19  22  47  74  79  84 101 106 112 140 147 161 165 166 172\n",
      " 180 186 187 189 197 200 206 215 216 221 226 228 234 238 241 247 251]\n",
      "image # 4484, layer # layer3.0.relu has outliers [ 22  24  47  54  68  81  91 104 106 121 126 129 140 148 159 161 165 166\n",
      " 177 179 180 186 189 197 200 207 209 230 231 234 241 251]\n",
      "image # 4509, layer # layer3.0.relu has outliers [  0  19  22  23  47  54  64  66  79  90  97 104 106 110 118 121 129 134\n",
      " 139 142 148 156 161 162 165 166 168 170 171 172 180 196 197 206 209 210\n",
      " 224 228 234 241 251]\n",
      "image # 4564, layer # layer3.0.relu has outliers [  0   4   5  14  17  22  25  26  28  35  38  54  64  79  81  83  87  90\n",
      " 103 104 105 121 122 126 132 133 144 146 151 156 158 162 179 186 196 209\n",
      " 213 215 241]\n",
      "image # 4804, layer # layer3.0.relu has outliers [ 19  22  28  29  43  47  54  55  63  74  87  90  97 121 156 161 162 166\n",
      " 172 177 179 180 186 187 189 190 196 197 204 209 221 224 234 241 245 251]\n",
      "image # 4833, layer # layer3.0.relu has outliers [  0   1   2  11  22  23  44  47  51  54  72  84  85  95 110 117 121 126\n",
      " 133 140 144 146 151 156 159 161 179 180 208 213 227 228 229 231 234 235\n",
      " 241 251]\n",
      "image # 4896, layer # layer3.0.relu has outliers [ 22  43  47  54  79  84  88  90  95 101 112 121 132 140 141 144 146 150\n",
      " 151 156 161 162 164 166 172 180 186 189 197 205 216 229 231 234 241 251]\n",
      "image # 4933, layer # layer3.0.relu has outliers [ 14  18  22  33  38  47  51 103 104 112 118 121 139 140 146 161 162 165\n",
      " 166 179 186 187 197 209 230 231 234 241 251]\n",
      "image # 5018, layer # layer3.0.relu has outliers [  0  14  15  17  22  24  28  38  43  47  64  83  85  88  95 101 121 132\n",
      " 144 146 148 152 162 169 172 179 180 186 189 196 213 221 226 227 234 241\n",
      " 246 251]\n",
      "image # 5049, layer # layer3.0.relu has outliers [  0  22  43  47  54  55  79  81  84  90 101 110 111 118 121 126 132 139\n",
      " 140 144 145 150 156 159 161 165 166 179 189 197 213 228 231 234 241 251]\n",
      "image # 5193, layer # layer3.0.relu has outliers [  0  18  19  47  64  66  81  84  97 106 110 111 118 126 129 140 142 144\n",
      " 151 161 166 180 186 187 189 204 206 209 216 228 232 234 241 250 251]\n",
      "image # 5244, layer # layer3.0.relu has outliers [ 14  15  19  22  23  43  47  54  55  64  72  79  87  90 104 112 121 146\n",
      " 159 161 162 166 172 177 180 185 186 188 196 197 209 221 224 228 231 234\n",
      " 241 245 251]\n",
      "image # 5434, layer # layer3.0.relu has outliers [  8   9  23  24  43  47  55  57  71  90 101 106 121 140 144 156 161 166\n",
      " 172 177 179 180 188 191 197 209 210 211 224 225 229 231 234 241 251]\n",
      "image # 5518, layer # layer3.0.relu has outliers [  0   1  19  22  36  47  54 101 106 110 139 140 160 161 165 166 169 170\n",
      " 172 179 180 187 189 210 215 221 226 231 234 241 251]\n",
      "image # 5533, layer # layer3.0.relu has outliers [  0   7  14  15  22  26  47  54  72  73  79  81  83  84  90 102 104 111\n",
      " 113 118 121 122 139 146 150 151 156 161 162 166 172 180 186 205 209 213\n",
      " 215 225 234 237 241 251]\n",
      "image # 5576, layer # layer3.0.relu has outliers [  0  14  22  43  44  47  51  54  84  87  90 103 104 112 121 133 146 150\n",
      " 156 159 161 164 166 179 180 185 188 196 197 213 227 228 231 234 241 251]\n",
      "image # 5611, layer # layer3.0.relu has outliers [  0  14  15  19  22  44  47  51  54  74  76  88  90  95 139 140 146 161\n",
      " 162 165 166 180 186 189 197 206 216 234 239 241 251]\n",
      "image # 5633, layer # layer3.0.relu has outliers [  0  43  44  47  51  55  84  90 102 106 111 118 121 139 140 141 146 150\n",
      " 158 161 164 166 172 177 186 197 209 221 224 226 232 234 241 251]\n",
      "image # 5727, layer # layer3.0.relu has outliers [  0  14  17  19  22  26  43  51  55  84  88 118 126 140 144 150 151 156\n",
      " 166 172 177 179 180 188 196 211 213 224 225 234 241 251]\n",
      "image # 5805, layer # layer3.0.relu has outliers [  0   1  22  24  47  54  55  74  81  87 103 104 105 112 121 126 148 156\n",
      " 159 161 165 166 170 172 177 179 180 186 187 197 200 206 207 209 231 234\n",
      " 241 251]\n",
      "image # 5820, layer # layer3.0.relu has outliers [ 22  23  24  38  43  47  54  55  87  91 101 103 112 134 144 156 161 166\n",
      " 172 177 186 196 197 210 215 217 224 231 234 241 245 251]\n",
      "image # 5902, layer # layer3.0.relu has outliers [  0  14  18  22  43  47  51  55  79  84  88 101 121 140 144 151 156 161\n",
      " 162 164 172 179 180 189 197 213 216 225 228 231 234 241 245 251]\n",
      "image # 5988, layer # layer3.0.relu has outliers [  8  15  18  22  43  47  53  54  68  72  84  88  90  95  97 102 106 121\n",
      " 140 150 156 159 162 165 166 172 179 180 186 188 197 209 210 215 216 228\n",
      " 231 232 234 241 251]\n",
      "image # 6046, layer # layer3.0.relu has outliers [ 22  43  47  48  51  74  79  84  88 101 121 132 139 140 144 150 151 156\n",
      " 161 162 172 180 188 189 197 210 213 216 231 234 239 241 242 247 251]\n",
      "image # 6114, layer # layer3.0.relu has outliers [  0   1   7  22  44  47  51  54  63  64  79 118 121 122 126 139 146 159\n",
      " 161 162 166 169 179 187 189 197 209 221 231 234 241]\n",
      "image # 6237, layer # layer3.0.relu has outliers [  0  14  22  26  28  43  47  54  64  67  79  83  87  88  90 112 121 126\n",
      " 133 140 146 151 156 158 161 162 166 179 180 196 209 213 215 229 231 234\n",
      " 241 245 251]\n",
      "image # 6249, layer # layer3.0.relu has outliers [  0  19  22  28  29  34  43  47  54  62  64  90  91 102 121 161 162 166\n",
      " 172 180 185 187 196 206 209 210 234 241 245 251]\n",
      "image # 6285, layer # layer3.0.relu has outliers [  1  15  19  22  28  43  47  54  64  67  90  95 121 126 132 140 146 148\n",
      " 151 152 162 164 166 171 172 179 180 186 187 189 209 210 221 229 234 241\n",
      " 251 255]\n",
      "image # 6346, layer # layer3.0.relu has outliers [  0  14  15  22  24  26  28  34  43  54  64  83  90  95 102 121 126 130\n",
      " 133 144 146 156 158 162 165 176 179 180 192 216 226 227 228 241 247]\n",
      "image # 6426, layer # layer3.0.relu has outliers [  0  18  19  22  24  26  47  51  54  79  81  84 104 106 112 118 121 126\n",
      " 129 139 140 150 151 156 161 162 165 166 167 172 179 186 188 197 205 209\n",
      " 213 224 225 228 231 234 241 251]\n",
      "image # 6436, layer # layer3.0.relu has outliers [  0  14  15  18  22  28  43  47  51  53  64  67  74  79  84  88 101 106\n",
      " 121 139 140 151 161 162 166 172 179 180 188 189 197 213 216 228 231 234\n",
      " 239 241 247 251]\n",
      "image # 6499, layer # layer3.0.relu has outliers [  0  14  19  22  28  34  43  47  54  55  62  79  81  87  95 104 118 121\n",
      " 126 129 156 161 162 166 172 180 186 209 228 234 241 245 247 251]\n",
      "image # 6513, layer # layer3.0.relu has outliers [  0   8  18  22  23  34  43  47  55  90 102 106 110 118 121 139 147 161\n",
      " 166 172 177 180 188 196 197 224 225 228 231 234 241 251]\n",
      "image # 6614, layer # layer3.0.relu has outliers [  8  19  22  44  47  54  95 104 106 110 112 121 140 159 161 166 167 172\n",
      " 177 180 186 188 197 200 228 231 234 241 245 251]\n",
      "image # 6747, layer # layer3.0.relu has outliers [  0  19  22  24  43  47  54  79  81  88 104 106 110 126 129 140 142 156\n",
      " 161 165 166 168 172 177 180 206 209 210 225 228 229 231 234 241 251]\n",
      "image # 6824, layer # layer3.0.relu has outliers [ 22  23  40  43  47  54  55  91 103 112 121 123 159 166 172 177 186 187\n",
      " 197 200 221 228 231 234 241 251]\n",
      "image # 6908, layer # layer3.0.relu has outliers [  0  19  22  26  43  47  54  79  81  84  90 101 132 140 142 144 148 150\n",
      " 151 156 161 166 172 179 180 188 198 208 209 216 224 228 231 234 241 242\n",
      " 245 251 254]\n",
      "image # 6931, layer # layer3.0.relu has outliers [  0  43  47  54  55  90 111 112 118 140 141 144 146 159 161 164 166 172\n",
      " 177 197 224 231 234 241 251 255]\n",
      "image # 6972, layer # layer3.0.relu has outliers [  0   1  14  22  28  47  54  56  57  68  90  91  95 102 103 121 132 148\n",
      " 159 162 165 166 172 179 180 186 197 209 215 221 229 231 234 241 251]\n",
      "image # 6974, layer # layer3.0.relu has outliers [  0  19  22  34  54  62  68  74  88  94  95  97 102 106 121 139 140 158\n",
      " 161 164 166 172 177 180 197 206 215 221 226 231 232 234 241 251]\n",
      "image # 7114, layer # layer3.0.relu has outliers [  0  17  18  19  22  43  47  64  79  81  84  90 101 106 111 112 118 121\n",
      " 126 129 139 140 142 146 147 161 165 166 179 186 187 189 197 204 209 213\n",
      " 232 234 241 247 251]\n",
      "image # 7232, layer # layer3.0.relu has outliers [ 14  17  18  22  28  38  43  47  55  87  88  90 101 104 121 126 144 146\n",
      " 158 161 162 165 179 180 186 196 204 210 213 217 221 224 234 241 247 251]\n",
      "image # 7243, layer # layer3.0.relu has outliers [  0   1  22  24  43  47  64  67  79  88 101 106 121 129 132 133 139 140\n",
      " 146 156 159 161 162 165 166 179 180 186 187 188 196 197 210 229 231 234\n",
      " 241 251]\n",
      "image # 7310, layer # layer3.0.relu has outliers [  0   1  11  19  22  34  43  47  51  62  84  90  95  97 101 102 106 118\n",
      " 121 130 139 140 141 144 146 158 161 166 185 189 197 205 206 209 213 221\n",
      " 224 228 234 241 245 250 251]\n",
      "image # 7357, layer # layer3.0.relu has outliers [ 16  22  43  47  54  55  81  84  90  91 101 102 104 112 126 150 156 159\n",
      " 166 167 172 177 179 180 186 197 209 215 228 231 234 241 245 251]\n",
      "image # 7370, layer # layer3.0.relu has outliers [  0  18  22  43  44  47  54  71  72  84  90 101 118 121 133 139 140 156\n",
      " 159 161 162 166 172 176 179 180 185 188 197 208 228 231 234 241 251]\n",
      "image # 7385, layer # layer3.0.relu has outliers [  0  17  22  43  47  88 101 118 121 126 129 139 140 144 146 158 161 165\n",
      " 166 179 209 210 234 241 251]\n",
      "image # 7416, layer # layer3.0.relu has outliers [  0  14  19  22  34  38  47  88  90 103 112 118 121 126 144 146 151 158\n",
      " 162 179 186 189 196 209 213 216 221 225 234 241 247 251]\n",
      "image # 7494, layer # layer3.0.relu has outliers [  0  22  43  47  64  74  79  84  85  90  95 118 121 133 139 146 150 151\n",
      " 156 159 161 162 164 166 169 172 180 185 186 188 197 213 216 227 229 231\n",
      " 234 241 251]\n",
      "image # 7504, layer # layer3.0.relu has outliers [ 18  23  44  47  54  55  72  85  87  90 101 104 107 110 111 121 126 150\n",
      " 156 159 161 165 177 179 180 186 188 197 210 224 231 234 241 251]\n",
      "image # 7515, layer # layer3.0.relu has outliers [  0   1   7  12  19  22  28  43  47  53  64  74  79  81  84  88 112 118\n",
      " 126 140 142 144 148 151 161 162 165 172 179 180 187 189 196 197 216 228\n",
      " 234 241 247 251]\n",
      "image # 7659, layer # layer3.0.relu has outliers [  0  18  19  22  24  43  47  55  76  84  86  90 101 106 110 111 118 139\n",
      " 140 141 144 161 165 166 172 177 185 186 187 196 197 204 206 224 228 234\n",
      " 241 251 255]\n",
      "image # 7725, layer # layer3.0.relu has outliers [  0  14  17  22  43  47  51  63  81  90 101 106 111 129 139 140 144 146\n",
      " 147 158 161 166 174 187 189 204 213 221 234 241 251]\n",
      "image # 7781, layer # layer3.0.relu has outliers [  1  15  19  28  47  54  55  63  64  68  87  95 101 103 104 106 121 132\n",
      " 144 148 156 158 161 162 165 166 177 179 180 186 187 191 209 221 228 231\n",
      " 234 241 251]\n",
      "image # 7828, layer # layer3.0.relu has outliers [  0  14  28  43  47  54  55  56  84  90  95 101 102 111 121 132 133 139\n",
      " 140 144 146 156 161 164 166 172 179 180 186 196 210 213 216 228 234 241\n",
      " 247 251]\n",
      "image # 7915, layer # layer3.0.relu has outliers [  0   1  19  22  43  47  54  79  87  90 101 121 129 132 144 146 156 161\n",
      " 162 165 166 170 179 187 196 209 213 227 231 234 241 251]\n",
      "image # 7933, layer # layer3.0.relu has outliers [  0   1   9  22  23  28  47  54  64  68  79  87  91  95 106 112 121 148\n",
      " 156 159 161 162 166 172 177 180 186 187 197 209 215 221 224 228 231 234\n",
      " 241 251]\n",
      "image # 7969, layer # layer3.0.relu has outliers [  0  15  22  43  47  51  68  88 104 107 121 140 146 150 152 158 161 162\n",
      " 166 186 188 197 210 221 232 234 241 251]\n",
      "image # 8081, layer # layer3.0.relu has outliers [  0  22  43  47  55  79  84  87  88  90  95  97 101 111 118 129 130 140\n",
      " 144 150 156 158 159 161 162 166 172 177 180 185 186 188 197 210 224 228\n",
      " 229 232 234 241 245 251 255]\n",
      "image # 8135, layer # layer3.0.relu has outliers [  0  14  19  43  47  79  84  88  90 101 106 107 111 112 118 121 139 140\n",
      " 141 144 158 161 164 166 172 180 186 197 205 211 213 224 231 232 234 241\n",
      " 251]\n",
      "image # 8138, layer # layer3.0.relu has outliers [  0  22  26  43  47  54  55  81  84  87  90  95 101 126 129 144 150 156\n",
      " 162 166 172 177 179 186 188 197 206 207 209 217 225 228 230 231 234 241\n",
      " 251]\n",
      "image # 8161, layer # layer3.0.relu has outliers [  0   1  18  54  57  67  68  87  95 101 121 126 132 139 140 144 146 161\n",
      " 165 166 179 196 197 209 211 213 229 231 234 238 241 245 251]\n",
      "image # 8174, layer # layer3.0.relu has outliers [  0   1   2  22  24  47  54  57  65  68  71  81  87  90  91  94 104 112\n",
      " 121 123 126 132 148 150 156 159 161 162 166 179 180 186 188 196 197 200\n",
      " 207 208 209 229 230 231 234 241 245 251]\n",
      "image # 8253, layer # layer3.0.relu has outliers [  0   1  14  15  19  22  43  47  54  64  79  81  84  91  95 104 121 122\n",
      " 126 148 151 156 161 162 179 180 186 188 189 209 225 228 231 234 241 245\n",
      " 251]\n",
      "image # 8273, layer # layer3.0.relu has outliers [  0  22  47  54  55  64  68  81  87  95 106 139 140 144 148 161 166 172\n",
      " 177 179 180 187 189 197 206 209 210 215 220 224 228 231 234 241 245 251]\n",
      "image # 8342, layer # layer3.0.relu has outliers [  0   2   8  43  47  51  54  68  84 106 107 112 118 121 140 142 147 150\n",
      " 158 159 161 162 164 165 166 177 180 186 188 196 197 221 231 234 241 251]\n",
      "image # 8353, layer # layer3.0.relu has outliers [  0  14  43  47  55  57  90  95 101 106 121 132 140 144 146 161 162 166\n",
      " 179 180 186 209 210 221 227 231 234 241 251]\n",
      "image # 8358, layer # layer3.0.relu has outliers [  0  14  22  28  38  47  54  61  88  90 101 105 111 118 121 144 146 158\n",
      " 161 162 166 172 186 204 213 221 241 247 251]\n",
      "image # 8372, layer # layer3.0.relu has outliers [  0  14  22  33  44  47  48  54  55  57  62  72  87  88 104 121 144 156\n",
      " 159 161 166 172 180 185 186 196 197 205 209 210 213 228 231 234 241 245\n",
      " 251]\n",
      "image # 8535, layer # layer3.0.relu has outliers [  0   2   8  22  24  43  47  54  71  79  84  88  90  95 100 106 123 132\n",
      " 133 140 145 158 159 164 165 166 172 180 186 188 196 197 206 208 210 211\n",
      " 216 220 224 227 228 229 231 234 241 251]\n",
      "image # 8544, layer # layer3.0.relu has outliers [ 22  23  43  47  51  54  55  68  90  91 121 141 144 146 156 159 161 166\n",
      " 172 177 180 187 189 197 209 211 221 224 234 241 251]\n",
      "image # 8612, layer # layer3.0.relu has outliers [  0   1  19  22  47  54  55  64 103 121 134 139 140 142 160 161 165 166\n",
      " 172 177 179 187 190 197 209 210 217 221 224 234 241 251]\n",
      "image # 8717, layer # layer3.0.relu has outliers [  0   7  19  22  43  47  51  53  79  84  90 106 111 112 118 122 126 139\n",
      " 140 144 147 150 151 161 166 172 179 186 196 209 213 217 224 232 234 241\n",
      " 251]\n",
      "image # 8755, layer # layer3.0.relu has outliers [  0   2   7   8  18  22  46  47  54  79  84  90 118 121 140 150 156 159\n",
      " 161 164 165 166 177 180 188 197 211 231 234 241 251]\n",
      "image # 8800, layer # layer3.0.relu has outliers [  0  22  34  44  47  54  63  64  73  79  87  90  95 110 121 126 139 146\n",
      " 148 159 161 162 166 169 172 179 186 187 189 197 206 209 228 231 234 238\n",
      " 241 245 251]\n",
      "image # 8909, layer # layer3.0.relu has outliers [  0  22  29  47  51  54  55  64  68  81  84  94 101 103 110 111 112 118\n",
      " 140 141 144 148 161 166 172 177 180 197 200 221 224 225 228 231 234 241\n",
      " 251]\n",
      "image # 8923, layer # layer3.0.relu has outliers [  0   7  14  15  19  22  47  63  79  81  84  90 111 118 121 122 126 139\n",
      " 140 146 151 156 159 161 162 166 186 197 209 213 231 234 241 251]\n",
      "image # 8930, layer # layer3.0.relu has outliers [  0  22  43  44  47  84  90  95 101 110 111 118 121 132 139 144 146 161\n",
      " 166 180 185 186 206 209 213 221 228 234 241 251]\n",
      "image # 8933, layer # layer3.0.relu has outliers [  4  18  22  43  47  55  68  79  81  84  90 106 118 121 129 139 140 144\n",
      " 150 156 159 165 166 167 172 179 180 185 188 197 209 213 225 228 231 232\n",
      " 234 241 251]\n",
      "image # 8996, layer # layer3.0.relu has outliers [ 14  15  17  18  22  24  25  28  29  38  63  83 101 104 132 139 146 151\n",
      " 158 162 165 166 186 196 204 209 213 221 234 241 247 251]\n",
      "image # 9047, layer # layer3.0.relu has outliers [  0   1  12  19  22  43  47  64  74  79  84  90  97 106 121 123 148 156\n",
      " 159 161 162 166 172 179 180 186 187 188 189 196 197 225 228 231 234 238\n",
      " 241 247 251]\n",
      "image # 9111, layer # layer3.0.relu has outliers [  0   2  19  22  47  51  57  68  79  84  90  95 101 106 118 121 133 140\n",
      " 151 159 164 166 180 186 188 189 196 197 208 216 227 228 229 231 234 241\n",
      " 251 252]\n",
      "image # 9208, layer # layer3.0.relu has outliers [  0   8  18  22  23  44  46  47  50  55  87 101 103 104 110 121 161 166\n",
      " 170 172 177 197 209 221 224 231 234 241 251]\n",
      "image # 9320, layer # layer3.0.relu has outliers [ 19  22  26  28  43  47  53  74  79  84  88 101 112 118 121 126 129 139\n",
      " 140 144 151 156 165 179 180 188 189 213 215 216 225 228 231 232 234 241\n",
      " 242 251]\n",
      "image # 9333, layer # layer3.0.relu has outliers [  0   1  12  19  22  43  47  63  64  66  79  89  97 101 106 121 139 140\n",
      " 144 146 148 156 161 162 165 166 172 179 180 186 187 189 197 204 209 221\n",
      " 224 228 234 238 241 251]\n",
      "image # 9585, layer # layer3.0.relu has outliers [  0   1  19  22  38  43  47  50  54  55  64  66 101 103 105 112 134 139\n",
      " 144 146 161 162 165 166 168 169 174 177 186 187 192 196 204 217 226 229\n",
      " 234 241 244 247 251 255]\n",
      "image # 9597, layer # layer3.0.relu has outliers [  0  14  18  19  22  43  47  53  64  84  90  95 106 111 118 133 144 147\n",
      " 150 161 162 164 166 172 179 180 186 188 196 211 213 216 221 224 227 234\n",
      " 241 245 251]\n",
      "image # 9598, layer # layer3.0.relu has outliers [  8  19  22  43  47  54  55  68  81  90  91 101 104 107 139 141 150 156\n",
      " 159 161 165 166 177 180 186 190 191 197 200 204 210 221 224 234 241 251]\n",
      "image # 9611, layer # layer3.0.relu has outliers [ 22  47  54  55  68  72  84  88 100 103 104 121 126 132 140 150 156 159\n",
      " 161 165 166 177 179 180 185 188 197 209 210 215 224 228 231 234 241 251]\n",
      "image # 9655, layer # layer3.0.relu has outliers [  0   1  15  23  46  47  55  72  90  95 104 106 121 139 146 159 161 162\n",
      " 165 166 180 186 197 209 210 221 224 227 229 231 234 241 251]\n",
      "image # 9716, layer # layer3.0.relu has outliers [  0  14  22  38  46  47  54  81  87  88  95 103 121 146 156 162 166 179\n",
      " 180 186 196 209 213 215 221 228 231 234 241 251]\n",
      "image # 9807, layer # layer3.0.relu has outliers [ 22  28  29  43  47  51  54  55  63  74  84  86 101 103 121 144 146 156\n",
      " 161 162 166 172 177 179 180 186 187 190 197 209 221 224 231 234 241 251]\n",
      "image # 9854, layer # layer3.0.relu has outliers [  0  22  28  34  43  47  64  67  79  81  87  88 104 106 121 131 140 148\n",
      " 161 162 166 172 177 179 180 187 189 197 209 221 224 231 234 241 247 251]\n",
      "image # 9870, layer # layer3.0.relu has outliers [  0  14  15  18  19  22  28  43  47  51  64  71  76  81  84  90 101 121\n",
      " 141 142 144 161 162 165 166 172 180 186 189 213 216 225 234 241 245 251]\n",
      "image # 9914, layer # layer3.0.relu has outliers [  0   2   8  19  22  43  47  79  84  90  95  97 106 118 121 133 140 150\n",
      " 151 156 159 161 164 166 172 180 185 186 188 197 198 205 225 227 228 231\n",
      " 232 234 241 245 251]\n",
      "image # 9937, layer # layer3.0.relu has outliers [  0  22  23  43  47  54  84  88 110 118 140 148 150 156 161 165 166 172\n",
      " 177 179 188 197 209 210 221 224 228 231 234 241 251]\n",
      "image # 10055, layer # layer3.0.relu has outliers [  0   2  19  22  47  54  57  71  88  90 118 121 126 139 140 156 159 161\n",
      " 166 179 180 186 188 189 197 229 231 234 241 251]\n",
      "image # 10087, layer # layer3.0.relu has outliers [  0  22  23  43  47  54  55  64  87  90  91 101 105 111 121 132 139 144\n",
      " 146 161 166 168 172 179 187 196 197 209 210 224 229 231 234 241 246 251\n",
      " 255]\n",
      "image # 10129, layer # layer3.0.relu has outliers [  0  23  44  47  54  57  84  90 101 121 140 142 144 146 150 156 159 161\n",
      " 165 166 177 179 188 191 197 208 209 210 227 231 234 241 244 251]\n",
      "image # 10156, layer # layer3.0.relu has outliers [ 22  28  43  47  54  64  83  90  95 101 104 144 159 161 162 166 172 177\n",
      " 180 185 186 187 196 197 209 226 229 231 234 241 245 251 255]\n",
      "image # 10193, layer # layer3.0.relu has outliers [  7   8  18  23  47  54  55  63  68  75  84 106 112 140 141 147 156 161\n",
      " 164 166 177 180 186 196 197 211 215 220 224 227 228 231 234 241 251]\n",
      "image # 10209, layer # layer3.0.relu has outliers [  0  12  14  17  22  28  43  47  63  67  79  88 101 106 139 140 146 158\n",
      " 161 162 165 166 168 174 179 180 187 196 221 234 241 247 251]\n",
      "image # 10225, layer # layer3.0.relu has outliers [ 43  47  48  51  88  95 121 139 140 144 146 161 164 166 168 172 180 197\n",
      " 210 211 213 221 226 234 241 251]\n",
      "image # 10251, layer # layer3.0.relu has outliers [  0   8   9  22  33  47  51  57  63  71  72  88 139 140 147 161 162 165\n",
      " 166 186 189 197 210 211 234 241 251]\n",
      "image # 10259, layer # layer3.0.relu has outliers [  7  18  19  22  43  47  53  64  79  84  90 106 111 118 129 139 140 146\n",
      " 159 161 162 172 179 180 188 196 197 210 228 234 241 245 251]\n",
      "image # 10263, layer # layer3.0.relu has outliers [ 22  23  24  43  47  55 134 139 141 161 165 166 172 177 185 186 196 197\n",
      " 209 210 217 224 234 241 251 255]\n",
      "image # 10269, layer # layer3.0.relu has outliers [  0   1  22  23  43  44  47  54  55  57  81  84  90  95 111 118 121 139\n",
      " 140 141 144 159 161 165 166 170 177 180 197 213 221 224 228 231 234 241\n",
      " 251]\n",
      "image # 10273, layer # layer3.0.relu has outliers [  0  22  47  54  55  63  64  79 101 103 106 112 121 140 148 156 159 161\n",
      " 162 165 166 168 170 172 177 180 187 189 191 196 197 209 210 221 224 228\n",
      " 231 234 241 251]\n",
      "image # 10297, layer # layer3.0.relu has outliers [  9  19  22  43  47  55  79  81  84  87  90 101 106 112 121 129 131 148\n",
      " 150 156 159 161 166 172 177 180 188 191 196 197 209 224 228 231 234 241\n",
      " 251]\n",
      "image # 10343, layer # layer3.0.relu has outliers [  0  22  28  43  47  54  55  79  81  83  84  90 101 111 118 121 139 144\n",
      " 150 151 156 161 166 179 188 207 228 231 234 241 251]\n",
      "image # 10377, layer # layer3.0.relu has outliers [  0   1   2   4  19  22  47  54  63  64  79  88 104 106 121 122 156 159\n",
      " 161 162 165 179 180 186 187 188 189 197 208 216 228 231 234 241 251]\n",
      "image # 10385, layer # layer3.0.relu has outliers [  0   8   9  18  22  23  47  54  55  63  81  87 101 104 126 139 144 156\n",
      " 159 161 166 172 177 179 180 197 207 210 215 221 224 231 234 241 251]\n",
      "image # 10398, layer # layer3.0.relu has outliers [  0  14  22  28  47  54  64  95 102 104 118 121 139 146 148 159 161 162\n",
      " 166 172 180 185 186 187 189 197 209 215 231 234 241 251]\n",
      "image # 10418, layer # layer3.0.relu has outliers [  2  22  47  54  57  79  88  95 121 126 132 133 156 159 166 172 180 196\n",
      " 197 229 231 234 241 245 251]\n",
      "image # 10513, layer # layer3.0.relu has outliers [ 18  22  23  47  54  55  64  87  93  95 104 110 121 139 148 161 166 170\n",
      " 172 177 179 180 197 209 210 215 224 231 234 241 251]\n",
      "image # 10524, layer # layer3.0.relu has outliers [  0   7  22  47  63  64  79  81  87 103 104 105 118 122 126 129 139 148\n",
      " 156 159 161 165 166 170 172 177 180 191 196 215 224 228 234 241 251]\n",
      "image # 10705, layer # layer3.0.relu has outliers [  0  14  22  26  43  51  72  79  84  88  90 101 111 118 126 132 139 144\n",
      " 146 150 151 156 161 162 166 172 179 186 188 196 209 211 213 225 231 234\n",
      " 241 242 251]\n",
      "image # 10817, layer # layer3.0.relu has outliers [  0  18  19  22  43  47  76  79  88  90 101 106 110 121 126 129 140 144\n",
      " 161 165 166 172 179 180 189 206 209 210 211 224 226 228 232 234 241 251]\n",
      "image # 10818, layer # layer3.0.relu has outliers [  0  22  44  47  51  55  86  90 103 105 118 121 150 156 159 161 166 177\n",
      " 186 187 189 197 215 221 234 241 251]\n",
      "image # 10821, layer # layer3.0.relu has outliers [ 14  15  18  22  43  61  73  79  88  95 121 126 131 132 133 139 146 151\n",
      " 158 161 162 179 180 186 196 216 231 234 241 245 247 251]\n",
      "image # 10866, layer # layer3.0.relu has outliers [ 19  22  47  54  64  79  81  84  87  97 104 105 106 118 121 129 139 148\n",
      " 156 161 166 167 177 179 180 186 188 197 224 225 228 230 231 234 241 251]\n",
      "image # 10946, layer # layer3.0.relu has outliers [  0   1  14  15  22  28  43  47  54  64  67  79  87  88 126 132 139 140\n",
      " 146 151 161 162 166 169 179 187 196 197 210 211 221 234 239 241 245 251]\n",
      "layer layer3.1.relu\n",
      "image # 130, layer # layer3.1.relu has outliers [  0   2  15  18  35  47  54  60  71  72  73  91 101 111 118 126 131 132\n",
      " 133 139 141 144 146 147 150 159 161 166 174 179 180 197 198 205 208 210\n",
      " 213 229 231 236 251]\n",
      "image # 135, layer # layer3.1.relu has outliers [  0  15  19  22  40  54  64  73  83  87  88  91  93 100 107 126 128 131\n",
      " 139 140 147 160 162 166 172 177 179 180 197 200 209 210 229 231 236 241\n",
      " 250 251]\n",
      "image # 250, layer # layer3.1.relu has outliers [  0   1  18  19  31  47  51  54  64  81 101 113 119 123 126 132 146 161\n",
      " 164 166 171 174 177 179 180 186 187 197 200 209 210 213 215 221 225 229\n",
      " 230 231 236 241 251]\n",
      "image # 383, layer # layer3.1.relu has outliers [  0   3  15  18  19  63  73 101 106 107 110 111 118 123 126 130 132 139\n",
      " 142 148 150 161 162 166 170 171 172 174 177 179 180 182 183 188 197 198\n",
      " 200 208 213 221 225 229 231 236 241 251]\n",
      "image # 399, layer # layer3.1.relu has outliers [  0  15  18  19  31  33  34  41  63  75 101 111 131 135 139 144 146 147\n",
      " 150 151 161 164 172 179 180 197 208 210 213 216 221 223 226 231 236 239\n",
      " 250 251]\n",
      "image # 519, layer # layer3.1.relu has outliers [  0   3  11  19  22  47  54  64  84  87  97 105 110 111 131 132 141 144\n",
      " 146 149 151 161 166 169 170 174 179 180 182 187 197 204 206 217 224 229\n",
      " 241 245 250 251]\n",
      "image # 540, layer # layer3.1.relu has outliers [  0  10  14  17  18  28  38  54  63  83 101 111 118 120 123 126 128 132\n",
      " 139 142 144 146 147 151 161 162 172 179 180 196 197 213 224 225 229 231\n",
      " 236 241 247 251]\n",
      "image # 551, layer # layer3.1.relu has outliers [  0   2   9  11  19  23  47  54  84 101 110 111 116 118 130 131 132 139\n",
      " 141 142 144 146 150 151 159 161 164 166 172 180 188 197 198 205 208 213\n",
      " 228 229 231 236 250 251]\n",
      "image # 579, layer # layer3.1.relu has outliers [ 18  19  29  38  51  54  57  64  72  85  91 101 111 118 139 141 142 144\n",
      " 146 147 150 151 161 162 166 179 180 197 200 205 209 213 221 224 225 229\n",
      " 231 236 251]\n",
      "image # 739, layer # layer3.1.relu has outliers [  0   1  12  18  19  34  38  54  62  63  64  73  80  85  87  91 101 106\n",
      " 110 111 118 126 139 144 151 161 162 166 171 174 177 179 180 182 187 197\n",
      " 209 225 241 251]\n",
      "image # 751, layer # layer3.1.relu has outliers [  0  10  14  15  18  22  54  63  88  89  91 101 106 107 111 128 132 135\n",
      " 139 146 147 151 160 162 166 172 176 179 180 196 197 210 224 229 239 241\n",
      " 251]\n",
      "image # 818, layer # layer3.1.relu has outliers [  0   2  71  84 101 111 118 132 139 141 142 144 146 147 151 156 161 164\n",
      " 166 174 177 180 188 197 208 209 213 221 224 225 229 231 236 250 251]\n",
      "image # 821, layer # layer3.1.relu has outliers [  0  19  47  60  68  81  87 106 110 111 118 126 130 132 142 144 148 151\n",
      " 156 161 164 166 171 177 179 180 182 197 200 208 209 213 215 225 229 230\n",
      " 231 236 250 251]\n",
      "image # 878, layer # layer3.1.relu has outliers [  0   2  10  18  19  23  31  47  54  55  71  72  73  84  94 101 111 142\n",
      " 144 146 147 150 159 161 164 167 180 182 188 197 208 210 213 229 231 236\n",
      " 251]\n",
      "image # 907, layer # layer3.1.relu has outliers [  0   2  19  23  44  47  54  64  90 101 103 111 118 123 130 131 132 139\n",
      " 145 146 147 151 161 168 171 177 179 180 197 200 208 213 224 229 231 236\n",
      " 251]\n",
      "image # 1042, layer # layer3.1.relu has outliers [ 12  19  34  38  54  62  64  91  96 101 118 146 151 160 162 164 166 174\n",
      " 176 179 180 187 196 197 200 215 241 251]\n",
      "image # 1134, layer # layer3.1.relu has outliers [  0   2  18  19  22  38  47  51  54  72 101 110 111 130 141 142 144 146\n",
      " 147 150 151 161 164 166 174 179 180 197 205 208 213 221 225 229 231 251]\n",
      "image # 1195, layer # layer3.1.relu has outliers [  0  18  19  64 101 106 111 118 119 126 132 139 142 144 146 147 148 151\n",
      " 161 162 165 166 179 180 183 197 198 209 213 225 230 231 236 247 251 254]\n",
      "image # 1207, layer # layer3.1.relu has outliers [  2   4  14  15  18  38  54  61  63  64  83  85  87  88 100 111 118 122\n",
      " 123 126 128 130 132 139 146 148 151 162 172 179 198 205 208 213 225 230\n",
      " 231 236 239 241 251]\n",
      "image # 1250, layer # layer3.1.relu has outliers [  2  14  21  22  29  47  51  54  64  83  85  87  91 101 111 118 126 128\n",
      " 132 146 147 151 161 162 165 166 179 180 197 201 205 209 213 215 223 225\n",
      " 230 231 236 241 251]\n",
      "image # 1285, layer # layer3.1.relu has outliers [  2  15  19  21  35  47  54  72  83 101 116 121 126 131 132 133 144 146\n",
      " 150 151 156 161 166 174 179 180 188 197 198 205 208 209 213 221 229 231\n",
      " 236 241 251 254]\n",
      "image # 1296, layer # layer3.1.relu has outliers [  0  11  18  19  44  54  81  92  94 101 111 118 122 126 128 131 132 139\n",
      " 146 147 150 151 161 166 180 197 198 205 208 209 213 229 231 236 237 251\n",
      " 253]\n",
      "image # 1382, layer # layer3.1.relu has outliers [  0   7  18  19  47  54  64  85  89  97 101 123 126 130 132 139 144 151\n",
      " 161 166 172 180 196 198 200 215 229 230 236 241 247 248 251]\n",
      "image # 1392, layer # layer3.1.relu has outliers [  2   3  14  18  22  92 100 101 106 110 111 126 130 132 139 144 147 148\n",
      " 151 161 162 166 172 179 180 197 198 213 215 223 225 230 231 236 241 250\n",
      " 251]\n",
      "image # 1451, layer # layer3.1.relu has outliers [  0  16  18  19  63  64 106 110 111 118 123 126 141 144 146 148 151 166\n",
      " 171 172 179 180 187 204 209 221 223 224 225 229 241 247 250 251]\n",
      "image # 1457, layer # layer3.1.relu has outliers [  2   4  14  22  38  47  54  64  72  85  91 103 105 111 118 142 146 151\n",
      " 159 161 162 168 172 176 179 180 187 197 198 201 205 208 225 231 236 241\n",
      " 251]\n",
      "image # 1520, layer # layer3.1.relu has outliers [  2  47  54  60  71  87  91 101 103 116 123 131 132 141 144 150 151 153\n",
      " 159 161 162 164 166 174 179 180 182 189 197 198 200 203 205 208 213 231\n",
      " 236 241 251]\n",
      "image # 1545, layer # layer3.1.relu has outliers [  0  14  18  19  22  81  84 101 111 118 126 130 133 139 141 144 146 151\n",
      " 161 162 166 179 180 197 198 205 213 221 225 229 231 250 251]\n",
      "image # 1724, layer # layer3.1.relu has outliers [  0   9  18  44  47  54  55  64  87  91 101 111 118 124 132 139 144 146\n",
      " 151 159 161 171 177 179 180 182 187 191 197 198 208 209 210 229 231 236\n",
      " 248 251]\n",
      "image # 1777, layer # layer3.1.relu has outliers [  4  16  18  19  21  29  63  64  73  76  81  85  87  92  94 106 118 123\n",
      " 128 131 132 139 147 151 162 165 179 180 197 198 200 221 225 229 231 236\n",
      " 241 251]\n",
      "image # 1846, layer # layer3.1.relu has outliers [  2  11  14  15  19  22  35  38  54  64  72  73  85  91 111 118 122 123\n",
      " 130 132 139 144 146 151 152 159 162 179 180 185 186 197 198 205 213 223\n",
      " 225 228 229 230 236 241 251]\n",
      "image # 1864, layer # layer3.1.relu has outliers [  0  10  17  18  19  51  55  61  86  92 101 111 118 126 130 132 139 144\n",
      " 146 147 150 151 161 162 174 179 180 192 197 198 204 205 209 213 215 217\n",
      " 223 224 225 229 230 231 247 250 251]\n",
      "image # 1912, layer # layer3.1.relu has outliers [  1  14  17  18  19  35  38  51  55  72  86 101 111 119 130 131 132 141\n",
      " 144 146 150 151 156 159 161 162 165 179 197 205 208 213 221 224 225 229\n",
      " 231 236 247 248 251]\n",
      "image # 1969, layer # layer3.1.relu has outliers [  0   1   2  19  38  40  54  83  91  93 104 107 123 126 139 144 146 148\n",
      " 162 165 166 174 179 180 182 187 197 200 215 221 229 231 241 251]\n",
      "image # 1970, layer # layer3.1.relu has outliers [  2  11  12  14  15  18  51  54  62  63  64  73  83  85 101 111 116 118\n",
      " 122 128 130 139 146 147 148 151 162 166 172 187 196 198 205 208 213 225\n",
      " 236 237 239 241 251]\n",
      "image # 2006, layer # layer3.1.relu has outliers [  0   2  19  44  64  94 101 110 111 118 132 139 142 144 146 150 151 161\n",
      " 164 166 179 180 188 197 205 208 210 213 224 229 231 236 250 251]\n",
      "image # 2025, layer # layer3.1.relu has outliers [  0  14  19  41  47  51  81  88  92 101 111 118 122 128 132 139 144 146\n",
      " 147 150 151 161 166 174 180 197 198 205 208 213 225 229 231 236 251]\n",
      "image # 2117, layer # layer3.1.relu has outliers [  0  18  19  22  53 101 106 107 111 118 126 130 132 144 146 149 150 151\n",
      " 161 162 166 169 174 175 179 180 188 197 198 204 208 213 224 225 229 230\n",
      " 239 241 247 250 251]\n",
      "image # 2269, layer # layer3.1.relu has outliers [  0  19  23  63 101 110 128 131 132 139 142 146 151 161 170 172 179 180\n",
      " 188 197 200 215 224 225 229 231 236 241 245 247 251 254]\n",
      "image # 2421, layer # layer3.1.relu has outliers [  0  17  19  22  53  64  84  85  96 101 110 111 130 132 142 144 146 150\n",
      " 151 161 164 172 177 179 180 182 188 197 198 213 215 221 224 225 226 229\n",
      " 232 241 250 251]\n",
      "image # 2524, layer # layer3.1.relu has outliers [  0  18  22  54  63  64  74  88  91  93  97 110 128 135 139 146 147 161\n",
      " 162 165 166 171 172 179 180 182 187 197 210 221 224 229 251]\n",
      "image # 2530, layer # layer3.1.relu has outliers [  2  18  19  22  38  41  55  64  71  72  74  87  88  92  97 101 110 111\n",
      " 139 144 161 162 170 172 174 177 179 180 188 197 200 205 208 209 210 215\n",
      " 221 224 225 228 229 231 251]\n",
      "image # 2565, layer # layer3.1.relu has outliers [  2  12  14  19  22  38  47  54  66  72  83  87  91 101 110 113 126 144\n",
      " 151 156 159 162 166 179 180 187 198 209 213 215 221 225 228 230 231 241\n",
      " 247 251]\n",
      "image # 2635, layer # layer3.1.relu has outliers [ 19  73  81 101 110 111 123 132 139 144 146 147 151 161 174 179 180 182\n",
      " 200 210 213 217 221 225 229 231 247 251]\n",
      "image # 2638, layer # layer3.1.relu has outliers [  0   2  18  19  38  51  55  72  88 101 111 118 128 130 133 139 144 146\n",
      " 150 151 161 162 164 166 177 179 180 188 196 197 198 205 208 213 215 225\n",
      " 229 231 236 251]\n",
      "image # 2727, layer # layer3.1.relu has outliers [  0   3  15  18  23  51  63  84  91  92 101 106 111 118 123 130 132 139\n",
      " 141 146 147 151 161 164 166 172 176 179 180 197 198 205 208 213 221 224\n",
      " 229 231 236 248 251]\n",
      "image # 2817, layer # layer3.1.relu has outliers [ 19  23  40  51  54  91 107 110 118 128 139 141 142 146 147 160 162 165\n",
      " 166 168 169 171 174 175 179 180 182 197 200 205 210 215 221 229 236 241\n",
      " 251]\n",
      "image # 2937, layer # layer3.1.relu has outliers [  0  17  22  38  51  54  55  63  64  81  86 101 103 111 118 126 132 139\n",
      " 144 146 151 162 171 174 177 179 180 197 198 205 213 215 217 223 224 225\n",
      " 229 230 231 236 241 247 251]\n",
      "image # 2942, layer # layer3.1.relu has outliers [ 15  29  38  39  54  55  71  72  87  91  93 100 101 120 128 131 139 146\n",
      " 150 159 161 171 172 177 179 180 182 191 197 200 205 210 215 217 224 229\n",
      " 251]\n",
      "image # 2962, layer # layer3.1.relu has outliers [ 11  12  14  19  41  47  51  63  64  74  81  84  88 101 111 116 118 122\n",
      " 130 133 139 144 146 147 150 151 161 162 164 166 172 197 198 208 213 228\n",
      " 229 231 251]\n",
      "image # 3065, layer # layer3.1.relu has outliers [  0  11  14  15  18  38  51  63  64  73  83 111 118 122 123 128 132 135\n",
      " 139 143 146 147 148 151 162 170 172 196 197 198 205 213 224 225 229 236\n",
      " 241 251]\n",
      "image # 3147, layer # layer3.1.relu has outliers [ 12  14  15  18  51  62  63  64  73  83  84  85  90 101 111 118 122 128\n",
      " 132 139 141 146 147 151 159 161 162 166 172 174 205 213 225 236 239 241\n",
      " 251 253]\n",
      "image # 3287, layer # layer3.1.relu has outliers [  0   8  15  18  22  44  47  53  54  63  73  84  92 101 110 111 126 132\n",
      " 133 139 141 144 146 147 150 161 164 166 172 180 197 208 213 229 230 231\n",
      " 236 251]\n",
      "image # 3395, layer # layer3.1.relu has outliers [ 11  14  17  22  35  38  54 103 120 132 139 144 146 159 160 162 172 179\n",
      " 180 186 196 197 201 205 217 221 229 241 251]\n",
      "image # 3643, layer # layer3.1.relu has outliers [  0   2  14  17  18  38  44  51  54  91  94 101 111 132 139 144 146 151\n",
      " 152 160 161 162 166 180 197 213 221 229 230 231 236 247 251]\n",
      "image # 3811, layer # layer3.1.relu has outliers [  0  17  18  19  22  51  63  64  83 101 111 118 126 130 132 139 141 144\n",
      " 146 151 162 166 174 176 180 197 198 210 213 221 223 226 229 241 251]\n",
      "image # 3846, layer # layer3.1.relu has outliers [  0  17  19  87  96  97 107 110 111 118 126 130 139 144 146 147 150 151\n",
      " 161 162 167 179 180 182 188 196 197 198 213 224 229 241 245 250 251]\n",
      "image # 3930, layer # layer3.1.relu has outliers [  0   1  19  28  47  54  55  68  71  91  97 100 106 111 123 130 131 132\n",
      " 142 144 148 150 151 161 166 170 171 177 179 180 182 197 198 200 208 209\n",
      " 210 225 231 236 248 251]\n",
      "image # 3953, layer # layer3.1.relu has outliers [  1  14  19  38  47  54  64  83 101 106 111 132 141 144 146 151 161 162\n",
      " 164 166 168 171 174 179 180 186 197 210 213 217 221 229 241 246 247 250\n",
      " 251]\n",
      "image # 4002, layer # layer3.1.relu has outliers [  2  12  15  19  47  51  54  64  71  74  91 101 111 123 126 128 139 142\n",
      " 146 147 151 161 162 166 174 179 180 187 197 200 205 213 225 229 230 231\n",
      " 241 251 254]\n",
      "image # 4014, layer # layer3.1.relu has outliers [  3  10  14  15  19  23  54  64  66  73  87  90 107 118 120 122 123 124\n",
      " 128 131 132 135 139 141 143 147 150 159 162 165 171 174 177 182 188 197\n",
      " 198 205 210 229 236 241 248 251]\n",
      "image # 4064, layer # layer3.1.relu has outliers [ 14  17  18  19  38  40  41  47  54  64  87  91  96  97 101 107 111 139\n",
      " 149 150 161 162 166 179 180 182 192 197 198 200 205 221 228 229 231 241\n",
      " 251]\n",
      "image # 4078, layer # layer3.1.relu has outliers [ 11  12  14  19  22  51  64  72  74  85  88  97 101 111 118 128 130 139\n",
      " 144 146 147 150 151 161 162 164 166 172 179 180 187 197 198 205 208 213\n",
      " 226 229 231 241 251]\n",
      "image # 4100, layer # layer3.1.relu has outliers [  0  10  18  19  22  63  64  73  85 101 106 111 126 130 139 142 144 146\n",
      " 147 151 161 162 179 180 188 197 198 208 213 221 229 231 236 239 241 250\n",
      " 251]\n",
      "image # 4115, layer # layer3.1.relu has outliers [  7  11  54  64  85  87 105 106 107 110 111 118 132 139 140 142 146 151\n",
      " 161 162 166 170 171 172 174 177 179 180 182 197 198 200 209 210 224 229\n",
      " 231 236 241 250 251]\n",
      "image # 4256, layer # layer3.1.relu has outliers [  1  19  47  54  64  83  87  91 100 101 119 123 128 130 132 139 141 142\n",
      " 144 146 147 151 161 162 166 171 179 180 182 188 196 197 198 200 209 210\n",
      " 215 241 246 248 251]\n",
      "image # 4317, layer # layer3.1.relu has outliers [  0  17  18  19  66  81  96  97 106 111 118 130 132 139 147 151 166 172\n",
      " 174 179 180 183 188 197 200 224 225 229 232 236 241 251]\n",
      "image # 4342, layer # layer3.1.relu has outliers [ 10  12  14  18  22  38  54  63  64  73  83  85  87  91 103 119 123 128\n",
      " 130 131 132 139 146 151 162 165 176 179 180 186 187 196 197 198 200 213\n",
      " 214 215 229 230 231 236 241 247 251]\n",
      "image # 4374, layer # layer3.1.relu has outliers [  0   2  15  18  19  22  47  51  54  63  64  88 101 111 118 126 130 131\n",
      " 132 133 139 144 146 147 150 151 161 166 179 180 197 198 208 210 213 221\n",
      " 224 229 230 231 236 251]\n",
      "image # 4388, layer # layer3.1.relu has outliers [  0  17  18  19  51 101 107 110 111 118 139 141 144 146 147 150 151 161\n",
      " 162 166 177 180 185 188 197 200 210 213 221 223 224 225 229 231 245 250\n",
      " 251]\n",
      "image # 4392, layer # layer3.1.relu has outliers [  1   2  10  18  35  38  54  64  72  87  91 100 101 111 118 126 139 144\n",
      " 146 147 150 162 165 166 179 180 187 196 197 205 215 223 225 229 231 236\n",
      " 241 251]\n",
      "image # 4452, layer # layer3.1.relu has outliers [  0   7  12  15  16  18  19  22  47  63  64  80  85  92 101 110 111 118\n",
      " 139 146 147 151 161 162 172 174 179 180 187 188 197 200 208 215 221 223\n",
      " 224 225 226 241 247 251]\n",
      "image # 4484, layer # layer3.1.relu has outliers [  2  16  54  71  91  93 100 126 128 132 147 148 150 151 161 166 171 174\n",
      " 177 179 180 197 198 200 208 209 215 225 236 241 251]\n",
      "image # 4509, layer # layer3.1.relu has outliers [  0  10  19  23  63  64  66 104 106 107 110 111 118 130 131 135 139 142\n",
      " 146 147 151 162 165 168 170 171 172 180 196 197 210 224 229 236 245 251]\n",
      "image # 4564, layer # layer3.1.relu has outliers [  4   5  14  15  17  18  22  25  35  38  54  61  64  83  87  89 113 119\n",
      " 122 126 130 132 139 144 146 151 156 162 179 192 196 198 205 209 213 215\n",
      " 230 236 241 247 251]\n",
      "image # 4804, layer # layer3.1.relu has outliers [ 16  19  29  47  51  55  63  64  74  83  85 128 131 141 144 147 156 161\n",
      " 162 171 172 177 179 180 182 190 196 197 209 210 221 224 229 241 250 251]\n",
      "image # 4833, layer # layer3.1.relu has outliers [  0   2  11  12  18  19  51  54  64  71  72  85 101 103 110 111 126 132\n",
      " 133 142 144 146 151 161 166 179 180 197 208 213 229 230 231 235 236 239\n",
      " 251]\n",
      "image # 4896, layer # layer3.1.relu has outliers [  2  15  19  51  71  84  88 101 111 132 141 144 146 147 150 151 161 162\n",
      " 164 165 166 172 174 176 179 180 189 197 205 208 213 225 229 231 236 241\n",
      " 247 251]\n",
      "image # 4933, layer # layer3.1.relu has outliers [ 14  18  19  33  38  41  47  51  64  88  94 101 103 111 118 139 146 151\n",
      " 161 162 179 180 186 197 213 225 230 231 247 251]\n",
      "image # 5018, layer # layer3.1.relu has outliers [ 11  14  15  17  18  22  38  54  63  64  85  87  89  91 101 128 132 139\n",
      " 141 144 146 151 152 162 169 172 179 180 185 196 210 213 224 229 236 239\n",
      " 241 250 251]\n",
      "image # 5049, layer # layer3.1.relu has outliers [  0  18  19  22  35  54  55  62  81 101 106 110 111 118 126 132 139 141\n",
      " 144 146 147 150 151 161 174 179 180 197 198 205 208 213 224 225 229 230\n",
      " 231 236 248 251]\n",
      "image # 5193, layer # layer3.1.relu has outliers [  0  18  19  51  64  66  84  97 101 106 110 111 114 118 126 132 142 144\n",
      " 147 150 151 161 166 180 188 189 213 223 229 236 241 250 251]\n",
      "image # 5244, layer # layer3.1.relu has outliers [ 14  15  18  19  38  51  54  64  72  73  83  90  91 111 123 130 131 132\n",
      " 139 146 147 151 159 161 162 164 166 172 177 179 180 182 188 196 197 205\n",
      " 213 221 224 225 229 236 251]\n",
      "image # 5434, layer # layer3.1.relu has outliers [  0   9  19  55  71  93 101 106 111 123 141 144 147 156 161 164 166 172\n",
      " 174 177 179 180 188 191 197 208 209 210 221 224 225 229 236 251]\n",
      "image # 5518, layer # layer3.1.relu has outliers [  0  18  19  54  64 101 103 107 110 111 118 128 139 141 142 147 151 160\n",
      " 166 170 172 179 180 197 210 215 221 223 226 229 236 241 251]\n",
      "image # 5533, layer # layer3.1.relu has outliers [  3  11  12  14  15  19  38  54  64  72  73  83  85 111 116 118 122 128\n",
      " 139 146 147 150 151 162 166 180 198 205 209 213 215 225 236 237 241 251\n",
      " 253]\n",
      "image # 5576, layer # layer3.1.relu has outliers [  2  14  38  41  44  51  54  64  72  81 101 111 123 130 132 139 142 144\n",
      " 146 147 150 151 159 161 164 179 180 197 205 208 213 215 223 229 231 236\n",
      " 251]\n",
      "image # 5611, layer # layer3.1.relu has outliers [ 12  14  15  17  18  19  22  51  64  73  88 101 107 139 141 146 147 151\n",
      " 153 161 162 166 174 205 208 210 213 229 239 241 250 251]\n",
      "image # 5633, layer # layer3.1.relu has outliers [  0   7  14  18  19  23  47  51  83  84 106 107 111 118 130 139 141 146\n",
      " 147 150 151 161 164 166 172 177 180 197 209 213 221 224 226 229 231 236\n",
      " 250 251]\n",
      "image # 5727, layer # layer3.1.relu has outliers [  0   9  14  17  19  51  63 101 111 118 126 130 132 139 144 146 147 151\n",
      " 156 161 166 179 180 182 196 197 198 211 213 221 224 225 229 231 236 251]\n",
      "image # 5805, layer # layer3.1.relu has outliers [  0   1  12  19  47  54  64  71  74  81  85  87  91  94 103 110 113 123\n",
      " 126 128 132 142 148 149 151 159 161 162 166 172 177 179 180 182 186 187\n",
      " 197 198 200 209 210 215 225 231 235 236 241 251]\n",
      "image # 5820, layer # layer3.1.relu has outliers [ 34  38  54  55  87  91 101 110 111 123 134 139 144 146 156 160 161 162\n",
      " 164 171 172 177 179 180 182 196 197 205 210 215 217 224 225 229 236 241\n",
      " 251]\n",
      "image # 5902, layer # layer3.1.relu has outliers [  0   2  14  15  18  19  22  47  51  63  64  73  74  81  84  85 101 110\n",
      " 111 142 144 146 151 156 161 162 164 172 174 179 180 188 197 205 213 225\n",
      " 229 231 236 245 251]\n",
      "image # 5988, layer # layer3.1.relu has outliers [  0  11  15  17  18  19  22  35  53  72  85  92  93  96 100 106 110 111\n",
      " 118 130 132 139 142 146 150 161 162 166 174 179 180 188 197 198 205 208\n",
      " 209 210 221 229 231 232 236 237 251]\n",
      "image # 6046, layer # layer3.1.relu has outliers [ 18  19  51  61  63  74  83  88  89 101 111 118 128 132 139 143 144 147\n",
      " 150 151 161 162 172 180 197 205 210 213 225 231 236 239 251]\n",
      "image # 6114, layer # layer3.1.relu has outliers [ 14  47  51  54  64 101 107 111 118 122 126 128 132 139 146 147 150 151\n",
      " 159 161 162 166 169 179 197 198 203 205 208 213 231 236 237 241 251]\n",
      "image # 6237, layer # layer3.1.relu has outliers [  0  11  14  17  19  22  35  38  41  54  64  83  87  97 111 118 119 123\n",
      " 130 132 139 140 144 146 151 161 162 179 180 196 197 198 209 213 229 231\n",
      " 236 241 251]\n",
      "image # 6249, layer # layer3.1.relu has outliers [ 14  19  29  40  51  54  64  91 107 111 137 139 141 144 146 147 151 160\n",
      " 161 162 166 171 174 179 180 182 187 196 197 200 209 210 221 224 229 241\n",
      " 251]\n",
      "image # 6285, layer # layer3.1.relu has outliers [ 15  19  38  54  64  85 111 119 123 132 144 146 148 151 152 162 164 171\n",
      " 174 179 180 186 187 196 197 198 209 210 213 224 225 229 231 236 239 241\n",
      " 251]\n",
      "image # 6346, layer # layer3.1.relu has outliers [  0  12  14  15  17  18  22  28  34  35  38  54  60  64  72  73  83  85\n",
      " 100 101 111 119 126 130 144 146 151 162 165 176 179 180 192 198 209 213\n",
      " 221 226 229 240 241 247 251]\n",
      "image # 6426, layer # layer3.1.relu has outliers [  2  14  15  18  19  51  54  73  81 106 111 118 126 139 144 150 151 156\n",
      " 161 162 165 166 170 172 179 180 197 198 200 205 209 213 221 223 225 230\n",
      " 236 241 251]\n",
      "image # 6436, layer # layer3.1.relu has outliers [  0  14  15  18  19  28  33  41  51  63  64  73  74  85  88 101 111 130\n",
      " 132 139 141 146 150 151 161 162 166 172 174 179 180 197 198 213 216 221\n",
      " 224 225 229 231 239 247 251]\n",
      "image # 6499, layer # layer3.1.relu has outliers [  0  14  15  17  19  34  54  83 111 118 132 139 144 146 147 151 160 166\n",
      " 172 180 196 197 221 223 225 229 236 241 251]\n",
      "image # 6513, layer # layer3.1.relu has outliers [  0  18  19  23  34  38  44  55  96 106 110 111 118 123 132 139 147 161\n",
      " 164 170 172 177 180 182 188 197 200 205 224 225 229 231 236 251 254]\n",
      "image # 6614, layer # layer3.1.relu has outliers [ 18  19  47  54  92  93 101 110 118 128 130 132 139 142 147 160 161 162\n",
      " 166 171 172 174 180 182 188 197 200 205 208 229 236 251]\n",
      "image # 6747, layer # layer3.1.relu has outliers [  0  19  54  81  93 106 110 111 126 130 142 144 147 151 156 166 168 174\n",
      " 179 180 187 188 197 198 200 210 215 221 223 225 229 231 236 251]\n",
      "image # 6824, layer # layer3.1.relu has outliers [  0   2  18  19  23  40  47  54  55  60  72  73  87  91  93 111 123 131\n",
      " 132 141 166 171 172 174 177 180 182 187 197 200 205 208 221 228 229 231\n",
      " 236 237 251]\n",
      "image # 6908, layer # layer3.1.relu has outliers [  0   9  16  19  47  72  84  96 101 111 113 119 123 130 132 142 144 150\n",
      " 151 156 161 166 171 172 179 180 188 197 198 208 209 224 225 231 236 248\n",
      " 251 254]\n",
      "image # 6931, layer # layer3.1.relu has outliers [  0  18  19  47  54  55 101 111 118 123 126 131 132 139 141 144 146 151\n",
      " 161 164 166 171 172 177 179 180 196 197 205 208 213 215 224 229 231 236\n",
      " 241 246 247 251]\n",
      "image # 6972, layer # layer3.1.relu has outliers [  2  14  19  28  29  38  47  54  57  71  72  87  91 100 103 122 128 131\n",
      " 132 141 142 146 148 150 151 159 165 166 172 176 177 179 180 186 198 201\n",
      " 208 209 225 229 231 236 241 251]\n",
      "image # 6974, layer # layer3.1.relu has outliers [  0  16  19  34  54  62  88  94  97 101 118 132 139 141 146 161 164 171\n",
      " 172 174 177 179 180 182 188 197 200 205 215 223 225 226 229 236 241 251]\n",
      "image # 7114, layer # layer3.1.relu has outliers [  0  14  17  18  19  51  63  64  81  85  94 101 106 110 111 118 126 130\n",
      " 139 142 144 146 147 151 161 162 166 179 180 187 188 197 209 213 224 225\n",
      " 230 232 245 247 250 251]\n",
      "image # 7232, layer # layer3.1.relu has outliers [ 14  17  18  28  38  63  75  86  94 101 111 126 139 144 146 160 162 165\n",
      " 179 180 186 192 197 210 213 215 217 221 224 229 236 241 247 250 251]\n",
      "image # 7243, layer # layer3.1.relu has outliers [ 12  18  22  40  47  64  67  73 100 101 106 111 126 128 130 132 133 139\n",
      " 144 146 147 151 161 162 164 166 175 179 180 196 197 205 210 213 224 225\n",
      " 229 231 236 241 251]\n",
      "image # 7310, layer # layer3.1.relu has outliers [  0   1  11  17  18  19  34  51  62  64  97 101 111 118 130 132 139 141\n",
      " 142 144 146 147 162 174 179 180 188 192 197 198 205 213 221 224 225 229\n",
      " 241 250 251]\n",
      "image # 7357, layer # layer3.1.relu has outliers [ 16  47  54  55  81  91  93 101 104 113 123 126 141 142 144 150 156 161\n",
      " 166 171 177 179 180 182 197 200 205 208 215 221 228 230 231 236 241 250\n",
      " 251]\n",
      "image # 7370, layer # layer3.1.relu has outliers [  2  15  18  41  47  54  71  72  91 101 111 118 133 139 140 144 147 150\n",
      " 151 159 161 162 164 166 172 176 179 180 188 197 208 210 213 225 228 229\n",
      " 231 236 251]\n",
      "image # 7385, layer # layer3.1.relu has outliers [ 10  14  17  18  19  22  38  54  63  83 101 106 107 111 118 126 139 144\n",
      " 146 151 156 160 161 165 166 180 183 197 205 215 217 221 224 229 241 245\n",
      " 251]\n",
      "image # 7416, layer # layer3.1.relu has outliers [ 11  14  17  18  19  22  34  35  38  51  54  64 101 103 111 118 130 132\n",
      " 139 144 146 151 160 162 166 167 179 180 200 205 209 213 217 221 225 241\n",
      " 247 251]\n",
      "image # 7494, layer # layer3.1.relu has outliers [  2   4  14  18  22  47  51  54  64  72  74  85  87  97 101 110 111 118\n",
      " 123 130 139 146 147 151 159 161 162 164 172 174 180 187 188 197 205 213\n",
      " 229 231 236 241 250 251]\n",
      "image # 7504, layer # layer3.1.relu has outliers [  2  10  18  19  38  47  54  55  64  72  85  91 101 106 110 111 113 126\n",
      " 131 139 142 147 150 161 164 177 179 180 182 188 197 205 208 210 213 229\n",
      " 231 236 241 251]\n",
      "image # 7515, layer # layer3.1.relu has outliers [ 12  19  22  63  64  74  83  85  88 111 118 126 128 130 139 144 146 147\n",
      " 148 151 161 162 172 179 180 187 196 197 200 224 226 231 241 251]\n",
      "image # 7659, layer # layer3.1.relu has outliers [  0  16  18  19  22  51  86 101 110 111 118 132 139 141 142 144 146 147\n",
      " 151 161 164 165 166 172 177 180 182 192 197 204 213 217 221 224 225 229\n",
      " 250 251]\n",
      "image # 7725, layer # layer3.1.relu has outliers [  0  12  14  17  18  29  34  51  63  81 101 106 110 111 118 132 139 141\n",
      " 144 146 147 151 161 162 166 174 179 197 204 213 217 221 224 225 229 230\n",
      " 236 241 245 247 250 251]\n",
      "image # 7781, layer # layer3.1.relu has outliers [  1   3  15  19  28  54  55  63  64  86  87  91  92 101 103 120 126 128\n",
      " 132 141 142 144 146 151 162 177 179 180 186 191 198 209 210 221 225 229\n",
      " 236 241 248 251]\n",
      "image # 7828, layer # layer3.1.relu has outliers [  0  14  19  47  51  54  55  62  72  83 100 101 111 118 120 132 139 144\n",
      " 146 147 151 161 164 166 172 176 179 180 197 208 210 213 221 224 231 236\n",
      " 241 247 250 251]\n",
      "image # 7915, layer # layer3.1.relu has outliers [  1  11  14  17  18  19  38  54  64  81  87  91 101 111 126 130 132 144\n",
      " 146 151 156 161 162 165 166 174 179 180 187 196 197 198 205 209 213 221\n",
      " 224 229 231 236 241 251]\n",
      "image # 7933, layer # layer3.1.relu has outliers [ 15  19  23  47  51  64  68  71  74  87  91 106 107 113 132 135 142 143\n",
      " 147 148 156 161 162 171 172 177 179 180 182 186 187 188 197 209 210 228\n",
      " 236 241 251]\n",
      "image # 7969, layer # layer3.1.relu has outliers [  0  14  15  18  19  47  51  54  62  88  94 101 110 111 118 131 132 141\n",
      " 142 146 147 150 152 161 162 176 179 180 188 197 210 213 224 229 231 236\n",
      " 239 247 250 251]\n",
      "image # 8081, layer # layer3.1.relu has outliers [  0  18  38  47  51 101 111 118 128 130 132 139 144 146 147 150 151 161\n",
      " 162 166 170 177 180 188 197 213 224 229 231 236 250 251]\n",
      "image # 8135, layer # layer3.1.relu has outliers [  0  14  18  19  41  88 101 107 111 118 132 135 139 141 144 146 147 150\n",
      " 151 161 162 164 166 170 172 180 197 205 213 221 224 225 229 231 236 247\n",
      " 250 251]\n",
      "image # 8138, layer # layer3.1.relu has outliers [  0  19  22  54  55  63  72  83  87 101 113 116 119 126 132 141 144 146\n",
      " 147 150 151 156 161 162 166 177 179 180 197 205 208 209 217 221 224 225\n",
      " 229 230 231 236 237 251]\n",
      "image # 8161, layer # layer3.1.relu has outliers [  0   1  18  19  54  64  71  87  94 101 111 118 126 128 132 139 144 146\n",
      " 147 151 161 166 179 180 196 197 198 205 208 209 213 229 231 236 241 250\n",
      " 251]\n",
      "image # 8174, layer # layer3.1.relu has outliers [  1   2   4  21  47  54  71  72  87  91  94 100 101 111 113 118 119 123\n",
      " 126 130 132 146 156 161 162 166 174 176 179 180 182 198 200 205 208 209\n",
      " 225 230 231 236 237 241 251]\n",
      "image # 8253, layer # layer3.1.relu has outliers [ 14  15  19  38  54  63  64  73  83  91 111 118 122 123 126 132 139 148\n",
      " 150 151 162 179 180 188 189 197 198 205 213 225 229 236 241 251]\n",
      "image # 8273, layer # layer3.1.relu has outliers [  0  11  18  19  54  64  68  87 106 110 123 132 139 144 147 148 151 161\n",
      " 166 172 174 177 179 180 182 196 197 200 209 210 215 224 225 231 236 241\n",
      " 251]\n",
      "image # 8342, layer # layer3.1.relu has outliers [  0   2  14  18  19  21  23  47  51  54  84  91 101 106 107 111 118 142\n",
      " 147 150 161 162 164 166 177 180 188 197 205 208 209 213 221 229 231 236\n",
      " 251]\n",
      "image # 8353, layer # layer3.1.relu has outliers [  0  19  47  83  91 101 106 111 132 139 141 144 146 151 161 162 166 174\n",
      " 179 180 188 197 205 208 209 210 213 221 225 229 231 236 247 250 251]\n",
      "image # 8358, layer # layer3.1.relu has outliers [  0  14  17  18  19  22  38  51  54  61  64  88 101 111 118 141 144 146\n",
      " 149 151 162 166 174 180 197 200 213 221 223 225 229 231 239 241 251]\n",
      "image # 8372, layer # layer3.1.relu has outliers [ 14  19  33  47  54  55  62  72  87  88 101 120 141 144 150 159 161 164\n",
      " 166 167 174 179 180 182 188 197 205 209 210 213 225 231 236 250 251]\n",
      "image # 8535, layer # layer3.1.relu has outliers [  0   2  54  63  64  71  85  87  88  89 100 101 111 123 130 132 141 146\n",
      " 151 159 162 164 166 177 179 180 188 205 208 210 224 229 231 236 241 251]\n",
      "image # 8544, layer # layer3.1.relu has outliers [ 19  47  51  54  55  64  68  91 101 139 141 144 146 147 161 166 172 177\n",
      " 179 180 182 197 205 208 209 210 213 221 229 237 241 251]\n",
      "image # 8612, layer # layer3.1.relu has outliers [  1  19  22  51  54  55  64  66  94 103 111 118 139 141 142 144 160 161\n",
      " 165 166 168 177 179 180 197 198 200 210 215 217 221 224 225 229 236 241\n",
      " 251]\n",
      "image # 8717, layer # layer3.1.relu has outliers [  0  11  18  19  51  63  64  73  86 101 111 118 126 130 132 139 144 146\n",
      " 147 150 151 161 162 166 179 180 196 197 198 205 209 213 217 223 224 225\n",
      " 229 236 241 247 250 251]\n",
      "image # 8755, layer # layer3.1.relu has outliers [  0   2  18  47  54  72  84  92 101 111 118 120 139 146 147 150 161 164\n",
      " 166 177 179 180 188 197 198 208 221 229 231 236 250 251]\n",
      "image # 8800, layer # layer3.1.relu has outliers [  0  19  22  34  51  54  63  64  73  88  97 110 118 123 126 132 139 142\n",
      " 146 151 159 161 162 164 166 172 179 180 197 206 209 213 225 229 231 236\n",
      " 241 251]\n",
      "image # 8909, layer # layer3.1.relu has outliers [  0  18  19  29  41  47  51  54  63  64  68  81  91  94 101 103 110 111\n",
      " 118 132 141 142 144 146 148 151 161 162 166 171 174 177 179 180 197 200\n",
      " 208 215 221 223 224 225 229 231 236 251]\n",
      "image # 8923, layer # layer3.1.relu has outliers [ 14  17  18  19  64  81  83  90 101 111 118 122 126 128 139 146 147 151\n",
      " 161 166 179 180 197 205 209 213 225 230 231 236 237 239 251]\n",
      "image # 8930, layer # layer3.1.relu has outliers [  0  11  12  17  18  38  44  60  84  94 101 110 111 118 132 139 142 144\n",
      " 146 151 161 164 166 180 192 197 205 213 221 223 224 229 231 236 247 251]\n",
      "image # 8933, layer # layer3.1.relu has outliers [  0   4  12  18  19  47  72  92 106 111 118 119 126 132 139 144 147 151\n",
      " 156 161 166 180 188 197 198 208 209 213 221 225 229 230 231 236 251]\n",
      "image # 8996, layer # layer3.1.relu has outliers [ 14  15  17  18  22  38  61  63  75  83  85  89 106 111 132 139 146 151\n",
      " 162 165 166 183 186 187 192 196 197 200 204 213 217 221 224 225 230 236\n",
      " 241 247 251]\n",
      "image # 9047, layer # layer3.1.relu has outliers [  0  12  18  19  64  74  97 106 111 118 123 132 139 144 146 148 151 156\n",
      " 161 162 166 172 174 179 180 187 188 189 197 198 213 221 223 225 229 231\n",
      " 236 241 247 251]\n",
      "image # 9111, layer # layer3.1.relu has outliers [  2  11  18  19  47  51  54  71  84  85  91 101 106 111 118 132 135 142\n",
      " 146 147 151 161 162 164 166 174 176 180 197 198 200 208 213 216 221 225\n",
      " 229 231 241 251]\n",
      "image # 9208, layer # layer3.1.relu has outliers [  0  10  18  38  51  54  55  87  92  93 101 110 111 139 141 146 147 161\n",
      " 170 177 179 180 182 188 197 205 224 225 229 236 241 250 251]\n",
      "image # 9320, layer # layer3.1.relu has outliers [ 12  18  19  22  53  83  85  88  96 100 101 106 111 118 126 128 130 132\n",
      " 139 144 151 161 162 165 179 180 197 198 208 209 213 215 225 230 231 236\n",
      " 241 247 250 251]\n",
      "image # 9333, layer # layer3.1.relu has outliers [  0  12  18  19  51  63  64  66  89  92  97 101 106 111 139 141 144 146\n",
      " 147 148 161 162 165 166 172 179 180 187 197 215 221 224 225 241 251]\n",
      "image # 9585, layer # layer3.1.relu has outliers [  0  10  14  19  38  64  66 101 105 106 110 111 123 139 141 144 146 160\n",
      " 162 164 166 168 169 174 180 186 187 192 196 197 204 205 217 221 229 241\n",
      " 247 251]\n",
      "image # 9597, layer # layer3.1.relu has outliers [  0  14  15  18  19  51  64  85  90 101 111 118 130 132 139 141 144 146\n",
      " 147 150 151 161 162 164 166 172 180 198 208 213 216 221 224 225 229 245\n",
      " 251]\n",
      "image # 9598, layer # layer3.1.relu has outliers [ 14  18  19  47  51  54  55  63  64  91 101 107 111 120 131 139 141 144\n",
      " 147 150 161 162 177 179 180 182 188 190 197 200 205 210 221 251]\n",
      "image # 9611, layer # layer3.1.relu has outliers [  0  21  22  38  54  55  68  71  72  88  93  96 100 104 111 119 123 126\n",
      " 128 132 142 144 146 150 159 161 166 174 177 179 180 197 208 209 210 215\n",
      " 231 236 251]\n",
      "image # 9655, layer # layer3.1.relu has outliers [  0  15  19  23  38  47  72  73  91 100 101 106 110 111 131 132 139 141\n",
      " 142 146 147 151 161 162 166 170 179 180 186 197 205 208 210 213 221 224\n",
      " 229 231 235 236 251]\n",
      "image # 9716, layer # layer3.1.relu has outliers [  0  14  17  18  19  38  47  54  60  72  81  91 101 103 111 132 139 144\n",
      " 146 160 162 166 167 168 174 179 180 196 197 209 213 215 221 229 230 231\n",
      " 241 251]\n",
      "image # 9807, layer # layer3.1.relu has outliers [ 17  19  22  29  38  51  55  63  74  86 101 111 120 124 141 144 146 151\n",
      " 156 161 162 172 177 179 180 187 190 197 213 217 221 224 229 236 250 251]\n",
      "image # 9854, layer # layer3.1.relu has outliers [  0  19  34  51  64  74  88  96 107 111 131 132 135 139 140 141 142 146\n",
      " 147 148 162 166 172 177 179 180 197 200 224 225 231 236 251]\n",
      "image # 9870, layer # layer3.1.relu has outliers [  0  14  15  18  19  22  41  47  51  63  64  71  73  74  85  97 101 111\n",
      " 118 123 130 141 142 144 147 151 161 162 166 174 180 200 213 221 225 229\n",
      " 231 241 249 251]\n",
      "image # 9914, layer # layer3.1.relu has outliers [  2  18  19  41  47  51  71  84  85  97 101 106 111 118 132 135 147 150\n",
      " 151 156 161 162 164 166 172 180 188 197 198 205 208 213 221 225 228 229\n",
      " 231 236 250 251]\n",
      "image # 9937, layer # layer3.1.relu has outliers [  0  19  23  41  54  71  88 107 110 111 118 130 142 144 147 148 150 161\n",
      " 166 170 172 174 177 179 180 188 197 198 200 221 224 229 230 231 236 250\n",
      " 251]\n",
      "image # 10055, layer # layer3.1.relu has outliers [  2  15  19  22  41  47  54  71  88 101 111 118 126 128 139 144 146 151\n",
      " 159 161 166 174 176 179 180 188 189 197 198 200 205 208 213 225 229 231\n",
      " 236 251]\n",
      "image # 10087, layer # layer3.1.relu has outliers [  0  23  54  64  87  91 100 101 111 118 123 130 132 139 141 142 144 146\n",
      " 147 151 161 162 164 166 168 170 172 174 179 180 187 196 197 209 210 213\n",
      " 224 229 231 236 241 246 251]\n",
      "image # 10129, layer # layer3.1.relu has outliers [  0   2  15  19  31  47  54  57  81 101 106 111 128 141 142 144 146 147\n",
      " 150 151 159 160 161 165 166 174 176 177 179 180 188 191 197 198 208 209\n",
      " 210 213 221 229 231 241 250 251]\n",
      "image # 10156, layer # layer3.1.relu has outliers [  0  12  19  22  38  47  54  64  83  91 101 123 141 144 146 159 160 161\n",
      " 162 166 172 180 182 187 196 197 205 209 226 229 231 241 246 251]\n",
      "image # 10193, layer # layer3.1.relu has outliers [  0   2   7  18  41  44  47  54  55  71  72  85  87  92 106 111 120 139\n",
      " 141 142 147 161 164 166 177 180 182 188 197 208 215 224 229 231 236 251]\n",
      "image # 10209, layer # layer3.1.relu has outliers [ 10  12  14  17  18  33  63  83  97 105 106 111 132 139 141 146 151 160\n",
      " 161 162 166 169 172 174 179 180 187 196 197 213 221 224 225 229 239 241\n",
      " 247 251]\n",
      "image # 10225, layer # layer3.1.relu has outliers [ 11  17  18  44  51  62 101 111 131 132 139 141 144 146 147 151 161 164\n",
      " 166 168 171 172 174 180 197 205 210 213 221 223 224 226 229 236 239 241\n",
      " 250 251]\n",
      "image # 10251, layer # layer3.1.relu has outliers [ 15  18  22  33  34  47  51  54  57  63  71  72  73  92  94 101 110 139\n",
      " 141 142 144 146 147 150 161 162 164 166 179 180 197 205 210 213 221 229\n",
      " 241 251]\n",
      "image # 10259, layer # layer3.1.relu has outliers [  7  15  18  19  63  64  73  85  89  91 101 106 111 118 126 128 131 139\n",
      " 146 147 151 161 162 166 171 172 179 180 188 196 197 209 210 221 224 225\n",
      " 236 241 251]\n",
      "image # 10263, layer # layer3.1.relu has outliers [  0  14  19  23  38  51  66 107 110 111 118 123 135 139 141 146 159 160\n",
      " 162 165 166 170 172 177 179 180 185 186 196 197 204 210 217 224 229 251]\n",
      "image # 10269, layer # layer3.1.relu has outliers [  0  10  11  15  47  54  57  62 101 110 111 118 132 139 141 142 144 146\n",
      " 151 161 165 166 174 176 177 179 180 197 200 205 208 210 213 221 223 224\n",
      " 229 231 236 251]\n",
      "image # 10273, layer # layer3.1.relu has outliers [  0   1  18  19  47  51  63  64  66 101 106 107 110 111 139 141 142 146\n",
      " 147 156 161 162 165 166 168 170 172 174 177 179 180 182 187 196 197 200\n",
      " 209 210 215 221 224 229 241 251]\n",
      "image # 10297, layer # layer3.1.relu has outliers [  0   9  19  55  85  87  91 101 106 111 113 123 130 131 132 144 146 147\n",
      " 159 161 162 166 172 177 179 180 182 188 191 197 200 209 228 229 231 236\n",
      " 248 250 251]\n",
      "image # 10343, layer # layer3.1.relu has outliers [  0  19  47  54  55  64  81  83 101 111 118 123 126 130 132 139 142 144\n",
      " 147 151 161 174 180 188 197 198 208 215 229 231 236 251]\n",
      "image # 10377, layer # layer3.1.relu has outliers [  1   2   4  15  18  19  21  47  54  63  64  80  91 107 122 141 144 146\n",
      " 147 161 162 165 168 174 179 180 188 197 198 205 208 221 231 236 241 250\n",
      " 251]\n",
      "image # 10385, layer # layer3.1.relu has outliers [  0  18  19  47  54  55  72  85  92  93 100 101 111 126 139 141 144 147\n",
      " 156 161 166 171 177 179 180 197 208 209 210 215 221 225 230 231 236 251]\n",
      "image # 10398, layer # layer3.1.relu has outliers [  0  14  18  19  38  47  51  54  64  87 100 106 111 118 139 142 146 147\n",
      " 151 161 162 171 172 179 180 182 187 197 209 210 213 215 225 231 236 241\n",
      " 251]\n",
      "image # 10418, layer # layer3.1.relu has outliers [  2  15  22  41  47  51  54  60  71  83  88  91 123 126 132 133 135 144\n",
      " 146 161 166 168 172 179 180 197 198 205 208 221 229 231 236 241 251]\n",
      "image # 10513, layer # layer3.1.relu has outliers [  0   9  18  23  34  54  55  64  92  93 110 139 142 147 148 166 170 171\n",
      " 172 177 179 180 182 197 200 209 210 215 224 225 229 236 251]\n",
      "image # 10524, layer # layer3.1.relu has outliers [  0  10  18  19  54  64  81  83 111 118 122 128 139 144 146 147 148 151\n",
      " 159 166 172 177 179 180 196 197 200 205 215 223 225 230 236 241 251]\n",
      "image # 10705, layer # layer3.1.relu has outliers [ 14  16  19  33  51  63  72  83  88 101 111 118 119 126 132 139 144 146\n",
      " 147 151 156 161 162 164 166 170 172 179 180 196 197 205 208 209 211 213\n",
      " 225 229 230 231 236 247 251]\n",
      "image # 10817, layer # layer3.1.relu has outliers [  0  11  17  18  19  64 101 106 110 111 118 126 132 139 142 144 146 147\n",
      " 150 151 161 165 166 172 179 180 197 198 209 210 213 224 225 226 229 245\n",
      " 247 250 251]\n",
      "image # 10818, layer # layer3.1.relu has outliers [  0  18  19  38  47  51  54  72  75  86 101 103 105 111 118 139 144 147\n",
      " 150 151 159 161 164 168 170 174 176 177 179 180 187 188 189 197 198 203\n",
      " 208 213 229 251]\n",
      "image # 10821, layer # layer3.1.relu has outliers [  0  10  14  15  18  38  61  64  73  80  88 100 101 111 126 131 132 139\n",
      " 144 146 151 161 162 172 174 179 180 187 196 197 198 205 209 213 217 225\n",
      " 229 231 236 239 241 251]\n",
      "image # 10866, layer # layer3.1.relu has outliers [ 16  19  54  68  81  87  93  97 105 106 111 118 132 139 151 161 162 174\n",
      " 177 179 180 182 188 197 198 200 210 215 224 225 230 236 241 251 254]\n",
      "image # 10946, layer # layer3.1.relu has outliers [  0  10  11  14  18  19  22  41  63  64  67  87  88  92 105 111 126 128\n",
      " 130 131 132 139 142 143 146 147 151 160 161 162 166 169 174 179 196 197\n",
      " 210 236 239 241 251]\n",
      "layer layer3.2.relu\n",
      "image # 130, layer # layer3.2.relu has outliers [  2  15  18  23  35  54  57  71  73  83  91 100 101 111 118 130 132 133\n",
      " 139 141 147 150 151 159 160 161 162 166 176 179 182 198 205 209 210 225\n",
      " 236]\n",
      "image # 135, layer # layer3.2.relu has outliers [ 15  19  21  40  63  64  73  83  88  91  92  93  97 100 107 110 128 139\n",
      " 140 141 147 151 159 160 162 179 187 200 209 210 225 241 251]\n",
      "image # 250, layer # layer3.2.relu has outliers [  0   1  18  19  47  51  54  63  64  66  81  83 101 110 113 118 119 123\n",
      " 126 132 141 151 159 160 162 166 174 176 177 179 182 187 198 200 205 210\n",
      " 215 221 225 229 230 236 241]\n",
      "image # 383, layer # layer3.2.relu has outliers [  3  15  16  18  19  63  73  81  83 107 110 111 118 123 130 132 139 141\n",
      " 148 162 170 171 177 179 182 183 188 198 200 209 210 214 221 225 231]\n",
      "image # 399, layer # layer3.2.relu has outliers [  0  10  14  15  18  19  31  33  57  63 101 111 130 131 135 139 141 147\n",
      " 151 161 172 180 198 210 213 223 241 250 251]\n",
      "image # 519, layer # layer3.2.relu has outliers [  0   3  11  14  19  51  54  64  66  85  87  91 110 111 118 131 141 151\n",
      " 159 160 161 166 170 174 177 179 182 187 200 204 205 206 210 217 225 229\n",
      " 237 240 241 251]\n",
      "image # 540, layer # layer3.2.relu has outliers [  0  10  14  17  18  28  63  64  83  91 101 110 111 118 119 120 126 128\n",
      " 130 132 139 141 147 151 162 179 182 196 198 214 224 225 229 230 236 241]\n",
      "image # 551, layer # layer3.2.relu has outliers [  0   2   9  11  19  35  47  54  81  83  94 101 110 111 116 118 130 131\n",
      " 132 139 141 142 150 151 159 160 161 166 182 188 197 198 205 225 228 246]\n",
      "image # 579, layer # layer3.2.relu has outliers [  1  10  19  29  47  51  54  57  63  64  81  91 101 104 110 111 118 128\n",
      " 130 139 141 147 148 150 151 161 162 166 170 176 179 182 185 186 200 205\n",
      " 209 213 221 225 251]\n",
      "image # 739, layer # layer3.2.relu has outliers [  0   1   4   6  12  18  19  54  55  62  64  71  81  85  87  91 101 110\n",
      " 111 118 151 159 162 166 176 177 179 182 187 198 200 209 215 225 240 241\n",
      " 251]\n",
      "image # 751, layer # layer3.2.relu has outliers [  0   7  10  14  15  18  57  62  63  64  83  88  91 100 101 107 111 128\n",
      " 130 139 147 151 159 160 162 166 176 187 198 210 214 239 241 251]\n",
      "image # 818, layer # layer3.2.relu has outliers [  2  55  62  63  68  71  83 104 111 118 130 132 139 141 147 148 151 156\n",
      " 161 166 170 177 179 182 183 188 198 209 221 224 225 231 236 254]\n",
      "image # 821, layer # layer3.2.relu has outliers [ 11  19  64  68  71  81  83  87 104 110 111 118 130 132 144 147 148 151\n",
      " 156 160 166 170 171 177 179 182 188 198 200 205 225 229 236 250]\n",
      "image # 878, layer # layer3.2.relu has outliers [  0  10  18  19  47  54  55  57  62  64  71  73  91 101 110 111 118 139\n",
      " 141 147 150 156 159 161 167 171 177 179 182 187 188 197 198 200 205 209\n",
      " 210 231]\n",
      "image # 907, layer # layer3.2.relu has outliers [ 19  23  44  54  57  64  81  90  94 103 104 110 111 118 123 128 130 131\n",
      " 132 139 141 147 151 160 171 177 179 182 197 200 205 229 231 236]\n",
      "image # 1042, layer # layer3.2.relu has outliers [ 16  19  54  62  64  83  87  91 104 118 132 137 141 151 159 160 162 176\n",
      " 179 180 182 183 185 187 200 211 215 221 225 230 241 251]\n",
      "image # 1134, layer # layer3.2.relu has outliers [  0   2  14  18  19  22  47  51  54  57  72  83 101 110 111 113 118 130\n",
      " 139 141 144 147 151 156 161 166 179 182 185 198 205 209 213 214 225 241\n",
      " 250]\n",
      "image # 1195, layer # layer3.2.relu has outliers [  0   6  10  18  19  21  64  81  83 101 111 118 119 128 130 132 139 147\n",
      " 148 151 161 162 166 179 183 186 188 198 200 209 214 225 230 241 247 254]\n",
      "image # 1207, layer # layer3.2.relu has outliers [  2  14  15  17  18  35  51  54  61  63  64  73  83  85  88 100 111 118\n",
      " 123 128 130 132 139 148 151 159 162 198 205 225 230 236 239 241]\n",
      "image # 1250, layer # layer3.2.relu has outliers [  2  10  14  21  29  31  51  54  61  64  71  81  83  85  91 100 101 111\n",
      " 118 126 128 132 141 147 151 156 159 160 162 179 185 198 200 201 205 225\n",
      " 230 241]\n",
      "image # 1285, layer # layer3.2.relu has outliers [  2  12  14  15  19  21  35  54  57  81  83  85  91 101 113 116 130 133\n",
      " 141 147 151 156 161 166 179 180 182 188 198 205 209 210 225 241 254]\n",
      "image # 1296, layer # layer3.2.relu has outliers [  0   7  10  11  18  19  39  54  63  73  77  81  83  92  94 101 110 111\n",
      " 118 122 128 130 132 139 147 151 160 161 166 198 200 205 209 214 225 231\n",
      " 236 237 253]\n",
      "image # 1382, layer # layer3.2.relu has outliers [  0   7  15  16  18  19  35  53  54  64  85  89  97 103 113 118 119 123\n",
      " 130 132 139 141 151 159 160 166 182 187 196 198 200 205 225 230 241 251]\n",
      "image # 1392, layer # layer3.2.relu has outliers [  2   3   6  14  18  22  28  54  63  83  92 100 101 104 106 110 111 113\n",
      " 126 130 132 139 147 148 151 159 162 166 179 180 198 205 214 217 225 230\n",
      " 236 241 251]\n",
      "image # 1451, layer # layer3.2.relu has outliers [  0   6  16  18  19  21  63  64  85 110 111 118 123 126 130 135 139 141\n",
      " 147 148 151 161 166 171 179 182 185 187 204 214 221 223 224 225 229 241\n",
      " 254]\n",
      "image # 1457, layer # layer3.2.relu has outliers [  2   4  10  14  19  22  47  54  64  70  83  85  91 103 104 105 111 113\n",
      " 118 119 142 151 159 162 166 174 176 179 182 185 187 197 198 201 205 209\n",
      " 225 236 241 251]\n",
      "image # 1520, layer # layer3.2.relu has outliers [  2  19  21  51  54  57  64  71  81  83  87  90  91 100 101 103 116 118\n",
      " 123 130 132 141 144 150 151 153 159 161 162 166 174 179 182 189 198 200\n",
      " 203 205 209 210 221 225 231 241]\n",
      "image # 1545, layer # layer3.2.relu has outliers [ 14  18  19  47  57  71  73  81  83 101 111 118 130 133 139 141 151 160\n",
      " 162 166 173 179 185 198 205 209 217 221 225 251]\n",
      "image # 1724, layer # layer3.2.relu has outliers [  0   1   9  11  18  54  55  64  90  91 101 111 118 124 130 139 141 147\n",
      " 151 159 160 161 162 171 177 179 182 187 188 191 198 209 210]\n",
      "image # 1777, layer # layer3.2.relu has outliers [  0   1  14  16  18  19  21  29  61  63  64  73  81  83  85  92  94 104\n",
      " 118 120 123 126 128 131 132 139 141 147 151 162 179 182 185 187 189 198\n",
      " 200 214 225 231 236]\n",
      "image # 1846, layer # layer3.2.relu has outliers [  2   9  11  14  15  19  35  51  54  63  64  73  83  85  91 101 111 118\n",
      " 119 122 123 130 132 151 152 159 160 162 166 176 179 182 185 186 187 198\n",
      " 200 205 225 230 240 241 251]\n",
      "image # 1864, layer # layer3.2.relu has outliers [  0  10  17  18  19  51  55  61  83  86  92 101 111 118 126 130 132 139\n",
      " 147 151 156 162 170 179 182 192 198 204 205 217 221 225 230 247]\n",
      "image # 1912, layer # layer3.2.relu has outliers [  0  11  14  17  18  19  35  38  51  55  57  83  86  90 101 111 119 128\n",
      " 130 132 141 144 150 151 156 161 162 176 179 196 198 201 205 209 213 221\n",
      " 224 225 229 236 244 246]\n",
      "image # 1969, layer # layer3.2.relu has outliers [  1  12  19  21  40  54  62  64  83  91 101 104 107 118 123 130 139 141\n",
      " 148 151 160 162 166 179 182 187 188 189 198 200 209 210 214 225 241 251]\n",
      "image # 1970, layer # layer3.2.relu has outliers [  0   2  10  11  12  14  15  18  35  51  54  62  63  64  73  83  85 111\n",
      " 116 118 122 128 130 131 132 139 141 147 148 151 159 162 166 173 176 187\n",
      " 189 198 205 213 225 236 239 241 251 253 254]\n",
      "image # 2006, layer # layer3.2.relu has outliers [  0   2  19  44  57  62  63  64  81  94 101 110 111 118 130 132 139 140\n",
      " 141 148 151 160 161 162 166 176 179 188 205 209 210 213 221 225 229 236\n",
      " 250 251]\n",
      "image # 2025, layer # layer3.2.relu has outliers [  0  10  14  18  19  21  47  51  64  73  81  83  92 101 111 118 128 130\n",
      " 139 141 147 151 161 166 188 198 205 209 214 225 229]\n",
      "image # 2117, layer # layer3.2.relu has outliers [  0  15  18  19  47  53  57  64  73  77  81 101 107 111 118 119 128 130\n",
      " 132 147 148 150 151 161 162 166 179 182 188 189 198 204 221 225 239 247]\n",
      "image # 2269, layer # layer3.2.relu has outliers [  3  10  19  23  47  63  83 101 103 110 118 128 130 131 132 139 141 142\n",
      " 147 151 160 162 170 171 179 182 188 200 205 206 224 225 254]\n",
      "image # 2421, layer # layer3.2.relu has outliers [  0  16  17  19  35  53  63  64  85 101 110 111 130 141 151 161 162 177\n",
      " 179 180 182 188 198 210 221 223 224 225 226 229 250]\n",
      "image # 2524, layer # layer3.2.relu has outliers [  1  14  18  51  62  63  64  91 101 111 118 128 130 139 141 147 151 159\n",
      " 162 166 176 179 182 187 188 210 214 225 241 251]\n",
      "image # 2530, layer # layer3.2.relu has outliers [  1  16  18  19  22  35  55  64  71  72  83  87  92  97 100 101 110 111\n",
      " 139 151 156 162 170 177 179 180 182 185 187 188 198 200 205 209 210 221\n",
      " 225 228 241 251]\n",
      "image # 2565, layer # layer3.2.relu has outliers [  2   9  14  15  19  21  22  47  54  66  70  83  85  91 101 104 110 113\n",
      " 141 151 155 156 159 160 162 166 176 179 182 186 187 198 201 209 225 228\n",
      " 230 241 247 251]\n",
      "image # 2635, layer # layer3.2.relu has outliers [  0  17  19  54  64  73  81  83  96 104 110 111 123 130 139 141 147 151\n",
      " 156 160 161 171 174 179 182 200 204 210 217 221 225 229 254]\n",
      "image # 2638, layer # layer3.2.relu has outliers [  0   2  18  19  35  47  51  55  57  64  83 101 104 111 118 128 130 139\n",
      " 140 141 147 151 161 162 166 170 177 179 182 188 196 197 198 205 209 210\n",
      " 225 251]\n",
      "image # 2727, layer # layer3.2.relu has outliers [  0   3  14  15  18  23  51  57  63  91  92 101 111 113 118 130 132 139\n",
      " 141 147 151 156 159 161 166 176 179 182 188 197 198 205 209 225 229 236\n",
      " 248]\n",
      "image # 2817, layer # layer3.2.relu has outliers [ 14  16  19  51  63  71  91 107 110 118 123 128 130 134 139 141 147 160\n",
      " 162 166 176 182 188 198 200 205 210 214 225 229 234 241 244 251]\n",
      "image # 2937, layer # layer3.2.relu has outliers [  0  17  51  54  55  63  64  83  86  94 110 111 118 123 130 132 139 141\n",
      " 151 156 160 162 171 177 179 182 198 200 205 209 217 225 229 230 241]\n",
      "image # 2942, layer # layer3.2.relu has outliers [ 10  15  39  54  55  57  71  83  91  93  94 100 101 120 128 139 141 147\n",
      " 148 150 159 161 171 177 182 188 200 205 209 210 214 217 225 234 237 246\n",
      " 251]\n",
      "image # 2962, layer # layer3.2.relu has outliers [  0   7  11  12  14  19  35  47  51  57  63  64  74  81  83  88 101 111\n",
      " 118 123 130 133 135 139 141 147 151 152 159 161 166 182 187 189 198 213\n",
      " 228 241 251]\n",
      "image # 3065, layer # layer3.2.relu has outliers [  0  11  14  15  18  51  52  61  63  64  73  83 111 118 122 128 130 132\n",
      " 135 139 141 143 147 148 151 162 170 173 198 200 205 225 241 251]\n",
      "image # 3147, layer # layer3.2.relu has outliers [ 10  14  15  18  31  35  51  62  63  64  73  83  85  89 101 111 118 122\n",
      " 128 130 132 139 141 147 148 151 159 161 162 166 172 179 198 205 213 223\n",
      " 225 236 239 253]\n",
      "image # 3287, layer # layer3.2.relu has outliers [  0   7   8  15  18  22  35  44  47  51  53  54  57  63  64  73  83  92\n",
      " 101 110 111 123 128 130 132 133 139 141 144 147 150 156 161 166 182 198\n",
      " 209 210 213 225 230]\n",
      "image # 3395, layer # layer3.2.relu has outliers [ 10  11  14  17  24  35  38  63  81  91  92  94 103 120 132 139 141 151\n",
      " 159 160 162 166 179 185 200 201 205 210 217 225 229 246]\n",
      "image # 3643, layer # layer3.2.relu has outliers [  2  11  14  17  18  28  47  51  54  57  62  73  81  91  94 109 111 118\n",
      " 130 139 141 151 160 161 162 173 179 183 185 198 200 209 221 230 236 247]\n",
      "image # 3811, layer # layer3.2.relu has outliers [ 15  17  18  19  51  63  64  83 101 110 111 118 128 130 132 139 140 141\n",
      " 151 160 162 166 176 187 198 210 214 223 225 226 229 241 251 254]\n",
      "image # 3846, layer # layer3.2.relu has outliers [ 17  19  52  54  62  63  75  81  96  97 104 107 110 111 118 130 139 141\n",
      " 147 148 150 151 160 162 167 179 180 182 183 188 189 196 198 204 214 225\n",
      " 229]\n",
      "image # 3930, layer # layer3.2.relu has outliers [  0   1  19  28  31  54  55  57  70  71  83  91  94  97 100 130 131 132\n",
      " 141 148 150 151 160 161 166 170 171 177 179 182 198 200 209 210 225 231\n",
      " 237]\n",
      "image # 3953, layer # layer3.2.relu has outliers [  9  14  19  51  55  64  83  91 101 111 119 132 134 137 141 144 147 151\n",
      " 156 160 161 162 166 173 176 177 179 182 185 200 204 205 210 217 221 225\n",
      " 241 250]\n",
      "image # 4002, layer # layer3.2.relu has outliers [  2  15  19  21  22  47  51  54  57  64  71  83  91 101 111 113 123 128\n",
      " 130 139 141 147 151 160 162 166 176 179 182 187 197 198 200 205 225 230\n",
      " 241 249 251 254]\n",
      "image # 4014, layer # layer3.2.relu has outliers [  3  10  14  15  23  39  62  64  73  90  92 107 110 118 120 122 123 124\n",
      " 128 130 131 132 135 139 141 143 147 159 162 177 182 188 198 200 205 210\n",
      " 229 234 241 248]\n",
      "image # 4064, layer # layer3.2.relu has outliers [  1  10  11  14  17  18  19  47  54  62  64  73  83  87  91  96  97 101\n",
      " 107 111 123 130 139 149 150 151 160 162 179 182 185 187 198 200 205 209\n",
      " 210 229 241 251]\n",
      "image # 4078, layer # layer3.2.relu has outliers [ 11  12  14  18  19  35  47  51  62  64  72  74  83  88 101 111 118 128\n",
      " 130 139 147 151 162 182 187 189 198 200 205 213 215 225 241 251]\n",
      "image # 4100, layer # layer3.2.relu has outliers [  0   2  10  18  19  28  57  62  63  64  73  83 101 111 118 130 139 147\n",
      " 151 161 162 176 179 180 188 196 197 198 200 213 214 241 251]\n",
      "image # 4115, layer # layer3.2.relu has outliers [  7  11  18  23  39  54  64  81  85  87  91 100 107 110 111 118 132 139\n",
      " 140 141 151 160 161 162 166 170 174 177 179 182 198 200 210 215 229 241\n",
      " 251]\n",
      "image # 4256, layer # layer3.2.relu has outliers [  1  19  21  28  47  54  64  83  87  91 100 101 119 123 128 130 132 141\n",
      " 142 147 151 155 156 160 161 162 179 182 185 188 198 200 209 210 215 225\n",
      " 241 246]\n",
      "image # 4317, layer # layer3.2.relu has outliers [  0  11  16  17  18  19  62  64  81  83  96 104 111 118 130 132 139 141\n",
      " 147 148 151 166 167 179 182 183 188 189 198 200 214 225 229 245]\n",
      "image # 4342, layer # layer3.2.relu has outliers [  1  10  12  14  18  22  38  51  54  61  63  64  73  83  85  87  91  97\n",
      " 101 103 118 119 123 128 130 131 132 139 141 146 148 151 159 160 162 176\n",
      " 179 182 186 187 196 198 200 205 214 225 230 241 247 251]\n",
      "image # 4374, layer # layer3.2.relu has outliers [  2  15  18  19  35  47  51  57  63  64  81  83  88 100 101 110 111 118\n",
      " 130 132 133 139 147 151 160 161 176 179 182 187 198 210 214 221 225 230\n",
      " 251]\n",
      "image # 4388, layer # layer3.2.relu has outliers [  0  17  18  19  47  51  64  81  83  90 101 107 110 111 118 130 139 141\n",
      " 147 151 160 161 162 170 177 185 188 198 210 214 216 221 224 225 229]\n",
      "image # 4392, layer # layer3.2.relu has outliers [  1   2   6  10  18  21  35  47  55  64  91 100 101 104 111 118 126 139\n",
      " 147 151 156 159 162 167 179 182 185 187 196 197 205 214 225 230 231 241\n",
      " 251]\n",
      "image # 4452, layer # layer3.2.relu has outliers [  2   7  15  16  18  19  39  62  63  64  71  73  75  85  92 110 111 118\n",
      " 130 139 141 147 151 162 173 179 180 182 188 189 200 210 215 225 246 251]\n",
      "image # 4484, layer # layer3.2.relu has outliers [ 16  19  21  54  71  83  90  91  93 100 101 104 113 118 126 128 147 151\n",
      " 159 177 179 182 197 198 200 214 225 230 241 251]\n",
      "image # 4509, layer # layer3.2.relu has outliers [  0  10  15  16  18  19  23  34  62  63  64  66  83  90 101 104 106 107\n",
      " 110 118 128 130 131 132 134 135 139 141 142 147 148 151 159 162 166 168\n",
      " 170 176 187 188 198 210 225 229 245 251]\n",
      "image # 4564, layer # layer3.2.relu has outliers [  1   4   5  14  15  17  18  22  25  35  38  54  61  64  83  87  89 101\n",
      " 105 113 118 119 122 130 132 141 146 151 156 160 162 166 176 179 187 198\n",
      " 200 205 209 225 230 241 251]\n",
      "image # 4804, layer # layer3.2.relu has outliers [ 16  19  29  51  54  55  63  64  74  83  85  91 103 104 110 113 128 130\n",
      " 131 132 139 141 147 151 156 161 170 177 179 182 188 189 190 198 209 210\n",
      " 221 225 229 241 251]\n",
      "image # 4833, layer # layer3.2.relu has outliers [  0   1   2   4  10  11  18  19  35  47  51  54  57  64  71  72  81  85\n",
      " 101 110 132 133 161 166 173 176 179 182 187 198 205 209 230 235 236 239\n",
      " 241]\n",
      "image # 4896, layer # layer3.2.relu has outliers [  0  15  19  21  51  57  71  83 101 111 119 132 141 147 148 150 151 156\n",
      " 159 161 162 166 173 176 179 180 188 189 198 205 209 210 225 254]\n",
      "image # 4933, layer # layer3.2.relu has outliers [ 14  18  19  33  38  47  51  57  64  75  81  88  91  94 100 101 111 118\n",
      " 119 139 151 160 161 162 171 179 182 185 186 197 198 201 217 225 230]\n",
      "image # 5018, layer # layer3.2.relu has outliers [  0   5  11  14  15  17  18  21  35  38  63  64  73  83  85  89  91 101\n",
      " 119 128 132 141 151 152 160 162 166 176 179 185 186 200 205 210 223 225\n",
      " 229 239 241 250]\n",
      "image # 5049, layer # layer3.2.relu has outliers [  0  18  19  35  55  57  62  73  81  83  90 101 110 111 118 130 139 141\n",
      " 147 151 156 159 161 162 176 185 198 205 209 225 230 231 245]\n",
      "image # 5193, layer # layer3.2.relu has outliers [  0   6  17  18  47  51  64  66  71  73  81  97 101 110 111 114 118 130\n",
      " 142 147 151 162 166 176 180 182 183 189 198 204 205 206 213 215 225 241]\n",
      "image # 5244, layer # layer3.2.relu has outliers [ 14  15  18  19  23  51  54  64  72  81  83  90  91 100 111 130 132 135\n",
      " 139 141 147 151 159 161 162 166 179 182 196 197 198 205 209 214 221 224\n",
      " 225]\n",
      "image # 5434, layer # layer3.2.relu has outliers [  0   9  16  19  54  55  57  68  71  81  93 101 130 140 141 147 156 161\n",
      " 166 176 177 179 182 191 198 209 210 214 221 224 225 229 249]\n",
      "image # 5518, layer # layer3.2.relu has outliers [  0  18  19  54  63  64  77 101 103 107 110 111 118 120 128 139 140 141\n",
      " 147 148 151 160 170 176 182 200 205 210 223 225 226 229 234 241 244 251]\n",
      "image # 5533, layer # layer3.2.relu has outliers [  0   3  11  14  15  19  21  35  51  54  62  63  64  72  73  83  85  91\n",
      " 111 113 116 118 119 122 128 132 139 141 147 150 151 152 162 166 198 205\n",
      " 209 225 237 251 253]\n",
      "image # 5576, layer # layer3.2.relu has outliers [  2  14  47  51  54  64  81  83  94 101 104 110 111 130 141 147 151 159\n",
      " 161 162 170 176 179 185 197 198 205 209 210 225 229 231 244 251 254]\n",
      "image # 5611, layer # layer3.2.relu has outliers [ 10  14  15  17  18  19  47  51  57  63  64  73  74  83  89 101 107 110\n",
      " 111 130 139 141 147 151 153 159 162 166 173 185 189 196 198 205 210 239\n",
      " 241 250]\n",
      "image # 5633, layer # layer3.2.relu has outliers [  0   7  14  18  19  23  47  51  62  63  83  90 107 111 118 130 139 141\n",
      " 146 147 150 151 161 162 166 177 185 197 198 204 209 210 224 250 251]\n",
      "image # 5727, layer # layer3.2.relu has outliers [  0   9  51  55  57  63  68  81  83 104 111 118 126 130 132 139 141 144\n",
      " 147 151 156 161 166 177 179 182 198 221 224 225 251]\n",
      "image # 5805, layer # layer3.2.relu has outliers [ 15  16  19  54  64  71  81  85  87  91  94 103 104 110 113 126 128 132\n",
      " 141 148 149 151 160 166 179 180 182 186 187 198 200 210 214 225 230 234\n",
      " 241 251]\n",
      "image # 5820, layer # layer3.2.relu has outliers [ 38  47  54  55  64  83  87  91 101 104 110 123 134 139 140 141 151 156\n",
      " 159 160 162 177 182 205 210 215 217 225 229 241 251]\n",
      "image # 5902, layer # layer3.2.relu has outliers [  0   2  14  18  19  47  51  62  63  64  73  83  85 110 111 139 144 147\n",
      " 148 151 156 159 162 166 179 180 188 198 205 210 217 225 247]\n",
      "image # 5988, layer # layer3.2.relu has outliers [  0  11  15  17  18  19  28  35  53  57  62  71  72  85  92  93  96  97\n",
      " 100 106 110 111 118 128 130 132 139 141 150 151 159 160 162 176 180 188\n",
      " 198 200 205 209 210 232 237]\n",
      "image # 6046, layer # layer3.2.relu has outliers [ 18  19  51  57  61  63  73  74  81  83  89 101 111 118 123 128 130 132\n",
      " 139 141 147 150 151 161 196 197 198 205 209 210 213 225 231 239 249]\n",
      "image # 6114, layer # layer3.2.relu has outliers [ 10  14  15  25  47  51  54  64  73  83  91  94 101 111 118 122 128 132\n",
      " 139 141 147 151 159 161 162 166 176 179 187 198 200 205 225 230 237 241\n",
      " 253]\n",
      "image # 6237, layer # layer3.2.relu has outliers [  0   6  11  14  17  19  22  28  35  52  54  64  73  83  87 111 118 119\n",
      " 123 128 130 132 140 151 159 160 162 166 179 183 187 196 198 225 230 241\n",
      " 251]\n",
      "image # 6249, layer # layer3.2.relu has outliers [  1  14  16  19  28  40  62  64  81  83  91 107 111 118 130 132 135 137\n",
      " 139 141 147 151 160 162 179 182 187 198 200 204 205 210 226 241 251]\n",
      "image # 6285, layer # layer3.2.relu has outliers [  0  10  14  15  19  54  64  73  81  85  91 111 118 119 123 132 148 151\n",
      " 152 162 171 176 179 185 186 187 198 200 210 214 215 225 230 236 239 241]\n",
      "image # 6346, layer # layer3.2.relu has outliers [  0   4  14  15  17  18  28  34  35  54  64  73  83 100 101 103 111 119\n",
      " 123 130 132 141 151 159 160 162 166 176 179 180 182 187 188 192 198 200\n",
      " 205 225 226 230 240 241 251]\n",
      "image # 6426, layer # layer3.2.relu has outliers [  2  14  15  18  19  51  54  62  70  73  81 110 111 113 118 126 139 148\n",
      " 151 156 161 162 170 179 185 188 198 200 205 209 214 225 230 251]\n",
      "image # 6436, layer # layer3.2.relu has outliers [  0  14  15  17  18  19  28  33  51  57  63  64  73  81  83  88  94 101\n",
      " 111 128 130 132 139 141 151 161 162 166 173 176 179 188 198 209 210 213\n",
      " 217 221 223 225 239 251]\n",
      "image # 6499, layer # layer3.2.relu has outliers [  0  11  14  15  17  19  28  34  54  64  73  81  83 110 118 130 132 139\n",
      " 141 147 151 160 162 179 182 183 186 198 200 204 205 225 229 251]\n",
      "image # 6513, layer # layer3.2.relu has outliers [  9  16  18  19  23  55  57  71  83  96 100 104 110 111 118 130 132 139\n",
      " 141 147 156 170 171 177 179 182 188 205 217 225 236 254]\n",
      "image # 6614, layer # layer3.2.relu has outliers [ 18  19  47  51  54  57  64  92  93  97 101 110 118 128 130 132 139 140\n",
      " 141 147 151 160 162 166 179 180 182 198 200 205 210 215 225 234 254]\n",
      "image # 6747, layer # layer3.2.relu has outliers [  0  19  21  54  71  81  83  93 100 106 110 130 141 144 147 151 156 160\n",
      " 166 170 182 188 189 198 200 210 225 229]\n",
      "image # 6824, layer # layer3.2.relu has outliers [  1   2  16  18  19  23  40  47  54  55  64  73  81  87  91  93 104 111\n",
      " 123 130 141 151 160 166 171 177 182 187 197 205 210 228 236 237 241]\n",
      "image # 6908, layer # layer3.2.relu has outliers [  0   9  16  19  54  71  81  83  90  96 101 103 104 111 113 119 123 130\n",
      " 132 142 144 151 155 156 161 171 177 179 182 188 198 209 225 231 249 254]\n",
      "image # 6931, layer # layer3.2.relu has outliers [  0  18  19  47  54  55  64  83  91 110 111 118 123 131 132 139 141 151\n",
      " 159 160 161 166 171 177 179 182 188 200 205 225 229 241 246]\n",
      "image # 6972, layer # layer3.2.relu has outliers [  2  10  14  19  25  28  29  47  54  57  64  71  73  83  91 100 103 128\n",
      " 132 141 148 150 151 159 162 166 176 177 179 198 200 209 210 225 234 241\n",
      " 251]\n",
      "image # 6974, layer # layer3.2.relu has outliers [  0  16  19  34  54  62  64  81  85 118 139 141 147 148 151 161 171 179\n",
      " 180 182 188 200 205 215 225 226 229 254]\n",
      "image # 7114, layer # layer3.2.relu has outliers [  0  14  17  18  19  63  64  81  83  85  94 101 110 111 118 128 130 132\n",
      " 139 141 142 147 151 166 167 179 182 187 200 204 213 214 225 241 247 251]\n",
      "image # 7232, layer # layer3.2.relu has outliers [ 10  14  17  18  28  33  35  38  63  83  94 101 111 126 130 139 141 151\n",
      " 160 162 173 179 185 186 196 200 204 210 217 221 224 225 229 241 247 250\n",
      " 251]\n",
      "image # 7243, layer # layer3.2.relu has outliers [ 15  18  21  40  47  64  67  73  83 100 101 111 113 128 130 133 134 139\n",
      " 147 151 156 159 162 166 176 179 187 188 198 205 210 214 225 229 241 251]\n",
      "image # 7310, layer # layer3.2.relu has outliers [  0   1  11  14  17  18  19  34  51  62  64  81  85  90 101 110 111 118\n",
      " 119 130 132 139 141 142 147 156 161 162 173 176 185 188 192 198 204 205\n",
      " 209 214 217 221 224 225 226]\n",
      "image # 7357, layer # layer3.2.relu has outliers [  1   6  16  47  54  55  81  91  93 100 101 104 113 123 128 141 144 150\n",
      " 151 156 159 162 166 167 171 177 179 180 182 197 198 205 225 251]\n",
      "image # 7370, layer # layer3.2.relu has outliers [  0   2  15  18  19  21  47  54  57  64  71  72  73  83  91 100 101 111\n",
      " 118 130 133 139 140 141 147 150 151 159 161 162 166 176 179 180 188 198\n",
      " 205 209 210 225 228 236]\n",
      "image # 7385, layer # layer3.2.relu has outliers [ 10  14  17  18  19  62  63  64  83 101 106 107 110 111 118 134 139 141\n",
      " 151 160 162 166 176 187 205 210 217 225 241 245 251]\n",
      "image # 7416, layer # layer3.2.relu has outliers [ 11  14  17  18  19  25  34  35  51  52  64  83 111 118 130 132 141 151\n",
      " 160 162 166 167 179 198 200 205 209 215 217 221 225 241 247 251]\n",
      "image # 7494, layer # layer3.2.relu has outliers [  2  11  14  16  18  19  22  35  47  51  54  62  64  73  83  85  97 110\n",
      " 111 118 123 128 130 139 141 147 151 159 161 162 187 188 198 205 210 213\n",
      " 214 225 241 251 254]\n",
      "image # 7504, layer # layer3.2.relu has outliers [ 10  18  19  51  54  55  64  71  85  91 100 101 104 110 111 113 128 131\n",
      " 139 142 147 150 161 177 179 180 182 187 188 198 205 210 221 225 231 241\n",
      " 251]\n",
      "image # 7515, layer # layer3.2.relu has outliers [  7  14  16  18  19  28  53  63  64  83  85 111 118 126 128 130 132 139\n",
      " 147 148 151 162 179 180 187 198 200 214 225 241 251]\n",
      "image # 7659, layer # layer3.2.relu has outliers [  0  11  16  18  19  28  51  64  86 110 111 118 128 130 132 139 141 147\n",
      " 151 160 162 166 171 177 182 196 198 204 205 210 214 217 224 225 229 244\n",
      " 250]\n",
      "image # 7725, layer # layer3.2.relu has outliers [  0  10  14  17  18  29  34  51  62  63  81  85  97 101 106 110 111 118\n",
      " 128 132 139 141 147 151 160 161 162 166 182 204 221 224 225 229 230 232\n",
      " 247 250]\n",
      "image # 7781, layer # layer3.2.relu has outliers [  0   1   3  15  16  19  21  28  54  55  63  64  87  91  92 101 103 113\n",
      " 119 120 126 128 130 141 147 148 151 156 162 177 179 182 186 187 191 196\n",
      " 198 200 210 214 221 225 241 251]\n",
      "image # 7828, layer # layer3.2.relu has outliers [  0  11  14  19  28  35  47  51  54  55  62  83  90 100 101 111 118 120\n",
      " 123 130 132 139 141 144 147 151 156 161 176 180 198 210 231 241]\n",
      "image # 7915, layer # layer3.2.relu has outliers [  1  11  14  17  18  19  54  62  64  81  83  91 110 111 113 119 123 126\n",
      " 128 130 132 141 151 156 159 160 162 166 176 179 187 198 200 205 210 230\n",
      " 241 251]\n",
      "image # 7933, layer # layer3.2.relu has outliers [ 15  19  23  39  47  51  64  68  71  74  81  85  87  91 104 106 107 113\n",
      " 141 147 148 151 156 159 160 162 177 182 186 187 188 198 210 215 225 241\n",
      " 251]\n",
      "image # 7969, layer # layer3.2.relu has outliers [ 11  14  15  18  35  47  51  57  62  81  83  88  91  94 110 111 118 130\n",
      " 135 139 141 147 150 151 152 160 161 162 176 179 188 196 197 198 205 209\n",
      " 210 214 224 239 247 250]\n",
      "image # 8081, layer # layer3.2.relu has outliers [  0   9  10  18  35  47  51  57  68  83  91  96 101 111 113 118 128 130\n",
      " 132 139 140 141 147 151 160 161 162 166 170 177 188 196 198 215 224 225\n",
      " 229]\n",
      "image # 8135, layer # layer3.2.relu has outliers [  0  14  17  18  19  64  69  81  83  88 101 107 111 118 130 132 135 139\n",
      " 141 147 151 160 161 162 166 170 182 185 196 198 204 205 209 225 247 250\n",
      " 251]\n",
      "image # 8138, layer # layer3.2.relu has outliers [  0   6  15  19  35  54  55  57  63  70  81  83  87 100 104 113 116 119\n",
      " 123 130 132 139 141 144 147 150 151 156 161 162 166 177 179 182 188 198\n",
      " 205 209 217 221 225 229 230 237 241]\n",
      "image # 8161, layer # layer3.2.relu has outliers [  0   1  10  18  19  29  54  57  63  64  71  81  87  94 100 101 103 110\n",
      " 111 118 123 128 132 139 141 147 148 151 160 161 162 176 179 182 187 196\n",
      " 198 200 205 209 215 225 229 234 236 241 251]\n",
      "image # 8174, layer # layer3.2.relu has outliers [  1   4  16  19  21  54  57  64  71  83  87  91  94 100 101 104 111 113\n",
      " 118 119 123 126 128 130 132 141 147 148 150 151 160 162 176 179 182 185\n",
      " 186 188 198 200 205 209 214 225 230 237 241]\n",
      "image # 8253, layer # layer3.2.relu has outliers [ 14  15  19  54  63  64  73  81  83  91 101 103 111 113 118 122 123 130\n",
      " 139 141 148 151 156 159 160 162 179 182 188 189 198 200 205 209 225 241\n",
      " 251]\n",
      "image # 8273, layer # layer3.2.relu has outliers [  0   6  11  18  19  39  54  55  62  64  68  81  85  87  91 100 110 132\n",
      " 139 141 147 148 151 159 160 161 174 177 179 182 187 196 198 200 210 214\n",
      " 225 241]\n",
      "image # 8342, layer # layer3.2.relu has outliers [  0   2  18  19  21  47  51  54  57  62  68  71  83  91 100 101 106 107\n",
      " 111 118 128 139 141 147 150 151 161 162 177 188 196 205 209 225 231 251]\n",
      "image # 8353, layer # layer3.2.relu has outliers [  0  14  19  47  55  57  81  83  91 101 111 118 119 132 139 141 144 147\n",
      " 148 151 159 160 161 162 166 176 188 205 209 210 214 221 225 241 247]\n",
      "image # 8358, layer # layer3.2.relu has outliers [  0  14  17  18  19  38  51  61  62  64  73  83  88  91 111 118 141 149\n",
      " 151 160 162 166 173 179 182 185 198 200 204 210 214 221 225 241 251]\n",
      "image # 8372, layer # layer3.2.relu has outliers [  2  14  19  33  47  54  55  57  62  72  88  91 101 120 123 141 144 150\n",
      " 151 159 161 166 177 179 180 182 185 188 198 205 209 210 225 241]\n",
      "image # 8535, layer # layer3.2.relu has outliers [  0   2  28  35  53  57  63  64  71  85 100 101 123 128 130 132 141 151\n",
      " 159 162 166 179 180 182 188 198 200 205 210 214 225 229 230 241]\n",
      "image # 8544, layer # layer3.2.relu has outliers [  9  19  47  51  54  55  64  68  81  83  91 103 130 139 140 141 147 156\n",
      " 159 161 166 176 177 179 180 182 189 197 198 205 209 210 214 221 225 237\n",
      " 241]\n",
      "image # 8612, layer # layer3.2.relu has outliers [ 16  19  47  51  54  55  57  62  64  83  91  94 103 110 111 118 123 126\n",
      " 128 130 134 139 141 142 147 160 161 166 170 176 177 182 198 200 209 210\n",
      " 217 221 224 225 241 244]\n",
      "image # 8717, layer # layer3.2.relu has outliers [  0  10  11  14  17  18  51  63  64  73  81  83 101 110 111 118 126 128\n",
      " 130 132 139 141 147 151 162 166 170 179 192 198 205 209 217 221 225]\n",
      "image # 8755, layer # layer3.2.relu has outliers [  2   7  18  19  47  51  54  57  62  81  91  92 101 111 118 120 139 141\n",
      " 147 160 161 166 177 179 180 182 197 198 209 221 246 251]\n",
      "image # 8800, layer # layer3.2.relu has outliers [  6  10  14  34  51  52  54  63  64  68  73 110 113 118 123 137 139 141\n",
      " 148 151 159 162 166 172 179 187 188 197 198 200 205 206 209 210 215 225\n",
      " 241 251]\n",
      "image # 8909, layer # layer3.2.relu has outliers [ 18  19  29  47  51  54  63  64  81  91 101 103 110 111 118 139 141 144\n",
      " 147 148 151 161 162 166 171 177 182 187 210 221 223 224 225 229 246 249]\n",
      "image # 8923, layer # layer3.2.relu has outliers [  7  11  14  17  18  19  64  81  83  90 101 111 118 122 128 139 147 151\n",
      " 160 179 198 205 209 214 217 225 230 237 239]\n",
      "image # 8930, layer # layer3.2.relu has outliers [ 11  12  17  18  19  44  57  63  94 101 110 111 118 130 132 139 151 160\n",
      " 161 162 166 176 200 205 209 213 221 225 229 247 250 251 254]\n",
      "image # 8933, layer # layer3.2.relu has outliers [  0   4   9  12  16  18  19  47  63  81  83  92 104 111 118 119 130 132\n",
      " 139 144 147 151 162 167 176 177 185 198 200 225 230 231]\n",
      "image # 8996, layer # layer3.2.relu has outliers [  5  14  15  17  18  20  28  35  63  64  83  85  89  94 106 111 126 130\n",
      " 131 132 139 141 151 160 162 186 187 196 200 214 217 225 241 247]\n",
      "image # 9047, layer # layer3.2.relu has outliers [  0  12  15  18  19  51  64  79  83 113 118 119 123 130 139 141 148 151\n",
      " 156 161 162 179 182 187 188 189 198 225 231 241 251]\n",
      "image # 9111, layer # layer3.2.relu has outliers [  2  11  18  19  47  51  54  57  68  71  73  85  90  91 101 111 118 128\n",
      " 130 132 133 139 141 147 151 161 162 173 176 179 188 198 200 214 221 225\n",
      " 229]\n",
      "image # 9208, layer # layer3.2.relu has outliers [  0  10  18  51  54  55  64  81  91  92  93 101 110 139 141 147 160 161\n",
      " 162 170 177 179 182 188 198 205 210 224 225 229 251]\n",
      "image # 9320, layer # layer3.2.relu has outliers [  2  18  19  21  53  63  71  83  85  88  96 100 101 111 118 126 128 130\n",
      " 132 139 151 156 161 179 180 189 198 200 214 225 230 241 251]\n",
      "image # 9333, layer # layer3.2.relu has outliers [  7  16  18  19  34  39  51  63  64  66  83  85  89  92 103 106 111 118\n",
      " 130 139 147 148 151 156 162 172 176 179 180 187 189 190 198 200 210 225\n",
      " 241 251 254]\n",
      "image # 9585, layer # layer3.2.relu has outliers [  0  14  17  19  64  66  81  83 101 106 110 111 123 130 139 141 160 162\n",
      " 166 185 187 204 205 210 217 221 223 225 229 241 244 247 251]\n",
      "image # 9597, layer # layer3.2.relu has outliers [ 14  15  18  19  35  47  51  57  63  64  81  83 101 111 118 130 132 139\n",
      " 141 147 151 161 162 177 179 182 198 206 221 225]\n",
      "image # 9598, layer # layer3.2.relu has outliers [ 14  16  18  19  47  51  54  55  62  63  64  81  90  91 101 107 110 111\n",
      " 120 130 131 139 141 147 159 161 162 177 179 182 188 190 197 198 200 204\n",
      " 205 210 221 225 230]\n",
      "image # 9611, layer # layer3.2.relu has outliers [  0  21  54  55  57  68  71  72  81  83  93  96 100 104 111 119 123 126\n",
      " 128 130 132 140 141 151 161 166 176 177 179 182 185 188 198 210 225 230\n",
      " 236]\n",
      "image # 9655, layer # layer3.2.relu has outliers [  1  14  15  19  47  55  57  72  73  81  91 100 106 111 131 139 141 147\n",
      " 148 150 151 159 160 161 162 166 170 176 179 182 188 198 204 205 209 210\n",
      " 221 224 225 231 235 241 244]\n",
      "image # 9716, layer # layer3.2.relu has outliers [ 11  14  17  18  19  35  38  46  52  54  55  57  63  64  68  72  81  83\n",
      "  91 103 132 139 151 156 160 176 179 180 182 198 200 209 210 221 225 229\n",
      " 230 241 251]\n",
      "image # 9807, layer # layer3.2.relu has outliers [ 11  17  19  28  29  47  51  55  63  64  83  86 101 110 120 124 128 130\n",
      " 141 147 151 156 160 161 166 177 182 187 190 205 209 210 212 217 221 224\n",
      " 225 229 236]\n",
      "image # 9854, layer # layer3.2.relu has outliers [ 10  19  28  51  64  71  81  83  96 104 107 111 118 132 139 141 147 148\n",
      " 151 160 162 177 179 182 198 200 225 251]\n",
      "image # 9870, layer # layer3.2.relu has outliers [  0   2   9  15  18  19  28  47  51  54  57  63  64  71  73  74  83  97\n",
      " 101 110 111 118 119 130 141 147 151 156 161 162 173 182 188 198 200 205\n",
      " 210 221 225 231 241 249]\n",
      "image # 9914, layer # layer3.2.relu has outliers [  2  18  19  21  47  51  53  54  57  71  83  96  97 101 104 111 113 118\n",
      " 130 132 141 147 150 151 156 166 180 182 198 205 209 225 228 231 251]\n",
      "image # 9937, layer # layer3.2.relu has outliers [  0  19  23  53  54  57  62  71  81  83  93 107 110 111 118 123 130 139\n",
      " 147 150 151 170 177 179 182 188 196 197 198 200 204 210 224 225 229 230\n",
      " 231 254]\n",
      "image # 10055, layer # layer3.2.relu has outliers [  2  15  19  21  47  54  57  71  83  88 101 111 113 118 128 130 132 139\n",
      " 151 161 173 176 179 180 182 188 189 192 198 205 214 225 230 251]\n",
      "image # 10087, layer # layer3.2.relu has outliers [ 18  23  54  64  68  81  83  87  91 100 110 111 118 119 130 132 139 140\n",
      " 141 144 147 151 156 160 161 162 166 168 170 179 187 198 205 210 225 241\n",
      " 246 251 254]\n",
      "image # 10129, layer # layer3.2.relu has outliers [  0  15  19  31  47  54  57  73  81  85  91 101 128 130 134 141 147 160\n",
      " 161 166 173 176 179 182 183 188 198 200 205 209 210 221 225 229 231 244]\n",
      "image # 10156, layer # layer3.2.relu has outliers [  0  12  14  19  21  54  64  83  91 100 119 123 128 141 144 151 159 160\n",
      " 162 166 176 182 187 196 198 205 210 225 226 229 234 240 241 251]\n",
      "image # 10193, layer # layer3.2.relu has outliers [  2   7  18  19  47  54  55  57  64  68  71  87  92 111 118 120 139 140\n",
      " 141 147 151 156 159 161 166 170 177 179 180 182 197 198 210 215 224 225\n",
      " 246 249]\n",
      "image # 10209, layer # layer3.2.relu has outliers [  0   7  10  14  15  17  18  28  33  63  64  66  81  83  85 106 130 132\n",
      " 139 141 151 160 162 166 179 182 187 200 221 225 229 239 241 247]\n",
      "image # 10225, layer # layer3.2.relu has outliers [ 11  17  18  47  51  62  92 101 110 111 118 130 131 132 139 141 147 151\n",
      " 160 168 171 176 204 205 210 213 221 225 239 241 251]\n",
      "image # 10251, layer # layer3.2.relu has outliers [  9  14  15  18  19  33  34  47  51  57  63  64  71  73  92  94 101 110\n",
      " 134 139 141 147 151 159 162 166 176 179 182 187 205 210 241 251]\n",
      "image # 10259, layer # layer3.2.relu has outliers [  7  10  15  18  19  63  64  73  83  85  89  91 100 101 111 118 123 128\n",
      " 130 131 139 140 147 148 151 156 162 176 179 182 187 188 198 210 225 241\n",
      " 251]\n",
      "image # 10263, layer # layer3.2.relu has outliers [  0  14  17  19  23  28  51  64  66 103 107 110 111 118 123 130 134 135\n",
      " 139 141 147 151 159 160 162 166 170 182 185 187 198 199 200 204 205 210\n",
      " 217 225 226]\n",
      "image # 10269, layer # layer3.2.relu has outliers [  1   7  10  11  18  23  47  54  57  62  81  83 110 111 118 130 131 139\n",
      " 141 151 160 161 166 170 176 179 182 187 198 205 209 210 213 221 224 236\n",
      " 251]\n",
      "image # 10273, layer # layer3.2.relu has outliers [  0  16  18  19  47  51  55  63  64  66  83 101 103 106 107 110 111 128\n",
      " 130 139 141 147 148 151 156 159 160 161 162 170 177 182 185 187 196 198\n",
      " 210 214 241 251]\n",
      "image # 10297, layer # layer3.2.relu has outliers [  0   9  19  54  55  81  83  85  91 104 113 123 130 131 132 141 147 148\n",
      " 151 166 177 179 182 188 191 196 198 209 214 221 229 236 248]\n",
      "image # 10343, layer # layer3.2.relu has outliers [  0   7  16  19  28  55  64  81  83 100 101 111 118 123 130 132 139 144\n",
      " 147 151 156 160 174 177 179 182 188 198 200 205 210 215 225 231]\n",
      "image # 10377, layer # layer3.2.relu has outliers [  1   2  15  18  19  21  47  51  54  57  63  64  80  83  87  91 101 104\n",
      " 107 122 141 147 151 159 162 174 176 179 185 187 188 196 198 205 209 214\n",
      " 221 225 231 236 241 251]\n",
      "image # 10385, layer # layer3.2.relu has outliers [  0   1   6   9  10  18  19  29  39  47  54  55  57  64  71  73  81  85\n",
      "  93 100 101 104 111 113 126 139 141 144 147 151 156 159 161 166 171 177\n",
      " 179 180 182 198 205 209 210 221 225 231 241 246 249]\n",
      "image # 10398, layer # layer3.2.relu has outliers [  0   6  14  21  51  54  64  81  83  87  91 100 110 111 118 131 132 139\n",
      " 141 147 148 151 159 161 162 171 172 179 182 186 187 210 214 225 236 241\n",
      " 246 251]\n",
      "image # 10418, layer # layer3.2.relu has outliers [  2  15  16  19  21  22  51  54  57  71  83  88  91 104 113 130 132 133\n",
      " 151 156 166 176 179 180 182 197 198 205 209 214 221 225 236]\n",
      "image # 10513, layer # layer3.2.relu has outliers [  9  18  55  64  81  92  93 103 110 139 140 141 147 148 170 177 179 182\n",
      " 210 215 225 229 236 251]\n",
      "image # 10524, layer # layer3.2.relu has outliers [  0  10  16  18  19  63  64  81  83 104 111 118 122 128 139 141 147 148\n",
      " 151 156 166 170 179 182 183 196 198 200 205 214 215 221 225 234 253]\n",
      "image # 10705, layer # layer3.2.relu has outliers [ 16  19  21  33  47  51  63  81  83 101 104 111 113 118 119 126 130 132\n",
      " 139 141 144 147 151 156 161 162 166 170 179 182 198 205 209 210 213 217\n",
      " 225 230 231]\n",
      "image # 10817, layer # layer3.2.relu has outliers [  0  10  11  17  18  19  28  51  57  63  64  71  73  76 101 110 111 118\n",
      " 126 130 132 139 142 147 151 162 171 176 179 183 188 198 200 210 224 225\n",
      " 229 245]\n",
      "image # 10818, layer # layer3.2.relu has outliers [  2  16  18  19  47  51  54  62  64  75  83  86  91 111 118 141 147 150\n",
      " 151 159 161 162 170 174 176 177 179 180 182 187 188 189 198 200 203 205\n",
      " 214 225 229 241 251]\n",
      "image # 10821, layer # layer3.2.relu has outliers [  0  10  14  15  18  21  35  61  64  73  83  88 100 111 118 119 123 130\n",
      " 131 132 139 151 162 176 179 186 187 196 198 200 205 214 217 225 239 241\n",
      " 251]\n",
      "image # 10866, layer # layer3.2.relu has outliers [  7  16  19  54  62  63  64  68  71  81  83  87  91  93 100 104 106 111\n",
      " 118 139 148 151 162 174 177 179 182 183 185 188 197 198 200 210 214 225\n",
      " 251 254]\n",
      "image # 10946, layer # layer3.2.relu has outliers [  0   7  10  11  14  15  18  19  28  63  64  67  83  85  87  88  91  92\n",
      " 111 118 128 130 131 132 139 141 147 151 160 162 166 176 179 187 198 210\n",
      " 211 239 241 251]\n",
      "layer layer3.3.relu\n",
      "image # 130, layer # layer3.3.relu has outliers [  2  15  18  23  54  57  71  83  87  91  95 100 111 118 130 132 140 141\n",
      " 147 151 156 159 166 170 176 182 187 198 205 210 215 221 236 246 251]\n",
      "image # 135, layer # layer3.3.relu has outliers [  6  19  21  63  64  71  73  83  88  91  92  93 100 107 128 130 140 141\n",
      " 147 156 159 162 176 198 199 200 209 210 234 251]\n",
      "image # 250, layer # layer3.3.relu has outliers [  0  18  19  31  34  47  51  63  64  71  83  94 110 119 123 132 141 156\n",
      " 159 162 166 171 176 177 182 186 188 198 200 206 210 215 221 230 244]\n",
      "image # 383, layer # layer3.3.relu has outliers [  0   3  18  19  28  47  62  63  81  83 110 118 123 126 130 132 139 140\n",
      " 141 148 156 170 171 183 188 198 200 209 210 214 215 221 234 244 245]\n",
      "image # 399, layer # layer3.3.relu has outliers [  0  10  15  18  28  31  33  57  63  70  75  83 111 130 139 141 147 151\n",
      " 156 162 167 182 187 188 198 200 209 210 213 214 215 221 223 232 250 251]\n",
      "image # 519, layer # layer3.3.relu has outliers [  0   3   6  11  14  19  34  47  53  54  64  85  87  90  91 110 132 141\n",
      " 156 159 161 162 166 169 170 171 176 177 182 187 188 198 200 206 210 215\n",
      " 217 240 244 251]\n",
      "image # 540, layer # layer3.3.relu has outliers [  0   6  10  14  17  18  28  63  83  94 110 118 120 123 126 130 132 139\n",
      " 141 147 148 160 161 162 171 179 198 210 214 223 224 244 251]\n",
      "image # 551, layer # layer3.3.relu has outliers [  0   9  11  19  53  54  62  81  83  94  97 111 118 130 132 139 140 141\n",
      " 142 147 150 151 161 182 183 188 198 205 206 209 214 215 228 246 251]\n",
      "image # 579, layer # layer3.3.relu has outliers [  0   1  10  19  29  47  51  57  62  63  64  70  81  82  87  91 111 118\n",
      " 123 132 141 161 162 166 170 176 182 186 187 200 205 209 213 221 234]\n",
      "image # 739, layer # layer3.3.relu has outliers [  6  18  19  54  62  64  71  83  85  91 101 110 111 118 140 141 156 166\n",
      " 176 177 179 182 187 188 192 198 200 206 209 210 214 223 240 251]\n",
      "image # 751, layer # layer3.3.relu has outliers [  0   6   7  10  14  15  17  18  28  57  62  63  83 126 128 130 139 141\n",
      " 147 151 162 172 176 198 200 210 214 224 226 234 251]\n",
      "image # 818, layer # layer3.3.relu has outliers [  2  68  71  83  88  95 111 118 130 132 139 140 141 147 148 151 156 161\n",
      " 166 170 182 188 198 221 236 251 254]\n",
      "image # 821, layer # layer3.3.relu has outliers [  0   6  11  19  47  68  83  87 111 118 130 141 147 148 152 156 159 166\n",
      " 170 171 179 182 188 198 200 215 223 244 250 251]\n",
      "image # 878, layer # layer3.3.relu has outliers [  0   2  10  18  19  47  54  55  62  71  87  91  93  94 108 111 112 123\n",
      " 141 147 150 156 159 170 171 182 188 198 200 209 210]\n",
      "image # 907, layer # layer3.3.relu has outliers [  0   1   4   6  19  23  47  54  62  81  83  94 104 111 118 123 128 130\n",
      " 131 132 139 141 147 161 168 171 182 205 210 215]\n",
      "image # 1042, layer # layer3.3.relu has outliers [ 11  16  19  31  34  62  64  71  83  91  96 118 132 137 140 141 148 151\n",
      " 156 159 162 176 182 186 187 188 189 200 206 210 214 215 221 234 244 251]\n",
      "image # 1134, layer # layer3.3.relu has outliers [  0   2  18  19  22  24  47  54  57  83  87  88  95 111 119 123 128 130\n",
      " 139 141 144 147 151 156 161 166 182 198 205 209 210 214 215 223 244 250\n",
      " 251]\n",
      "image # 1195, layer # layer3.3.relu has outliers [  0   6  18  19  21  57  62  64  68  81  83  96 101 111 118 119 126 128\n",
      " 130 132 139 142 147 148 156 159 160 161 162 166 183 186 187 188 198 199\n",
      " 200 209 214 230 234 247 254]\n",
      "image # 1207, layer # layer3.3.relu has outliers [  2  14  17  18  31  54  61  62  63  64  83  85  87  88 100 111 118 119\n",
      " 123 128 130 132 141 148 151 159 162 176 187 198 200 205 230 236]\n",
      "image # 1250, layer # layer3.3.relu has outliers [  1   2   6  10  14  21  29  31  47  51  54  61  64  70  71  83  87  91\n",
      " 100 101 111 118 123 126 128 132 141 147 151 156 159 160 161 162 198 200\n",
      " 201 205 214 221 234 251]\n",
      "image # 1285, layer # layer3.3.relu has outliers [  2   6  15  22  31  35  47  53  54  83  87 112 116 130 133 141 146 151\n",
      " 156 161 162 166 179 188 198 205 209 210 214 215 221 223 226 244 254]\n",
      "image # 1296, layer # layer3.3.relu has outliers [  0   6  10  11  18  39  44  63  73  81  83  94  97 111 118 122 123 126\n",
      " 128 130 132 139 141 147 160 161 166 183 198 200 205 208 209 214 215 217\n",
      " 244]\n",
      "image # 1382, layer # layer3.3.relu has outliers [  0   7  10  11  19  28  53  54  62  64  71  81  83  97 119 123 130 132\n",
      " 141 144 151 156 159 162 166 171 182 198 200 215 217 244 247 251]\n",
      "image # 1392, layer # layer3.3.relu has outliers [  2   3   6  14  22  28  54  83  92 100 101 110 111 130 132 139 141 147\n",
      " 148 151 156 159 162 179 180 198 214 215 217 234 251]\n",
      "image # 1451, layer # layer3.3.relu has outliers [  0   6  16  18  19  63  64  96 106 110 111 118 119 123 126 130 141 148\n",
      " 160 162 170 171 186 200 214 223 251]\n",
      "image # 1457, layer # layer3.3.relu has outliers [  2   4  10  14  22  47  54  64  70  75  83  85  88  91 105 118 119 133\n",
      " 141 142 148 151 156 159 162 166 168 176 179 180 182 187 188 198 200 201\n",
      " 205 214 215 221 240 251]\n",
      "image # 1520, layer # layer3.3.relu has outliers [  2  19  24  47  54  57  62  71  81  83  87  90  91  93 116 119 123 130\n",
      " 132 133 141 153 156 159 162 166 170 174 182 188 189 198 205 209 210 221\n",
      " 252]\n",
      "image # 1545, layer # layer3.3.relu has outliers [ 18  19  22  81  83  87  95  97 111 118 130 139 141 151 156 161 162 166\n",
      " 198 205 209 214 250 251]\n",
      "image # 1724, layer # layer3.3.relu has outliers [  0   1   6   9  11  18  54  55  64  87  91 111 118 119 123 127 130 141\n",
      " 156 162 171 177 182 187 188 198 210 224 234]\n",
      "image # 1777, layer # layer3.3.relu has outliers [  0   1  16  18  19  21  29  54  61  62  64  81  83  85  87  92  94 118\n",
      " 120 123 126 128 131 132 141 147 161 162 187 198 200 214 221 234 245]\n",
      "image # 1846, layer # layer3.3.relu has outliers [  0   2  11  14  15  17  19  35  54  62  63  64  73  83  91 118 119 122\n",
      " 123 130 132 141 159 160 162 166 176 179 182 186 187 195 198 200 205 221\n",
      " 223 234 244 251]\n",
      "image # 1864, layer # layer3.3.relu has outliers [ 10  11  17  18  34  55  57  61  62  83  86 101 111 118 130 132 139 147\n",
      " 156 162 182 192 198 205 215 217 232 244 247 251]\n",
      "image # 1912, layer # layer3.3.relu has outliers [  1   4   6  14  17  18  35  47  55  57  83  90  95 101 111 119 130 132\n",
      " 133 141 151 156 161 162 179 196 198 201 205 209 214 221 244 246 247 251]\n",
      "image # 1969, layer # layer3.3.relu has outliers [  1   2  19  20  34  40  54  62  64  71  83  91  93 101 123 141 148 156\n",
      " 162 179 182 187 188 198 200 209 210 214 215 221 232 234 251 254]\n",
      "image # 1970, layer # layer3.3.relu has outliers [  0   2   6  10  11  12  14  15  18  29  31  35  51  62  63  64  73  83\n",
      "  85 111 116 118 122 128 130 139 141 151 159 162 166 176 187 198 200 205\n",
      " 209 213 221 234 236 251 254]\n",
      "image # 2006, layer # layer3.3.relu has outliers [  0  11  57  62  63  81  94 110 111 118 130 132 139 140 141 148 160 161\n",
      " 162 166 187 188 200 205 209 210 213 215 221 223 234 236 244 251]\n",
      "image # 2025, layer # layer3.3.relu has outliers [ 10  14  15  18  19  47  68  81  83  88  92 111 118 128 130 132 139 140\n",
      " 141 147 151 156 161 162 166 188 198 205 209 210 214 215 223 251]\n",
      "image # 2117, layer # layer3.3.relu has outliers [ 11  15  18  47  53  57  64  67  77  80  81 107 111 118 119 128 130 132\n",
      " 141 150 151 161 162 166 176 182 183 188 189 198 200 204 206 210 213 214\n",
      " 215 221 239 247 251]\n",
      "image # 2269, layer # layer3.3.relu has outliers [  0  10  23  62  63  83  96 110 118 126 128 130 131 132 139 141 142 161\n",
      " 170 179 188 206 209 214 215 221 224 244 245 247 254]\n",
      "image # 2421, layer # layer3.3.relu has outliers [  0  16  17  19  22  34  35  53  63  64  83 110 111 119 130 141 144 151\n",
      " 161 169 177 179 182 188 198 206 207 210 214 215 221 223 232 244 251]\n",
      "image # 2524, layer # layer3.3.relu has outliers [  6  11  17  34  51  62  63  64  83 101 102 118 130 139 141 147 151 156\n",
      " 159 162 168 176 182 187 188 198 210 214 223 224 234 251]\n",
      "image # 2530, layer # layer3.3.relu has outliers [  1  16  18  19  47  55  62  64  70  71  83  87  88  92  95  97 100 101\n",
      " 110 111 119 133 151 156 159 162 170 179 187 188 198 200 205 209 210 214\n",
      " 215 221 223 234 244 251]\n",
      "image # 2565, layer # layer3.3.relu has outliers [  2   9  14  15  28  34  47  54  70  83  91 101 110 119 123 141 144 149\n",
      " 151 156 159 162 169 176 179 182 187 198 200 201 209 215 221 223 230 244\n",
      " 247 251]\n",
      "image # 2635, layer # layer3.3.relu has outliers [  0  11  19  54  62  68  81  83  87 110 111 123 130 139 141 147 156 161\n",
      " 171 174 182 209 210 215 217 221 223 244 247 254]\n",
      "image # 2638, layer # layer3.3.relu has outliers [  0   2  18  19  35  47  57  62  81  83  95 111 118 128 130 134 139 140\n",
      " 141 151 156 161 162 166 170 177 179 182 188 196 198 205 209 210 214 215\n",
      " 223 251]\n",
      "image # 2727, layer # layer3.3.relu has outliers [  3  15  18  23  54  57  63  83  91  92  95 118 130 132 139 141 147 151\n",
      " 156 159 166 176 187 188 198 205 209 221 223 224 228 234 244 251]\n",
      "image # 2817, layer # layer3.3.relu has outliers [  2  19  23  51  62  64  91 107 130 134 139 141 147 156 162 188 198 200\n",
      " 205 210 214 224 234 251]\n",
      "image # 2937, layer # layer3.3.relu has outliers [  0  17  54  55  62  63  83  87  90  94 111 118 119 123 130 132 139 141\n",
      " 144 147 156 159 162 170 171 179 182 195 198 200 205 210 215 217 223 230\n",
      " 244 247]\n",
      "image # 2942, layer # layer3.3.relu has outliers [ 10  29  39  47  55  62  71  83  87  91  93  94 100 120 128 139 141 148\n",
      " 150 156 160 161 170 171 177 182 188 191 198 200 205 207 209 210 214 215\n",
      " 217 234 246 251]\n",
      "image # 2962, layer # layer3.3.relu has outliers [  0  11  47  51  57  62  63  64  83  88 111 118 119 123 130 132 133 139\n",
      " 140 141 147 152 159 162 166 176 183 187 189 198 200 209 210 214 215 223\n",
      " 228 244 251]\n",
      "image # 3065, layer # layer3.3.relu has outliers [  0   6  11  14  15  17  52  61  63  64  83 111 118 122 128 130 132 135\n",
      " 139 140 141 143 147 148 151 152 156 161 162 170 198 200 205 209 210 215\n",
      " 251]\n",
      "image # 3147, layer # layer3.3.relu has outliers [  6  10  14  15  18  31  62  63  64  73  83  85  89  90 101 111 118 122\n",
      " 125 128 130 132 139 141 147 151 152 159 162 166 187 198 200 205 221 223\n",
      " 236 251 253 254]\n",
      "image # 3287, layer # layer3.3.relu has outliers [  0   6  15  18  22  28  35  47  53  54  57  63  73  83  88  92  95 111\n",
      " 119 123 128 130 133 139 141 144 147 156 166 182 198 209 210 213 215 251]\n",
      "image # 3395, layer # layer3.3.relu has outliers [  0  10  11  14  17  24  68  83  94 120 123 130 139 141 156 159 162 166\n",
      " 179 187 198 201 205 209 210 217 221 224 251]\n",
      "image # 3643, layer # layer3.3.relu has outliers [  6  11  14  17  18  28  47  51  57  62  81  82  91  94  97 111 118 130\n",
      " 132 139 141 160 162 176 180 187 198 200 209 210 215 221 230 234 244 247\n",
      " 251]\n",
      "image # 3811, layer # layer3.3.relu has outliers [ 17  18  28  62  63  64  83  97 118 126 128 130 132 139 140 141 151 162\n",
      " 166 176 182 188 198 200 210 214 221 226 232 251 254]\n",
      "image # 3846, layer # layer3.3.relu has outliers [  0   6  11  19  54  62  63  68  83  87  90  96 107 111 118 130 135 139\n",
      " 141 148 151 156 160 179 187 188 189 196 198 209 215 251]\n",
      "image # 3930, layer # layer3.3.relu has outliers [  1   2   6  24  28  31  54  55  57  62  68  70  71  81  83  87  91  94\n",
      "  97 100 119 123 130 132 140 141 148 156 160 162 166 168 170 171 176 177\n",
      " 179 182 188 198 200 209 210 251]\n",
      "image # 3953, layer # layer3.3.relu has outliers [ 14  19  28  64  83 101 111 119 123 126 132 134 140 141 144 156 160 161\n",
      " 162 166 168 176 186 187 198 200 205 210 214 221 223 234 243 244 247 251]\n",
      "image # 4002, layer # layer3.3.relu has outliers [  2  15  19  22  47  51  57  64  71  82  83  91  97 123 130 139 141 147\n",
      " 151 156 162 166 176 179 182 187 198 205 210 214 221 223 244 254]\n",
      "image # 4014, layer # layer3.3.relu has outliers [  3  10  11  14  15  19  23  39  64  87 107 118 120 122 123 124 128 130\n",
      " 131 134 141 143 147 156 159 162 170 177 182 188 198 200 205 210 224 234\n",
      " 248]\n",
      "image # 4064, layer # layer3.3.relu has outliers [  4   6  11  14  17  19  54  62  64  68  71  83  87  91  96  97 107 111\n",
      " 123 132 149 150 156 160 162 170 182 187 188 195 198 200 205 209 221 234\n",
      " 251]\n",
      "image # 4078, layer # layer3.3.relu has outliers [  0  11  14  18  47  51  53  57  62  64  74  83  88 111 118 119 130 132\n",
      " 139 140 141 147 151 162 182 189 198 200 205 209 210 214 215 244 251]\n",
      "image # 4100, layer # layer3.3.relu has outliers [  0  10  18  28  57  62  63  64  73  83  97 101 118 123 130 139 140 147\n",
      " 161 162 182 187 188 196 198 200 209 210 213 214 215 217 221 234]\n",
      "image # 4115, layer # layer3.3.relu has outliers [  6   7  11  23  39  83  85  87 106 107 111 118 130 139 140 141 151 156\n",
      " 161 162 168 170 174 177 198 199 200 210 223 224 244 251]\n",
      "image # 4256, layer # layer3.3.relu has outliers [ 11  21  28  34  47  54  64  83  87  91 100 119 123 128 130 132 140 141\n",
      " 142 147 148 156 159 161 162 188 198 200 210 214 215 221 244 254]\n",
      "image # 4317, layer # layer3.3.relu has outliers [  0  11  16  19  28  62  71  81  83 111 118 130 139 141 147 148 156 161\n",
      " 162 166 183 188 223 232 251]\n",
      "image # 4342, layer # layer3.3.relu has outliers [ 10  12  14  18  54  61  62  63  64  73  83  85  97 101 118 119 123 128\n",
      " 130 139 141 148 151 156 162 176 186 187 198 200 214 244 247 251]\n",
      "image # 4374, layer # layer3.3.relu has outliers [  0  15  18  28  51  53  57  63  64  81  83  88 100 101 111 118 130 132\n",
      " 139 140 147 161 168 176 182 198 210 214 215 221 230 244]\n",
      "image # 4388, layer # layer3.3.relu has outliers [  0  16  17  47  51  57  62  68  81 111 118 130 139 140 141 147 156 161\n",
      " 170 187 188 198 210 214 223 244 251]\n",
      "image # 4392, layer # layer3.3.relu has outliers [  0   1   2   6  18  35  47  55  62  63  64  83  85  91 100 101 111 118\n",
      " 119 123 126 139 141 147 156 159 162 182 186 187 196 200 205 214 223 234\n",
      " 251]\n",
      "image # 4452, layer # layer3.3.relu has outliers [  2   7  11  15  16  18  19  34  39  47  62  63  64  71  75  85  89  92\n",
      " 111 118 130 141 147 148 151 171 182 188 189 198 206 210 214 215 221 244\n",
      " 246 251]\n",
      "image # 4484, layer # layer3.3.relu has outliers [ 16  19  47  54  62  71  83  91  93 100 101 126 128 151 156 166 171 177\n",
      " 179 182 188 189 198 201 214 251]\n",
      "image # 4509, layer # layer3.3.relu has outliers [ 23  63  64  66  83 118 130 134 139 140 142 147 148 156 162 166 168 170\n",
      " 176 187 188 198 200 209 210 223 224 251]\n",
      "image # 4564, layer # layer3.3.relu has outliers [  1   2   5  14  15  17  24  25  34  35  52  54  64  83  85  87  89 101\n",
      " 105 106 119 130 141 146 151 156 162 168 179 192 198 200 205 215 221 223\n",
      " 230 244 247 251]\n",
      "image # 4804, layer # layer3.3.relu has outliers [  6  15  16  19  28  47  51  54  55  62  63  64  83  85 128 130 131 140\n",
      " 141 147 156 161 170 171 177 182 188 189 190 198 209 210 215 221 223 251]\n",
      "image # 4833, layer # layer3.3.relu has outliers [  0   1   2  10  11  18  19  22  47  54  72  81  85  97 110 132 133 141\n",
      " 166 176 179 182 187 198 200 209 221 223 230 234 235 244 251]\n",
      "image # 4896, layer # layer3.3.relu has outliers [  2  15  19  57  62  68  70  71  74  83  87  95 111 119 132 140 141 147\n",
      " 148 151 156 159 161 162 166 176 188 189 198 205 209 215 216 223 244 251\n",
      " 254]\n",
      "image # 4933, layer # layer3.3.relu has outliers [ 14  18  33  51  57  62  64  75  88  94 118 119 123 141 159 161 162 171\n",
      " 179 182 186 187 188 198 200 201 217 234 244 245 247 251]\n",
      "image # 5018, layer # layer3.3.relu has outliers [  0   5  10  11  14  15  17  18  28  63  83  85  89  91  97 101 123 128\n",
      " 132 139 141 151 152 159 160 162 169 176 186 198 200 205 206 209 210 221\n",
      " 223 234 251 254]\n",
      "image # 5049, layer # layer3.3.relu has outliers [  0  12  18  19  28  35  53  55  57  62  70  79  83  90 111 118 119 130\n",
      " 139 140 141 147 148 156 159 162 176 187 198 205 206 209 214 223 230 244\n",
      " 245 251]\n",
      "image # 5193, layer # layer3.3.relu has outliers [  0   6  17  18  30  34  47  51  57  62  64  66  71  73  81  97 110 111\n",
      " 114 118 130 132 141 147 148 151 166 168 176 182 183 189 198 206 209 215\n",
      " 223 244 251]\n",
      "image # 5244, layer # layer3.3.relu has outliers [ 14  15  47  54  64  68  72  81  83  91 100 111 130 132 141 151 156 159\n",
      " 161 162 166 183 187 196 198 205 209 214 215 221 223 244 251]\n",
      "image # 5434, layer # layer3.3.relu has outliers [  9  16  31  54  55  62  68  71  81  83  93 130 140 141 147 148 156 161\n",
      " 166 168 174 176 177 182 188 191 209 210 215 244 249 251]\n",
      "image # 5518, layer # layer3.3.relu has outliers [  0  58  62 110 118 126 130 139 140 141 147 148 160 162 170 176 182 183\n",
      " 198 200 206 210 221 224 226 234 245 251]\n",
      "image # 5533, layer # layer3.3.relu has outliers [  3   5   6  14  15  21  35  54  62  63  64  73  83  85  90 111 116 118\n",
      " 119 122 128 132 139 141 147 151 152 156 162 166 188 198 205 215 234 237\n",
      " 251 253]\n",
      "image # 5576, layer # layer3.3.relu has outliers [  2  14  31  47  54  62  64  83  87 100 111 112 130 134 140 141 147 151\n",
      " 156 159 161 162 170 176 179 198 205 209 210 214 215 223 244 251 254]\n",
      "image # 5611, layer # layer3.3.relu has outliers [ 14  15  17  18  19  28  31  51  57  62  63  64  73  74  83  89 107 130\n",
      " 132 139 141 147 153 159 162 166 188 189 198 200 205 210 239 245]\n",
      "image # 5633, layer # layer3.3.relu has outliers [  0   6   7  11  18  23  47  51  57  62  63  83 111 118 130 132 139 140\n",
      " 141 147 150 151 156 161 162 166 197 198 209 210 223 232 244 250 251]\n",
      "image # 5727, layer # layer3.3.relu has outliers [  9  16  57  63  81  83  95 118 130 132 139 141 144 147 151 156 161 166\n",
      " 168 171 179 182 214 215 221 223 251]\n",
      "image # 5805, layer # layer3.3.relu has outliers [  6  16  54  64  71  81  85  87  91  93  94  97 110 119 123 126 128 140\n",
      " 141 148 149 156 160 161 162 166 176 179 182 186 187 198 200 214 215 234]\n",
      "image # 5820, layer # layer3.3.relu has outliers [ 23  34  54  55  64  83  91 101 110 119 123 134 139 140 141 151 156 159\n",
      " 161 162 170 171 177 182 186 196 200 205 206 210 215 217 244 251]\n",
      "image # 5902, layer # layer3.3.relu has outliers [  0   2  18  19  47  51  54  57  62  63  64  73  79  81  83 111 123 139\n",
      " 141 144 148 151 156 159 162 166 187 188 198 205 209 210 214 217 223 245\n",
      " 251]\n",
      "image # 5988, layer # layer3.3.relu has outliers [ 11  15  16  18  19  22  28  34  35  53  57  62  92  93  95  96  97 100\n",
      " 111 130 132 139 141 151 162 166 176 180 182 188 198 209 210 214 215 223\n",
      " 232 245 251]\n",
      "image # 6046, layer # layer3.3.relu has outliers [ 10  47  51  57  61  62  63  74  83  88  89 118 119 123 128 130 139 141\n",
      " 147 151 156 161 166 182 198 210 213 214 215 217 239 247 251]\n",
      "image # 6114, layer # layer3.3.relu has outliers [  6  10  14  15  25  31  47  51  64  83  91  94 111 118 119 122 132 141\n",
      " 151 159 162 166 176 182 187 189 198 200 203 205 215 221 230]\n",
      "image # 6237, layer # layer3.3.relu has outliers [  6  11  14  17  19  28  35  52  54  64  68  83  88  95 105 118 119 123\n",
      " 128 130 132 133 140 141 151 156 159 162 170 176 179 183 186 187 198 200\n",
      " 210 214 234 241 251]\n",
      "image # 6249, layer # layer3.3.relu has outliers [  0   6  11  14  19  28  34  57  62  64  83  91 107 111 118 119 130 139\n",
      " 140 141 147 151 156 161 162 176 187 188 198 200 205 206 209 210 214 221\n",
      " 223 226 240 250 251]\n",
      "image # 6285, layer # layer3.3.relu has outliers [  0  10  14  15  17  19  28  62  64  71  81  85  90  91 118 119 123 128\n",
      " 132 134 140 141 142 148 151 152 156 162 176 186 188 196 198 200 209 210\n",
      " 214 215 221 230 234 236 239 251]\n",
      "image # 6346, layer # layer3.3.relu has outliers [  0  11  14  15  17  22  28  34  35  54  62  64  70  73  83  85  90 100\n",
      " 111 119 123 130 141 149 151 162 176 179 180 188 198 200 205 210 214 221\n",
      " 226 230 240 247 251]\n",
      "image # 6426, layer # layer3.3.relu has outliers [  2   6  15  18  19  51  54  62  63  70  81  83 108 111 112 118 126 148\n",
      " 151 156 161 162 170 188 198 200 205 214 223 234 244 251]\n",
      "image # 6436, layer # layer3.3.relu has outliers [  0   6  10  14  15  17  18  28  33  57  63  64  73  81  82  83  94  95\n",
      " 111 130 132 139 141 151 162 166 187 188 198 209 210 217 221 223 251]\n",
      "image # 6499, layer # layer3.3.relu has outliers [  0   6  11  14  17  28  34  54  62  68  83 118 130 139 141 147 148 156\n",
      " 161 186 188 198 206 209 251]\n",
      "image # 6513, layer # layer3.3.relu has outliers [  0   9  16  18  23  54  55  62  83 100 118 130 139 141 147 156 161 170\n",
      " 171 177 182 188 205 206 210 224 251 254]\n",
      "image # 6614, layer # layer3.3.relu has outliers [  2  19  54  62  87  93 101 110 118 128 130 139 140 141 147 148 162 171\n",
      " 179 182 188 198 205 210 215 254]\n",
      "image # 6747, layer # layer3.3.relu has outliers [ 53  54  62  71  79  83  93 106 126 130 140 141 147 156 166 168 182 188\n",
      " 198 210 223 244 245 251]\n",
      "image # 6824, layer # layer3.3.relu has outliers [  0   1   6  18  19  23  47  54  55  64  68  81  87  91  93 123 130 132\n",
      " 141 156 166 171 177 182 187 188 205 210 214 221 223 228 237 244]\n",
      "image # 6908, layer # layer3.3.relu has outliers [  9  16  19  53  54  62  81  83  87  95  96 111 112 119 123 130 132 142\n",
      " 144 148 156 161 166 183 188 198 214 244 251 254]\n",
      "image # 6931, layer # layer3.3.relu has outliers [  0  18  19  47  55  62  83 110 111 118 119 123 131 132 140 141 156 159\n",
      " 160 161 166 171 177 182 188 205 214 215 244 246 247]\n",
      "image # 6972, layer # layer3.3.relu has outliers [ 10  14  19  25  28  29  47  57  70  71  83  85  91 100 119 123 128 132\n",
      " 140 141 148 150 151 156 159 162 177 189 198 200 201 209 210 214 221 234\n",
      " 236]\n",
      "image # 6974, layer # layer3.3.relu has outliers [  0   6  16  19  54  62  64  68  71  81 118 139 140 141 147 148 161 162\n",
      " 170 171 179 188 210 215 251]\n",
      "image # 7114, layer # layer3.3.relu has outliers [  0  11  17  18  19  28  63  64  75  81  82  83  85  94 111 118 128 130\n",
      " 139 141 142 147 151 159 166 171 179 182 188 209 214 221 223 232 247 250\n",
      " 251]\n",
      "image # 7232, layer # layer3.3.relu has outliers [  0  10  11  14  17  18  28  57  62  63  68  83  94 111 123 126 130 132\n",
      " 139 141 151 156 160 162 179 186 196 198 200 210 214 217 221 223 224 232\n",
      " 244 247 250 251]\n",
      "image # 7243, layer # layer3.3.relu has outliers [ 10  15  18  22  32  40  57  62  64  67  83 100 101 111 119 123 130 133\n",
      " 134 139 141 147 151 156 161 162 168 176 188 198 200 205 209 210 214 249\n",
      " 251 254]\n",
      "image # 7310, layer # layer3.3.relu has outliers [  0   6  11  17  19  34  51  62  64  81  85  90  97 111 118 119 130 132\n",
      " 139 141 142 147 156 161 162 170 176 182 183 185 187 188 192 198 200 205\n",
      " 209 214 217 221 224 226 234 245]\n",
      "image # 7357, layer # layer3.3.relu has outliers [  1   6  16  47  54  55  81  88  90  91  93 100 101 123 141 142 144 148\n",
      " 156 162 166 167 170 171 177 179 180 182 188 198 205 215 251]\n",
      "image # 7370, layer # layer3.3.relu has outliers [  6  15  18  19  31  54  68  71  72  83  87  91  95 111 118 119 130 132\n",
      " 133 139 140 141 147 151 152 156 159 161 162 166 176 182 187 188 198 210\n",
      " 215 223 228 251]\n",
      "image # 7385, layer # layer3.3.relu has outliers [ 10  17  18  19  28  34  57  62  63  64  83 101 106 107 111 118 126 130\n",
      " 134 139 141 151 156 159 162 166 176 188 200 205 210 214 223 232 245 251]\n",
      "image # 7416, layer # layer3.3.relu has outliers [ 11  14  17  18  19  34  35  51  52  61  64  68  83  90  94  95 111 118\n",
      " 130 132 139 141 151 159 162 166 168 179 186 189 198 205 215 217 221 223\n",
      " 244 245 247 251]\n",
      "image # 7494, layer # layer3.3.relu has outliers [  2   6  14  16  22  47  62  64  83  87  97 111 118 119 123 130 137 139\n",
      " 141 147 151 156 162 187 188 198 200 205 210 214 244 251 254]\n",
      "image # 7504, layer # layer3.3.relu has outliers [  0  10  18  19  34  55  64  71  81  85  91 100 101 110 111 123 128 130\n",
      " 133 139 147 150 156 171 177 182 187 188 197 198 205 210 215 221 223 244]\n",
      "image # 7515, layer # layer3.3.relu has outliers [  0   6   7  11  16  19  28  53  62  63  64  83  85 118 126 128 130 147\n",
      " 148 156 162 171 176 179 187 198 199 200 209 214 223 226 251 252]\n",
      "image # 7659, layer # layer3.3.relu has outliers [  0  11  16  18  28  51  62  83  86 110 111 118 128 130 139 141 147 156\n",
      " 161 168 171 182 198 206 210 214 215 224 244 250]\n",
      "image # 7725, layer # layer3.3.relu has outliers [  0  10  11  14  17  18  29  51  62  63  81  85  90  97 111 118 132 135\n",
      " 139 141 147 160 161 166 183 187 206 221 232 247 250 251]\n",
      "image # 7781, layer # layer3.3.relu has outliers [  3   6  11  15  21  28  47  54  55  63  64  83  87  91  92  93  96 100\n",
      " 119 120 123 126 128 130 141 148 156 159 162 177 179 186 187 188 191 196\n",
      " 198 200 209 210 214 221]\n",
      "image # 7828, layer # layer3.3.relu has outliers [  0   4   6  11  14  28  47  54  55  62  83  90  95 100 111 118 119 120\n",
      " 123 128 132 139 141 144 146 147 151 156 161 162 166 176 198 210 244 247\n",
      " 251]\n",
      "image # 7915, layer # layer3.3.relu has outliers [  6  11  17  18  28  34  54  62  79  83 119 123 126 130 132 141 151 156\n",
      " 162 166 168 170 176 187 196 198 200 205 206 210 214 221 224 230 234 244\n",
      " 251]\n",
      "image # 7933, layer # layer3.3.relu has outliers [  2  15  19  23  39  47  51  57  64  68  71  79  83  85  87 141 148 151\n",
      " 156 159 161 162 177 182 186 187 188 189 210 221 234 251 254]\n",
      "image # 7969, layer # layer3.3.relu has outliers [ 11  14  15  28  47  51  57  62  81  83  88  94 111 118 130 134 141 147\n",
      " 151 152 161 162 176 188 198 209 210 214 215 224 232 247 251]\n",
      "image # 8081, layer # layer3.3.relu has outliers [  0  10  18  28  47  57  68  81  83  88  95  96 111 118 128 130 132 139\n",
      " 140 141 147 151 161 162 166 170 183 188 198 210 215 223 224 244 251]\n",
      "image # 8135, layer # layer3.3.relu has outliers [  0  18  19  62  69  81  83 111 118 130 132 139 141 151 160 161 162 166\n",
      " 168 170 187 195 196 200 205 209 214 221 223 234 247 250 251]\n",
      "image # 8138, layer # layer3.3.relu has outliers [  6  15  19  55  63  70  81  83  87  94  95 100 102 119 123 130 139 141\n",
      " 144 147 151 156 162 166 171 177 179 182 188 198 205 215 217 221 223 230\n",
      " 251]\n",
      "image # 8161, layer # layer3.3.relu has outliers [  1   6  10  18  54  57  62  63  64  68  71  81  87 100 118 123 128 132\n",
      " 139 140 141 147 148 156 159 160 161 176 187 188 198 200 205 210 215 221\n",
      " 234 251]\n",
      "image # 8174, layer # layer3.3.relu has outliers [  1   4   6  16  19  21  47  57  71  81  83  87  90  91  94 100 111 112\n",
      " 118 119 123 126 128 130 132 141 148 149 156 160 161 162 176 179 182 186\n",
      " 188 198 200 205 214 221 230 234 237]\n",
      "image # 8253, layer # layer3.3.relu has outliers [  6  14  15  19  54  63  64  81  83  91  95 100 110 111 118 119 122 123\n",
      " 130 141 148 151 156 159 160 162 170 188 189 198 200 205 209 215 223 234\n",
      " 247 251]\n",
      "image # 8273, layer # layer3.3.relu has outliers [  0   6  11  18  30  39  54  56  62  64  85  87 100 132 139 140 141 147\n",
      " 148 156 161 171 177 179 182 196 198 199 200 206 210 215 244 251]\n",
      "image # 8342, layer # layer3.3.relu has outliers [  0   4  18  21  47  51  54  57  62  68  71  83  91 100 106 111 118 128\n",
      " 140 141 147 151 156 161 184 188 196 198 200 205 209 214 215 228 234 251]\n",
      "image # 8353, layer # layer3.3.relu has outliers [ 47  57  82  83  91 118 119 132 140 141 144 146 148 151 156 160 161 162\n",
      " 166 176 188 200 205 206 209 210 214 221 223 247 251]\n",
      "image # 8358, layer # layer3.3.relu has outliers [  0  14  17  18  19  28  51  61  62  83  91  94 111 118 123 130 141 149\n",
      " 160 161 162 166 171 189 192 210 214 215 221 244 251]\n",
      "image # 8372, layer # layer3.3.relu has outliers [  2   6  33  47  54  55  57  62  70  87  88  91  97 120 123 141 148 150\n",
      " 156 166 171 179 182 183 186 188 198 200 205 209 210 217 221 251]\n",
      "image # 8535, layer # layer3.3.relu has outliers [  0   2  28  53  57  63  64  71  75  85  87  95  96 100 123 128 130 132\n",
      " 141 160 162 166 176 182 187 188 198 200 210 214 223 251]\n",
      "image # 8544, layer # layer3.3.relu has outliers [  9  11  19  47  51  54  55  68  81  83  91 130 139 140 141 147 148 156\n",
      " 161 166 174 189 197 198 205 209 210 214 215 251]\n",
      "image # 8612, layer # layer3.3.relu has outliers [  0  11  19  34  55  57  62  64  83  94 111 118 123 126 128 130 134 141\n",
      " 142 147 156 170 176 177 182 198 210 217 224 244]\n",
      "image # 8717, layer # layer3.3.relu has outliers [  0  10  11  17  18  51  57  63  73  81  83 111 118 128 130 132 139 141\n",
      " 147 151 168 188 192 198 205 209 210 214 217 221 223 247 251]\n",
      "image # 8755, layer # layer3.3.relu has outliers [  0   2  18  47  54  57  62  81  83  91  92 101 111 118 120 130 141 147\n",
      " 156 166 182 188 198 209 215 221 234 244 251]\n",
      "image # 8800, layer # layer3.3.relu has outliers [  6  14  23  34  52  54  63  64  71  73  83  95 123 130 139 140 141 148\n",
      " 151 159 162 166 170 172 188 198 200 206 209 210 214 215 251]\n",
      "image # 8909, layer # layer3.3.relu has outliers [  0   1  18  29  47  51  63  64  81  94 110 111 118 132 140 141 144 147\n",
      " 148 159 162 166 170 171 182 210 215 221 223 244 245 246 249 251]\n",
      "image # 8923, layer # layer3.3.relu has outliers [ 11  14  17  18  31  54  68  81  83  90 111 118 128 130 132 139 141 147\n",
      " 156 161 198 209 214 217 251]\n",
      "image # 8930, layer # layer3.3.relu has outliers [  0  11  17  57  62  82  90  96 110 111 118 130 139 141 161 166 176 182\n",
      " 200 205 206 209 215 221 223 224 234 244 245 250 251]\n",
      "image # 8933, layer # layer3.3.relu has outliers [  0  12  16  18  19  57  62  83  92 118 119 130 132 139 141 144 147 148\n",
      " 156 176 188 198 209 214 223 251]\n",
      "image # 8996, layer # layer3.3.relu has outliers [  0   5  11  14  15  17  18  28  35  56  62  63  83  85  89  94  97 101\n",
      " 106 111 126 130 132 139 141 151 160 171 186 200 210 214 221 232 241 247\n",
      " 251]\n",
      "image # 9047, layer # layer3.3.relu has outliers [  0   6  15  18  19  29  52  62  64  71  79  83  90 118 119 123 130 141\n",
      " 148 156 161 162 170 182 187 188 189 198 200 209 221 223 234 244 247 251\n",
      " 254]\n",
      "image # 9111, layer # layer3.3.relu has outliers [  2  11  19  31  47  54  57  68  71  83  87  91 111 118 128 130 132 139\n",
      " 140 141 142 147 151 156 161 162 176 182 188 196 198 200 209 214 215 244\n",
      " 251]\n",
      "image # 9208, layer # layer3.3.relu has outliers [  0   6  10  11  18  54  55  62  68  93 130 139 140 141 147 156 161 162\n",
      " 170 177 182 183 188 198 205 206 210 214 224]\n",
      "image # 9320, layer # layer3.3.relu has outliers [  2   6  12  18  19  28  31  53  62  63  83  85  88  96 100 101 111 118\n",
      " 119 128 130 132 148 151 156 160 162 179 182 188 189 198 200 214 215 223\n",
      " 230 232 251]\n",
      "image # 9333, layer # layer3.3.relu has outliers [  0   7  11  16  18  19  28  34  39  51  63  64  66  75  83  85  89  92\n",
      "  96 103 106 111 118 119 126 130 147 148 156 171 172 182 188 189 192 198\n",
      " 210 214 215 221 224 254]\n",
      "image # 9585, layer # layer3.3.relu has outliers [  0  14  17  19  28  62  64  66  83  90 106 110 111 123 130 137 139 141\n",
      " 156 160 162 171 176 186 187 188 198 200 205 206 210 221 223 226 234 244\n",
      " 247]\n",
      "image # 9597, layer # layer3.3.relu has outliers [  0   6  14  18  19  28  35  47  51  57  62  63  64  81  83 111 118 130\n",
      " 132 139 141 147 161 162 198 206 209 210 215 217 221 223 245 251]\n",
      "image # 9598, layer # layer3.3.relu has outliers [  1  18  19  34  47  55  62  63  64  81  91 101 107 111 120 123 130 139\n",
      " 141 147 156 162 177 182 188 197 198 205 210 215 221 223 251]\n",
      "image # 9611, layer # layer3.3.relu has outliers [  2  16  53  54  68  70  81  83  87  88  93 100 111 119 123 128 140 141\n",
      " 142 156 161 166 171 176 177 179 182 188 198 210 215 236 244 251]\n",
      "image # 9655, layer # layer3.3.relu has outliers [  1  15  19  23  47  57  62  70  72  81  91 100 104 132 139 141 147 148\n",
      " 149 156 161 162 166 170 176 182 187 188 198 200 205 209 210 215 221 224\n",
      " 234 235 244 251]\n",
      "image # 9716, layer # layer3.3.relu has outliers [  0  11  18  35  52  54  57  63  68  70  83  91  94 100 132 139 141 151\n",
      " 152 156 182 187 198 200 209 210 215 221 223 234 251]\n",
      "image # 9807, layer # layer3.3.relu has outliers [  0  11  17  19  28  29  47  51  54  55  63  64  83  86 120 123 124 128\n",
      " 130 133 141 147 151 156 159 162 166 171 177 182 187 188 198 210 215 217\n",
      " 221 224 228 251]\n",
      "image # 9854, layer # layer3.3.relu has outliers [  6  28  57  62  64  71  83  96 107 111 118 128 130 132 139 140 141 147\n",
      " 148 151 156 161 162 179 188 198 199 209 210 214 215 221 251]\n",
      "image # 9870, layer # layer3.3.relu has outliers [  2  15  18  19  28  51  57  62  64  71  74  83  90  97 111 118 119 130\n",
      " 141 156 161 162 166 182 188 198 200 209 210 216 221 249 251]\n",
      "image # 9914, layer # layer3.3.relu has outliers [  2  19  53  54  57  71  79  83  95  97 107 118 130 132 140 141 151 156\n",
      " 166 182 187 188 198 199 205 209 215 223 228 250 251 252]\n",
      "image # 9937, layer # layer3.3.relu has outliers [  0  23  53  57  62  71  83 118 130 139 147 151 156 182 188 197 198 210\n",
      " 214 224 244 245 251]\n",
      "image # 10055, layer # layer3.3.relu has outliers [  2  19  22  47  54  57  71  83  88  95 107 118 119 128 130 132 139 140\n",
      " 141 147 151 156 161 162 176 180 182 188 189 192 198 205 214 221 230 234\n",
      " 250 251]\n",
      "image # 10087, layer # layer3.3.relu has outliers [ 23  54  64  66  68  83  87  91  95 100 111 118 119 123 130 139 140 141\n",
      " 144 147 156 161 162 166 168 170 176 187 188 196 198 200 205 210 221 224\n",
      " 244 251 254]\n",
      "image # 10129, layer # layer3.3.relu has outliers [ 15  24  31  47  57  62  81 119 128 130 134 141 147 156 160 161 176 182\n",
      " 183 188 198 200 209 210 214 215 221 244 251]\n",
      "image # 10156, layer # layer3.3.relu has outliers [  0   6  19  28  34  64  83  91  97 106 119 123 141 142 156 162 166 176\n",
      " 187 196 198 199 200 205 210 214 223 226 234 240 251 254]\n",
      "image # 10193, layer # layer3.3.relu has outliers [  0   6   7  18  29  47  54  55  62  68  71  92 111 120 128 140 141 147\n",
      " 156 166 170 177 182 188 198 210 215 224 245 246 249 251]\n",
      "image # 10209, layer # layer3.3.relu has outliers [  0   7  10  11  14  17  18  28  33  63  64  67  83  85  97 130 132 139\n",
      " 140 141 151 156 159 160 161 166 171 186 200 210 221 239 247 251]\n",
      "image # 10225, layer # layer3.3.relu has outliers [  0  11  17  18  23  51  57  62  92  97 118 130 132 139 141 147 160 168\n",
      " 171 200 205 206 209 210 213 221 234 251]\n",
      "image # 10251, layer # layer3.3.relu has outliers [ 18  19  31  33  34  51  57  63  64  71  73  83  92  94 101 134 141 147\n",
      " 159 160 162 166 176 182 198 205 210 215 221 223 234 251]\n",
      "image # 10259, layer # layer3.3.relu has outliers [  6   7  11  15  18  47  62  63  64  73  83  85  91 100 101 111 118 119\n",
      " 123 128 130 139 140 141 147 148 151 156 161 162 168 171 176 187 188 198\n",
      " 210 214 223 224 251]\n",
      "image # 10263, layer # layer3.3.relu has outliers [  0  14  17  28  51  56  62  64  83 111 118 130 135 139 141 147 161 162\n",
      " 168 170 172 188 196 198 199 210 214 217 224 226 251]\n",
      "image # 10269, layer # layer3.3.relu has outliers [  0   1   4   7  10  11  23  47  54  57  62  81  83 111 118 123 130 141\n",
      " 156 161 162 166 168 170 182 186 187 198 200 205 206 210 221 224 234 236\n",
      " 251]\n",
      "image # 10273, layer # layer3.3.relu has outliers [  0   6  18  19  28  47  54  62  63  64  66  83 106 111 130 141 147 148\n",
      " 156 160 162 170 176 177 188 196 198 199 209 210 214 221]\n",
      "image # 10297, layer # layer3.3.relu has outliers [  0   6   9  19  28  81  83  85  91  95 130 131 132 141 148 156 160 166\n",
      " 182 183 188 191 198 200 209 214 223 228 247 250 251]\n",
      "image # 10343, layer # layer3.3.relu has outliers [  0  16  19  24  28  47  50  54  55  62  64  81  83  88 100 111 118 123\n",
      " 130 133 139 141 144 147 156 159 166 182 188 198 210 215 223 244 251]\n",
      "image # 10377, layer # layer3.3.relu has outliers [  1   2   4  18  19  47  51  57  62  63  64  80  83  91 107 122 141 156\n",
      " 161 162 176 179 187 188 196 198 200 205 210 214 218 221 234 236 251]\n",
      "image # 10385, layer # layer3.3.relu has outliers [  0   1   6   9  10  18  28  29  39  47  54  55  81  85  93 100 101 111\n",
      " 119 123 126 128 132 141 144 147 156 159 166 170 171 177 179 180 182 198\n",
      " 210 217 221 234 246 249]\n",
      "image # 10398, layer # layer3.3.relu has outliers [  6  11  14  34  47  51  64  83  87  91 100 110 111 118 119 132 139 141\n",
      " 147 148 156 159 161 162 171 172 176 179 186 200 209 210 214 223 236 246\n",
      " 251]\n",
      "image # 10418, layer # layer3.3.relu has outliers [  2  15  16  22  24  31  54  71  83  87  88  95  97 119 127 130 132 133\n",
      " 141 151 152 156 161 166 180 182 188 198 205 214 215 221 223 244 250 251]\n",
      "image # 10513, layer # layer3.3.relu has outliers [  0   6  54  64  92  93 110 139 140 141 147 148 156 161 162 170 182 188\n",
      " 199 206 209 210 215 251]\n",
      "image # 10524, layer # layer3.3.relu has outliers [  0  10  11  54  62  63  64  68  83 111 118 139 140 141 147 148 151 156\n",
      " 160 166 188 196 200 205 210 214 215 221 234 251]\n",
      "image # 10705, layer # layer3.3.relu has outliers [ 16  47  51  83  88  95 111 112 118 119 130 132 139 141 144 148 151 156\n",
      " 161 162 166 170 179 182 188 198 200 205 210 214 217 223 244 251]\n",
      "image # 10817, layer # layer3.3.relu has outliers [  0  11  17  18  19  28  57  62  63  64  71  83  97 106 118 126 130 137\n",
      " 139 141 142 148 160 161 162 176 183 188 198 200 206 209 210 223 224 232\n",
      " 245 247]\n",
      "image # 10818, layer # layer3.3.relu has outliers [  0  11  16  19  47  51  54  62  64  75  83  86  94 111 118 119 130 140\n",
      " 141 147 150 151 156 161 168 170 171 172 177 179 188 189 198 205 214 215\n",
      " 221 234 244 251]\n",
      "image # 10821, layer # layer3.3.relu has outliers [  0   2   6  10  14  15  18  28  57  61  62  64  71  73  83  88 100 111\n",
      " 118 119 123 130 131 132 139 141 148 159 162 176 179 186 187 188 196 198\n",
      " 200 205 209 210 214 217 221 223 234 244 247 251]\n",
      "image # 10866, layer # layer3.3.relu has outliers [  6  19  54  63  68  71  81  83  93 100 104 106 108 111 118 139 148 156\n",
      " 161 162 171 177 183 188 198 210 214 215 251 254]\n",
      "image # 10946, layer # layer3.3.relu has outliers [  0   6  10  11  14  15  18  28  63  64  67  83  85  87  92 118 119 128\n",
      " 130 132 139 141 147 151 156 162 166 171 176 179 187 188 198 200 210 215\n",
      " 221 234 239 241 247 251]\n",
      "layer layer3.4.relu\n",
      "image # 130, layer # layer3.4.relu has outliers [  2   4  15  54  83  87  88  90  95  97 118 119 134 140 144 147 166 198\n",
      " 214 215 246 251]\n",
      "image # 135, layer # layer3.4.relu has outliers [ 15  19  21  63  71  73  83  88  91 107 128 130 134 140 147 162 198 199\n",
      " 200 210 214 215 221 234 251]\n",
      "image # 250, layer # layer3.4.relu has outliers [  0   9  19  31  47  51  52  63  64  71  83  88  90 101 118 119 123 127\n",
      " 134 145 159 162 166 168 169 170 171 177 188 198 203 206 214 215 221 223\n",
      " 230 236 238]\n",
      "image # 383, layer # layer3.4.relu has outliers [  3   4  16  18  19  28  62  63  69  73  81  83 118 130 134 139 168 170\n",
      " 171 183 188 198 209 214 215 221 234 245 254]\n",
      "image # 399, layer # layer3.4.relu has outliers [  0  10  15  18  30  31  33  57  62  63  75  82  83  90  95 102 130 131\n",
      " 147 151 166 182 187 188 198 210 215 221 223 224 232 246 250 251]\n",
      "image # 519, layer # layer3.4.relu has outliers [  0   3  11  16  19  30  51  52  53  54  66  85  87  90  91 110 119 144\n",
      " 151 162 166 169 170 188 206 207 215 217 230 237 240 251]\n",
      "image # 540, layer # layer3.4.relu has outliers [ 10  14  17  18  28  62  63  69  82  83 110 118 119 120 126 128 130 132\n",
      " 139 147 162 170 171 179 195 210 214 215 224 236]\n",
      "image # 551, layer # layer3.4.relu has outliers [  4   9  11  16  19  53  54  62  81  82  83  87  88  90  95  97 115 118\n",
      " 119 128 130 131 140 147 161 170 171 182 183 188 198 205 206 215 228 246]\n",
      "image # 579, layer # layer3.4.relu has outliers [  1  10  19  29  51  54  57  62  63  64  81  82  83  85  88  91 101 109\n",
      " 112 117 123 130 147 161 162 166 168 170 179 182 186 195 200 213 215 221]\n",
      "image # 739, layer # layer3.4.relu has outliers [  4  12  16  19  30  52  54  63  64  71  83  85 101 118 137 142 151 166\n",
      " 179 188 192 198 199 200 206 214 215 221 230 240 245]\n",
      "image # 751, layer # layer3.4.relu has outliers [ 10  11  14  15  17  18  57  62  63  83  88 123 126 128 130 132 134 147\n",
      " 151 162 168 188 198 210 214 224 226 234 251]\n",
      "image # 818, layer # layer3.4.relu has outliers [  2  47  52  71  83  88  90  95 101 112 118 130 132 134 139 147 151 161\n",
      " 166 170 188 198 215 221 236 251 254]\n",
      "image # 821, layer # layer3.4.relu has outliers [  0  11  16  19  22  30  54  79  83  87 118 130 134 144 147 152 159 170\n",
      " 171 179 188 215 221 251]\n",
      "image # 878, layer # layer3.4.relu has outliers [ 16  18  19  54  62  83  87  94 101 108 111 112 123 127 130 144 147 159\n",
      " 170 171 174 179 188 198 210 215 221 238]\n",
      "image # 907, layer # layer3.4.relu has outliers [  0   4  19  23  47  62  82  83  88 118 123 127 128 130 131 132 134 147\n",
      " 161 168 170 171 174 179 215 221]\n",
      "image # 1042, layer # layer3.4.relu has outliers [ 11  16  31  52  58  62  64  67  71  83  85  91  96 101 104 118 119 132\n",
      " 134 137 145 151 160 162 186 188 199 206 211 214 215 221 230 234 254]\n",
      "image # 1134, layer # layer3.4.relu has outliers [  2  15  18  19  22  24  53  83  87  88  90  95 101 111 119 128 130 134\n",
      " 140 144 147 161 166 182 198 205 214 215 221 244 251]\n",
      "image # 1195, layer # layer3.4.relu has outliers [ 18  19  21  53  57  62  82  83 101 108 111 118 119 123 126 128 130 132\n",
      " 136 142 147 161 162 166 183 186 188 198 199 200 214 230 234 245 247 254]\n",
      "image # 1207, layer # layer3.4.relu has outliers [  2   4  14  15  17  31  52  54  61  62  63  64  83  85  88  89 106 118\n",
      " 119 128 130 132 134 145 151 162 198 207 214 215 230 236]\n",
      "image # 1250, layer # layer3.4.relu has outliers [  2  10  14  21  29  47  51  61  63  64  70  71  83  85  88  90 100 101\n",
      " 111 118 123 126 128 132 142 147 161 162 166 179 198 201 205 214 221 251]\n",
      "image # 1285, layer # layer3.4.relu has outliers [  2  15  22  23  31  53  83  85  87  88 134 156 166 179 188 198 215 221\n",
      " 223 226 244 246 251 254]\n",
      "image # 1296, layer # layer3.4.relu has outliers [  4  10  11  18  19  39  44  54  62  63  73  81  83  94 118 123 128 130\n",
      " 131 132 134 139 147 151 166 170 183 198 205 208 214 215 217 221 237 244\n",
      " 245 253]\n",
      "image # 1382, layer # layer3.4.relu has outliers [  0   4   5   7  10  11  19  53  90  97 115 118 119 123 130 132 144 159\n",
      " 160 182 183 198 214 215 216 223 230 244 251]\n",
      "image # 1392, layer # layer3.4.relu has outliers [  2  14  28  52  54  63  83  95 100 101 104 106 111 130 132 147 159 169\n",
      " 174 179 198 214 215 217 221]\n",
      "image # 1451, layer # layer3.4.relu has outliers [ 11  16  18  19  53  63  69  79  82 106 111 118 119 123 126 130 135 147\n",
      " 162 166 170 171 183 186 200 209 214 223 224 244 251]\n",
      "image # 1457, layer # layer3.4.relu has outliers [  2   4  10  14  22  47  54  70  83  85  87  88  90  91 105 118 119 126\n",
      " 134 137 145 159 160 162 166 168 174 179 187 188 198 201 205 214 215 221\n",
      " 226 251]\n",
      "image # 1520, layer # layer3.4.relu has outliers [  2   4  16  19  22  24  54  57  62  71  76  83  87  88  90  91 105 119\n",
      " 123 130 134 147 153 159 166 170 174 188 198 214 221 234 244 251 252]\n",
      "image # 1545, layer # layer3.4.relu has outliers [ 18  19  22  47  53  82  83  88  90  95  97 118 130 132 134 139 144 151\n",
      " 166 200 205 215 216 244 251]\n",
      "image # 1724, layer # layer3.4.relu has outliers [  0   4   9  11  18  47  54  55  83  87  95 112 118 119 123 127 130 147\n",
      " 162 168 170 177 191 207 208 210 215 224 234 251]\n",
      "image # 1777, layer # layer3.4.relu has outliers [  1  15  16  19  21  29  61  83  85  87  94 104 112 118 120 128 132 134\n",
      " 147 161 162 179 198 200 214 217 221 245]\n",
      "image # 1846, layer # layer3.4.relu has outliers [  2  11  14  17  19  35  54  62  63  69  73  83  88  91 109 118 119 122\n",
      " 123 127 130 145 152 166 170 176 179 182 195 198 200 205 214 221 223 228\n",
      " 230]\n",
      "image # 1864, layer # layer3.4.relu has outliers [ 10  11  17  18  34  55  57  61  62  83  86 101 111 118 130 132 134 139\n",
      " 147 151 170 179 192 195 205 215 217 247 251]\n",
      "image # 1912, layer # layer3.4.relu has outliers [  1   4  11  14  17  32  47  55  57  62  82  83  90  95 101 119 123 127\n",
      " 130 134 144 161 162 179 192 201 205 214 215 216 223 224 244 246 247 251]\n",
      "image # 1969, layer # layer3.4.relu has outliers [  2   4  12  19  20  54  62  64  71  82  83  93 101 106 118 123 134 136\n",
      " 137 182 187 188 210 215 221 234 251 254]\n",
      "image # 1970, layer # layer3.4.relu has outliers [  2  10  11  12  14  15  18  51  52  62  63  73  82  83  85  90 111 118\n",
      " 122 126 128 130 159 166 170 198 205 213 214 215 236 237 251 254]\n",
      "image # 2006, layer # layer3.4.relu has outliers [ 11  19  57  62  63  82  83  90 101 112 118 130 132 140 148 152 160 162\n",
      " 166 168 170 179 188 200 205 213 215 221 234 236]\n",
      "image # 2025, layer # layer3.4.relu has outliers [  2  14  15  16  19  47  53  54  63  81  83  88  90 101 118 128 130 134\n",
      " 139 147 151 159 161 162 166 170 188 198 200 205 215 223 251]\n",
      "image # 2117, layer # layer3.4.relu has outliers [ 11  15  18  22  53  57  62  67  79  83  85 101 107 111 118 119 128 130\n",
      " 132 134 147 161 162 166 169 175 183 188 189 198 200 203 206 214 215 239\n",
      " 247 251 252]\n",
      "image # 2269, layer # layer3.4.relu has outliers [ 10  11  19  23  47  62  63  79  83  88  96 101 110 118 130 131 132 134\n",
      " 139 142 151 169 170 171 179 188 209 214 215 224 244 245 247 254]\n",
      "image # 2421, layer # layer3.4.relu has outliers [  0  16  17  19  22  53  63  79  83  85  95 101 110 111 119 130 134 142\n",
      " 144 161 162 169 177 179 188 206 207 214 215 221 223 224 232 244 251]\n",
      "image # 2524, layer # layer3.4.relu has outliers [ 11  16  17  51  62  63  64  82  83  88  93  97 101 118 120 130 134 147\n",
      " 151 170 188 211 214 223 224 234 251]\n",
      "image # 2530, layer # layer3.4.relu has outliers [  2   4  16  18  19  47  52  53  55  64  82  83  88  92  95  97 100 101\n",
      " 112 119 134 144 145 151 159 169 170 179 188 198 200 205 215 221 223 230\n",
      " 234 238 244 251]\n",
      "image # 2565, layer # layer3.4.relu has outliers [  2  14  15  16  29  47  54  66  70  82  83  87  91  97 101 102 119 123\n",
      " 132 134 142 144 145 156 159 162 166 168 169 170 174 179 187 198 201 215\n",
      " 221 228 230 234 237 247 251]\n",
      "image # 2635, layer # layer3.4.relu has outliers [  0  11  19  22  30  53  54  62  79  83 104 119 123 130 134 144 147 160\n",
      " 171 174 179 200 210 215 217 221 244 247 254]\n",
      "image # 2638, layer # layer3.4.relu has outliers [  2  18  19  47  54  62  82  83  88  96 111 118 128 130 134 140 147 151\n",
      " 161 162 166 170 177 179 182 188 196 198 205 215 223 251]\n",
      "image # 2727, layer # layer3.4.relu has outliers [  3  15  23  31  54  63  83  90  95  97 118 130 132 134 147 159 166 170\n",
      " 198 214 215 221 223 224 228 244]\n",
      "image # 2817, layer # layer3.4.relu has outliers [  2   4  19  23  51  62  63  64  71  83  91  93 107 128 130 134 139 147\n",
      " 170 188 214 224 228]\n",
      "image # 2937, layer # layer3.4.relu has outliers [ 16  17  52  54  55  62  63  83  87  90  94 118 119 124 130 134 144 151\n",
      " 160 162 168 169 170 171 179 195 198 200 215 217 223 230 238 247 254]\n",
      "image # 2942, layer # layer3.4.relu has outliers [ 10  15  29  39  55  71  83  88  91  93 100 120 123 128 134 147 170 171\n",
      " 177 179 182 188 191 192 205 207 210 215 217 221 228 237 246]\n",
      "image # 2962, layer # layer3.4.relu has outliers [ 11  47  51  54  62  63  82  83  88  90 118 119 123 130 132 134 152 166\n",
      " 168 183 187 189 198 214 215 216 223 228 244 251]\n",
      "image # 3065, layer # layer3.4.relu has outliers [ 11  14  15  17  52  58  61  63  64  66  67  73  83 118 120 128 130 135\n",
      " 139 147 152 162 170 205 214 215 223 251]\n",
      "image # 3147, layer # layer3.4.relu has outliers [ 10  14  15  18  31  62  63  64  73  82  83  85  90 101 111 118 125 128\n",
      " 130 132 139 151 152 159 166 168 169 174 198 205 215 221 223 251 253]\n",
      "image # 3287, layer # layer3.4.relu has outliers [  0   4  15  16  18  22  53  54  57  62  63  73  83  87  88  95 119 128\n",
      " 130 144 147 166 168 182 198 215 221 251]\n",
      "image # 3395, layer # layer3.4.relu has outliers [  0  11  14  17  24  62  63  82  83  90  94 102 106 115 119 120 123 130\n",
      " 132 139 146 159 166 179 192 201 205 215 217 221 246 251]\n",
      "image # 3643, layer # layer3.4.relu has outliers [ 11  14  17  24  28  51  54  62  63  82  83  91  94 109 130 132 134 166\n",
      " 176 183 198 200 209 215 224 230 234 245 251]\n",
      "image # 3811, layer # layer3.4.relu has outliers [ 17  18  62  82  83  97 118 128 130 132 134 139 140 151 160 166 188 198\n",
      " 214 226 251 254]\n",
      "image # 3846, layer # layer3.4.relu has outliers [  0  11  16  19  52  54  62  63  83  90  95  96 107 118 130 134 135 137\n",
      " 147 148 160 179 188 189 196 198 200 215 251]\n",
      "image # 3930, layer # layer3.4.relu has outliers [  2  16  24  28  31  52  54  70  71  83  87  91  94  97 100 112 119 123\n",
      " 130 134 144 160 162 166 170 171 179 198 200 215 221 251]\n",
      "image # 3953, layer # layer3.4.relu has outliers [ 16  47  57  62  82  83  95 101 106 119 123 132 134 144 145 147 161 162\n",
      " 166 168 192 205 207 211 214 215 221 223 234 243 247 251]\n",
      "image # 4002, layer # layer3.4.relu has outliers [  2  15  19  22  47  57  71  82  83  88  95  97 101 128 130 134 139 147\n",
      " 162 166 169 179 198 205 214 215 221 223 226 230 244 254]\n",
      "image # 4014, layer # layer3.4.relu has outliers [  3  10  11  14  15  16  19  23  34  39  73  90 101 107 118 120 122 123\n",
      " 124 128 130 131 134 143 145 147 162 170 188 198 205 210 245 248 253]\n",
      "image # 4064, layer # layer3.4.relu has outliers [  4  11  16  17  19  54  62  82  83  91  96  97 107 123 132 150 166 170\n",
      " 182 187 192 195 198 200 205 209 215 221 228]\n",
      "image # 4078, layer # layer3.4.relu has outliers [ 11  12  19  29  47  51  52  53  62  64  74  83  88  90 111 118 119 130\n",
      " 132 134 139 151 166 196 198 205 214 215 226 244]\n",
      "image # 4100, layer # layer3.4.relu has outliers [  0  18  54  62  63  64  82  83  90  97 101 118 123 130 134 147 148 161\n",
      " 162 170 182 188 196 198 199 214 215 217 221 234 251]\n",
      "image # 4115, layer # layer3.4.relu has outliers [  7  11  16  30  39  51  63  83  85  88 106 107 111 118 128 130 134 139\n",
      " 147 150 151 162 168 170 177 198 200 210 215 220 224 230 251]\n",
      "image # 4256, layer # layer3.4.relu has outliers [  4  11  16  21  28  52  54  62  64  83  87  88  91 100 101 119 128 130\n",
      " 132 134 142 145 147 155 156 161 162 170 171 179 188 198 200 210 214 215\n",
      " 221 254]\n",
      "image # 4317, layer # layer3.4.relu has outliers [ 11  16  19  52  66  71  83  97 118 130 134 137 139 147 151 162 183 188\n",
      " 214 215 223 232 251]\n",
      "image # 4342, layer # layer3.4.relu has outliers [  4  10  12  14  18  32  37  54  62  63  64  73  82  83  85 101 118 119\n",
      " 123 126 128 132 134 146 162 186 198 214 215 230 244 251]\n",
      "image # 4374, layer # layer3.4.relu has outliers [  4  15  18  53  62  63  64  81  83  88  90 101 115 118 130 132 134 139\n",
      " 140 144 147 161 166 168 170 182 198 206 214 215 221 230 244]\n",
      "image # 4388, layer # layer3.4.relu has outliers [ 16  17  51  53  82  83  88  90  95 101 118 130 139 140 144 147 151 161\n",
      " 166 170 188 214 215 244 245 251]\n",
      "image # 4392, layer # layer3.4.relu has outliers [  2  11  30  47  62  63  64  69  70  82  83  85 100 101 106 118 123 126\n",
      " 130 132 145 147 159 162 166 170 186 196 205 214 215 223 230 234 236 245\n",
      " 251 254]\n",
      "image # 4452, layer # layer3.4.relu has outliers [  2   7  15  16  19  22  39  54  62  63  71  83  85 111 118 119 130 147\n",
      " 159 182 188 189 206 215 221 244 246]\n",
      "image # 4484, layer # layer3.4.relu has outliers [  2  16  47  71  83  91  93 128 134 142 147 166 174 177 179 198 214 230\n",
      " 251]\n",
      "image # 4509, layer # layer3.4.relu has outliers [ 11  15  17  22  23  63  66  82  83  88  95 106 118 130 134 139 147 151\n",
      " 162 168 170 188 214 222 223 226 251]\n",
      "image # 4564, layer # layer3.4.relu has outliers [  2   5  14  17  24  25  35  52  64  66  79  82  83  85  88  90 101 106\n",
      " 118 119 130 151 155 166 168 192 214 215 223 230 234 251]\n",
      "image # 4804, layer # layer3.4.relu has outliers [ 15  16  19  22  28  29  51  52  55  62  63  79  83  85 102 112 128 130\n",
      " 131 134 135 144 147 159 161 170 171 177 179 188 189 190 207 214 215 221\n",
      " 223 251]\n",
      "image # 4833, layer # layer3.4.relu has outliers [  0   2   4   5  10  11  51  72  82  85  90  95  97 117 132 134 144 152\n",
      " 166 170 198 221 224 230 234 235 237]\n",
      "image # 4896, layer # layer3.4.relu has outliers [  2  12  19  22  47  52  57  62  70  71  74  83  88  95 101 112 119 130\n",
      " 132 134 140 147 148 159 166 188 198 205 215 216 223 251 254]\n",
      "image # 4933, layer # layer3.4.relu has outliers [ 14  18  33  51  57  82  83  88  94 101 118 119 123 126 134 152 171 179\n",
      " 181 186 188 198 201 215 217 230 245 246]\n",
      "image # 5018, layer # layer3.4.relu has outliers [  0   5  11  15  17  18  30  63  64  67  69  73  83  85  97 101 119 123\n",
      " 128 132 134 145 151 152 160 162 169 186 198 200 205 206 210 214 221 223\n",
      " 226 230 234]\n",
      "image # 5049, layer # layer3.4.relu has outliers [ 12  53  62  79  83  90 101 118 119 140 144 198 205 214 215 223 230 251]\n",
      "image # 5193, layer # layer3.4.relu has outliers [ 18  30  34  51  57  62  64  66  71  73 101 110 111 114 118 130 132 142\n",
      " 148 166 168 183 188 189 214 215 221 230 247]\n",
      "image # 5244, layer # layer3.4.relu has outliers [ 14  15  19  23  47  54  72  83  88  95 112 130 132 134 147 159 161 162\n",
      " 166 170 196 205 214 215 221 223 224 251 254]\n",
      "image # 5434, layer # layer3.4.relu has outliers [  0   9  31  53  55  71  76  79  83  88  93  96 101 119 128 130 134 137\n",
      " 144 147 148 161 170 174 177 179 188 191 221 224 230 238 249 251]\n",
      "image # 5518, layer # layer3.4.relu has outliers [  0  11  82 118 126 130 139 140 147 160 170 183 198 200 210 214 224 226\n",
      " 234 245]\n",
      "image # 5533, layer # layer3.4.relu has outliers [  3   5  12  14  15  16  53  54  62  63  73  83  85  90 116 118 119 128\n",
      " 131 132 147 152 166 170 198 205 215 237 244 251 253]\n",
      "image # 5576, layer # layer3.4.relu has outliers [  2  14  31  47  54  62  83  87 112 130 134 140 147 151 161 170 179 205\n",
      " 214 215 223 244 251]\n",
      "image # 5611, layer # layer3.4.relu has outliers [ 11  14  15  16  17  18  19  31  51  57  62  63  73  74  83  90 101 107\n",
      " 117 130 134 147 151 153 159 166 188 189 198 200 205 208 209 215 239 245]\n",
      "image # 5633, layer # layer3.4.relu has outliers [  4   7  11  23  51  57  62  63  69  82  83  90 107 111 118 130 137 139\n",
      " 147 150 151 161 162 168 209 215 223 224 232 244 245 250 251]\n",
      "image # 5727, layer # layer3.4.relu has outliers [  9  16  22  57  63  82  83  95 104 112 118 130 132 139 144 147 151 166\n",
      " 168 170 171 179 207 215 221 223 224 247 251]\n",
      "image # 5805, layer # layer3.4.relu has outliers [  2  15  16  22  57  71  82  85  88  93  97 119 123 128 130 160 166 170\n",
      " 182 186 189 196 198 203 214 230 234 251]\n",
      "image # 5820, layer # layer3.4.relu has outliers [ 53  55  83  91 101 119 123 134 137 144 147 151 162 166 168 170 171 177\n",
      " 199 205 206 210 215 217 226]\n",
      "image # 5902, layer # layer3.4.relu has outliers [  2  14  18  19  47  51  54  62  63  73  82  83  88 111 130 134 137 144\n",
      " 148 168 179 181 188 209 217 223 245 251]\n",
      "image # 5988, layer # layer3.4.relu has outliers [ 11  15  16  17  18  19  22  53  54  57  62  88  95  96  97 100 130 132\n",
      " 134 139 160 166 188 198 214 215 223 232 245 251]\n",
      "image # 6046, layer # layer3.4.relu has outliers [ 14  22  47  51  57  61  62  63  74  79  83  88 117 119 128 130 134 147\n",
      " 160 166 182 198 213 215 247 251 254]\n",
      "image # 6114, layer # layer3.4.relu has outliers [ 10  14  15  25  31  47  51  52  83  87 101 107 118 119 122 128 132 147\n",
      " 159 166 198 203 205 208 214 215 230 237 238 253]\n",
      "image # 6237, layer # layer3.4.relu has outliers [  0  11  14  19  28  35  52  54  69  83  85  87  88  95 105 118 119 123\n",
      " 128 130 132 140 144 151 159 162 166 170 186 187 198 210 214 220 230 234\n",
      " 251]\n",
      "image # 6249, layer # layer3.4.relu has outliers [ 11  16  19  28  34  51  52  64  83 101 107 118 119 130 132 134 145 147\n",
      " 151 155 162 169 187 198 200 206 210 214 215 223 226 251]\n",
      "image # 6285, layer # layer3.4.relu has outliers [  0  11  14  15  16  19  62  64  67  71  85 118 119 123 128 132 134 142\n",
      " 145 148 151 152 162 171 179 183 186 188 198 200 206 210 214 215 221 223\n",
      " 230 234 236 239 243 251]\n",
      "image # 6346, layer # layer3.4.relu has outliers [  0  11  14  28  30  37  54  62  70  73  82  83  85  90 100 102 119 130\n",
      " 162 166 192 198 200 206 214 221 223 226 230 234 251]\n",
      "image # 6426, layer # layer3.4.relu has outliers [  2  15  18  19  22  47  51  62  63  70  82  83 111 118 126 134 144 148\n",
      " 161 162 166 170 174 179 188 198 205 206 214 223 230 244 251]\n",
      "image # 6436, layer # layer3.4.relu has outliers [ 14  15  17  18  28  33  57  63  73  82  83  88  94  95 104 130 132 139\n",
      " 166 169 188 198 199 217 221 223 244 251]\n",
      "image # 6499, layer # layer3.4.relu has outliers [  0  11  14  17  54  58  79  83  88 112 118 130 132 147 148 160 171 183\n",
      " 186 188 189 200 214 215 226 251]\n",
      "image # 6513, layer # layer3.4.relu has outliers [  9  16  18  19  55  62  83  88  96 112 118 130 139 147 161 170 171 174\n",
      " 177 179 188 205 207 215 217 224 244 249 251 254]\n",
      "image # 6614, layer # layer3.4.relu has outliers [  2   4  19  30  31  62  88  90  93 101 118 128 130 134 147 160 171 174\n",
      " 179 188 198 205 215 221 222 254]\n",
      "image # 6747, layer # layer3.4.relu has outliers [ 53  54  71  79  83  93 130 134 139 142 144 147 166 168 170 188 215 245\n",
      " 251]\n",
      "image # 6824, layer # layer3.4.relu has outliers [  0  18  19  23  24  54  55  81  87  91  93 112 119 130 134 145 160 168\n",
      " 170 171 177 182 187 205 215 217 221 223 237 244 251]\n",
      "image # 6908, layer # layer3.4.relu has outliers [ 19  22  47  53  54  83  90  95 119 123 130 132 142 144 160 161 162 166\n",
      " 170 179 188 196 198 214 215 251 254]\n",
      "image # 6931, layer # layer3.4.relu has outliers [  0  16  19  47  55  83  87  88  90 111 112 118 119 123 130 131 134 144\n",
      " 147 161 171 179 188 205 215 217 223 246 247 251]\n",
      "image # 6972, layer # layer3.4.relu has outliers [  4  10  14  19  28  29  47  54  57  71  83  85  87  88  91 100 112 119\n",
      " 123 126 128 132 134 135 136 140 147 148 150 159 166 177 179 192 198 201\n",
      " 214 215 221 234]\n",
      "image # 6974, layer # layer3.4.relu has outliers [ 11  16  30  58  71  85 118 128 130 139 147 170 171 179 188 214 215 224\n",
      " 226 251 254]\n",
      "image # 7114, layer # layer3.4.relu has outliers [ 11  16  17  18  19  30  34  62  63  79  82  83  85 118 128 130 139 142\n",
      " 144 147 159 166 168 170 171 179 182 189 195 213 214 215 221 223 232 238\n",
      " 247 251]\n",
      "image # 7232, layer # layer3.4.relu has outliers [  0  11  14  17  18  28  62  63  82  83  94 101 123 126 130 139 160 162\n",
      " 168 179 192 196 200 207 210 214 217 221 223 224 247 251]\n",
      "image # 7243, layer # layer3.4.relu has outliers [ 15  18  22  40  47  62  63  64  70  73  83 100 101 106 119 123 130 134\n",
      " 147 151 162 166 168 188 198 200 205 214 223 230 249 251 254]\n",
      "image # 7310, layer # layer3.4.relu has outliers [  0  11  17  19  30  51  54  62  76  82  83  85  90 101 118 119 123 128\n",
      " 130 134 147 162 170 183 187 188 192 198 200 205 207 208 214 217 221 224\n",
      " 226 230 234 245 254]\n",
      "image # 7357, layer # layer3.4.relu has outliers [ 15  16  47  55  79  88  90  91  95 101 123 126 134 142 144 145 162 166\n",
      " 167 170 171 177 179 198 205 215 221 230 251]\n",
      "image # 7370, layer # layer3.4.relu has outliers [  2  18  19  22  53  54  62  71  72  83  88  95 101 118 119 130 132 139\n",
      " 140 144 147 151 152 159 161 170 188 198 215 228 234 244]\n",
      "image # 7385, layer # layer3.4.relu has outliers [ 10  17  19  47  51  57  62  63  64  66  68  82  83  88  95 101 106 107\n",
      " 111 118 130 132 134 139 144 151 166 188 196 205 214 217 223 245 251]\n",
      "image # 7416, layer # layer3.4.relu has outliers [ 11  14  17  19  51  52  62  63  64  82  83  88  90  94 101 104 111 118\n",
      " 130 132 144 151 162 166 168 179 189 198 205 214 215 217 221 223 230 247]\n",
      "image # 7494, layer # layer3.4.relu has outliers [  2  14  16  19  47  58  62  64  82  83  88  95  97 111 118 119 123 128\n",
      " 130 134 137 139 147 162 166 170 181 188 198 205 206 207 210 214 226 244\n",
      " 251 254]\n",
      "image # 7504, layer # layer3.4.relu has outliers [  0   4  10  18  19  55  64  71  81  85  90  91 100 101 107 111 128 130\n",
      " 131 134 147 161 170 177 179 188 205 215 221 223 224]\n",
      "image # 7515, layer # layer3.4.relu has outliers [  0   7  11  16  19  28  53  58  62  63  64  69  74  83  85 102 118 130\n",
      " 132 135 136 142 147 148 171 179 196 198 199 200 214 223 226 251 252]\n",
      "image # 7659, layer # layer3.4.relu has outliers [  0  11  16  17  18  19  51  58  62  82  83  86 101 110 111 118 128 130\n",
      " 134 139 147 166 168 171 186 206 214 224]\n",
      "image # 7725, layer # layer3.4.relu has outliers [  5  11  17  18  29  30  51  62  63  66  82  83  85  90  97 111 118 128\n",
      " 130 132 135 139 147 166 183 189 215 221 224 232 245 247]\n",
      "image # 7781, layer # layer3.4.relu has outliers [  3  11  15  16  21  28  47  54  55  63  82  93 119 120 126 128 130 142\n",
      " 147 148 150 156 162 170 179 186 188 191 196 198 199 207 221]\n",
      "image # 7828, layer # layer3.4.relu has outliers [  4  11  14  28  47  54  55  61  62  83  87  88  95 100 102 119 132 144\n",
      " 146 147 161 166 198 214 215 247]\n",
      "image # 7915, layer # layer3.4.relu has outliers [ 11  16  17  18  32  54  62  66  79  82  83  95 119 123 130 132 134 144\n",
      " 162 166 168 170 196 198 206 214 230 244 251]\n",
      "image # 7933, layer # layer3.4.relu has outliers [  2   9  15  19  22  23  29  39  51  57  71  79  85 106 107 123 134 147\n",
      " 148 150 155 156 159 162 170 174 177 186 188 189 214 221 251 254]\n",
      "image # 7969, layer # layer3.4.relu has outliers [ 11  14  15  47  51  57  62  83  88  90  94  95 112 118 130 134 137 147\n",
      " 152 161 162 188 209 210 214 215 224 232 247 251]\n",
      "image # 8081, layer # layer3.4.relu has outliers [  0  10  53  57  63  68  82  83  88  95  96 111 112 118 119 128 130 132\n",
      " 139 140 147 151 166 170 183 188 198 210 215 223 224 247 251]\n",
      "image # 8135, layer # layer3.4.relu has outliers [  0  17  18  19  53  62  69  81  82  83  90  95 111 117 118 130 132 137\n",
      " 139 151 159 160 161 166 168 170 196 200 205 215 221 223 234 251]\n",
      "image # 8138, layer # layer3.4.relu has outliers [ 15  19  22  52  53  55  63  82  83  95 100 119 123 130 144 156 161 166\n",
      " 168 169 170 171 179 188 205 215 217 221 230 237 244 251]\n",
      "image # 8161, layer # layer3.4.relu has outliers [  2  10  18  52  54  57  63  64  71  82  83  97 100 101 118 123 128 130\n",
      " 132 139 147 148 159 160 166 170 188 198 200 205 207 214 215 221 234 254]\n",
      "image # 8174, layer # layer3.4.relu has outliers [  2   4  16  21  47  54  71  82  83  87  88  91  94 100 101 118 119 123\n",
      " 126 130 132 134 142 147 148 156 160 161 166 179 182 198 205 214 215 221\n",
      " 230 237]\n",
      "image # 8253, layer # layer3.4.relu has outliers [ 14  15  19  29  31  52  54  63  64  83  88  91  94 100 101 107 118 119\n",
      " 122 123 130 137 148 160 162 169 170 171 179 188 189 198 203 205 215 223\n",
      " 244 251]\n",
      "image # 8273, layer # layer3.4.relu has outliers [ 11  30  39  52  54  56  63  64  85  87  97 102 128 132 134 147 148 151\n",
      " 171 177 179 196 199 200 215 251]\n",
      "image # 8342, layer # layer3.4.relu has outliers [  2   4  19  31  47  51  54  62  68  71  82  83  90  91 111 112 118 134\n",
      " 147 161 184 188 215 228 251 254]\n",
      "image # 8353, layer # layer3.4.relu has outliers [ 47  62  82  83  95 101 118 119 132 144 146 148 151 160 161 166 188 205\n",
      " 206 214 215 221 223 245 247]\n",
      "image # 8358, layer # layer3.4.relu has outliers [  0  14  17  19  51  54  56  61  62  83  88 111 118 123 130 166 179 186\n",
      " 192 195 214 215 221 244 251]\n",
      "image # 8372, layer # layer3.4.relu has outliers [  2  24  33  47  54  62  70  88  97 101 120 123 130 137 144 166 171 179\n",
      " 182 188 198 200 205 209 215 217 221 245]\n",
      "image # 8535, layer # layer3.4.relu has outliers [  2   4  39  47  53  57  63  71  82  85  87  88  95  96 100 119 123 128\n",
      " 130 132 134 166 182 186 188 198 206 214 215 246 251]\n",
      "image # 8544, layer # layer3.4.relu has outliers [  9  11  19  22  47  51  81  83  91 130 137 140 147 148 161 166 174 181\n",
      " 189 198 205 207 214 215 221 224 234 244 251]\n",
      "image # 8612, layer # layer3.4.relu has outliers [  0  11  16  19  30  57  82  83 118 123 128 130 134 147 170 198 210 215\n",
      " 217 221 224 244]\n",
      "image # 8717, layer # layer3.4.relu has outliers [ 11  15  17  18  51  53  62  63  73  82  83  88  95 101 111 118 130 132\n",
      " 139 147 151 168 170 188 192 198 205 214 215 217 221 223 247 251]\n",
      "image # 8755, layer # layer3.4.relu has outliers [  2  16  18  47  51  54  57  83  88  90 101 118 120 130 147 160 166 170\n",
      " 198 207 215 216 221 234 251]\n",
      "image # 8800, layer # layer3.4.relu has outliers [ 30  31  52  63  64  71  73  83  87  88  90 118 119 132 147 151 162 166\n",
      " 169 183 188 198 200 210 214 215 226 230 238]\n",
      "image # 8909, layer # layer3.4.relu has outliers [ 16  22  29  30  47  51  63  64  81  82  83  87 101 111 118 132 134 144\n",
      " 147 148 166 170 171 181 215 221 224 246 249 251]\n",
      "image # 8923, layer # layer3.4.relu has outliers [ 11  14  15  17  54  81  82  83  90 101 118 128 130 132 139 147 166 168\n",
      " 170 198 214 215 217 230 237 251]\n",
      "image # 8930, layer # layer3.4.relu has outliers [ 11  12  17  62  69  82  83  90 101 118 123 130 132 139 144 160 166 168\n",
      " 170 205 214 215 221 223 224 244 251]\n",
      "image # 8933, layer # layer3.4.relu has outliers [ 12  47  62  82  83  92  95 101 106 118 119 130 132 134 144 147 148 188\n",
      " 206 214 223 230 251]\n",
      "image # 8996, layer # layer3.4.relu has outliers [  5  11  14  15  17  18  20  28  30  35  56  58  63  73  82  83  85  89\n",
      "  94 106 110 111 123 130 134 139 158 166 171 186 192 196 201 214 221 251]\n",
      "image # 9047, layer # layer3.4.relu has outliers [ 15  18  19  29  52  54  62  79  83  90  97 101 118 119 123 130 134 136\n",
      " 161 162 166 170 174 179 186 187 188 198 214 215 221 223 230 244 254]\n",
      "image # 9111, layer # layer3.4.relu has outliers [  2  11  19  71  82  83  87  90 107 118 128 130 132 134 147 151 160 161\n",
      " 182 188 196 198 208 214 215 244]\n",
      "image # 9208, layer # layer3.4.relu has outliers [ 11  18  30  51  53  55  67  71  83  93  97 128 130 139 147 162 170 177\n",
      " 188 198 205 206 210 215 221 224 245]\n",
      "image # 9320, layer # layer3.4.relu has outliers [  2  12  18  19  31  47  53  54  62  63  79  82  83  85  88  96 100 101\n",
      " 112 118 119 128 130 132 134 144 148 156 179 182 188 198 214 215 223 230\n",
      " 251]\n",
      "image # 9333, layer # layer3.4.relu has outliers [  0   7  11  16  19  30  39  51  63  64  66  83  85  92  96  97 102 118\n",
      " 119 130 147 168 170 171 188 189 190 192 198 214 221 224 254]\n",
      "image # 9585, layer # layer3.4.relu has outliers [  0  14  17  28  62  66  82  83  85  90 106 107 110 111 115 118 123 130\n",
      " 134 139 145 162 166 168 170 171 186 188 192 195 199 205 206 214 223 226\n",
      " 234 244 247 251]\n",
      "image # 9597, layer # layer3.4.relu has outliers [  0  11  14  16  18  19  52  53  57  62  63  81  83  95 118 130 132 139\n",
      " 147 161 166 198 214 215 217 221 223]\n",
      "image # 9598, layer # layer3.4.relu has outliers [  4  18  19  55  62  63  82  83  91 101 107 120 123 130 131 134 145 147\n",
      " 162 177 182 188 190 198 205 210 215 221 223 230 251]\n",
      "image # 9611, layer # layer3.4.relu has outliers [ 15  16  53  54  83  88  93  95 100 112 119 123 128 130 134 140 144 161\n",
      " 166 170 171 174 177 179 181 188 198 206 215 221 251]\n",
      "image # 9655, layer # layer3.4.relu has outliers [  1  15  19  23  72  83 100 109 132 134 147 148 160 161 166 170 188 198\n",
      " 205 214 215 216 221 224 235]\n",
      "image # 9716, layer # layer3.4.relu has outliers [  0  11  14  17  52  54  63  72  82  83  91  94 119 132 134 151 152 160\n",
      " 166 168 174 179 198 207 214 215 221 223 230 234 251]\n",
      "image # 9807, layer # layer3.4.relu has outliers [ 11  17  19  28  29  30  47  51  54  55  63  64  83  97 124 128 130 134\n",
      " 144 147 159 168 171 177 190 215 221 224 251]\n",
      "image # 9854, layer # layer3.4.relu has outliers [ 11  28  30  52  64  66  67  71  83  88  97 111 115 118 128 130 132 135\n",
      " 142 147 148 161 162 171 177 179 189 198 199 214 215 221 251]\n",
      "image # 9870, layer # layer3.4.relu has outliers [ 15  18  19  22  51  54  57  62  71  74  82  83  90  95  97 101 117 118\n",
      " 130 144 151 160 161 162 166 170 188 200 215 221 244 249 251]\n",
      "image # 9914, layer # layer3.4.relu has outliers [  2  16  19  22  39  53  54  71  79  83  95  97 107 118 130 132 137 140\n",
      " 147 161 166 182 188 198 205 215 221 223 251]\n",
      "image # 9937, layer # layer3.4.relu has outliers [ 23  47  53  54  57  62  71  83  88 118 130 139 147 161 171 179 188 198\n",
      " 206 214 224 245 251 254]\n",
      "image # 10055, layer # layer3.4.relu has outliers [  2  19  22  31  54  71  83  88  95 107 118 119 128 130 132 134 144 147\n",
      " 161 182 188 192 198 205 214 215 221 230 234 251]\n",
      "image # 10087, layer # layer3.4.relu has outliers [ 23  47  52  54  64  66  83  91  95 100 111 118 119 130 134 139 144 147\n",
      " 161 162 166 168 169 170 188 196 198 210 214 215 221 224 226 244 251 254]\n",
      "image # 10129, layer # layer3.4.relu has outliers [ 15  24  31  53  57  62  83 119 128 130 134 147 160 161 170 188 198 214\n",
      " 215 221 230 244]\n",
      "image # 10156, layer # layer3.4.relu has outliers [  4  19  47  53  57  82  83  87  95 106 119 123 132 144 162 166 186 193\n",
      " 196 198 199 205 207 209 214 215 226 234 240 251 254]\n",
      "image # 10193, layer # layer3.4.relu has outliers [  0   7  18  19  29  54  55  63  71  72  83  92 111 120 128 140 147 168\n",
      " 174 177 182 188 211 215 221 224 245 246 249 251]\n",
      "image # 10209, layer # layer3.4.relu has outliers [  7  11  14  17  28  33  56  63  67  83  85  97 106 123 130 132 134 139\n",
      " 147 151 159 166 170 171 186 214 215 247]\n",
      "image # 10225, layer # layer3.4.relu has outliers [ 11  17  18  51  62  90  97 101 117 118 123 130 132 139 147 160 168 171\n",
      " 195 200 205 207 210 215 221 224 234 244 246 251]\n",
      "image # 10251, layer # layer3.4.relu has outliers [  2   9  15  31  33  51  57  63  64  71  73  82  83  88  92 101 117 119\n",
      " 123 132 134 142 147 151 159 166 186 203 205 214 215 216 221 234]\n",
      "image # 10259, layer # layer3.4.relu has outliers [  7  11  15  16  18  37  47  53  63  64  66  83  85 101 111 118 119 130\n",
      " 134 147 155 156 162 166 168 188 198 210 214 223 251]\n",
      "image # 10263, layer # layer3.4.relu has outliers [ 14  16  17  19  28  30  51  56  62  63  64  66  82  83  85 111 115 118\n",
      " 123 130 134 135 139 147 170 177 188 196 198 199 214 217 226 245 246 251]\n",
      "image # 10269, layer # layer3.4.relu has outliers [  4  11  15  44  52  54  62  82  83  87 118 123 130 160 162 166 168 170\n",
      " 174 182 186 200 205 206 207 215 221 224]\n",
      "image # 10273, layer # layer3.4.relu has outliers [  2  16  18  32  39  47  51  53  62  63  66  82  83 106 107 111 130 134\n",
      " 147 162 166 170 177 188 196 198 199 209 214 221]\n",
      "image # 10297, layer # layer3.4.relu has outliers [  0   9  19  22  54  62  83  85  87  95 115 130 131 136 160 166 168 181\n",
      " 182 183 187 188 191 214 215 221 251]\n",
      "image # 10343, layer # layer3.4.relu has outliers [ 16  19  22  24  28  54  55  62  66  82  83  87  88  95 111 118 119 130\n",
      " 134 139 144 147 188 198 215 223 251 253]\n",
      "image # 10377, layer # layer3.4.relu has outliers [  2   4  18  19  52  54  62  63  64  81  83  88 101 107 123 134 137 168\n",
      " 174 179 187 188 196 198 205 214 218 221 234 236 244 245 251]\n",
      "image # 10385, layer # layer3.4.relu has outliers [  1   2   4   9  10  18  22  28  29  39  47  54  55  85  93 101 111 119\n",
      " 123 144 147 166 170 171 177 179 198 215 217 221 230 234 237 246 249 251\n",
      " 253 254]\n",
      "image # 10398, layer # layer3.4.relu has outliers [ 11  34  51  64  83  88 100 118 119 128 130 137 142 145 147 161 162 168\n",
      " 171 179 186 195 198 200 210 214 223 236 246 251]\n",
      "image # 10418, layer # layer3.4.relu has outliers [  2  15  16  22  24  31  47  54  71  83  88  95  97 119 127 130 134 144\n",
      " 152 166 182 198 214 215 221 223 251]\n",
      "image # 10513, layer # layer3.4.relu has outliers [ 11  16  30  64  71  83  93 130 139 140 147 148 170 188 199 215]\n",
      "image # 10524, layer # layer3.4.relu has outliers [  0  10  11  16  39  52  54  63  64  83  88 106 111 118 120 130 134 147\n",
      " 148 151 162 170 183 188 191 196 205 214 215 221 251]\n",
      "image # 10705, layer # layer3.4.relu has outliers [ 14  16  22  33  47  51  63  79  83  88  95 101 112 118 119 130 132 134\n",
      " 137 144 147 148 151 161 162 166 170 171 179 198 205 214 215 217 223 230\n",
      " 244 251]\n",
      "image # 10817, layer # layer3.4.relu has outliers [  0  11  17  18  19  30  57  63  71  83  97 118 126 130 132 137 139 142\n",
      " 162 168 170 183 186 188 198 200 206 214 224 226 245]\n",
      "image # 10818, layer # layer3.4.relu has outliers [  0   2  11  16  19  51  62  66  75  83  94 111 118 119 130 134 147 161\n",
      " 168 170 177 179 181 188 198 203 208 214 215 223 230]\n",
      "image # 10821, layer # layer3.4.relu has outliers [  2  10  14  15  18  52  56  61  62  64  71  73  83  85  88 118 119 130\n",
      " 131 132 134 139 179 186 187 196 198 200 205 214 215 217 221 223 226 234\n",
      " 244 251]\n",
      "image # 10866, layer # layer3.4.relu has outliers [ 16  19  52  53  54  63  71  83 100 108 118 134 136 147 148 170 171 174\n",
      " 179 186 188 198 214 215 251 254]\n",
      "image # 10946, layer # layer3.4.relu has outliers [  7  10  11  18  28  39  63  64  67  83  85  95 118 119 123 128 130 132\n",
      " 139 147 151 162 166 176 186 187 188 195 198 210 214 215 220 221 234 239\n",
      " 243 251]\n",
      "layer layer3.5.relu\n",
      "image # 130, layer # layer3.5.relu has outliers [  0  15  18  32  39  54  71  83  87  95  97 105 118 127 128 130 131 134\n",
      " 140 147 166 182 198 216 251]\n",
      "image # 135, layer # layer3.5.relu has outliers [ 15  19  22  40  63  66  73  83  91 100 101 128 130 134 142 147 160 165\n",
      " 170 174 198 220 251]\n",
      "image # 250, layer # layer3.5.relu has outliers [  0   4  19  22  47  52  66  71  81  83 101 119 123 127 134 142 145 159\n",
      " 162 166 168 169 177 188 198 203 206 215 236 238 243]\n",
      "image # 383, layer # layer3.5.relu has outliers [  4  16  18  19  22  32  73  83  90 118 130 134 147 160 162 166 188 198\n",
      " 200 206 215 218 221 234 245 254]\n",
      "image # 399, layer # layer3.5.relu has outliers [  0   4  18  22  31  32  83  90  95  97 101 105 130 131 134 147 160 162\n",
      " 166 167 174 188 198 206 210 215 217 223 224 232 246 250 251 253]\n",
      "image # 519, layer # layer3.5.relu has outliers [  3  11  16  19  22  53  54  83  87  97 101 110 147 160 162 166 169 188\n",
      " 198 200 204 206 207 215 217 220 237 238 240 243]\n",
      "image # 540, layer # layer3.5.relu has outliers [ 10  14  17  18  28  32  58  62  63  83 101 118 120 127 130 139 145 162\n",
      " 165 171 179 183 193 196 198 200 206 214 215 217 218 224 236 245]\n",
      "image # 551, layer # layer3.5.relu has outliers [  4  11  16  19  22  32  53  54  83  87  88  90  94  97 101 115 118 128\n",
      " 130 134 147 166 183 188 196 198 200 206 207 216 246 251]\n",
      "image # 579, layer # layer3.5.relu has outliers [  1  19  29  51  54  57  81  82  83  85  87 101 109 117 121 123 130 134\n",
      " 147 151 162 166 170 179 182 186 195 200 221 245]\n",
      "image # 739, layer # layer3.5.relu has outliers [  0  12  16  18  19  52  80  83 101 104 142 147 151 166 174 188 198 200\n",
      " 206 214 215 220 232 245]\n",
      "image # 751, layer # layer3.5.relu has outliers [ 10  14  17  18  32  57  63  83 101 127 128 130 134 145 147 151 162 165\n",
      " 188 196 198 207 214 217 244 245]\n",
      "image # 818, layer # layer3.5.relu has outliers [ 23  47  52  63  71  83  90  95 101 104 111 118 130 134 137 139 145 147\n",
      " 151 166 170 188 196 198 215 220 221 236 251 254]\n",
      "image # 821, layer # layer3.5.relu has outliers [  0  11  16  19  22  30  54  71  83 118 130 134 147 159 160 166 170 171\n",
      " 188 198 215 216 217 245 249 250 251 252]\n",
      "image # 878, layer # layer3.5.relu has outliers [ 16  19  22  53  54  71  83  87  94 101 105 108 111 123 127 130 134 147\n",
      " 160 166 171 179 182 188 198 210 215 217 234 245 253]\n",
      "image # 907, layer # layer3.5.relu has outliers [  0   4  16  19  22  23  32  39  83  87  90 101 118 123 127 128 130 131\n",
      " 134 145 147 162 174 179 182 196 206 215 216 217]\n",
      "image # 1042, layer # layer3.5.relu has outliers [ 11  16  31  52  58  71  83 104 118 119 123 134 137 145 151 160 162 186\n",
      " 188 198 221 234]\n",
      "image # 1134, layer # layer3.5.relu has outliers [  0  18  19  22  24  32  52  53  79  83  87  90  95 101 105 127 130 134\n",
      " 140 144 145 147 160 161 166 182 196 198 215 216 217 221 244 251 254]\n",
      "image # 1195, layer # layer3.5.relu has outliers [  0  18  19  21  22  32  53  57  62  76  83  85 101 108 111 118 119 128\n",
      " 130 132 134 136 137 142 145 147 160 162 165 166 183 184 186 188 198 199\n",
      " 200 220 234 245 247 254]\n",
      "image # 1207, layer # layer3.5.relu has outliers [  4  14  15  17  18  22  29  31  32  37  52  54  61  63  64  83  85  88\n",
      "  89  90 100 104 118 127 128 130 134 159 162 198 207 215 216 221 224 234\n",
      " 236]\n",
      "image # 1250, layer # layer3.5.relu has outliers [  0  10  14  21  25  29  32  51  52  81  82  83  87  88  90 101 105 111\n",
      " 118 127 128 132 134 137 142 147 162 173 179 193 198 201 245 251]\n",
      "image # 1285, layer # layer3.5.relu has outliers [  0   6  19  22  23  29  31  53  54  80  83  85  87  90 101 105 115 128\n",
      " 130 134 140 145 162 166 170 174 188 198 207 215 216 217 221 232 246 251\n",
      " 253 254]\n",
      "image # 1296, layer # layer3.5.relu has outliers [  4  11  14  15  18  19  39  44  63  73  77  81  83  97 109 111 118 123\n",
      " 128 130 132 134 139 147 160 166 183 207 208 217 221 234 236 237 245 253]\n",
      "image # 1382, layer # layer3.5.relu has outliers [  7  10  11  18  19  22  32  39  52  53  66  71  81  83  90  97 115 118\n",
      " 119 123 130 160 182 195 198 215 216 217 222 223 232 245]\n",
      "image # 1392, layer # layer3.5.relu has outliers [  0   4  14  22  32  54  83  90 101 104 110 115 130 134 151 159 162 174\n",
      " 179 195 196 198 207 215 217 223]\n",
      "image # 1451, layer # layer3.5.relu has outliers [ 11  16  18  22  53  58  85  95 118 130 151 165 170 171 183 200 206 214\n",
      " 243 251]\n",
      "image # 1457, layer # layer3.5.relu has outliers [  0  14  16  22  53  54  70  83  85  90  91 103 105 118 119 126 130 134\n",
      " 137 145 160 162 166 168 170 174 179 188 195 198 201 206 215]\n",
      "image # 1520, layer # layer3.5.relu has outliers [  0  16  19  22  24  51  52  57  71  76  81  83  87  89  90  91 101 104\n",
      " 118 119 123 130 134 147 153 159 160 166 170 174 188 189 198 203 215 221\n",
      " 245 253]\n",
      "image # 1545, layer # layer3.5.relu has outliers [ 18  19  22  53  57  76  83  90  95  97 118 130 134 139 166 187 188 196\n",
      " 200 207 215 216 232 244 245 250 251]\n",
      "image # 1724, layer # layer3.5.relu has outliers [  4   9  11  18  32  47  54  83  95 101 118 127 130 134 145 147 177 182\n",
      " 191 196 198 207 210 216 217 224 234 253]\n",
      "image # 1777, layer # layer3.5.relu has outliers [  0  15  16  19  21  32  62  81  82  83  85  87  94 100 105 128 132 134\n",
      " 137 147 162 179 193 198 200 207 217 220 236 245]\n",
      "image # 1846, layer # layer3.5.relu has outliers [  0  11  14  17  19  22  32  37  46  53  63  73  81  83  85  91 104 109\n",
      " 118 119 122 123 127 130 145 153 160 166 176 179 195 198 200 201 220 221\n",
      " 223 234]\n",
      "image # 1864, layer # layer3.5.relu has outliers [ 10  11  12  17  18  22  47  57  61  83  86 101 104 105 111 118 130 132\n",
      " 134 139 147 151 162 195 196 204 207 215 217 232 245 247 251]\n",
      "image # 1912, layer # layer3.5.relu has outliers [  1   4  11  14  17  29  32  47  55  57  82  83  90 105 124 127 130 132\n",
      " 134 162 168 179 198 201 204 215 216 223 234 236 244 245 246 247 251]\n",
      "image # 1969, layer # layer3.5.relu has outliers [  4  19  20  32  53  57  62  71  83 101 105 106 118 121 123 130 134 136\n",
      " 137 162 166 174 187 188 198 200 206 210 217 223 232 251 254]\n",
      "image # 1970, layer # layer3.5.relu has outliers [ 10  11  14  15  18  22  32  39  52  63  73  82  83  85 105 118 122 128\n",
      " 130 134 159 162 166 174 196 198 215 220 236 237 251 253 254]\n",
      "image # 2006, layer # layer3.5.relu has outliers [  0  11  22  52  57  59  63  82  83  90 101 118 130 132 134 152 159 160\n",
      " 166 170 174 179 188 196 200 205 207 215 220 221 234 236 244 245 254]\n",
      "image # 2025, layer # layer3.5.relu has outliers [  0  14  15  16  19  47  52  53  54  81  83  87  88  90  92 101 105 118\n",
      " 128 130 134 139 147 151 162 166 188 198 207 210 215 216 217 251 253]\n",
      "image # 2117, layer # layer3.5.relu has outliers [ 11  15  22  47  52  53  57  77  83  85 101 118 128 130 132 134 147 160\n",
      " 162 166 169 175 183 188 189 198 200 203 204 206 210 215 217 239 243 247\n",
      " 251]\n",
      "image # 2269, layer # layer3.5.relu has outliers [  0  11  19  22  23  53  62  63  83 101 105 118 130 131 132 134 139 142\n",
      " 169 170 171 179 183 188 196 200 215 220 221 245 247 253 254]\n",
      "image # 2421, layer # layer3.5.relu has outliers [ 11  12  16  17  19  22  53  57  63  79  83  90  95 101 111 130 134 142\n",
      " 162 166 169 179 188 196 200 206 207 215 216 221 223 232 245 251]\n",
      "image # 2524, layer # layer3.5.relu has outliers [ 11  17  32  53  63  83 101 109 117 118 130 134 147 151 170 198 207 214\n",
      " 223 224 232 243 251]\n",
      "image # 2530, layer # layer3.5.relu has outliers [  4  16  19  22  47  52  53  74  83  87  92  97 101 119 130 134 145 151\n",
      " 160 165 170 179 182 188 198 200 221 223 234 245 251 253]\n",
      "image # 2565, layer # layer3.5.relu has outliers [  9  19  22  29  54  70  83  85  91  94  97 101 119 123 134 142 145 160\n",
      " 166 169 174 179 198 201 206 223 225 234 237 247 251]\n",
      "image # 2635, layer # layer3.5.relu has outliers [  0  19  22  30  53  54  83  87  90 101 104 123 130 144 160 166 171 179\n",
      " 215 217 221 244]\n",
      "image # 2638, layer # layer3.5.relu has outliers [  0  18  19  22  37  51  54  62  82  83  88 101 104 111 118 130 134 140\n",
      " 145 147 162 166 168 170 179 188 198 215 224 245 251 253]\n",
      "image # 2727, layer # layer3.5.relu has outliers [  0   4  18  22  23  51  54  63  83  90  95  97 100 101 105 118 130 132\n",
      " 134 147 159 166 170 174 198 206 215 221 223 224 232 245]\n",
      "image # 2817, layer # layer3.5.relu has outliers [  4  16  19  23  32  51  63  71  83  91 128 130 134 142 147 182 188 198\n",
      " 206 214 224 229 245 253]\n",
      "image # 2937, layer # layer3.5.relu has outliers [ 16  17  19  22  55  63  83  87  90  94 101 118 119 123 124 127 130 134\n",
      " 144 151 160 166 168 169 171 177 178 179 195 198 200 215 217 223 247 254]\n",
      "image # 2942, layer # layer3.5.relu has outliers [ 15  16  19  29  39  53  55  71  83  87 100 120 123 128 131 134 147 160\n",
      " 166 171 177 179 182 188 191 198 206 207 215 217 218 224 237 245 251 253]\n",
      "image # 2962, layer # layer3.5.relu has outliers [ 11  22  32  51  53  54  62  63  83  87  88  90 101 105 118 123 130 134\n",
      " 152 166 187 189 198 200 208 214 215 216 220 245]\n",
      "image # 3065, layer # layer3.5.relu has outliers [ 11  14  15  17  18  58  63  64  66  73  79  83 105 118 128 130 134 135\n",
      " 147 162 198 200 215 220 221 253]\n",
      "image # 3147, layer # layer3.5.relu has outliers [ 10  11  14  15  18  31  63  73  82  83  85  89  90 101 104 105 118 130\n",
      " 134 151 159 162 166 169 179 196 198 200 215 221 223 236 244 251 253 254]\n",
      "image # 3287, layer # layer3.5.relu has outliers [  0   4   8  15  16  18  22  53  54  63  73  83  87  90  95 101 105 130\n",
      " 134 145 147 160 166 182 196 198 206 210 215 216 217 245 251 253]\n",
      "image # 3395, layer # layer3.5.relu has outliers [ 11  14  17  22  24  82  83  90  94 104 106 115 118 123 130 134 139 159\n",
      " 166 169 179 196 198 201 215 217 221 251]\n",
      "image # 3643, layer # layer3.5.relu has outliers [  4  11  14  17  18  22  24  32  51  63  73  82  83  90  94 109 130 134\n",
      " 145 162 176 183 196 198 200 207 209 210 215 216 218 224 234 236 245]\n",
      "image # 3811, layer # layer3.5.relu has outliers [ 11  17  18  22  23  32  53  71  83 118 123 128 130 132 134 139 140 151\n",
      " 160 165 166 188 198 200 214 216 220 229 245 251 254]\n",
      "image # 3846, layer # layer3.5.relu has outliers [  0  17  19  22  52  53  62  63  83  90  95  96 104 106 115 118 130 134\n",
      " 137 148 160 170 186 188 189 196 198 200 206 207 215 220 245 251]\n",
      "image # 3930, layer # layer3.5.relu has outliers [ 16  22  31  39  52  53  54  70  71  83 100 130 134 147 160 166 168 171\n",
      " 177 179 198 207 210 215 251 254]\n",
      "image # 3953, layer # layer3.5.relu has outliers [ 16  19  32  47  83  95 101 105 106 123 127 128 130 134 145 147 160 162\n",
      " 166 200 207 210 214 215 218 220 221 223 243 245 247]\n",
      "image # 4002, layer # layer3.5.relu has outliers [ 15  19  22  32  51  71  83  97 101 105 126 127 128 130 134 139 147 159\n",
      " 160 162 166 169 174 175 179 188 195 198 214 215 243 244 249 250 254]\n",
      "image # 4014, layer # layer3.5.relu has outliers [  3  11  13  15  16  19  23  39  63  73  86 101 118 120 122 123 124 128\n",
      " 130 131 134 143 145 147 162 188 191 198 206 237 248 253]\n",
      "image # 4064, layer # layer3.5.relu has outliers [  4  11  16  17  19  53  54  68  81  83  90  96  97 100 123 130 137 150\n",
      " 162 166 170 174 183 187 196 199 200 206 207 234 251]\n",
      "image # 4078, layer # layer3.5.relu has outliers [  0  11  12  14  18  19  22  31  51  53  74  82  83  88  90 101 105 118\n",
      " 130 132 134 137 139 145 147 151 162 166 188 196 198 200 203 215 216 220\n",
      " 245]\n",
      "image # 4100, layer # layer3.5.relu has outliers [  0   4  11  18  19  22  32  63  64  83  90  97 101 105 117 123 130 134\n",
      " 140 147 148 151 162 165 187 188 196 198 199 200 207 215 216 217 234 244\n",
      " 245 250 251 253]\n",
      "image # 4115, layer # layer3.5.relu has outliers [  7  11  16  18  22  39  63  83  85 118 128 130 134 147 150 151 170 183\n",
      " 188 198 200 207 215 218 220 224]\n",
      "image # 4256, layer # layer3.5.relu has outliers [  4  11  16  52  83  87  91 119 127 128 130 134 136 142 145 147 155 162\n",
      " 179 183 198 207 214 215 217 218 225 240 254]\n",
      "image # 4317, layer # layer3.5.relu has outliers [ 11  12  16  19  22  52  62  66  71  79  83  97 118 130 134 139 147 151\n",
      " 188 196 223 232 245 251]\n",
      "image # 4342, layer # layer3.5.relu has outliers [  4  10  12  14  17  18  22  37  52  53  63  73  83  85 101 115 118 128\n",
      " 130 134 162 165 186 195 198 199 215 216 247 251]\n",
      "image # 4374, layer # layer3.5.relu has outliers [  0  15  18  22  53  63  64  82  83  87  90 101 105 115 118 128 130 132\n",
      " 134 139 147 166 170 174 182 196 206 210 215 216 217 221 251]\n",
      "image # 4388, layer # layer3.5.relu has outliers [ 16  17  22  32  51  52  53  63  68  79  83  90 101 117 118 130 134 139\n",
      " 140 147 151 165 166 170 188 198 200 206 215 216 232 245 251]\n",
      "image # 4392, layer # layer3.5.relu has outliers [  4  11  18  22  32  47  53  70  82  83  85 101 106 118 130 132 147 162\n",
      " 165 166 170 174 186 195 196 206 215 220 223 234 236 245 251]\n",
      "image # 4452, layer # layer3.5.relu has outliers [  0  11  15  16  18  19  22  39  54  57  63  71  83  85 104 105 130 147\n",
      " 160 162 165 188 198 206 207 215 217 244 246 251 253]\n",
      "image # 4484, layer # layer3.5.relu has outliers [ 16  32  71  83  87  93 105 128 134 147 174 179 182 188 198 251]\n",
      "image # 4509, layer # layer3.5.relu has outliers [  0  11  17  22  23  32  63  66  79  83 101 105 115 118 130 134 139 142\n",
      " 147 151 162 165 170 173 188 196 198 200 206 222 223 245 251]\n",
      "image # 4564, layer # layer3.5.relu has outliers [ 14  17  22  24  25  37  53  66  79  82  83  90  97 101 106 118 119 123\n",
      " 126 130 134 137 145 160 166 195 198 223 234 251]\n",
      "image # 4804, layer # layer3.5.relu has outliers [ 12  15  16  19  22  51  55  62  66  83  85 101 104 105 128 130 131 134\n",
      " 145 147 151 159 170 171 177 179 188 189 190 207 215 223 251]\n",
      "image # 4833, layer # layer3.5.relu has outliers [  0   4  10  11  18  19  22  32  51  85  90  97 101 109 117 127 130 134\n",
      " 142 152 166 169 174 198 206 216 221 224 234 235 237]\n",
      "image # 4896, layer # layer3.5.relu has outliers [  0  12  19  22  31  52  71  74  83  87  90  95 101 105 119 130 132 134\n",
      " 140 147 159 166 188 196 200 215 216 217 223 251 254]\n",
      "image # 4933, layer # layer3.5.relu has outliers [ 18  33  53  83 101 123 130 134 152 162 171 174 175 179 188 198 200 201\n",
      " 206 210 215 217 245]\n",
      "image # 5018, layer # layer3.5.relu has outliers [ 11  15  17  18  63  73  79  81  83  85  97 101 119 123 128 132 134 145\n",
      " 151 152 160 162 200 206 207 214 220 221 234 236 254]\n",
      "image # 5049, layer # layer3.5.relu has outliers [  0  22  32  53  54  79  83  87  90 101 105 118 130 140 145 148 160 165\n",
      " 166 174 198 206 215 216 217 220 244 251]\n",
      "image # 5193, layer # layer3.5.relu has outliers [ 12  17  18  22  51  52  57  62  64  66  71  73  80  83 109 111 118 130\n",
      " 142 147 151 166 168 188 189 200 204 215 221 232 244]\n",
      "image # 5244, layer # layer3.5.relu has outliers [ 14  17  19  23  47  53  72  73  83  90 115 127 130 132 134 147 159 162\n",
      " 166 196 198 206 214 215 221 223 224 251 254]\n",
      "image # 5434, layer # layer3.5.relu has outliers [  0   9  16  22  23  30  31  53  71  83  96 101 104 130 147 160 166 174\n",
      " 188 196 206 215 249 251]\n",
      "image # 5518, layer # layer3.5.relu has outliers [ 11  22  39  83 118 130 134 147 160 170 183 198 200 206 221 224]\n",
      "image # 5533, layer # layer3.5.relu has outliers [ 12  14  15  16  22  52  53  54  63  73  83  85  87  90 104 105 118 128\n",
      " 130 131 147 152 166 187 215 237 245 251 253]\n",
      "image # 5576, layer # layer3.5.relu has outliers [ 14  17  23  31  47  82  83  87 101 104 115 130 134 140 145 147 151 162\n",
      " 170 173 179 196 207 215 216 223 244 245 251 254]\n",
      "image # 5611, layer # layer3.5.relu has outliers [ 11  14  17  18  19  22  31  52  63  73  74  83  90 101 105 107 117 130\n",
      " 134 147 151 153 160 162 166 188 198 217 220 245]\n",
      "image # 5633, layer # layer3.5.relu has outliers [  4   7  11  19  23  51  57  62  63  83  90 104 105 111 115 118 130 134\n",
      " 137 139 145 147 151 162 168 196 204 206 207 209 215 224 232 236 245 251\n",
      " 253]\n",
      "image # 5727, layer # layer3.5.relu has outliers [ 12  16  22  51  57  82  83 104 118 130 134 139 144 147 155 166 168 171\n",
      " 179 196 207 215 223 225 234 251]\n",
      "image # 5805, layer # layer3.5.relu has outliers [ 16  22  23  57  71  82  85  97 104 105 119 123 128 130 134 160 165 166\n",
      " 170 182 196 198 206 215 218 234 245]\n",
      "image # 5820, layer # layer3.5.relu has outliers [  0  16  22  53  55  57  83 101 119 123 130 134 137 162 165 166 170 173\n",
      " 196 200 206 207 210 215 245]\n",
      "image # 5902, layer # layer3.5.relu has outliers [  0  14  18  19  22  47  57  63  71  73  79  81  83 104 111 130 132 134\n",
      " 137 147 148 151 162 179 188 210 215 217 223 245 250 251]\n",
      "image # 5988, layer # layer3.5.relu has outliers [  4  11  15  16  17  18  19  22  31  53  54  57  66  68  71  95  96  97\n",
      " 100 101 104 106 130 132 134 139 160 162 166 181 188 198 223 232 245 251]\n",
      "image # 6046, layer # layer3.5.relu has outliers [ 14  16  22  51  57  61  63  74  79  83  89  97 101 117 128 130 134 137\n",
      " 147 160 166 196 198 210 215 216 217 247 251 254]\n",
      "image # 6114, layer # layer3.5.relu has outliers [  0  10  14  22  25  82  83 101 118 127 128 132 147 159 166 174 198 201\n",
      " 203 215 237 245 253]\n",
      "image # 6237, layer # layer3.5.relu has outliers [  0  11  14  17  19  22  37  52  54  83  85  87 105 118 119 128 130 134\n",
      " 140 159 160 162 166 170 174 187 198 210 220 234 251]\n",
      "image # 6249, layer # layer3.5.relu has outliers [ 11  16  18  19  22  52  64  83 101 107 118 130 134 145 151 155 160 162\n",
      " 170 174 187 188 198 200 206 210 214 220 223 245 246 251]\n",
      "image # 6285, layer # layer3.5.relu has outliers [  0  11  15  17  19  64  81  82  85  87  94 118 119 123 127 128 130 134\n",
      " 140 142 145 152 162 164 171 179 183 188 198 206 210 215 218 220 221 223\n",
      " 234 236 243]\n",
      "image # 6346, layer # layer3.5.relu has outliers [ 12  14  22  28  30  37  53  54  70  83  85  95  97 101 104 119 128 130\n",
      " 145 165 166 188 195 198 199 206 215 217 220 221 223 243]\n",
      "image # 6426, layer # layer3.5.relu has outliers [ 17  18  19  22  51  52  63  81  83 101 104 105 134 148 162 166 170 173\n",
      " 179 188 198 206 216 217 223 245]\n",
      "image # 6436, layer # layer3.5.relu has outliers [  0   4  14  15  17  18  22  31  33  53  57  73  81  82  83  94 101 104\n",
      " 105 130 132 134 139 162 166 169 174 179 188 198 199 207 215 217 221 223\n",
      " 245 251]\n",
      "image # 6499, layer # layer3.5.relu has outliers [  0  11  12  14  16  17  19  22  52  57  76  79  80  83  88  90 104 115\n",
      " 118 130 147 160 170 186 188 198 215 216 220 245]\n",
      "image # 6513, layer # layer3.5.relu has outliers [ 12  16  18  19  22  23  44  55  83  90  96 101 104 106 118 130 134 147\n",
      " 151 170 171 177 179 188 206 207 217 224 232 245 249 251 254]\n",
      "image # 6614, layer # layer3.5.relu has outliers [  0   4  16  19  22  30  31  53  83  90  93 101 105 130 134 145 147 160\n",
      " 166 171 179 182 195 196 198 206 215 221 222 245]\n",
      "image # 6747, layer # layer3.5.relu has outliers [ 11  16  32  53  71  79  81  83 117 130 134 139 144 147 165 166 182 188\n",
      " 189 198 206 216 217 245]\n",
      "image # 6824, layer # layer3.5.relu has outliers [  0  16  18  19  22  23  32  39  53  54  83  87 104 127 130 134 145 166\n",
      " 168 170 177 182 187 215 217 221 234 237 253]\n",
      "image # 6908, layer # layer3.5.relu has outliers [  0  19  22  53  54  82  83  95 104 119 130 132 134 142 159 160 162 166\n",
      " 179 188 196 198 200 214 215 245 254]\n",
      "image # 6931, layer # layer3.5.relu has outliers [  0   4  16  18  19  22  29  47  83  95 111 115 118 123 130 131 134 145\n",
      " 147 171 188 196 206 207 215 216 217 246]\n",
      "image # 6972, layer # layer3.5.relu has outliers [  0  14  19  22  29  54  56  57  83  87  90 100 126 128 134 136 140 147\n",
      " 148 153 159 162 174 179 198 201 206 215 220 221 224 236 245]\n",
      "image # 6974, layer # layer3.5.relu has outliers [ 16  58  80  81 104 118 130 171 179 188 215 220 229 232]\n",
      "image # 7114, layer # layer3.5.relu has outliers [  0  11  16  17  18  19  22  31  52  53  62  63  66  79  83  85  90  94\n",
      " 105 128 130 139 142 147 160 166 170 171 175 179 182 188 195 217 221 223\n",
      " 232 244 245 247 251]\n",
      "image # 7232, layer # layer3.5.relu has outliers [ 11  14  17  18  20  28  82  83  94 106 123 130 134 139 160 162 179 188\n",
      " 196 200 204 207 210 217 221 223 245 247 251]\n",
      "image # 7243, layer # layer3.5.relu has outliers [ 18  22  32  37  47  67  73  83  96 100 101 105 128 130 132 134 147 162\n",
      " 166 170 187 188 198 200 214 223 243 249 251 254]\n",
      "image # 7310, layer # layer3.5.relu has outliers [  0   4  11  16  17  19  22  52  53  54  76  81  83  85  86  90 101 102\n",
      " 118 119 121 123 128 130 134 147 160 162 183 187 198 205 207 208 217 220\n",
      " 224 234 245 253 254]\n",
      "image # 7357, layer # layer3.5.relu has outliers [  0  16  22  53  54  55  58  79  90  91  95 123 134 142 145 162 166 167\n",
      " 170 171 177 179 182 183 198 206 207 215 243 251]\n",
      "image # 7370, layer # layer3.5.relu has outliers [ 18  19  22  32  53  54  71  83  87  90  97 101 119 130 134 140 147 151\n",
      " 152 170 182 187 188 198 207 215 216 225 234 244]\n",
      "image # 7385, layer # layer3.5.relu has outliers [ 17  19  22  51  63  66  83  88 101 106 115 130 132 134 147 162 165 166\n",
      " 188 196 214 215 217 223 229 232 245]\n",
      "image # 7416, layer # layer3.5.relu has outliers [ 11  14  17  19  51  83 101 104 130 162 165 166 179 215 217 220 223 245\n",
      " 251]\n",
      "image # 7494, layer # layer3.5.relu has outliers [  4  14  16  19  22  58  61  64  73  83  87  97 118 123 130 134 137 139\n",
      " 147 162 166 187 188 198 200 204 206 207 210 215 216 217 220 244 250 251\n",
      " 254]\n",
      "image # 7504, layer # layer3.5.relu has outliers [  0  10  16  18  19  51  55  64  71  85  87  90 101 105 107 123 128 130\n",
      " 131 134 145 147 170 174 182 188 206 210 215 221 223 224 237 253]\n",
      "image # 7515, layer # layer3.5.relu has outliers [ 12  16  19  22  53  58  63  74  81  83  85 105 117 118 130 132 136 137\n",
      " 148 165 171 179 186 195 196 198 199 200 220 223 252]\n",
      "image # 7659, layer # layer3.5.relu has outliers [  0  11  16  17  18  19  51  53  57  58  83  86 101 104 111 115 118 128\n",
      " 130 134 139 147 165 166 186 206 215 224 229 232 245]\n",
      "image # 7725, layer # layer3.5.relu has outliers [ 11  17  18  22  29  51  52  62  63  66  81  82  83  85  90  97 104 118\n",
      " 128 130 134 139 147 160 166 181 183 189 200 207 215 221 232 245 247 251]\n",
      "image # 7781, layer # layer3.5.relu has outliers [  0  11  16  58  62  63  82 100 105 119 128 130 134 142 147 162 179 183\n",
      " 186 188 196 198 199 207 215 220 221]\n",
      "image # 7828, layer # layer3.5.relu has outliers [  0   4  11  12  16  19  32  47  54  61  63  79  83  87  90  95 101 104\n",
      " 119 128 130 134 137 145 147 170 174 198 206 215 216 217]\n",
      "image # 7915, layer # layer3.5.relu has outliers [  0  11  14  16  17  18  22  32  53  54  66  83 119 130 134 162 166 168\n",
      " 170 196 198 200 206 216 217 247]\n",
      "image # 7933, layer # layer3.5.relu has outliers [ 15  19  22  23  39  51  53  57  71  79  83  85 101 128 130 134 137 147\n",
      " 156 159 162 170 174 188 199 206 221 223 243 251 254]\n",
      "image # 7969, layer # layer3.5.relu has outliers [  4  14  15  47  51  57  83  90 118 130 134 137 147 152 171 188 196 207\n",
      " 210 214 215 216 224 232 245 247 251 254]\n",
      "image # 8081, layer # layer3.5.relu has outliers [ 12  18  52  53  63  80  83  87  95  97 111 115 118 121 128 130 136 139\n",
      " 140 147 151 162 166 170 188 198 200 206 210 215 216 223 224 245 251]\n",
      "image # 8135, layer # layer3.5.relu has outliers [  0  17  18  19  22  52  53  59  62  79  81  83  90  95 117 118 130 137\n",
      " 139 145 151 159 165 166 170 171 196 200 220 223 232 234 245 250 251]\n",
      "image # 8138, layer # layer3.5.relu has outliers [  0  15  19  22  29  52  53  63  76  81  83  90  95 101 119 123 130 144\n",
      " 153 160 166 169 171 174 188 198 200 206 215 217 221 237 244 251]\n",
      "image # 8161, layer # layer3.5.relu has outliers [  0  18  19  22  52  54  59  71  82  83  87 100 101 118 123 128 130 132\n",
      " 137 139 145 170 187 196 198 200 207 218 220 245 254]\n",
      "image # 8174, layer # layer3.5.relu has outliers [ 16  19  21  22  39  47  58  71  81  82  83  87  88  90  94 100 101 108\n",
      " 118 119 130 132 134 147 148 160 161 166 179 182 198 220 221 237]\n",
      "image # 8253, layer # layer3.5.relu has outliers [ 12  14  15  18  19  22  31  52  71  81  83  90  91  94 101 105 118 122\n",
      " 130 137 147 160 162 169 170 174 179 188 189 198 215 216 223 234 244 251]\n",
      "image # 8273, layer # layer3.5.relu has outliers [ 11  16  18  30  39  56  83  85  87  97 128 134 145 147 166 179 183 196\n",
      " 198 206 221]\n",
      "image # 8342, layer # layer3.5.relu has outliers [ 19  31  32  47  51  52  54  57  62  68  71  83  90 105 115 130 134 145\n",
      " 147 170 188 196 198 215 216 220 251 254]\n",
      "image # 8353, layer # layer3.5.relu has outliers [ 19  22  32  47  83  95 101 119 132 134 137 140 144 145 148 151 160 162\n",
      " 188 195 200 206 214 215 220 245 247]\n",
      "image # 8358, layer # layer3.5.relu has outliers [ 12  14  17  18  19  22  32  51  52  61  73  83  94 104 118 123 130 134\n",
      " 149 162 174 179 195 204 215 217 220 251]\n",
      "image # 8372, layer # layer3.5.relu has outliers [ 22  47  54  56  58  62  83  94  95  97 101 104 123 130 134 137 140 145\n",
      " 166 171 179 188 196 198 200 210 215 216 217 245 251]\n",
      "image # 8535, layer # layer3.5.relu has outliers [  0  22  32  39  47  53  57  58  63  71  83  85  87  95 101 104 128 130\n",
      " 132 134 155 160 166 174 186 188 196 198 206 215 216 251]\n",
      "image # 8544, layer # layer3.5.relu has outliers [  0  11  12  16  19  22  23  51  53  63  83  87  90  97 101 115 127 130\n",
      " 137 140 145 147 148 170 174 182 188 196 198 207 216 221 234 244 251]\n",
      "image # 8612, layer # layer3.5.relu has outliers [  4  11  16  19  39  57  66  83  94 100 104 117 118 128 130 134 142 145\n",
      " 147 166 170 182 189 196 198 210 215 217 221 245]\n",
      "image # 8717, layer # layer3.5.relu has outliers [ 11  17  18  47  51  53  57  63  73  82  83 101 105 111 118 130 132 134\n",
      " 139 151 162 166 168 169 198 200 215 217 221 223 247 251]\n",
      "image # 8755, layer # layer3.5.relu has outliers [  0   4  16  18  22  32  54  57  83  87  90 101 118 126 130 145 147 166\n",
      " 170 196 198 206 207 215 216 220 221 234 251 253]\n",
      "image # 8800, layer # layer3.5.relu has outliers [ 22  30  63  73  79  83  87  88  90 132 140 142 151 160 166 169 170 188\n",
      " 198 203 214 215 238]\n",
      "image # 8909, layer # layer3.5.relu has outliers [  0   4  16  19  22  29  30  32  39  47  51  81  83  87 101 111 118 130\n",
      " 134 140 145 147 162 171 204 206 210 215 217 221 245 249]\n",
      "image # 8923, layer # layer3.5.relu has outliers [  0  14  17  18  22  30  81  83  87  90 101 105 118 130 132 139 147 151\n",
      " 160 166 198 217 237 245 251]\n",
      "image # 8930, layer # layer3.5.relu has outliers [ 11  12  17  19  22  53  66  81  82  83  90 101 118 130 139 152 159 160\n",
      " 166 200 206 215 220 221 224 232 244 245 250 251 254]\n",
      "image # 8933, layer # layer3.5.relu has outliers [  0   4  12  16  22  32  47  53  62  82  83  92 101 104 106 118 130 132\n",
      " 134 144 145 147 148 165 166 188 196 200 206 223 251]\n",
      "image # 8996, layer # layer3.5.relu has outliers [ 11  14  17  18  20  22  58  61  63  66  73  83  85 111 130 131 134 139\n",
      " 165 171 196 201 217 232]\n",
      "image # 9047, layer # layer3.5.relu has outliers [  0   4  15  17  19  52  64  71  79  83  90  95 101 105 106 130 134 136\n",
      " 137 162 166 170 174 179 186 187 188 198 220 223 254]\n",
      "image # 9111, layer # layer3.5.relu has outliers [ 11  19  22  32  59  71  80  81  83  85  87  90 101 105 115 118 128 130\n",
      " 134 136 147 160 182 188 196 198 208 215 216 251]\n",
      "image # 9208, layer # layer3.5.relu has outliers [ 11  18  22  30  50  53  55  83  93 101 128 130 139 147 160 162 170 183\n",
      " 188 198 200 206 221 224 245 253]\n",
      "image # 9320, layer # layer3.5.relu has outliers [ 19  22  32  53  54  58  62  79  80  83  85  87  88  96 100 101 105 118\n",
      " 119 128 130 134 145 147 160 162 179 182 187 195 198 200 217 223 251]\n",
      "image # 9333, layer # layer3.5.relu has outliers [  0   7  11  16  18  19  22  39  51  53  62  63  64  66  83  85  92  96\n",
      "  97 100 101 105 118 119 130 134 136 147 175 179 188 198 207 221 254]\n",
      "image # 9585, layer # layer3.5.relu has outliers [ 17  19  22  66  82  83 104 105 111 115 118 123 130 134 145 163 165 166\n",
      " 168 171 186 188 195 198 200 204 206 220 223 232 244 247 251]\n",
      "image # 9597, layer # layer3.5.relu has outliers [  0  11  14  19  22  52  53  56  57  63  79  81  83  87  90  95 104 105\n",
      " 130 132 139 147 162 166 174 215 217 220 221 223 245 251]\n",
      "image # 9598, layer # layer3.5.relu has outliers [  4  16  19  22  53  63  81  83  90  91 101 120 123 130 134 145 147 162\n",
      " 177 182 188 190 198 200 204 210 215 217 234 245]\n",
      "image # 9611, layer # layer3.5.relu has outliers [  0  15  16  19  22  39  53  54  83  87  93  95 119 127 128 130 134 140\n",
      " 145 147 161 166 177 179 182 188 196 198 206 215 216 221 224 253]\n",
      "image # 9655, layer # layer3.5.relu has outliers [  1  11  15  19  23  32  52  57  66  82  83  90 100 101 104 105 109 130\n",
      " 132 134 147 148 160 162 166 170 188 198 215 216 221 224 235 245]\n",
      "image # 9716, layer # layer3.5.relu has outliers [  0  11  52  54  59  71  82  83  90  94  95 101 104 134 145 160 166 174\n",
      " 179 198 206 207 215 216 217 220 221 223 245 251]\n",
      "image # 9807, layer # layer3.5.relu has outliers [ 11  17  19  22  29  30  32  51  54  55  66  79  83  97 124 127 128 130\n",
      " 134 147 159 162 168 171 190 206 207 215 217 221 232 251]\n",
      "image # 9854, layer # layer3.5.relu has outliers [ 16  66  71  83  97 104 111 118 130 134 137 142 147 162 174 179 188 189\n",
      " 198 215]\n",
      "image # 9870, layer # layer3.5.relu has outliers [  0  18  19  22  32  51  54  57  71  79  81  82  83  90  95  97 101 109\n",
      " 117 118 130 132 134 137 151 152 159 160 162 165 166 174 188 200 215 216\n",
      " 217 220 221 245 249 254]\n",
      "image # 9914, layer # layer3.5.relu has outliers [  0   4  16  19  22  39  51  53  62  71  79  83  96  97 101 105 107 118\n",
      " 130 134 137 140 147 166 170 182 188 198 207 216 221 223 250 251]\n",
      "image # 9937, layer # layer3.5.relu has outliers [  0  12  16  23  32  53  62  71  83 118 130 134 142 147 160 165 171 188\n",
      " 198 206 215 223 224 245 251 254]\n",
      "image # 10055, layer # layer3.5.relu has outliers [ 12  16  19  22  31  39  54  71  83  88  95 101 118 128 130 134 140 147\n",
      " 152 160 161 182 187 188 198 215 234]\n",
      "image # 10087, layer # layer3.5.relu has outliers [ 22  24  47  52  66  83  87 101 119 130 134 140 145 162 166 170 188 196\n",
      " 198 200 210 215 224 254]\n",
      "image # 10129, layer # layer3.5.relu has outliers [  0  15  22  24  32  53  57  82  83 100 101 104 105 128 130 134 142 147\n",
      " 160 166 170 182 188 198 215 216 217 218 221 224 244 245]\n",
      "image # 10156, layer # layer3.5.relu has outliers [ 17  19  37  39  53  57  82  83  87  97 119 123 130 134 142 145 166 198\n",
      " 199 206 254]\n",
      "image # 10193, layer # layer3.5.relu has outliers [  0   4   7  16  18  19  22  29  32  51  54  55  71  83  87  90  92 101\n",
      " 104 111 118 128 130 134 140 145 147 151 166 177 198 206 207 215 216 221\n",
      " 224 225 234 245 246 249 253]\n",
      "image # 10209, layer # layer3.5.relu has outliers [  7  11  12  17  18  33  41  56  63  66  83  85 115 130 134 139 147 152\n",
      " 170 171 186 214 218 220 221 232 251]\n",
      "image # 10225, layer # layer3.5.relu has outliers [ 11  17  18  19  22  90  92  97 101 105 118 130 134 139 147 151 160 168\n",
      " 171 196 200 206 207 215 221 224 232 234 246 251]\n",
      "image # 10251, layer # layer3.5.relu has outliers [  0   4  22  32  33  51  53  57  63  71  83  90  97 101 117 119 123 134\n",
      " 142 147 166 198 203 215 216 220 221 234 251]\n",
      "image # 10259, layer # layer3.5.relu has outliers [  7  11  16  18  32  37  47  53  63  64  66  73  83  85 101 111 118 119\n",
      " 128 130 134 147 155 162 168 188 198 220 223 236 240 251]\n",
      "image # 10263, layer # layer3.5.relu has outliers [  0  16  17  22  51  56  63  83  85 101 104 118 130 134 147 165 170 177\n",
      " 183 188 196 198 200 217 220 245]\n",
      "image # 10269, layer # layer3.5.relu has outliers [  0   4  11  22  23  44  52  54  81  83  90 118 123 130 134 160 162 166\n",
      " 168 179 198 200 206 207 217 220 224 236 245]\n",
      "image # 10273, layer # layer3.5.relu has outliers [  0  22  24  39  47  53  62  63  66  83 101 104 106 130 134 145 162 165\n",
      " 166 170 183 196 198 199 200 206 221]\n",
      "image # 10297, layer # layer3.5.relu has outliers [  0   9  19  22  52  53  62  66  81  83  85  95 115 130 131 136 145 160\n",
      " 162 166 182 183 188 191 198 216 217 236 250 251 253]\n",
      "image # 10343, layer # layer3.5.relu has outliers [  0  16  19  22  66  83 105 118 130 134 142 144 145 147 160 162 166 178\n",
      " 188 198 200 210 215 217 223 251 253]\n",
      "image # 10377, layer # layer3.5.relu has outliers [ 18  19  39  51  52  54  62  63  64  80  83 101 105 107 123 134 137 145\n",
      " 147 162 174 188 198 217 218 236 244 245 249 251]\n",
      "image # 10385, layer # layer3.5.relu has outliers [  0   4   9  16  18  19  22  39  47  53  55  83  93 101 111 123 127 134\n",
      " 144 147 166 170 177 178 179 196 198 215 217 220 221 225 234 237 246 249\n",
      " 253 254]\n",
      "image # 10398, layer # layer3.5.relu has outliers [ 11  18  22  41  47  51  64  83 100 101 118 130 142 147 162 168 171 179\n",
      " 186 195 198 200 206 210 214 220 223 236 246 253 254]\n",
      "image # 10418, layer # layer3.5.relu has outliers [  0  16  19  31  32  51  52  53  54  71  83  87  95  97 105 127 130 134\n",
      " 137 145 152 166 170 174 182 188 198 215 217 221 251 253 254]\n",
      "image # 10513, layer # layer3.5.relu has outliers [ 16  30  57  81  83  90  92 101 104 139 142 147 151 160 170 188 206 207\n",
      " 216 245]\n",
      "image # 10524, layer # layer3.5.relu has outliers [  0  10  11  16  18  22  39  58  63  64  83 104 106 118 130 134 147 188\n",
      " 191 196 198 210 215 220 221 253]\n",
      "image # 10705, layer # layer3.5.relu has outliers [ 12  16  19  22  51  52  79  83  87 101 104 118 119 130 132 134 137 148\n",
      " 151 162 166 170 171 179 188 210 215 217 223 244 251]\n",
      "image # 10817, layer # layer3.5.relu has outliers [  0  12  17  18  19  22  53  57  63  71  76  83  85 101 118 130 132 134\n",
      " 137 142 151 160 162 183 186 188 198 200 206 224 232 244 245 247]\n",
      "image # 10818, layer # layer3.5.relu has outliers [  0   4  16  19  22  29  51  83  94 105 111 118 130 134 145 147 168 170\n",
      " 177 179 188 195 198 215 217 220 223]\n",
      "image # 10821, layer # layer3.5.relu has outliers [ 10  14  15  18  22  61  64  71  73  82  83  85  94 104 118 130 132 134\n",
      " 139 160 162 179 187 188 195 196 198 200 217 220 221 223 234 244 245 254]\n",
      "image # 10866, layer # layer3.5.relu has outliers [ 16  19  53  54  63  71  81  83 108 118 134 136 139 147 162 171 174 177\n",
      " 179 183 188 190 198 214 232]\n",
      "image # 10946, layer # layer3.5.relu has outliers [  7  10  11  18  37  39  52  53  63  64  83  85  97 115 118 119 130 134\n",
      " 139 142 147 151 162 176 182 195 198 207 210 214 220 239 243 247]\n",
      "layer layer4.0.relu\n",
      "image # 130, layer # layer4.0.relu has outliers [  2  13  19  20  25  39  43  46  62  68  74  81  83  85  88  89 106 108\n",
      " 111 115 121 135 140 151 157 165 166 177 181 183 192 198 201 202 213 222\n",
      " 223 231 235 239 245 249 255 273 288 299 301 304 306 314 315 328 340 341\n",
      " 353 355 359 373 376 381 389 390 393 401 409 425 434 438 444 447 450 470\n",
      " 482 489 491 500 510]\n",
      "image # 135, layer # layer4.0.relu has outliers [  3  10  31  37  39  45  49  57  60  71  72  81  82  83  85  89  92  95\n",
      " 107 110 115 119 121 127 135 138 161 166 169 180 191 197 198 204 210 212\n",
      " 213 223 228 231 249 250 251 261 276 301 311 314 321 325 340 355 358 373\n",
      " 374 381 383 386 389 393 405 409 430 438 457 458 470 475 484 487 489 491\n",
      " 496 510]\n",
      "image # 250, layer # layer4.0.relu has outliers [  0   4   7  13  25  33  34  37  63  68  70  73  84  95 101 102 107 111\n",
      " 129 132 138 140 158 169 172 173 188 189 192 198 231 239 245 255 274 282\n",
      " 300 301 313 320 333 335 341 353 362 373 383 393 396 401 407 409 415 425\n",
      " 437 444 450 459 470 482 484 500]\n",
      "image # 383, layer # layer4.0.relu has outliers [  6   7  10  11  25  33  34  38  66  68  73 101 104 108 111 120 124 132\n",
      " 133 138 139 140 151 155 158 169 177 181 187 192 195 197 198 203 220 222\n",
      " 230 235 259 281 288 300 301 306 315 320 324 340 341 349 353 369 373 387\n",
      " 390 393 396 399 401 406 407 437 447 449 454 459 464 466 476 479 482 491\n",
      " 500 506 510]\n",
      "image # 399, layer # layer4.0.relu has outliers [  3  11  12  19  24  37  39  59  63  66  76  82  87  91  99 127 138 143\n",
      " 152 154 165 184 194 195 202 204 213 223 226 247 251 285 307 309 347 352\n",
      " 353 354 358 370 373 375 378 385 393 402 404 408 412 423 437 450 454 475\n",
      " 478 487 496 501 507 510]\n",
      "image # 519, layer # layer4.0.relu has outliers [  0   1   5  14  21  26  33  39  40  41  46  48  57  66  68  99 100 101\n",
      " 103 107 111 132 135 155 161 165 166 170 172 173 186 202 222 224 229 250\n",
      " 268 269 274 278 300 314 335 351 353 355 357 358 362 364 372 380 391 393\n",
      " 399 402 404 407 420 434 441 450 470 475 476 487]\n",
      "image # 540, layer # layer4.0.relu has outliers [  1   6  25  27  35  41  44  66  73  79  85 101 102 104 109 124 126 129\n",
      " 132 133 134 138 139 154 155 159 161 167 170 171 184 192 195 211 226 243\n",
      " 252 259 269 270 274 278 283 288 289 290 293 296 300 313 314 334 337 396\n",
      " 399 406 408 427 429 430 433 443 454 455 457 468 471 482 491 497 504]\n",
      "image # 551, layer # layer4.0.relu has outliers [ 12  13  24  37  39  45  49  57  61  81  83  93 100 103 108 110 124 154\n",
      " 157 165 179 180 181 192 194 195 197 201 202 204 205 207 213 220 231 239\n",
      " 245 247 272 274 278 291 299 300 310 311 325 330 341 349 353 358 359 361\n",
      " 373 376 383 393 401 403 422 434 438 440 443 444 450 462 475 491 496 507]\n",
      "image # 579, layer # layer4.0.relu has outliers [  1  10  13  25  34  37  39  73  77  95 102 104 105 106 109 121 126 132\n",
      " 138 140 147 151 154 156 159 169 192 193 201 205 210 216 217 226 240 246\n",
      " 251 254 256 258 272 276 278 301 307 316 325 340 345 359 364 371 376 385\n",
      " 388 389 394 396 399 402 403 408 425 428 429 434 445 450 455 457 458 459\n",
      " 469 479 480 485 491 492 493 497 506 507 510]\n",
      "image # 739, layer # layer4.0.relu has outliers [  0  10  11  25  33  34  39  47  60  68  82  84  85  89  91  95 102 115\n",
      " 126 132 134 135 138 140 143 155 156 161 187 193 197 201 202 207 208 219\n",
      " 224 230 232 233 242 251 252 262 268 274 279 280 288 289 292 302 321 364\n",
      " 368 375 382 383 385 386 394 396 397 408 435 438 441 448 452 461 485 496\n",
      " 500 506 507]\n",
      "image # 751, layer # layer4.0.relu has outliers [  3   8  29  32  37  39  57  59  65  72  85  88  92 103 104 115 119 121\n",
      " 127 133 138 139 147 150 156 161 167 173 180 181 182 183 185 186 193 198\n",
      " 205 222 227 232 243 244 250 251 258 261 275 276 295 296 300 302 311 313\n",
      " 314 315 318 325 334 343 347 354 377 380 382 386 393 404 406 408 409 414\n",
      " 424 428 430 434 438 439 456 457 462 468 475 479 496 508]\n",
      "image # 818, layer # layer4.0.relu has outliers [  1   9  33  34  37  46  50  54  83 102 109 119 126 127 134 135 161 179\n",
      " 192 194 199 213 215 217 219 227 243 245 250 259 262 267 274 280 290 300\n",
      " 314 331 343 353 358 364 367 373 376 383 391 393 396 400 402 405 408 414\n",
      " 430 437 440 441 454 457 458 482 489 500 504 506 507]\n",
      "image # 821, layer # layer4.0.relu has outliers [  2  13  24  39  44  49  57  61  63  73  82  83  84  87  99 101 103 107\n",
      " 111 137 138 139 143 151 154 155 157 165 170 181 192 197 201 202 203 212\n",
      " 216 220 223 230 239 262 268 280 325 328 341 342 345 349 353 359 360 363\n",
      " 364 371 373 385 389 393 401 406 410 415 418 420 425 435 437 440 443 444\n",
      " 449 450 458 470 472 482 489 496]\n",
      "image # 878, layer # layer4.0.relu has outliers [  4   5  37  40  43  44  63  66  74  77  99 101 111 124 138 141 143 192\n",
      " 197 202 204 212 214 223 224 225 231 233 235 239 253 259 262 288 299 306\n",
      " 320 341 342 347 349 353 359 362 370 375 376 390 393 396 399 401 403 412\n",
      " 425 444 449 450 464 482 489]\n",
      "image # 907, layer # layer4.0.relu has outliers [  4  10  13  25  29  37  40  44  48  73  77  85 103 107 111 115 124 129\n",
      " 131 137 138 140 143 144 152 165 179 181 192 194 197 203 206 216 220 225\n",
      " 255 268 277 295 296 325 341 347 349 353 355 360 371 399 401 405 406 415\n",
      " 423 425 444 448 449 470 476 482 489 510]\n",
      "image # 1042, layer # layer4.0.relu has outliers [  0   7  10  14  28  33  34  37  46  52  57  60  91  93 104 116 126 134\n",
      " 147 159 172 179 182 187 192 197 199 201 202 210 226 251 252 253 257 274\n",
      " 276 290 300 301 303 311 313 314 321 331 335 338 353 362 364 367 373 375\n",
      " 377 383 391 393 397 399 400 402 403 408 431 434 438 457 458 492 504 506\n",
      " 509]\n",
      "image # 1134, layer # layer4.0.relu has outliers [ 13  39  43  47  48  49  57  73  77  85 100 101 103 107 111 130 132 134\n",
      " 138 140 151 157 161 165 170 179 181 185 192 197 202 222 223 231 235 239\n",
      " 248 249 256 262 272 275 288 299 301 310 315 325 342 376 380 381 389 393\n",
      " 396 399 402 403 406 410 418 443 444 447 450 470 491 500 501 507]\n",
      "image # 1195, layer # layer4.0.relu has outliers [  8  10  17  18  46  53  54  57  65  69  71  72  77  79  83  85 104 105\n",
      " 113 122 123 128 151 155 158 165 182 187 192 193 196 205 210 219 220 226\n",
      " 237 243 248 249 252 254 288 290 300 321 331 339 343 345 356 359 367 369\n",
      " 373 374 376 385 396 405 422 424 436 439 440 455 456 458 465 466 481 482\n",
      " 483 487 489 492 498 505 507]\n",
      "image # 1207, layer # layer4.0.relu has outliers [  7  40  42  43  48  58  77  93  94 102 103 116 128 139 140 147 152 167\n",
      " 186 197 205 210 213 226 236 237 239 243 251 254 256 270 271 278 281 300\n",
      " 301 311 313 316 318 324 333 336 340 376 377 378 381 393 396 410 411 431\n",
      " 434 448 459 468 469 470 471 473 486]\n",
      "image # 1250, layer # layer4.0.relu has outliers [  1  13  34  40  46  48  52  58  59  86  94  95 101 103 106 116 132 139\n",
      " 147 152 159 161 167 170 172 186 187 205 211 216 219 226 232 239 246 251\n",
      " 256 261 262 271 275 276 281 288 296 299 303 307 313 316 317 324 342 352\n",
      " 367 370 377 378 381 388 393 396 405 415 434 469 471 473 483 489]\n",
      "image # 1285, layer # layer4.0.relu has outliers [ 13  21  31  34  40  43  46  66  68  70  74  76  89  92  93 119 139 152\n",
      " 157 165 170 177 179 192 197 213 236 237 239 247 250 251 268 272 280 281\n",
      " 285 303 304 306 310 314 316 324 328 330 341 348 353 359 361 362 371 376\n",
      " 380 381 388 389 393 404 405 428 432 444 448 450 458 470 477 498]\n",
      "image # 1296, layer # layer4.0.relu has outliers [  4  13  25  32  37  38  43  53  58  66  74  77  95  98 107 111 113 118\n",
      " 129 131 138 141 144 150 154 158 165 173 177 181 197 198 201 220 222 231\n",
      " 232 235 237 249 251 253 262 268 293 295 299 304 306 307 310 317 322 328\n",
      " 337 340 345 346 349 351 353 376 380 387 393 399 406 410 415 417 423 436\n",
      " 450 454 464 479 491 497]\n",
      "image # 1382, layer # layer4.0.relu has outliers [  4  13  25  33  37  39  40  43  44  48  57  68  81  82  99 107 109 111\n",
      " 129 137 139 140 149 150 155 158 165 177 179 181 195 201 202 203 216 217\n",
      " 220 222 237 246 258 268 292 316 317 325 328 334 336 341 351 353 362 369\n",
      " 379 381 388 393 396 399 401 406 407 409 411 415 418 423 430 444 450 454\n",
      " 456 459 474 476 482 484 488 491]\n",
      "image # 1392, layer # layer4.0.relu has outliers [  6  35  41  48  50  52  54  55  64  65  76  89  93  95 101 116 124 126\n",
      " 128 134 138 147 154 156 161 169 178 179 180 193 197 202 210 211 219 226\n",
      " 232 236 246 252 255 259 263 274 276 278 279 281 285 289 291 300 306 307\n",
      " 314 317 325 331 362 367 375 393 395 396 404 410 416 424 432 441 442 450\n",
      " 455 470 477 497]\n",
      "image # 1451, layer # layer4.0.relu has outliers [  3  37  39  57  60  70  72  76  85  93 104 115 119 124 125 134 138 155\n",
      " 165 168 179 194 197 201 210 216 230 243 253 262 276 277 303 311 314 317\n",
      " 321 335 336 339 348 357 358 362 386 396 402 403 412 413 422 424 425 427\n",
      " 436 439 440 441 456 457 458 476 482 485 496 499]\n",
      "image # 1457, layer # layer4.0.relu has outliers [ 13  18  37  41  47  52  54  55  64  65  68  83  87  88  93 112 119 122\n",
      " 126 132 135 139 140 151 161 170 172 177 179 180 186 212 213 219 226 227\n",
      " 236 238 248 250 252 261 279 283 285 308 316 322 331 344 364 375 396 411\n",
      " 432 435 442 448 451 462 473 477 478 480 481 489 503]\n",
      "image # 1520, layer # layer4.0.relu has outliers [  2   7  10  13  18  25  33  34  38  46  57  74  80  89 101 111 119 129\n",
      " 132 134 135 155 161 163 165 166 192 200 214 222 231 239 245 247 249 267\n",
      " 272 276 278 282 285 300 301 306 315 324 341 353 354 362 373 390 393 394\n",
      " 396 397 399 401 430 434 437 444 450 470 489 491 498 500 504 510]\n",
      "image # 1545, layer # layer4.0.relu has outliers [  1   3  13  34  39  45  54  61  65  66  69  83  85 109 126 135 138 140\n",
      " 145 151 154 155 161 165 178 180 181 182 201 217 222 227 230 231 237 240\n",
      " 250 262 279 285 288 300 315 325 343 345 358 364 367 378 380 382 387 389\n",
      " 390 393 402 406 414 418 430 433 434 437 438 440 443 447 450 456 474 475\n",
      " 487 489 496 500 501 507 509]\n",
      "image # 1724, layer # layer4.0.relu has outliers [  4   7  25  37  43  47  48  68  70  89 100 101 103 106 107 111 125 129\n",
      " 143 151 158 165 177 179 183 188 192 194 197 203 211 217 235 239 246 251\n",
      " 255 257 268 274 277 306 310 312 315 320 328 341 349 350 351 362 390 396\n",
      " 401 411 425 441 447 448 464 470 482 497 498]\n",
      "image # 1777, layer # layer4.0.relu has outliers [  3  19  33  34  35  40  46  48  58  66  71  77  79 101 105 106 110 124\n",
      " 132 134 138 139 144 154 155 161 177 184 186 197 216 225 226 240 251 252\n",
      " 256 259 261 262 274 276 277 288 307 340 343 364 370 376 402 411 427 435\n",
      " 443 451 453 454 462 468 471 477 497]\n",
      "image # 1846, layer # layer4.0.relu has outliers [  5   7  18  38  55  57  60  89 103 114 128 132 139 142 154 167 169 170\n",
      " 174 181 192 210 215 217 226 237 243 246 252 253 254 269 278 281 285 300\n",
      " 304 306 307 313 316 331 333 349 362 364 398 402 409 419 434 438 448 468\n",
      " 470 473 480 481 484 490 498 501 502]\n",
      "image # 1864, layer # layer4.0.relu has outliers [  9  19  21  35  40  52  59  65  66  85 102 110 125 130 132 134 139 147\n",
      " 150 152 153 184 185 187 203 206 211 216 217 220 224 227 232 251 259 261\n",
      " 269 275 283 289 296 316 317 332 334 343 346 396 416 417 425 427 428 432\n",
      " 451 455 457 476 497 506 510]\n",
      "image # 1912, layer # layer4.0.relu has outliers [  7  13  16  25  34  47  77 101 105 106 107 109 116 139 140 146 152 154\n",
      " 165 167 172 178 187 190 210 211 216 217 218 220 226 235 262 273 288 291\n",
      " 301 303 316 318 334 343 349 367 378 381 388 393 396 415 432 433 434 442\n",
      " 447 450 453 469 480 481 483 485 502]\n",
      "image # 1969, layer # layer4.0.relu has outliers [ 10  11  17  18  19  25  34  35  44  54  57  59  60  63  65  68  71  83\n",
      "  86  89 101 104 109 126 134 138 147 156 169 170 177 178 184 189 199 210\n",
      " 212 216 217 219 226 229 245 246 251 275 278 280 285 288 290 306 308 309\n",
      " 314 317 331 360 364 367 371 378 386 393 395 402 412 422 423 424 437 438\n",
      " 449 455 458 460 465 487 491 497 507]\n",
      "image # 1970, layer # layer4.0.relu has outliers [  7  13  19  25  34  37  45  58  91  95 102 103 114 116 126 133 139 141\n",
      " 142 147 152 154 167 177 178 186 199 210 216 219 223 226 232 235 236 239\n",
      " 251 262 266 281 288 299 301 307 313 316 317 324 334 336 340 343 350 352\n",
      " 354 364 376 377 378 393 396 399 400 408 410 415 423 433 434 442 448 450\n",
      " 455 473 486 497 511]\n",
      "image # 2006, layer # layer4.0.relu has outliers [  7  12  14  22  24  25  34  38  42  56  57  83  92  96 104 107 109 114\n",
      " 116 118 120 128 131 134 142 143 152 154 156 165 166 169 174 179 187 188\n",
      " 189 192 198 202 205 209 210 226 235 249 251 261 280 294 319 321 345 346\n",
      " 349 350 367 368 376 378 383 386 387 396 403 408 412 420 424 433 434 437\n",
      " 442 445 446 450 475 479 482 485 488 492 494 497 502 506]\n",
      "image # 2025, layer # layer4.0.relu has outliers [  1   7  13  19  25  37  45  46  58  65  74  77  83  86  89  92  93 102\n",
      " 107 110 129 132 133 138 140 147 161 167 180 182 186 192 205 210 212 214\n",
      " 223 229 236 240 243 250 262 270 271 281 300 301 302 307 311 313 317 318\n",
      " 324 325 330 347 352 353 354 376 380 389 393 399 402 414 433 435 437 442\n",
      " 443 447 454 455 457 458 469 473 479 483 487 489 497 510]\n",
      "image # 2117, layer # layer4.0.relu has outliers [ 14  19  21  32  34  52  65  66  67  72  73  76  83  93 100 115 136 154\n",
      " 155 165 167 169 181 182 189 202 220 227 229 240 246 256 269 270 289 299\n",
      " 305 307 313 318 321 324 330 333 336 340 343 351 352 353 354 359 372 376\n",
      " 389 393 402 405 407 420 433 438 442 450 453 474 477 487]\n",
      "image # 2269, layer # layer4.0.relu has outliers [  6  11  13  17  24  25  33  35  37  39  46  56  58  73  76 102 106 109\n",
      " 110 124 126 132 133 139 143 154 155 165 173 184 186 188 202 212 216 217\n",
      " 229 231 240 241 252 262 270 288 299 307 321 325 334 348 349 376 377 378\n",
      " 390 393 396 399 400 402 403 404 428 433 443 450 453 454 474 488 497 500\n",
      " 509 510]\n",
      "image # 2421, layer # layer4.0.relu has outliers [  1   3  10  21  34  37  39  57  65  75  76  86  87  93  99 109 131 138\n",
      " 139 140 145 150 154 165 169 170 174 178 180 182 184 192 194 197 198 205\n",
      " 211 224 227 252 259 261 274 278 289 300 314 343 346 354 358 371 375 380\n",
      " 388 393 396 402 404 405 420 422 424 427 441 457 467 473 485 490 496 497\n",
      " 508]\n",
      "image # 2524, layer # layer4.0.relu has outliers [  6  17  24  39  41  59  70  72  76  81  91  95 104 120 135 138 145 154\n",
      " 156 159 161 166 179 186 193 197 210 216 226 228 232 237 243 258 261 287\n",
      " 290 295 299 301 310 317 319 321 325 356 358 367 371 376 378 385 386 389\n",
      " 393 396 414 415 423 424 434 438 456 475 484 488 496 497 505 508]\n",
      "image # 2530, layer # layer4.0.relu has outliers [  0   1  13  25  32  33  34  39  41  43  46  47  54  60  61  64  68  83\n",
      "  85  98  99 100 106 107 109 111 118 128 135 137 140 143 151 155 161 181\n",
      " 184 199 217 223 227 236 240 242 246 251 252 256 278 290 305 307 315 321\n",
      " 325 343 344 345 351 358 361 376 380 383 393 399 407 433 437 441 444 453\n",
      " 467 487 491 502 507 510]\n",
      "image # 2565, layer # layer4.0.relu has outliers [  5  40  44  55  99 106 107 116 125 170 173 179 186 187 197 199 211 216\n",
      " 225 226 245 246 255 262 274 288 300 306 317 322 335 336 342 349 364 365\n",
      " 375 377 393 399 425 431 432 434 441 448 470]\n",
      "image # 2635, layer # layer4.0.relu has outliers [ 10  13  25  33  37  39  43  44  48  49  63  82 100 101 103 107 111 124\n",
      " 129 132 138 144 149 150 151 155 161 164 165 168 173 177 181 185 195 197\n",
      " 216 220 222 231 248 268 277 288 306 310 315 316 328 341 349 353 357 360\n",
      " 370 380 396 399 403 405 406 418 425 430 439 443 444 449 454 464 467 470\n",
      " 474 476 482 491 496 506]\n",
      "image # 2638, layer # layer4.0.relu has outliers [ 11  13  15  18  21  25  37  63  68  72  76  80  83  85  86  93  99 102\n",
      " 109 119 124 126 140 147 151 152 164 178 179 180 187 193 194 197 199 206\n",
      " 211 219 223 226 233 236 247 251 259 262 267 275 279 280 285 288 296 299\n",
      " 307 309 325 332 343 346 358 365 371 375 382 386 394 396 404 405 410 424\n",
      " 428 432 434 442 450 457 478 481 482 489 490 497 498 500 510]\n",
      "image # 2727, layer # layer4.0.relu has outliers [  1  13  32  33  34  37  47  48  54  63  80  85 102 109 112 118 119 121\n",
      " 123 126 128 132 134 135 140 151 158 161 166 169 177 178 179 187 192 194\n",
      " 199 201 206 219 232 234 235 237 250 252 273 278 280 288 299 307 314 315\n",
      " 325 328 343 347 356 358 362 367 371 373 376 378 382 386 395 396 401 428\n",
      " 432 450 455 475 478 482 487 489 500 507 510]\n",
      "image # 2817, layer # layer4.0.relu has outliers [  7  13  18  25  31  32  37  49  57  68  74  81  85  87  88  89  98 100\n",
      " 111 119 134 161 166 170 173 177 192 204 212 213 231 238 244 245 248 255\n",
      " 267 274 280 282 288 299 300 306 311 314 315 319 341 344 349 355 360 386\n",
      " 393 394 397 399 409 411 430 437 439 459 462 464 467 470 475 489 491 498\n",
      " 500 504]\n",
      "image # 2937, layer # layer4.0.relu has outliers [ 13  25  35  40  44  47  52  57  63  66  82  84  95  99 100 101 103 129\n",
      " 131 132 138 143 144 150 154 155 165 181 183 188 191 192 197 201 203 216\n",
      " 217 220 222 230 233 255 259 262 268 269 300 306 316 333 334 341 349 363\n",
      " 390 396 403 405 406 421 425 427 429 441 443 444 449 454 457 467 474 476\n",
      " 484 506]\n",
      "image # 2942, layer # layer4.0.relu has outliers [  1  10  27  28  31  32  37  39  40  45  68  77  82  87  99 101 106 108\n",
      " 111 119 127 140 141 151 155 161 163 170 172 187 192 197 204 208 223 229\n",
      " 231 255 256 262 267 269 270 274 276 282 288 300 315 316 325 339 347 353\n",
      " 354 355 359 365 370 373 374 375 380 385 393 396 399 400 405 412 422 444\n",
      " 457 462 470 488 500]\n",
      "image # 2962, layer # layer4.0.relu has outliers [  4  18  37  54  57  67  88  89 102 105 114 118 128 129 132 134 135 156\n",
      " 178 179 187 192 205 210 214 226 235 247 254 276 282 287 299 312 314 335\n",
      " 341 353 354 355 362 373 376 378 380 385 391 395 401 412 442 450 455 458\n",
      " 481 486 487 494 497 498 502 504 510 511]\n",
      "image # 3065, layer # layer4.0.relu has outliers [ 11  17  19  30  86  95 101 119 138 167 177 178 182 186 187 192 193 197\n",
      " 210 212 213 219 223 226 229 236 256 261 276 280 281 290 301 303 307 317\n",
      " 318 322 324 325 326 336 340 352 354 358 359 371 378 380 382 393 396 399\n",
      " 410 417 434 442 443 450 468 473 479 488 491 494 497 504 509]\n",
      "image # 3147, layer # layer4.0.relu has outliers [  3  13  25  58  75  80  83  97 102 110 114 128 129 133 139 140 154 155\n",
      " 158 165 167 170 174 178 180 182 186 191 201 204 210 216 217 226 235 251\n",
      " 275 281 285 288 301 307 313 316 330 340 343 350 351 354 377 378 393 396\n",
      " 399 415 423 433 434 448 455 468 483 497 504]\n",
      "image # 3287, layer # layer4.0.relu has outliers [  2   3  25  29  43  48  49  58  70  74  77  89  92  99 100 102 107 127\n",
      " 129 133 138 139 140 141 164 165 177 183 192 195 202 205 213 222 223 231\n",
      " 235 239 247 248 249 251 258 299 310 311 315 340 351 353 376 380 381 383\n",
      " 385 390 393 401 407 415 418 428 444 447 450 464 467 470 482 485 491]\n",
      "image # 3395, layer # layer4.0.relu has outliers [  1  13  25  27  28  35  45  57  62  76 101 102 129 132 139 140 154 155\n",
      " 170 180 186 187 188 210 216 217 241 258 261 269 276 278 300 302 313 318\n",
      " 324 334 350 354 359 377 378 393 396 399 433 434 463 468 473 474 488 491\n",
      " 497 500 506]\n",
      "image # 3643, layer # layer4.0.relu has outliers [  1   3  12  25  34  57  63  94  97 101 108 110 122 133 139 140 142 147\n",
      " 148 154 159 160 170 180 181 187 191 192 193 198 203 205 211 231 232 237\n",
      " 251 259 271 274 275 278 281 295 296 300 301 318 324 340 343 346 350 352\n",
      " 354 377 378 383 388 396 406 410 432 434 447 448 454 457 468 469 473 474\n",
      " 479 480 481 491 497 506]\n",
      "image # 3811, layer # layer4.0.relu has outliers [ 13  32  33  37  39  43  49  56  57  68  69  70  73  81  85  89  92 100\n",
      " 104 111 115 121 127 129 134 137 138 154 155 156 165 170 181 183 192 198\n",
      " 214 220 222 229 231 237 242 244 258 311 314 315 336 340 353 355 362 369\n",
      " 380 386 390 393 403 405 406 407 409 430 437 438 439 440 444 457 459 460\n",
      " 470 475 479 491 496 501 506]\n",
      "image # 3846, layer # layer4.0.relu has outliers [  1   3  24  34  37  57  65  66  72  76  83  84  93 104 109 116 119 134\n",
      " 135 138 154 161 165 169 179 180 181 192 194 197 201 202 205 210 214 226\n",
      " 229 231 250 261 262 280 300 303 309 314 331 354 362 371 373 375 376 383\n",
      " 386 388 389 390 395 396 402 404 405 408 412 422 424 434 438 457 458 482\n",
      " 485 489 496 507 510]\n",
      "image # 3930, layer # layer4.0.relu has outliers [  5  10  13  31  33  37  39  44  46  48  68  74 106 107 108 111 129 130\n",
      " 138 151 157 161 166 179 183 192 194 195 199 202 219 222 225 233 239 244\n",
      " 248 251 259 267 272 274 288 306 320 328 339 341 347 349 353 365 366 370\n",
      " 375 376 390 393 396 399 401 411 434 441 444 449 454 462 470 491]\n",
      "image # 3953, layer # layer4.0.relu has outliers [  1   3   5  13  28  34  37  39  47  52  57  76  84  95  99 101 103 107\n",
      " 111 115 125 138 140 142 144 150 153 154 155 165 169 170 172 173 186 192\n",
      " 200 208 215 216 220 224 229 258 261 262 300 301 303 311 313 314 320 334\n",
      " 335 346 377 388 393 396 399 402 425 429 434 437 439 457 479 482 490 506\n",
      " 507]\n",
      "image # 4002, layer # layer4.0.relu has outliers [  0  33  37  39  41  46  54  56  60  65  66  68  71  73  79  83 109 118\n",
      " 119 123 132 134 135 140 151 155 157 165 167 170 173 177 178 185 199 201\n",
      " 202 217 219 220 227 240 250 252 267 275 280 288 290 294 314 315 331 334\n",
      " 364 365 371 374 386 388 403 406 408 409 418 424 428 454 457 469 475 483\n",
      " 487 493 494 496 501 507 510]\n",
      "image # 4014, layer # layer4.0.relu has outliers [  4   7  13  18  25  27  38  47  58  68  89 112 114 121 132 166 167 170\n",
      " 171 177 178 186 188 192 193 195 214 215 222 226 248 249 269 276 281 293\n",
      " 301 312 341 344 373 374 379 394 410 438 457 459 470 481 498 504 506 510]\n",
      "image # 4064, layer # layer4.0.relu has outliers [  1   5  10  11  13  34  37  46  57  59  61  87  91  93  99 102 115 140\n",
      " 143 145 146 147 151 160 170 180 181 190 191 192 194 198 199 203 208 210\n",
      " 212 217 231 251 256 259 261 262 273 276 278 279 288 301 302 314 325 326\n",
      " 331 347 370 375 381 383 388 389 390 402 405 406 412 422 425 434 443 457\n",
      " 478 481 482 484 500 507]\n",
      "image # 4078, layer # layer4.0.relu has outliers [  1   3  12  19  34  73  79  83  85 102 118 126 138 139 140 147 148 161\n",
      " 165 178 187 202 205 217 227 229 230 231 232 235 251 271 275 279 280 288\n",
      " 290 294 295 299 301 318 325 340 343 376 378 380 383 385 388 399 402 406\n",
      " 429 434 435 437 442 443 450 454 455 487 489 496 497 504 507 508 511]\n",
      "image # 4100, layer # layer4.0.relu has outliers [ 12  17  21  32  33  34  39  65  72  81 123 124 138 139 140 152 165 169\n",
      " 178 179 193 196 205 223 226 227 229 234 244 248 258 277 287 294 296 307\n",
      " 309 310 322 331 346 348 352 374 375 382 402 404 405 418 435 438 442 450\n",
      " 455 457 472 477 482 485 493 497 498 501 502 508 510 511]\n",
      "image # 4115, layer # layer4.0.relu has outliers [  2   3   6  19  23  24  33  34  35  37  49  62  70  72  81  85  92  95\n",
      " 119 120 127 135 144 146 151 165 177 182 197 198 201 213 222 228 244 251\n",
      " 258 262 299 301 303 311 314 315 322 335 336 351 357 358 382 383 386 393\n",
      " 401 407 409 412 417 430 434 439 458 461 477 506 507 509]\n",
      "image # 4256, layer # layer4.0.relu has outliers [  7   9  15  24  31  34  38  40  42  44  48  51  52  60  74  80  95  99\n",
      " 103 123 124 129 134 138 140 149 159 161 162 165 167 171 180 182 197 217\n",
      " 219 225 226 236 246 251 254 257 274 276 277 280 281 288 297 299 301 308\n",
      " 311 313 314 315 321 341 349 365 376 377 385 389 393 396 397 400 411 415\n",
      " 426 428 431 432 449 453 467 468 473 482 489 492 497]\n",
      "image # 4317, layer # layer4.0.relu has outliers [  1   3   6  10  14  21  28  29  33  34  39  46  57  61  71  72  73  76\n",
      "  85  87  93  99 109 111 115 124 134 135 138 143 155 165 170 181 182 183\n",
      " 192 197 199 201 208 220 222 227 262 288 289 300 314 321 336 348 353 357\n",
      " 358 362 364 371 373 375 393 396 402 404 405 408 412 422 425 430 436 441\n",
      " 443 454 457 462 472 489 496 500 506 507 509]\n",
      "image # 4342, layer # layer4.0.relu has outliers [ 12  17  34  37  39  58  59  65  77  84  91  95 102 109 133 139 140 147\n",
      " 152 153 159 165 170 171 176 180 182 184 187 193 205 210 212 216 219 227\n",
      " 232 236 256 261 288 295 296 297 301 313 317 321 325 343 352 354 365 381\n",
      " 382 385 393 396 406 415 424 428 432 434 444 451 455 469 473 479 481 485\n",
      " 508]\n",
      "image # 4374, layer # layer4.0.relu has outliers [ 13  16  21  25  29  37  39  43  49  54  65  80  85  89  93  99 100 102\n",
      " 103 107 132 133 139 140 150 181 193 197 201 202 205 223 245 247 248 251\n",
      " 255 261 275 296 307 310 339 352 353 355 362 381 396 409 423 424 425 428\n",
      " 444 448 450 457 459 470 489 507 510]\n",
      "image # 4388, layer # layer4.0.relu has outliers [  1   3  12  34  42  45  57  76  80  83  85  87 102 110 124 129 134 138\n",
      " 139 148 152 154 155 159 160 161 165 178 179 180 181 187 197 198 205 211\n",
      " 219 232 250 261 262 278 280 296 300 309 321 326 331 352 354 377 380 388\n",
      " 393 396 399 403 404 405 414 420 425 430 434 437 449 455 482 496 497 501\n",
      " 504 507]\n",
      "image # 4392, layer # layer4.0.relu has outliers [ 19  21  28  34  56  57  60  70  72  85  93  95 101 109 123 125 131 134\n",
      " 135 137 140 142 150 151 170 178 179 188 193 199 201 202 213 216 217 224\n",
      " 226 227 229 232 251 255 277 278 289 290 297 299 308 310 315 321 335 336\n",
      " 343 344 345 346 359 371 373 376 378 382 383 386 389 396 399 404 415 432\n",
      " 434 439 441 442 452 455 476 478 482 484 485 497]\n",
      "image # 4452, layer # layer4.0.relu has outliers [  0   6  13  18  24  27  33  36  40  41  45  48  49  51  63  66  82  85\n",
      "  87  89  92  98 106 111 119 132 139 141 149 155 177 201 211 222 225 232\n",
      " 246 267 274 275 278 299 300 313 317 328 336 340 352 353 354 355 362 364\n",
      " 375 385 396 401 406 410 425 434 437 444 452 462 464 474 477 489 497 500\n",
      " 503]\n",
      "image # 4484, layer # layer4.0.relu has outliers [  7  19  32  37  38  43  44  48  49  54  87  89  90 100 106 111 116 129\n",
      " 134 138 151 157 161 179 189 192 199 201 202 204 205 212 220 225 226 238\n",
      " 239 255 267 276 299 312 317 341 353 355 360 375 385 386 389 393 396 405\n",
      " 411 415 437 438 458 461 489 491 492]\n",
      "image # 4509, layer # layer4.0.relu has outliers [  3   5  13  19  21  34  47  55  59  61  64  65  72  76 102 104 109 121\n",
      " 137 140 147 150 151 152 165 177 179 182 184 193 201 202 212 216 223 227\n",
      " 232 250 251 268 277 302 311 314 317 325 347 348 356 358 378 381 389 404\n",
      " 405 424 428 430 432 434 442 443 444 457 476 487 497 507 510]\n",
      "image # 4564, layer # layer4.0.relu has outliers [  5  13  34  45  48  50  55  85  91  93 103 126 133 139 140 147 150 156\n",
      " 167 173 176 178 181 188 193 202 207 210 213 215 217 232 236 243 261 262\n",
      " 268 281 290 301 304 316 318 319 324 334 336 343 349 351 352 367 381 393\n",
      " 396 399 405 407 409 415 428 432 434 442 448 475 476 481 487 490 510 511]\n",
      "image # 4804, layer # layer4.0.relu has outliers [  1  10  13  15  25  33  34  44  46  47  50  64  72 101 119 121 126 132\n",
      " 134 138 161 165 169 172 179 184 194 195 199 210 211 219 227 230 274 276\n",
      " 278 279 288 289 300 303 307 313 322 324 325 340 345 347 359 371 375 389\n",
      " 393 396 399 428 429 430 435 438 441 457 473 482 489 491 496 507 509 510]\n",
      "image # 4833, layer # layer4.0.relu has outliers [  1   3  10  13  25  34  37  43  48  49  50  53  54  57  65  70  81  88\n",
      " 111 118 129 140 142 157 159 164 165 173 179 181 192 201 202 222 223 245\n",
      " 247 255 258 275 278 300 304 314 315 338 353 358 359 380 381 383 385 386\n",
      " 393 399 403 406 407 409 418 437 438 440 444 450 470 475 482 489 491 501\n",
      " 502 503 507]\n",
      "image # 4896, layer # layer4.0.relu has outliers [  1  13  16  34  42  46  57  61  75  76  83  92  93 102 106 107 126 139\n",
      " 140 145 147 152 154 155 161 165 186 196 199 205 208 213 223 227 229 231\n",
      " 236 240 247 251 259 261 262 270 271 276 278 280 281 300 313 318 324 325\n",
      " 330 352 354 358 359 361 364 367 371 378 388 393 396 402 405 425 434 437\n",
      " 442 450 454 468 472 473 475 482 485 489 491 492 502 503 507 510]\n",
      "image # 4933, layer # layer4.0.relu has outliers [ 18  21  22  25  39  40  53  59  63  67  73  80  84  89  92  94  95 102\n",
      " 106 116 129 136 149 152 154 155 159 167 169 171 184 189 204 207 223 232\n",
      " 244 246 252 275 277 290 296 300 307 317 334 336 343 354 378 383 385 386\n",
      " 393 395 402 418 419 424 435 439 450 452 468 478 497 501]\n",
      "image # 5018, layer # layer4.0.relu has outliers [  0   3  31  34  39  51  57  58  60  75  80  91  95 105 119 120 132 133\n",
      " 139 142 144 154 155 159 160 167 170 171 176 180 181 182 183 185 186 197\n",
      " 216 217 220 222 226 228 235 237 252 253 256 288 297 300 305 307 311 334\n",
      " 340 343 345 358 359 376 382 385 388 396 405 406 410 412 414 420 423 434\n",
      " 438 457 459 468 479 480 495 497 506]\n",
      "image # 5049, layer # layer4.0.relu has outliers [  2   5  11  20  39  40  47  54  60  61  68  80  83  93  99 100 109 121\n",
      " 122 126 135 151 152 154 155 165 172 179 201 203 215 224 231 233 238 239\n",
      " 244 245 248 250 252 253 257 273 278 314 325 327 336 337 339 356 364 373\n",
      " 376 380 381 382 388 389 401 404 409 418 421 425 427 436 437 438 439 443\n",
      " 450 474 475 482 500 507 509]\n",
      "image # 5193, layer # layer4.0.relu has outliers [  0  14  19  23  24  26  33  34  41  49  57  70  72  84  85 112 114 115\n",
      " 116 121 128 131 135 150 156 168 181 189 192 205 207 210 222 232 243 251\n",
      " 261 278 289 318 332 335 336 340 355 358 362 373 375 376 381 383 399 402\n",
      " 404 407 415 420 422 424 435 440 442 456 458 461 467 472 476 484 485 487\n",
      " 489 490 501 506 507]\n",
      "image # 5244, layer # layer4.0.relu has outliers [ 25  34  61  76  77  83 101 105 109 111 126 132 138 139 140 145 151 167\n",
      " 169 182 184 186 187 193 198 199 203 206 216 219 240 251 255 256 260 273\n",
      " 278 280 301 307 309 313 314 315 325 340 347 352 377 385 388 393 396 402\n",
      " 405 408 432 433 446 454 473 475 482 492 497 510]\n",
      "image # 5434, layer # layer4.0.relu has outliers [  1   2  10  13  33  37  40  44 102 108 111 124 129 130 131 132 134 138\n",
      " 140 143 151 165 168 170 172 179 192 197 202 214 222 245 255 262 269 274\n",
      " 278 288 314 317 320 328 333 338 348 358 365 375 386 393 396 399 402 405\n",
      " 413 416 423 425 438 439 440 441 444 470 496 507]\n",
      "image # 5518, layer # layer4.0.relu has outliers [ 13  25  28  32  37  43  50  57  63  73  81  84  89 111 113 129 144 154\n",
      " 170 171 181 186 188 192 195 211 214 217 222 231 253 255 258 262 267 268\n",
      " 282 292 293 296 310 320 329 338 347 353 362 387 393 396 409 413 437 449\n",
      " 456 464 470 482 488 491 500 504 506]\n",
      "image # 5533, layer # layer4.0.relu has outliers [  7  13  16  25  34  37  45  46  47  48  58  83  86  89  95 102 112 114\n",
      " 119 126 128 132 140 167 181 201 212 219 222 236 237 240 246 247 251 262\n",
      " 270 275 276 279 281 285 304 307 313 314 318 324 343 354 364 375 377 378\n",
      " 382 389 393 396 399 428 432 434 442 447 469 473 481 487 489 501 502 504\n",
      " 509 510]\n",
      "image # 5576, layer # layer4.0.relu has outliers [ 16  25  34  36  45  57  62 110 115 126 139 140 143 147 148 154 169 170\n",
      " 172 180 184 187 188 193 206 208 211 216 217 219 226 251 259 262 266 267\n",
      " 271 273 278 280 283 291 301 313 316 318 324 325 347 354 358 364 377 381\n",
      " 388 396 405 422 428 432 437 442 447 448 450 451 454 468 469 473 481 489\n",
      " 497 502 507 510]\n",
      "image # 5611, layer # layer4.0.relu has outliers [  7  18  38  45  54  55  58  65  66  83  85  92  94 114 127 132 133 142\n",
      " 147 156 163 167 176 178 181 186 217 227 235 243 245 256 258 275 278 294\n",
      " 307 314 326 331 343 354 355 358 374 382 393 394 399 408 415 418 437 438\n",
      " 450 451 457 470 480 491 492 496 501 507 511]\n",
      "image # 5633, layer # layer4.0.relu has outliers [  3   4  11  18  24  37  42  63  72  80  84  95  99 102 109 118 121 126\n",
      " 135 146 151 157 159 160 165 178 179 187 189 193 194 198 199 203 206 210\n",
      " 216 217 219 232 233 253 259 260 261 262 273 280 288 296 299 302 307 325\n",
      " 326 346 347 348 371 378 383 386 395 396 402 404 422 424 425 428 434 448\n",
      " 450 472 478 482 485 497 498 500 507 509 510]\n",
      "image # 5727, layer # layer4.0.relu has outliers [  1   3   9  14  16  33  34  35  49  58  64  76  85  99 102 109 124 125\n",
      " 132 134 138 140 151 154 155 157 165 170 179 181 185 192 194 197 199 201\n",
      " 206 208 216 224 226 233 246 255 262 263 278 280 288 303 324 362 371 376\n",
      " 378 380 394 396 402 404 406 425 427 432 442 443 482 485 507 508 509 510]\n",
      "image # 5805, layer # layer4.0.relu has outliers [ 13  25  28  32  33  37  43  46  50  57  59  63  68  99 100 101 103 107\n",
      " 108 111 123 135 141 144 151 154 157 163 165 170 179 190 192 194 201 202\n",
      " 204 215 219 222 223 229 231 239 245 255 262 278 303 314 333 334 348 359\n",
      " 365 375 376 381 390 391 393 396 402 403 409 413 415 425 439 444 449 457\n",
      " 458 465 470 475 482 507]\n",
      "image # 5820, layer # layer4.0.relu has outliers [  1  10  25  37  40  44  47  57  63  84  99 100 101 102 103 107 111 131\n",
      " 132 138 139 144 150 170 172 179 192 193 197 204 212 217 224 230 231 233\n",
      " 248 251 255 262 269 275 296 302 303 311 314 334 339 354 371 374 380 385\n",
      " 393 396 404 405 422 425 428 429 438 444 459 467 470 507]\n",
      "image # 5902, layer # layer4.0.relu has outliers [ 18  25  40  64  80  87  89  91  94 101 102 104 106 109 112 132 133 139\n",
      " 152 154 155 161 169 179 185 189 193 194 197 210 211 219 226 232 261 266\n",
      " 278 280 281 283 285 289 294 296 300 306 307 325 339 342 345 346 352 354\n",
      " 359 370 378 388 396 404 410 424 435 437 438 449 450 454 465 468 471 478\n",
      " 482 497 510]\n",
      "image # 5988, layer # layer4.0.relu has outliers [  1   3  13  29  33  34  37  39  57  64  68  76  83  85  99 108 115 119\n",
      " 123 134 135 140 143 148 151 154 156 165 169 170 172 178 179 193 194 198\n",
      " 199 201 202 206 208 219 222 227 240 250 262 278 279 280 300 314 315 325\n",
      " 331 346 358 371 374 375 382 396 399 402 404 425 428 430 434 437 438 441\n",
      " 456 457 474 475 478 487 496 497 507 509 510]\n",
      "image # 6046, layer # layer4.0.relu has outliers [  3   9  15  18  37  44  45  54  58  65  66  69  76  83  85  87  92  94\n",
      "  95 114 118 119 134 138 139 147 161 165 167 178 179 180 181 184 201 205\n",
      " 223 226 232 243 250 261 275 280 281 285 299 307 309 324 325 345 352 353\n",
      " 354 375 385 393 396 418 422 424 425 428 435 440 449 455 458 468 487 489\n",
      " 496 501 503 510]\n",
      "image # 6114, layer # layer4.0.relu has outliers [  2   7  25  29  32  46  48  58  95 102 106 111 116 118 129 133 136 139\n",
      " 141 147 167 173 176 186 191 205 231 232 243 267 270 271 276 281 290 293\n",
      " 301 313 316 317 318 324 330 340 352 353 377 378 391 398 399 400 411 415\n",
      " 423 434 435 437 442 455 459 471 486 504]\n",
      "image # 6237, layer # layer4.0.relu has outliers [  7  34  36  39  55  56  57  60  74 103 133 139 155 165 169 176 178 185\n",
      " 186 188 191 200 210 212 219 224 226 229 236 239 243 252 253 257 261 285\n",
      " 299 300 313 314 318 321 322 336 343 354 361 376 377 381 385 393 396 400\n",
      " 434 442 443 473 474 481 498 502 508]\n",
      "image # 6249, layer # layer4.0.relu has outliers [  4  11  19  21  28  34  42  44  57  68  84  85  88  93 102 104 108 126\n",
      " 143 147 151 152 153 159 169 171 178 179 182 187 189 194 197 203 206 207\n",
      " 211 215 217 227 243 246 251 259 260 300 303 306 308 311 321 339 341 345\n",
      " 351 354 372 373 374 377 378 385 386 402 406 407 408 409 424 430 431 432\n",
      " 438 441 442 449 457 485 497 510]\n",
      "image # 6285, layer # layer4.0.relu has outliers [  3  10  19  34  39  56  57  59  70  71  74  77  91 102 104 111 133 135\n",
      " 139 140 142 146 169 171 177 179 186 192 197 203 205 210 216 223 225 228\n",
      " 229 243 245 251 252 254 256 261 276 290 299 300 301 311 315 321 336 338\n",
      " 340 346 352 359 363 372 373 374 376 385 388 393 396 397 409 412 423 430\n",
      " 434 454 455 457 476 479 480 482 485]\n",
      "image # 6346, layer # layer4.0.relu has outliers [  0   1   4  13  21  33  34  39  40  47  50  57  60  68  85  88  96  99\n",
      " 103 111 115 126 128 132 135 140 150 156 159 168 170 172 179 181 201 203\n",
      " 211 222 223 224 227 232 268 282 313 314 317 346 351 353 381 383 385 394\n",
      " 396 399 406 415 428 431 432 434 441 451 474 475 487 500 507 508]\n",
      "image # 6426, layer # layer4.0.relu has outliers [  1  13  24  33  34  40  42  46  59  61  64  73  83 101 102 103 107 116\n",
      " 124 126 134 151 152 154 156 161 167 169 172 177 184 191 192 210 211 216\n",
      " 224 227 229 243 246 253 256 262 267 278 283 288 289 300 301 307 314 317\n",
      " 325 326 331 336 340 348 367 376 383 389 396 402 405 407 408 416 425 434\n",
      " 435 437 448 450 454 471 482 497 507]\n",
      "image # 6436, layer # layer4.0.relu has outliers [  9  11  17  18  36  40  45  52  63  64  65  66  80  91  92  94 102 107\n",
      " 109 139 152 154 155 165 167 169 186 187 191 193 204 211 216 226 227 235\n",
      " 246 251 262 266 270 275 280 283 294 307 308 313 317 318 322 324 334 340\n",
      " 342 343 348 352 354 368 371 378 380 388 393 396 404 415 433 435 442 450\n",
      " 451 452 455 468 469 473 478 484 495 497 509 510]\n",
      "image # 6499, layer # layer4.0.relu has outliers [  6  11  14  28  41  51  52  66  73  83  85  87  93 102 104 113 126 129\n",
      " 134 138 139 143 155 161 165 168 173 197 201 208 211 213 220 226 230 231\n",
      " 251 262 267 274 280 281 288 300 303 311 322 324 334 336 340 348 352 353\n",
      " 354 364 367 378 383 393 399 402 405 408 424 430 435 449 454 457 458 471\n",
      " 491 496 497 504]\n",
      "image # 6513, layer # layer4.0.relu has outliers [  1   3  10  33  40  44  47  49  63  82  85  99 102 108 119 124 125 126\n",
      " 134 138 165 170 179 181 185 192 197 199 201 217 219 231 233 253 255 259\n",
      " 274 278 288 302 303 307 314 325 339 348 358 360 371 375 380 384 386 393\n",
      " 396 399 402 405 406 422 427 430 438 441 444 457 489 496 500 507]\n",
      "image # 6614, layer # layer4.0.relu has outliers [  0   3  10  13  21  33  37  44  46  49  68  79  80  82  83  85  87  89\n",
      " 100 119 124 127 132 138 140 143 151 154 161 165 170 179 192 195 197 201\n",
      " 202 222 248 250 259 267 274 275 279 288 314 315 322 328 353 355 364 373\n",
      " 389 393 399 403 407 423 430 435 440 443 444 454 470 474 509 510]\n",
      "image # 6747, layer # layer4.0.relu has outliers [ 13  37  48  49  57  61  68  72  87  88  89  99 100 104 107 124 127 151\n",
      " 155 161 165 166 170 175 177 179 183 192 197 201 202 213 217 229 230 248\n",
      " 250 268 275 280 287 314 315 328 339 341 355 358 364 369 374 380 389 390\n",
      " 392 393 399 405 411 425 427 430 437 440 443 444 456 457 470 475 482 491\n",
      " 498 504 507]\n",
      "image # 6824, layer # layer4.0.relu has outliers [ 10  13  25  37  44  47  63  68  80  84  85  87 101 103 111 137 139 143\n",
      " 151 154 165 167 177 179 181 190 192 194 195 197 204 211 212 216 217 219\n",
      " 223 233 239 246 259 262 268 274 288 307 315 325 341 342 349 353 360 362\n",
      " 370 375 390 396 399 401 406 415 423 425 441 444 448 449 459 470 482 484\n",
      " 488 491]\n",
      "image # 6908, layer # layer4.0.relu has outliers [  1   7  10  13  32  34  44  48  54  76  87  89 103 105 109 123 124 132\n",
      " 135 138 140 151 154 155 161 165 169 172 177 184 187 188 202 205 206 226\n",
      " 229 235 240 246 250 262 263 270 272 276 278 279 280 281 285 288 289 306\n",
      " 307 314 315 320 327 328 339 359 372 375 378 388 393 396 399 401 417 425\n",
      " 435 450 454 466 475 482 492 498 507]\n",
      "image # 6931, layer # layer4.0.relu has outliers [  4  11  13  21  25  35  37  39  40  43  47  57  63  77  80  85 101 103\n",
      " 107 137 138 139 143 150 154 165 179 192 193 197 203 204 216 217 222 231\n",
      " 251 253 255 259 262 277 288 303 311 316 339 349 359 360 365 371 376 384\n",
      " 388 393 396 406 423 425 428 429 436 441 444 448 449 454 457 466 472 482]\n",
      "image # 6972, layer # layer4.0.relu has outliers [ 10  18  32  34  42  46  79 101 102 106 114 155 161 169 171 192 219 231\n",
      " 239 240 252 255 262 267 273 274 276 281 282 288 299 300 307 314 330 341\n",
      " 377 386 393 396 397 399 433 481 482]\n",
      "image # 6974, layer # layer4.0.relu has outliers [  6   9  25  28  41  44  45  46  57  76  82  87  95 102 109 110 132 134\n",
      " 138 161 170 181 192 197 199 211 212 214 226 243 259 261 267 274 275 276\n",
      " 278 300 303 311 331 334 335 354 362 364 377 386 390 396 402 404 408 413\n",
      " 414 422 425 430 437 449 454 457 458 468 474 491 496 497 504 506]\n",
      "image # 7114, layer # layer4.0.relu has outliers [  3  17  19  33  38  44  49  63  64  66  68  72  73  81  82  87 109 111\n",
      " 119 124 134 137 143 165 168 170 179 181 182 185 189 191 201 202 211 222\n",
      " 230 232 233 251 262 268 288 299 306 308 317 335 351 353 354 357 358 360\n",
      " 362 371 375 386 396 404 407 413 425 427 428 435 437 438 444 450 452 456\n",
      " 462 470 478 491 496 510 511]\n",
      "image # 7232, layer # layer4.0.relu has outliers [  3  10  18  25  26  40  47  52  55  76  91 122 124 125 131 133 139 140\n",
      " 142 145 154 169 170 171 174 180 184 185 186 191 193 197 203 206 210 211\n",
      " 216 223 224 226 251 275 277 281 291 300 303 307 346 349 350 352 354 374\n",
      " 377 380 396 408 410 412 423 432 451 457 468 481 484 485 497 501 508]\n",
      "image # 7243, layer # layer4.0.relu has outliers [ 11  17  21  32  34  39  43  45  56  57  59  60  70  72  80  81  85 103\n",
      " 109 115 119 121 124 137 139 140 144 152 154 167 173 179 193 201 205 213\n",
      " 219 223 227 229 230 231 232 236 250 251 256 260 262 263 303 305 309 311\n",
      " 314 315 318 321 325 334 340 352 360 374 382 386 393 397 405 406 407 409\n",
      " 415 428 438 444 452 457 476 491 510]\n",
      "image # 7310, layer # layer4.0.relu has outliers [ 15  22  24  27  34  40  47  52  85 103 125 129 131 139 140 142 150 151\n",
      " 156 159 162 165 166 168 171 188 201 202 203 210 217 237 252 269 277 278\n",
      " 288 300 302 305 315 334 387 392 399 401 403 412 418 420 425 428 429 439\n",
      " 445 446 450 474 476 487 497 499 500]\n",
      "image # 7357, layer # layer4.0.relu has outliers [  1   5   7  25  39  44  57  68  89 101 111 129 130 135 138 157 161 165\n",
      " 170 192 197 211 212 213 223 231 239 246 255 262 267 274 276 300 311 314\n",
      " 315 316 328 335 341 353 362 381 389 393 396 405 407 421 434 437 439 440\n",
      " 441 470 475 482 500 507]\n",
      "image # 7370, layer # layer4.0.relu has outliers [  0   1   7  16  21  33  34  39  48  54  60  66  68  76  83 102 108 111\n",
      " 119 126 127 128 134 135 138 140 147 165 198 199 201 202 213 217 219 227\n",
      " 229 230 235 240 250 257 279 280 288 294 299 307 314 315 325 331 340 347\n",
      " 355 376 380 389 395 399 401 402 405 414 434 436 437 442 447 450 457 458\n",
      " 469 475 487 489 497 501 507 510]\n",
      "image # 7385, layer # layer4.0.relu has outliers [  3  21  25  37  39  55  59  60  65  70  72  76  83  85  89  92  95 100\n",
      " 101 102 103 111 119 132 133 138 147 150 152 155 165 177 178 179 180 185\n",
      " 193 206 207 210 211 223 229 232 250 251 258 261 263 268 278 299 300 307\n",
      " 311 352 355 357 380 382 383 385 393 396 399 404 408 409 415 418 424 430\n",
      " 434 439 444 450 457 458 475 489 497 510]\n",
      "image # 7416, layer # layer4.0.relu has outliers [  1   3   6  11  14  19  26  35  41  46  66  83  84 102 109 115 118 125\n",
      " 126 133 134 139 140 152 154 161 186 191 201 206 211 216 223 224 232 235\n",
      " 243 256 261 262 281 283 290 299 300 313 318 324 343 346 351 352 354 368\n",
      " 376 377 378 382 393 396 402 408 415 433 435 442 455 487 496 497 508 511]\n",
      "image # 7494, layer # layer4.0.relu has outliers [ 13  15  18  34  39  41  46  57  58  65  75  83  85 102 126 132 133 134\n",
      " 138 139 140 150 152 155 161 165 167 173 182 186 219 223 227 232 243 246\n",
      " 254 256 259 261 262 280 300 307 314 318 321 325 326 354 363 364 367 377\n",
      " 378 382 388 393 402 406 414 428 434 450 455 468 476 487 489 508 510]\n",
      "image # 7504, layer # layer4.0.relu has outliers [  3  10  13  19  25  34  37  39  43  47  49  61  63  72  82  83  85  93\n",
      "  99 106 107 108 111 139 140 143 145 151 164 179 190 192 193 194 195 197\n",
      " 204 223 233 236 251 255 262 275 280 307 315 325 328 347 353 358 359 360\n",
      " 371 380 396 399 406 407 409 418 425 444 457 482 489 491]\n",
      "image # 7515, layer # layer4.0.relu has outliers [  5  17  21  25  28  30  33  38  40  46  52  60  68  73  76  83  89  93\n",
      " 100 102 104 129 134 143 159 169 178 186 191 194 203 204 205 207 210 215\n",
      " 222 226 227 243 246 263 266 276 281 283 289 290 303 307 311 313 314 321\n",
      " 324 325 336 362 367 377 393 396 399 400 402 408 422 424 428 432 434 448\n",
      " 456 458]\n",
      "image # 7659, layer # layer4.0.relu has outliers [  3   8  25  28  37  40  46  49  52  57  82  85  87  99 101 102 109 124\n",
      " 125 132 134 138 141 144 150 151 154 155 165 168 170 179 192 194 201 203\n",
      " 212 220 222 224 235 251 253 255 269 274 288 296 300 303 334 341 358 362\n",
      " 365 370 375 380 393 396 399 400 402 410 425 429 441 449 454 457 461 462\n",
      " 470 474 496 497 504]\n",
      "image # 7725, layer # layer4.0.relu has outliers [  1   6  14  38  65  70  82  85  91  95  96  97 105 109 110 118 120 134\n",
      " 146 147 154 155 165 175 178 180 181 189 195 201 202 220 232 234 237 258\n",
      " 278 282 294 300 313 321 324 343 345 346 351 353 354 356 383 387 389 395\n",
      " 399 403 408 412 415 427 430 434 446 457 473 474 479 480 484 487 491 500\n",
      " 506 507 510]\n",
      "image # 7781, layer # layer4.0.relu has outliers [  5  17  24  31  33  44  46  52  60  68  70  74  75  76  77  79  91  93\n",
      " 101 116 122 123 125 142 146 149 156 167 170 171 182 184 194 196 210 218\n",
      " 219 220 225 226 228 235 251 252 254 274 276 278 285 311 312 316 321 327\n",
      " 328 335 357 360 367 370 371 376 377 391 394 397 400 405 408 423 432 461\n",
      " 484]\n",
      "image # 7828, layer # layer4.0.relu has outliers [  1  10  13  16  33  34  39  40  47  54  76  80  93  95  99 101 102 103\n",
      " 110 126 134 138 140 143 147 152 153 154 161 164 179 197 201 212 219 231\n",
      " 233 235 236 240 255 261 262 276 278 288 300 303 314 315 325 347 356 362\n",
      " 365 370 373 378 388 393 396 399 402 405 425 428 432 447 449 450 472 473\n",
      " 475 481 482 497 500 507]\n",
      "image # 7915, layer # layer4.0.relu has outliers [  1   3   5  21  32  33  34  39  40  47  57  59  65  76  95 103 107 115\n",
      " 122 126 133 135 142 145 147 150 152 154 155 158 165 187 193 202 205 213\n",
      " 227 231 236 237 250 251 252 262 263 290 295 299 309 311 314 321 334 336\n",
      " 343 359 363 365 380 382 385 388 393 396 402 405 406 424 428 432 444 469\n",
      " 475 481 482]\n",
      "image # 7933, layer # layer4.0.relu has outliers [ 10  13  33  37  47  48  50  58  72  84 109 111 112 116 119 121 122 139\n",
      " 145 147 152 165 169 180 189 192 194 210 216 226 227 243 255 263 278 280\n",
      " 299 303 304 307 317 324 325 347 348 353 359 369 386 393 394 396 404 405\n",
      " 406 415 424 434 444 476 484 489 507]\n",
      "image # 7969, layer # layer4.0.relu has outliers [  1   3  15  24  37  49  59  65  66  76  85  92 101 104 105 106 119 133\n",
      " 139 140 147 154 157 160 161 169 179 180 181 192 197 198 199 206 208 213\n",
      " 216 219 226 232 235 237 255 261 275 281 285 288 299 300 303 314 318 325\n",
      " 346 348 352 354 358 371 375 376 382 404 405 408 410 424 433 435 442 454\n",
      " 455 468 482 485 487 489 492 496 497 503 507]\n",
      "image # 8081, layer # layer4.0.relu has outliers [  7  34  37  43  47  49  57  58  61  68  85  87  95 101 102 107 108 126\n",
      " 135 140 143 147 155 161 164 166 170 179 180 181 182 183 192 193 197 201\n",
      " 202 205 213 226 230 231 250 253 255 280 288 299 300 303 314 345 347 348\n",
      " 358 362 373 374 378 386 388 389 390 393 394 396 402 404 405 406 407 414\n",
      " 425 441 447 450 456 457 466 472 475 482]\n",
      "image # 8135, layer # layer4.0.relu has outliers [  6  13  25  28  44  54  64  65  80  84 104 109 114 118 121 126 133 138\n",
      " 150 152 154 159 165 169 178 182 184 193 195 210 214 217 226 232 234 237\n",
      " 241 261 273 278 280 285 294 300 309 319 321 325 326 331 349 373 382 387\n",
      " 388 390 393 396 406 420 424 427 434 438 445 446 449 454 455 456 459 468\n",
      " 475 478 483 488 506 507 510]\n",
      "image # 8138, layer # layer4.0.relu has outliers [  1  16  18  33  34  48  49  50  65  68  73  82  83  89  95 102 103 109\n",
      " 111 114 128 129 132 138 144 150 154 155 158 165 167 168 170 192 197 201\n",
      " 202 205 214 220 222 227 231 245 246 247 250 252 262 276 278 281 290 292\n",
      " 293 300 316 328 333 334 353 354 355 361 362 363 365 378 381 388 393 394\n",
      " 399 403 407 418 431 434 437 448 453 504 507 510]\n",
      "image # 8161, layer # layer4.0.relu has outliers [  1   2  12  14  24  28  34  41  59  66  71  81  83  95 104 105 111 134\n",
      " 140 154 155 156 165 188 198 201 202 205 227 228 229 237 257 274 278 280\n",
      " 288 290 294 300 311 315 321 324 334 337 340 353 356 360 367 376 377 383\n",
      " 390 399 401 402 408 411 423 429 438 439 445 450 455 471 479 491 497 506\n",
      " 507]\n",
      "image # 8174, layer # layer4.0.relu has outliers [  1   7  13  28  33  34  39  44  46  49  50  68  83  99 103 104 109 119\n",
      " 128 134 135 138 144 151 157 161 163 170 181 188 202 213 219 225 226 229\n",
      " 246 249 262 272 276 280 288 290 301 315 321 334 336 345 349 353 360 362\n",
      " 365 372 376 381 389 391 393 396 397 399 400 417 425 431 434 440 453 454\n",
      " 458 471 476 507]\n",
      "image # 8253, layer # layer4.0.relu has outliers [  7  18  33  34  41  46  50  54  60  64  75  83  86  93 102 103 114 115\n",
      " 122 126 128 138 167 169 181 182 206 210 214 215 226 230 243 246 249 250\n",
      " 252 254 262 276 278 281 288 290 300 301 303 306 308 321 322 336 340 354\n",
      " 361 364 367 372 373 376 377 378 388 389 393 396 399 402 406 428 431 435\n",
      " 438 442 448 457 458 468 481 487 489 502 510]\n",
      "image # 8273, layer # layer4.0.relu has outliers [  2   3  13  25  33  37  39  43  49  60  62  82  89  95  99 100 101 102\n",
      " 111 131 138 139 151 154 155 165 166 170 177 181 192 201 202 212 213 215\n",
      " 223 231 237 239 259 262 268 292 314 315 316 328 341 347 355 358 381 383\n",
      " 385 390 393 396 401 415 423 441 444 453 470 475 491 500 509]\n",
      "image # 8342, layer # layer4.0.relu has outliers [  1  11  12  13  37  54  61  69  72  89  95 109 119 134 135 140 147 148\n",
      " 151 154 161 166 178 179 180 181 187 192 197 199 205 213 219 226 237 250\n",
      " 261 262 267 273 279 280 285 288 309 324 331 347 359 362 365 371 373 376\n",
      " 382 386 394 395 396 401 405 410 412 424 425 430 434 437 438 450 455 473\n",
      " 478 480 482 487 489 500 507 509 510]\n",
      "image # 8353, layer # layer4.0.relu has outliers [  1  10  13  14  33  34  35  39  57  76  83  93  95 101 102 104 109 111\n",
      " 132 138 140 153 154 155 165 169 170 172 211 217 220 224 227 229 231 240\n",
      " 242 262 269 272 278 288 290 292 300 303 307 313 314 325 334 336 365 371\n",
      " 388 391 393 396 399 402 404 405 429 437 438 449 450 453 471 472 475 496\n",
      " 497 507]\n",
      "image # 8358, layer # layer4.0.relu has outliers [  5  10  18  25  37  39  40  58  59  60  65  76  91  95 102 104 106 116\n",
      " 124 132 134 139 152 154 167 169 170 181 191 192 205 206 207 210 212 219\n",
      " 220 223 224 226 232 236 251 252 253 256 261 262 275 276 281 288 289 296\n",
      " 300 303 307 317 318 334 336 343 352 354 377 378 385 393 396 402 408 409\n",
      " 415 422 434 450 457 459 468 471 485 497 508]\n",
      "image # 8372, layer # layer4.0.relu has outliers [  9  13  31  34  39  40  44  54  65  66  73  81  89  99 101 102 107 138\n",
      " 147 154 155 161 170 174 181 202 205 213 216 219 225 227 231 233 249 250\n",
      " 252 258 261 262 272 274 276 278 300 306 317 321 325 328 331 334 336 337\n",
      " 353 358 359 371 375 383 389 390 393 396 399 418 425 427 434 438 441 445\n",
      " 450 455 470 475 482 491 496 500 507]\n",
      "image # 8535, layer # layer4.0.relu has outliers [  1  12  13  33  34  37  44  46  76  83  85  95 101 104 111 124 126 134\n",
      " 138 139 140 143 154 161 165 170 172 180 182 194 197 199 205 229 240 250\n",
      " 262 274 278 280 282 288 300 311 314 321 324 325 330 331 347 353 364 373\n",
      " 377 381 382 383 388 391 399 404 405 412 425 430 448 450 457 475 480 482\n",
      " 507]\n",
      "image # 8544, layer # layer4.0.relu has outliers [  1   2  13  33  34  37  39  46  49  57  66  72  76  83  85  89  93  95\n",
      "  99 102 104 119 121 134 135 138 156 157 164 165 166 170 179 181 189 193\n",
      " 197 205 213 226 231 233 245 249 255 275 278 280 288 303 314 317 332 355\n",
      " 360 367 371 380 386 390 401 404 405 414 425 430 438 470 474 475 489 496\n",
      " 500 507 510]\n",
      "image # 8612, layer # layer4.0.relu has outliers [  9  25  39  40  44  63  68  84  87  89  99 100 101 103 124 125 129 131\n",
      " 138 141 154 155 165 172 188 190 192 197 202 203 211 217 233 239 251 255\n",
      " 258 268 296 306 311 341 347 353 360 370 371 383 390 393 396 399 415 425\n",
      " 430 443 444 446 449 459 470 471 482 488 496 506]\n",
      "image # 8717, layer # layer4.0.relu has outliers [  1   6  14  19  21  25  26  34  37  64  65  83  96 102 114 116 120 126\n",
      " 128 129 132 133 150 152 154 165 168 174 178 186 191 201 216 217 227 232\n",
      " 251 256 275 277 278 281 283 288 293 294 307 308 313 317 334 335 340 343\n",
      " 352 354 377 378 380 383 392 393 399 402 408 415 420 427 428 429 433 442\n",
      " 450 455 496 497 506 508 510]\n",
      "image # 8755, layer # layer4.0.relu has outliers [  0   1   2   3   4  37  39  43  48  49  63  66  85  88  89  92 118 127\n",
      " 133 134 135 138 147 157 164 165 166 170 179 180 181 183 192 197 201 202\n",
      " 213 214 219 231 245 247 248 249 258 267 274 278 288 304 328 329 353 362\n",
      " 375 383 385 386 389 390 393 394 401 406 410 434 440 441 443 444 458 470\n",
      " 474 489 491 496 507]\n",
      "image # 8800, layer # layer4.0.relu has outliers [  0  14  45  66  73  85  95 102 103 104 111 118 121 133 138 139 147 154\n",
      " 155 161 165 167 169 173 176 182 191 192 198 201 202 227 229 231 250 266\n",
      " 267 270 271 276 278 281 282 290 293 300 311 313 324 325 330 334 340 352\n",
      " 353 354 368 377 383 393 397 405 408 418 435 448 450 452 454 458 486 491\n",
      " 492 496 504]\n",
      "image # 8909, layer # layer4.0.relu has outliers [  9  10  13  25  44  63  66  82  84  85  89 101 102 106 111 118 134 153\n",
      " 155 165 171 181 186 188 191 192 195 197 211 220 222 231 232 235 246 262\n",
      " 267 269 274 278 288 306 328 333 341 342 349 353 355 362 372 384 386 390\n",
      " 393 396 399 401 406 411 415 423 425 444 449 459 470 489 491 497 500]\n",
      "image # 8923, layer # layer4.0.relu has outliers [ 13  25  45  48  61  66  89  92  95 102 103 104 107 110 111 114 127 128\n",
      " 129 132 133 138 154 155 165 169 177 178 181 191 201 202 207 210 226 235\n",
      " 237 240 258 261 262 270 276 278 281 293 294 300 307 314 317 325 334 340\n",
      " 352 353 376 378 389 393 399 401 402 407 408 415 434 450 468 471 473 501\n",
      " 507 509]\n",
      "image # 8930, layer # layer4.0.relu has outliers [  1   3  11  12  22  33  57  62  69  83  96  99 109 112 115 118 128 134\n",
      " 135 142 143 151 154 165 168 179 188 194 198 201 202 206 231 235 249 253\n",
      " 262 267 280 288 294 300 324 334 346 373 376 378 380 382 383 386 387 388\n",
      " 396 399 401 403 404 405 408 412 424 434 437 438 446 450 458 474 482 485\n",
      " 489 491 492 496 507 510]\n",
      "image # 8933, layer # layer4.0.relu has outliers [  3   6  28  33  34  39  49  58  72  83  85  88  89  95 100 102 104 109\n",
      " 111 121 124 126 132 135 138 140 148 155 160 166 170 177 179 182 193 194\n",
      " 195 202 250 262 274 278 279 289 290 314 321 332 353 355 357 358 362 373\n",
      " 375 381 383 391 396 414 430 437 438 441 448 457 475 482 489 496 499 507\n",
      " 509]\n",
      "image # 8996, layer # layer4.0.relu has outliers [  3   6  14  17  18  19  21  39  50  59  65  90  91  95 100 109 110 116\n",
      " 134 136 141 145 154 178 179 180 207 220 223 227 232 243 251 254 281 289\n",
      " 290 296 299 300 307 310 311 318 321 340 343 346 352 354 378 382 385 393\n",
      " 396 404 408 415 430 442 451 455 457 465 478 484 497 506 508]\n",
      "image # 9047, layer # layer4.0.relu has outliers [  1  11  19  23  29  33  34  44  46  68  83  85  95 109 119 123 126 134\n",
      " 138 140 151 152 159 167 176 178 184 199 201 218 219 222 227 243 251 252\n",
      " 253 262 280 288 297 314 315 321 336 340 360 367 376 377 379 396 399 407\n",
      " 408 409 427 428 435 441 453 460 475 476 481 491 509 510]\n",
      "image # 9111, layer # layer4.0.relu has outliers [ 12  33  34  39  45  49  54  55  56  79  85 105 115 128 133 134 135 138\n",
      " 140 155 163 181 192 197 202 205 215 222 226 230 240 243 249 272 278 279\n",
      " 280 285 287 300 301 314 324 353 355 362 364 373 376 386 389 402 408 412\n",
      " 424 434 436 440 464 473 475 479 489 492 493 504 507]\n",
      "image # 9208, layer # layer4.0.relu has outliers [  1  13  29  32  33  37  43  48  49  87  95  99 101 102 107 111 140 144\n",
      " 151 155 163 164 165 166 170 182 192 197 201 202 208 220 222 230 231 237\n",
      " 248 251 255 274 288 300 301 302 314 315 320 333 347 351 353 355 357 380\n",
      " 389 393 399 403 407 420 425 429 430 439 444 450 453 457 470 491 496 507]\n",
      "image # 9320, layer # layer4.0.relu has outliers [  1   5  21  26  39  40  43  44  54  55  59  60  61  65  72  75  76  85\n",
      "  87 100 119 122 123 126 130 132 134 152 155 162 165 170 178 184 196 199\n",
      " 202 205 207 212 220 223 224 227 229 230 236 243 246 248 254 270 279 303\n",
      " 305 313 321 331 343 355 361 364 375 381 391 396 400 402 404 422 425 441\n",
      " 456 457 462 466 470 475 477 487 498 509 511]\n",
      "image # 9333, layer # layer4.0.relu has outliers [ 13  21  25  33  37  39  40  41  44  47  48  49  63  72  76  84  85  87\n",
      "  89  95 100 101 111 119 121 128 129 130 132 134 143 149 155 159 161 169\n",
      " 173 177 181 186 199 201 207 212 219 222 230 232 237 246 262 276 280 281\n",
      " 283 303 304 307 314 317 325 336 353 358 362 382 393 394 396 399 402 404\n",
      " 410 431 444 452 458 459 470 489 504 509]\n",
      "image # 9585, layer # layer4.0.relu has outliers [ 21  26  39  47  52  55  57  68 100 101 116 123 124 125 131 132 151 155\n",
      " 165 171 177 178 179 185 199 210 211 217 218 220 225 233 245 248 253 258\n",
      " 268 269 288 305 306 307 316 322 328 341 351 355 360 375 396 404 407 415\n",
      " 420 421 425 434 441 449 461 470 476 484 485 495 500]\n",
      "image # 9597, layer # layer4.0.relu has outliers [ 25  34  66  80  84 101 102 107 109 110 139 153 165 167 178 186 187 190\n",
      " 206 208 211 216 231 232 241 251 261 262 266 273 313 334 335 352 354 377\n",
      " 388 390 393 396 399 415 417 425 447 450 455 471 496 497]\n",
      "image # 9598, layer # layer4.0.relu has outliers [  4   7  13  18  25  27  33  38  63  68  82  89 101 121 124 132 134 140\n",
      " 155 165 167 173 178 182 186 187 188 195 197 211 217 220 251 259 262 268\n",
      " 274 278 288 289 293 315 316 331 335 341 349 350 351 353 355 357 369 372\n",
      " 373 390 393 396 399 401 425 437 441 444 447 449 476 482 491 497 500 510]\n",
      "image # 9611, layer # layer4.0.relu has outliers [  1   2   5  10  13  25  33  39  40  44  49  76 100 103 104 107 108 111\n",
      " 119 124 130 135 138 144 151 161 163 170 192 197 202 213 222 223 231 244\n",
      " 246 255 274 300 303 327 339 353 355 375 381 385 388 393 396 399 423 425\n",
      " 427 434 441 444 457 462 482 484 500 507]\n",
      "image # 9655, layer # layer4.0.relu has outliers [  1   3  12  13  25  31  34  37  42  61  62  73  77  83 102 109 120 138\n",
      " 139 140 143 146 147 151 152 154 157 165 169 172 192 193 198 202 203 208\n",
      " 223 229 237 240 251 256 262 273 275 280 295 299 301 307 318 330 340 347\n",
      " 348 350 352 359 371 376 380 381 388 393 396 415 434 450 451 453 454 475\n",
      " 479 485 491 492 497]\n",
      "image # 9716, layer # layer4.0.relu has outliers [  0   1   3  25  33  34  37  39  41  48  84  96  99 102 107 111 118 126\n",
      " 132 140 152 155 159 161 169 184 194 198 203 204 219 223 232 240 246 251\n",
      " 252 267 274 278 282 290 300 307 314 321 325 328 343 347 350 354 358 367\n",
      " 376 377 378 383 385 393 396 399 402 412 433 434 454 475 482 487 491 497\n",
      " 507]\n",
      "image # 9807, layer # layer4.0.relu has outliers [  3  13  25  26  30  39  40  43  47  48  63  77  82  95  99 100 101 103\n",
      " 106 107 124 132 140 141 145 149 164 165 167 179 180 186 192 197 211 216\n",
      " 220 222 224 233 237 255 268 269 274 277 289 296 297 307 316 317 328 341\n",
      " 342 346 351 353 354 360 370 375 385 393 396 399 407 409 410 411 423 425\n",
      " 428 444 447 449 450 457 470 474 476 482 497]\n",
      "image # 9854, layer # layer4.0.relu has outliers [  1  10  13  42  44  46  52  57  63  72  79  84  85  87 102 104 134 138\n",
      " 139 154 155 156 159 169 180 181 182 186 189 197 199 208 216 230 232 253\n",
      " 261 263 278 280 288 300 303 307 325 345 347 348 354 358 371 382 386 393\n",
      " 396 402 405 408 425 430 434 437 438 451 452 475 489 496 497 507]\n",
      "image # 9870, layer # layer4.0.relu has outliers [  1  13  29  30  33  34  39  41  44  47  53  55  57  68  73  79  85 100\n",
      " 103 126 134 142 150 155 156 165 169 178 179 181 187 189 196 201 205 217\n",
      " 227 230 243 246 248 253 258 261 263 275 278 280 288 294 296 300 307 331\n",
      " 334 362 364 371 385 386 388 402 405 416 428 435 437 438 448 450 474 489\n",
      " 491 497 501 502 507 510]\n",
      "image # 9914, layer # layer4.0.relu has outliers [  1   3  11  13  33  46  48  49  54  61  72  76  83  85  89  92 105 115\n",
      " 119 121 126 128 134 135 138 151 154 157 161 165 166 179 181 199 202 205\n",
      " 213 222 229 230 231 233 236 237 249 250 262 279 280 285 303 314 325 336\n",
      " 348 353 355 362 364 371 373 381 388 389 390 401 404 405 425 432 434 437\n",
      " 440 450 472 475 482 487 489 500 503 507 509 510]\n",
      "image # 9937, layer # layer4.0.relu has outliers [ 10  13  44  57  59  60  69  85  93  99 104 108 121 122 124 138 143 154\n",
      " 157 161 169 181 184 192 194 197 198 202 204 205 226 229 231 240 250 261\n",
      " 262 278 280 285 288 299 300 314 325 339 347 359 376 381 388 393 399 405\n",
      " 408 412 424 425 427 430 435 438 443 450 453 454 455 458 475 478 479 482\n",
      " 488 489 491 496 499]\n",
      "image # 10055, layer # layer4.0.relu has outliers [  1  17  29  33  34  39  46  54  57  60  69  76  83  88 106 111 126 128\n",
      " 134 135 140 151 154 157 161 165 169 179 189 198 199 202 205 219 223 229\n",
      " 230 240 249 250 252 262 267 278 280 282 287 288 300 314 328 336 359 364\n",
      " 367 375 376 377 378 380 381 385 386 388 393 402 405 409 431 458 475 482\n",
      " 487 501 507]\n",
      "image # 10087, layer # layer4.0.relu has outliers [  1  28  33  34  37  39  47  57  80 100 101 102 103 107 111 135 140 150\n",
      " 152 173 178 182 188 192 193 199 202 205 213 216 217 219 236 242 251 262\n",
      " 272 300 301 303 310 311 314 321 322 334 336 351 359 361 364 373 386 388\n",
      " 390 391 393 396 399 405 407 420 428 432 442 457 467 475 476 481 507]\n",
      "image # 10129, layer # layer4.0.relu has outliers [  1  13  25  28  32  33  37  39  43  49  57  70  72  73  74 100 111 113\n",
      " 115 119 138 140 142 154 165 170 172 178 183 190 194 197 202 215 223 231\n",
      " 239 245 248 251 255 256 258 261 262 278 288 314 315 341 347 353 359 375\n",
      " 376 380 381 383 392 393 396 402 403 405 415 428 442 470 475 491 501 507]\n",
      "image # 10156, layer # layer4.0.relu has outliers [  7  10  28  33  37  39  47  50  57  68  82  89  95  99 100 101 103 107\n",
      " 134 135 146 147 165 170 179 180 192 195 203 205 213 229 230 233 237 244\n",
      " 250 268 276 303 311 314 315 347 353 360 362 365 369 371 383 385 388 391\n",
      " 393 396 399 404 405 409 415 425 430 434 444 456 457 465 470 475 482 489\n",
      " 491 500 507]\n",
      "image # 10193, layer # layer4.0.relu has outliers [  4   9  11  13  24  25  44  47  49  63  70  74  77  85  89  95 101 102\n",
      " 103 108 138 140 164 165 166 177 179 181 188 192 195 197 201 205 217 222\n",
      " 223 231 239 250 251 255 259 274 278 288 303 311 328 338 347 353 358 359\n",
      " 360 371 373 383 385 386 396 401 406 410 423 430 434 441 444 457 485 491\n",
      " 500]\n",
      "image # 10209, layer # layer4.0.relu has outliers [  3  17  19  39  58  70  72  76  91 104 119 145 147 153 154 155 159 169\n",
      " 171 180 183 186 193 210 216 226 232 237 251 258 266 290 294 299 305 307\n",
      " 311 321 335 343 346 352 354 357 358 362 367 377 378 382 385 386 393 395\n",
      " 396 402 404 405 408 430 431 455 458 484 485 495 497 506 508]\n",
      "image # 10225, layer # layer4.0.relu has outliers [  3  13  19  22  37  39  53  62  63  69  71  76  77  91  92 104 105 106\n",
      " 107 138 147 154 165 166 179 180 181 192 193 194 197 210 216 217 228 235\n",
      " 237 249 251 258 261 275 285 299 310 317 328 346 358 360 371 376 380 381\n",
      " 383 386 390 393 396 399 404 410 412 420 423 430 440 455 456 457 465 470\n",
      " 479 480 485 487 491 496 501 507]\n",
      "image # 10251, layer # layer4.0.relu has outliers [  0   1   7   9  14  17  34  41  48  79  80  83  84  89  95 116 129 134\n",
      " 147 156 159 161 163 168 169 171 176 187 192 205 207 227 232 245 251 255\n",
      " 267 271 274 278 290 300 313 317 331 334 335 377 383 385 391 393 394 399\n",
      " 400 408 414 437 438 450 452 460 483 487 496 504 507]\n",
      "image # 10259, layer # layer4.0.relu has outliers [ 10  21  33  34  37  39  44  49  60  64  68  70  72  76  83  85  89  95\n",
      " 119 128 135 137 140 147 153 167 179 182 193 194 211 213 216 219 222 227\n",
      " 232 236 251 257 260 299 301 303 309 311 314 317 321 336 347 354 358 360\n",
      " 362 365 373 377 382 385 389 393 396 404 407 409 415 424 428 431 432 434\n",
      " 436 442 449 457 470 476 487 489 497 510]\n",
      "image # 10263, layer # layer4.0.relu has outliers [ 13  28  44  46  47  57  84  95  99 101 102 103 109 110 124 129 134 138\n",
      " 140 150 151 154 155 161 165 169 172 186 187 193 197 203 211 235 251 259\n",
      " 262 274 275 276 300 303 307 311 315 316 325 331 365 371 393 396 399 415\n",
      " 425 429 434 439 441 443 453 454 457 471 496 497 500]\n",
      "image # 10269, layer # layer4.0.relu has outliers [  3   4  13  25  37  57  66  73  74  99 105 107 111 131 132 141 144 151\n",
      " 165 183 187 192 202 222 231 235 239 251 255 261 267 274 288 299 301 306\n",
      " 310 315 334 339 341 347 349 353 363 375 376 380 390 393 396 399 401 403\n",
      " 405 409 429 434 439 444 447 448 450 457 481 482 510]\n",
      "image # 10273, layer # layer4.0.relu has outliers [  6  10  13  25  27  28  33  34  44  48  50  60  68  70  88  89  95  99\n",
      " 101 111 124 128 129 151 155 156 165 166 172 178 182 188 203 215 222 233\n",
      " 248 255 257 269 272 274 277 278 280 288 313 314 315 335 344 351 353 356\n",
      " 357 362 364 375 383 391 393 397 399 407 411 415 434 437 441 444 450 462\n",
      " 474 491 494 497 500]\n",
      "image # 10297, layer # layer4.0.relu has outliers [  4   7  11  13  19  33  44  47  50  57  61  63  64  68  82  88  89  93\n",
      " 107 109 138 143 151 154 157 165 166 170 178 179 187 189 201 203 204 217\n",
      " 222 226 233 245 248 250 262 280 306 310 315 316 328 341 353 360 362 371\n",
      " 378 379 393 396 399 401 404 407 425 430 437 440 441 444 447 448 470 474\n",
      " 475 482 498 507 510]\n",
      "image # 10343, layer # layer4.0.relu has outliers [  7  13  25  37  39  43  44  47  48  49  57  68  77  82  85  89  99 100\n",
      " 101 103 106 107 111 132 140 143 146 155 158 165 166 179 188 195 197 211\n",
      " 223 239 246 248 259 260 304 306 315 316 317 320 341 351 353 362 379 385\n",
      " 393 396 401 406 407 415 425 444 450 453 459 466 467 470 474 482 489 498]\n",
      "image # 10377, layer # layer4.0.relu has outliers [ 10  18  21  22  29  34  40  44  54  60  67  68  85  89 105 114 118 119\n",
      " 126 128 134 135 151 156 162 166 169 170 177 178 181 199 210 213 217 219\n",
      " 222 226 235 246 248 249 250 261 263 267 279 280 288 307 314 328 329 331\n",
      " 371 373 375 383 386 389 390 395 411 432 434 435 438 440 441 470 481 483\n",
      " 489 492 507]\n",
      "image # 10385, layer # layer4.0.relu has outliers [  7   9  13  25  32  34  47  48  74  80  89 101 103 124 129 163 165 167\n",
      " 186 188 192 195 197 199 211 220 223 225 236 239 251 255 259 262 268 274\n",
      " 297 301 315 320 341 349 353 357 360 364 369 370 385 390 393 396 399 401\n",
      " 411 415 425 429 434 441 444 449 470 489 491]\n",
      "image # 10398, layer # layer4.0.relu has outliers [  1   9  19  34  37  45  59  65  76  85 104 116 151 158 182 184 192 196\n",
      " 197 205 211 213 216 227 230 243 244 250 251 254 255 259 260 261 263 267\n",
      " 276 280 288 296 299 300 301 302 303 307 308 311 315 318 321 324 325 335\n",
      " 359 373 377 385 386 388 393 396 399 408 410 426 430 435 441 442 444 445\n",
      " 449 458 489 492 509]\n",
      "image # 10418, layer # layer4.0.relu has outliers [ 13  33  39  43  46  48  49  66  68  76  88  89  92 102 103 105 119 132\n",
      " 134 161 163 170 177 179 181 185 192 213 223 226 236 244 247 248 261 270\n",
      " 275 280 300 303 314 355 361 362 367 371 381 388 390 393 399 404 405 434\n",
      " 444 470 475 489 496 498 504 510 511]\n",
      "image # 10513, layer # layer4.0.relu has outliers [  0   2   3   6  10  28  37  43  48  49  50  72  81  83  87  95  99 100\n",
      " 102 104 111 119 127 135 138 140 166 168 170 192 194 197 201 202 213 215\n",
      " 244 250 256 258 274 275 280 282 305 311 314 317 338 340 347 353 355 357\n",
      " 358 374 380 383 385 386 389 390 393 403 404 405 412 423 430 438 453 456\n",
      " 457 470 491 496 506 507]\n",
      "image # 10524, layer # layer4.0.relu has outliers [  6  13  25  28  29  37  48  53  58  85  87  88  89 101 104 111 129 133\n",
      " 135 138 144 151 165 168 170 177 179 182 183 193 197 201 202 214 215 222\n",
      " 257 274 278 280 300 312 314 315 328 337 339 347 355 357 358 364 373 383\n",
      " 390 396 399 401 406 408 411 422 423 425 429 430 434 437 440 441 444 461\n",
      " 462 465 470 482 484 498 499 500 504 506]\n",
      "image # 10705, layer # layer4.0.relu has outliers [  1  13  18  35  58  63  76  84  95 102 104 109 125 129 134 138 140 143\n",
      " 154 161 165 174 197 199 205 206 208 211 216 226 227 230 231 240 258 262\n",
      " 280 281 288 294 300 309 318 321 325 334 343 352 354 358 367 377 378 388\n",
      " 393 394 396 402 405 408 422 425 427 432 433 443 450 455 468 478 496 510]\n",
      "image # 10817, layer # layer4.0.relu has outliers [  1   6  11  12  34  41  51  57  79  82  95 116 131 138 140 143 150 154\n",
      " 155 156 161 168 182 193 200 201 202 226 227 229 231 237 244 251 278 289\n",
      " 294 325 334 338 340 358 367 386 387 388 394 402 403 404 406 408 412 413\n",
      " 428 429 435 439 446 450 452 454 455 456 471 478 480 485 496 497 506 507\n",
      " 508]\n",
      "image # 10818, layer # layer4.0.relu has outliers [  1  14  25  34  37  40  47  63  82  84  99 101 102 111 118 132 143 147\n",
      " 155 170 172 174 179 187 191 192 197 202 211 222 223 224 227 232 233 235\n",
      " 253 256 259 262 269 274 290 296 324 339 351 353 354 363 375 385 393 394\n",
      " 396 422 441 443 444 448 450 451 467 487 500 506 507]\n",
      "image # 10821, layer # layer4.0.relu has outliers [ 19  35  45  58  66  77  79  83  94 102 103 110 116 126 139 147 152 169\n",
      " 172 184 186 187 191 193 197 206 210 216 219 226 240 241 251 254 256 261\n",
      " 266 281 291 300 307 313 316 318 324 334 340 343 352 367 382 396 406 408\n",
      " 417 418 423 433 435 451 452 454 455 457 468 471 483 508 510]\n",
      "image # 10866, layer # layer4.0.relu has outliers [  1  28  33  34  37  40  44  46  47  51  52  68  72  73  76  85  87  89\n",
      " 102 112 113 124 129 132 138 156 165 166 169 177 187 188 192 197 212 226\n",
      " 241 253 274 276 278 288 300 305 311 314 315 335 341 348 353 355 357 362\n",
      " 386 389 390 392 393 399 401 416 422 425 429 434 441 443 462 466 474 489\n",
      " 491 492 498 500 507]\n",
      "image # 10946, layer # layer4.0.relu has outliers [  2  17  39  43  49  53  54  56  58  60  65  70  74  81  95 107 119 128\n",
      " 138 139 140 144 163 173 177 216 223 226 228 237 252 256 257 293 296 299\n",
      " 304 307 311 314 318 328 336 343 369 385 393 406 409 423 424 440 451 461\n",
      " 467 470 477 484 487 503]\n",
      "layer layer4.1.relu\n",
      "image # 130, layer # layer4.1.relu has outliers [ 13  19  25  39  43  49  59  62  74  81  83  85  89  99 103 105 106 107\n",
      " 108 111 135 138 157 158 165 170 188 192 198 202 213 214 226 237 245 249\n",
      " 260 272 275 296 304 306 310 314 315 317 328 341 353 355 359 373 376 381\n",
      " 389 393 399 401 406 407 417 425 428 434 447 470 480 489 502 503]\n",
      "image # 135, layer # layer4.1.relu has outliers [ 10  31  37  39  45  49  59  69  72  81  83  85  89 100 107 119 127 132\n",
      " 135 138 140 154 161 163 169 181 191 192 193 198 202 204 210 212 213 222\n",
      " 228 231 249 250 251 276 281 304 307 311 320 322 325 328 355 374 381 382\n",
      " 389 393 399 409 418 423 425 430 438 442 457 459 467 470 489 491 496]\n",
      "image # 250, layer # layer4.1.relu has outliers [ 13  25  34  37  66  68  70  73  81 101 103 129 132 138 140 144 154 155\n",
      " 161 163 166 169 172 173 182 183 191 192 202 211 220 226 230 237 245 255\n",
      " 262 300 301 311 315 333 341 353 362 373 383 391 393 396 399 401 409 415\n",
      " 422 425 431 459 464 467 470 484]\n",
      "image # 383, layer # layer4.1.relu has outliers [  4   7  11  13  25  27  33  34  38  46  54  66  68  73 101 103 106 107\n",
      " 111 120 124 129 132 138 139 140 154 155 163 177 187 188 189 192 195 198\n",
      " 201 222 235 237 241 245 259 278 288 315 324 336 341 342 349 351 353 362\n",
      " 369 373 376 390 391 393 394 399 401 406 407 415 425 434 447 449 454 455\n",
      " 459 464 479 482 500]\n",
      "image # 399, layer # layer4.1.relu has outliers [ 17  24  29  37  39  59  63  85  87 127 135 138 143 152 154 157 159 161\n",
      " 165 178 181 183 184 194 198 201 202 204 213 226 229 231 232 235 249 251\n",
      " 262 288 299 307 314 336 343 347 353 358 365 373 378 393 395 404 408 409\n",
      " 412 418 430 435 437 450 458 475 477 487 496 501 510]\n",
      "image # 519, layer # layer4.1.relu has outliers [  0   1   3  13  25  27  33  37  39  40  41  46  48  68 101 103 107 111\n",
      " 128 132 135 138 152 155 161 166 170 172 178 181 183 186 200 202 211 220\n",
      " 222 224 230 237 245 262 269 272 278 300 305 314 315 317 333 351 353 355\n",
      " 362 364 380 391 393 397 399 402 404 407 415 418 420 434 437 441 450 462\n",
      " 464 474 475 476 487 499 507 511]\n",
      "image # 540, layer # layer4.1.relu has outliers [  1   6  25  27  34  40  44  66  73  87  95 101 102 104 109 124 126 129\n",
      " 133 134 138 139 142 147 155 159 161 171 178 184 192 194 206 211 224 231\n",
      " 235 243 246 252 259 269 270 274 278 290 293 299 300 313 314 315 334 337\n",
      " 344 367 373 378 396 399 408 423 425 427 435 455 457 468 482 497 510]\n",
      "image # 551, layer # layer4.1.relu has outliers [ 12  13  37  39  45  49  57  61  62  81  83  85 100 103 107 108 124 154\n",
      " 157 165 179 181 192 193 201 202 204 205 207 212 231 239 240 247 249 258\n",
      " 272 275 281 300 310 322 325 336 341 349 353 358 359 376 389 391 393 399\n",
      " 401 406 420 422 423 425 434 440 474 475 480]\n",
      "image # 579, layer # layer4.1.relu has outliers [  1  10  13  25  34  37  39  54  72  85 105 126 134 138 152 154 159 165\n",
      " 169 172 178 179 181 192 193 194 201 207 210 224 226 232 240 243 251 254\n",
      " 256 258 272 281 300 301 304 307 313 325 328 340 358 364 367 376 388 389\n",
      " 393 399 402 408 409 418 455 457 459 480 493 507 510]\n",
      "image # 739, layer # layer4.1.relu has outliers [  0  25  33  34  37  39  59  63  71  85  87  89  95 102 115 134 135 138\n",
      " 140 147 155 156 161 166 169 172 181 192 193 197 201 202 222 224 232 235\n",
      " 246 251 252 262 282 288 290 292 300 302 314 321 331 340 344 353 364 373\n",
      " 377 383 386 387 391 394 396 404 408 414 422 424 441 475 480 487 496 507]\n",
      "image # 751, layer # layer4.1.relu has outliers [  3   5  10  12  29  31  32  34  37  58  59  62  65  72  85  92 115 126\n",
      " 127 132 133 135 138 139 140 147 155 161 178 180 181 182 183 185 193 198\n",
      " 202 206 210 222 227 234 240 243 244 251 258 261 275 279 296 299 300 313\n",
      " 314 315 318 325 334 340 352 367 373 377 382 386 393 403 404 405 406 408\n",
      " 409 414 418 422 424 430 451 456 457 462 468 475 492 496 497 501 507 510]\n",
      "image # 818, layer # layer4.1.relu has outliers [ 11  13  34  37  46  54  62  83 102 109 126 134 135 147 155 161 165 169\n",
      " 178 179 183 192 194 202 210 213 222 227 231 243 245 262 267 272 280 290\n",
      " 300 303 314 331 336 353 362 364 367 373 376 391 393 399 402 403 405 408\n",
      " 414 418 424 450 455 457 458 475 493 504 507 510]\n",
      "image # 821, layer # layer4.1.relu has outliers [ 13  25  27  39  43  44  49  57  61  73  83  85  99 103 106 107 111 137\n",
      " 138 139 149 150 154 155 157 163 165 170 179 184 192 197 202 203 212 225\n",
      " 230 239 310 317 324 325 328 341 342 345 349 353 355 359 360 371 376 389\n",
      " 393 399 401 406 409 415 418 420 423 425 434 437 440 444 449 470 489]\n",
      "image # 878, layer # layer4.1.relu has outliers [ 13  43  44  66  74  77  89 163 190 192 202 274 320 341 353 359 362 393\n",
      " 401 425 426 436 449 464 489]\n",
      "image # 907, layer # layer4.1.relu has outliers [ 25  77  85 137 138 140 192 278 325 341 371 399 401 415 425]\n",
      "image # 1042, layer # layer4.1.relu has outliers [  0  14  24  28  34  42  46  50  93  96 103 104 126 134 135 147 159 169\n",
      " 182 183 187 192 194 197 199 200 201 202 210 226 243 251 252 257 260 274\n",
      " 276 281 282 290 300 303 311 313 314 321 324 331 335 353 362 364 377 383\n",
      " 389 391 392 401 403 408 431 434 437 455 473 480 481 494 504 506]\n",
      "image # 1134, layer # layer4.1.relu has outliers [  3  13  37  39  49  65  85  99 105 107 130 132 138 150 152 157 161 165\n",
      " 170 179 181 192 202 207 222 232 239 256 272 275 299 304 307 310 314 315\n",
      " 324 325 328 353 355 376 380 381 393 399 401 406 415 425 447 448 470 489\n",
      " 501 502]\n",
      "image # 1195, layer # layer4.1.relu has outliers [ 14  17  34  46  56  58  66  69  71  83  85 104 113 116 128 134 138 142\n",
      " 147 155 158 165 169 178 182 187 192 193 196 202 205 210 226 229 243 246\n",
      " 248 254 288 290 300 305 306 311 312 314 315 328 331 344 345 365 373 376\n",
      " 386 387 394 405 406 422 436 438 440 452 456 457 458 459 465 475 481 483\n",
      " 487 493 501 505 507 510]\n",
      "image # 1207, layer # layer4.1.relu has outliers [ 24  40  48  52  58  77 106 128 132 139 152 169 180 197 223 236 239 256\n",
      " 270 271 278 281 304 313 318 324 352 354 393 431 434 459 468 473 486 497\n",
      " 501]\n",
      "image # 1250, layer # layer4.1.relu has outliers [  5  13  46  51  52  58 101 106 139 152 155 159 165 172 197 208 211 220\n",
      " 223 236 239 246 261 262 271 276 281 303 313 317 318 324 352 370 393 399\n",
      " 415 425 433 434 447 462 473 477 483 489]\n",
      "image # 1285, layer # layer4.1.relu has outliers [ 13  24  31  34  37  43  58  66  74  89  92  93 103 105 139 152 157 165\n",
      " 170 177 202 213 219 236 239 247 272 281 285 303 304 307 310 314 320 322\n",
      " 324 341 353 359 365 376 380 389 390 405 415 422 428 448 452 458 470 489\n",
      " 503]\n",
      "image # 1296, layer # layer4.1.relu has outliers [  4   8  13  25  32  37  43  58  66  73  74  77  97  98 103 106 107 111\n",
      " 129 138 144 154 165 177 183 188 192 200 201 202 209 220 232 235 237 295\n",
      " 307 317 320 322 328 336 341 345 349 353 355 359 373 376 378 390 393 399\n",
      " 401 415 434 436 464 480 484 497]\n",
      "image # 1382, layer # layer4.1.relu has outliers [  4  13  37  39  43  44  48  54  70  77  81  85 107 129 132 137 138 139\n",
      " 149 150 154 155 165 183 188 195 202 203 217 237 258 292 295 325 341 349\n",
      " 351 353 359 362 382 393 396 399 401 409 415 422 425 449 456 459 476 484]\n",
      "image # 1392, layer # layer4.1.relu has outliers [ 14  21  40  52  54  55  59  66  72  73  76  85  89  93  95 101 114 123\n",
      " 124 125 126 128 129 134 135 138 147 161 165 169 172 177 178 179 181 183\n",
      " 189 193 197 202 206 210 217 219 226 232 236 238 245 246 263 276 278 279\n",
      " 285 289 290 291 300 306 313 314 317 325 328 331 358 362 375 378 383 393\n",
      " 395 399 411 416 426 432 441 442 455 457 462 497 511]\n",
      "image # 1451, layer # layer4.1.relu has outliers [  3   5  13  37  39  63  72  76  85  93  95 104 111 125 130 138 162 165\n",
      " 169 179 192 194 202 204 210 222 231 253 262 289 290 297 303 311 314 317\n",
      " 321 336 339 355 357 358 364 376 386 389 396 401 402 412 422 424 425 440\n",
      " 441 457 462 467 476 484 487 496 507]\n",
      "image # 1457, layer # layer4.1.relu has outliers [  5  21  31  41  52  55  58  60  64  65  76  83  93  99 110 122 123 125\n",
      " 132 135 139 140 165 172 177 180 186 187 190 193 197 199 210 212 213 226\n",
      " 238 261 277 279 285 288 299 308 312 316 321 325 375 381 395 397 399 409\n",
      " 410 425 428 432 441 462 473 478 480 510]\n",
      "image # 1520, layer # layer4.1.relu has outliers [ 13  25  33  34  45  46  70  73 101 103 107 129 132 155 161 163 192 202\n",
      " 212 237 239 245 246 247 272 278 285 300 306 315 324 341 342 353 354 355\n",
      " 362 373 393 399 401 418 425 434 459 464 470 489 504]\n",
      "image # 1545, layer # layer4.1.relu has outliers [ 13  34  39  54  59  61  65  68  83  85 109 126 135 138 140 155 161 165\n",
      " 178 181 192 194 201 210 222 226 229 230 231 237 240 257 258 262 279 300\n",
      " 313 315 355 358 364 367 373 376 378 380 382 389 390 393 395 399 402 406\n",
      " 414 418 425 430 438 443 450 468 475 487 496 504 507]\n",
      "image # 1724, layer # layer4.1.relu has outliers [  4   7  25  37  43  70  74  89 103 106 107 111 177 182 183 188 192 203\n",
      " 209 220 257 278 311 328 341 345 351 362 401 411 425 441 447 470 497]\n",
      "image # 1777, layer # layer4.1.relu has outliers [ 19  40  46  51  58  66  73  76  79 101 106 124 125 126 132 138 139 151\n",
      " 152 155 161 172 177 184 186 206 210 220 225 226 251 256 261 262 274 276\n",
      " 279 307 326 328 367 376 377 378 391 393 399 400 402 405 416 434 435 436\n",
      " 441 451 452 457 462 472 477 484 497 503]\n",
      "image # 1846, layer # layer4.1.relu has outliers [ 11  25  28  34  57  67  68  88  89 103 114 128 132 142 169 170 171 174\n",
      " 181 192 207 210 224 226 229 237 245 246 269 275 278 281 300 304 306 331\n",
      " 362 364 399 407 409 416 423 431 434 438 459 468 470 481 501 502 510]\n",
      "image # 1864, layer # layer4.1.relu has outliers [  3  14  21  40  46  52  65  66  75  76  86  93 102 110 125 126 132 138\n",
      " 139 152 154 167 178 180 181 184 193 203 206 211 224 231 232 251 259 261\n",
      " 269 283 289 303 307 313 317 325 334 346 367 378 396 399 416 426 432 435\n",
      " 439 441 447 455 457 468 474 490 497 510]\n",
      "image # 1912, layer # layer4.1.relu has outliers [ 13  25  32  34  52  66 101 103 105 107 126 139 140 152 154 165 172 178\n",
      " 193 211 218 220 223 262 283 288 303 318 324 354 367 378 381 393 399 415\n",
      " 434 447 453 480 485 497]\n",
      "image # 1969, layer # layer4.1.relu has outliers [  1  10  17  19  25  48  50  57  59  63  64  68  79  83  88  89 106 123\n",
      " 126 134 138 147 156 166 169 177 178 181 189 193 199 202 210 212 217 226\n",
      " 229 245 246 249 251 257 260 278 279 285 306 307 308 314 321 331 360 376\n",
      " 379 386 393 395 409 411 422 424 430 437 438 442 443 456 458 460 487 491\n",
      " 507 510]\n",
      "image # 1970, layer # layer4.1.relu has outliers [ 13  19  34  37  58  95 102 126 128 139 142 152 165 177 178 217 220 223\n",
      " 236 239 262 281 288 317 318 322 324 333 352 354 378 393 399 408 415 434\n",
      " 442 448 455 458 459 473 497]\n",
      "image # 2006, layer # layer4.1.relu has outliers [  1   7  12  14  25  34  38  42  56  57  84 104 109 114 128 134 135 142\n",
      " 143 156 165 166 169 172 178 179 187 188 189 192 193 198 202 210 214 216\n",
      " 226 229 235 237 245 251 261 262 278 282 306 315 319 331 341 345 359 374\n",
      " 376 378 383 386 387 394 401 404 408 415 439 445 446 450 475 479 482 485\n",
      " 488 494 510]\n",
      "image # 2025, layer # layer4.1.relu has outliers [  1   7  13  19  25  37  46  58  65  83  86  89  93 102 103 107 110 126\n",
      " 129 132 138 139 140 154 155 161 179 180 183 192 193 198 199 205 210 212\n",
      " 214 223 229 240 250 256 261 262 270 271 281 300 301 313 317 318 324 325\n",
      " 326 352 354 376 389 393 399 401 402 414 425 430 435 442 455 457 473 480\n",
      " 510]\n",
      "image # 2117, layer # layer4.1.relu has outliers [  1  19  32  34  41  65  66  72  76  83  85 100 126 132 138 142 152 154\n",
      " 155 165 169 181 189 193 196 202 207 220 229 240 246 251 262 269 270 281\n",
      " 287 290 299 300 305 307 313 315 318 321 324 331 336 340 343 351 352 358\n",
      " 376 377 382 387 388 389 391 393 402 404 405 442 443 450 472 476 477 487\n",
      " 501 510]\n",
      "image # 2269, layer # layer4.1.relu has outliers [  6  13  25  33  40  41  46  56  58  76 101 102 109 110 124 126 132 139\n",
      " 142 154 155 161 165 169 172 173 178 181 184 186 188 202 206 208 211 216\n",
      " 217 231 235 240 252 258 259 262 270 283 288 293 299 307 313 315 318 321\n",
      " 325 334 367 376 377 378 391 393 399 400 401 402 404 405 450 458 497 500\n",
      " 510]\n",
      "image # 2421, layer # layer4.1.relu has outliers [  3  25  34  36  37  39  54  63  65  75  76  86  93 102 109 110 124 137\n",
      " 138 145 152 154 155 165 169 178 180 181 184 192 193 194 197 198 203 206\n",
      " 208 211 227 231 236 246 261 262 284 289 299 300 307 346 354 358 367 371\n",
      " 376 380 393 396 402 404 405 420 424 435 441 448 456 457 467 473 490 496\n",
      " 508 510]\n",
      "image # 2524, layer # layer4.1.relu has outliers [  7   9  34  39  41  59  71  72  76  85  89  91  95 104 109 120 134 135\n",
      " 138 154 161 165 166 177 179 182 193 210 216 226 232 237 243 254 258 261\n",
      " 290 299 301 310 314 320 321 336 345 359 362 376 382 386 387 393 415 424\n",
      " 434 452 456 467 484 485 496 497]\n",
      "image # 2530, layer # layer4.1.relu has outliers [  0   1  13  25  29  32  34  39  46  54  60  68  83  85 107 109 111 113\n",
      " 118 124 128 135 137 138 140 151 154 155 161 170 179 181 183 192 193 199\n",
      " 201 202 207 219 227 236 240 246 267 272 282 290 305 307 315 321 325 343\n",
      " 344 345 351 358 367 376 380 381 389 393 397 399 406 407 418 441 450 467\n",
      " 487 497 502 507 510]\n",
      "image # 2565, layer # layer4.1.relu has outliers [ 25  40  44  68  84 106 125 149 172 181 197 211 220 225 226 237 245 246\n",
      " 262 274 300 301 306 317 333 335 336 354 362 393 399 409 431 432 434 435\n",
      " 441 449 470 480 511]\n",
      "image # 2635, layer # layer4.1.relu has outliers [ 13  25  33  37  39  43  44  48  49  70  74 103 107 124 129 132 137 138\n",
      " 139 144 149 150 154 155 161 163 173 177 184 188 195 212 217 220 258 274\n",
      " 283 310 328 341 345 349 353 359 370 390 393 399 409 415 425 436 444 449\n",
      " 464 467 470 474 506]\n",
      "image # 2638, layer # layer4.1.relu has outliers [ 13  25  37  54  63  68  72  76  83  85  87  89  93  99 102 109 124 126\n",
      " 135 138 140 143 147 152 154 161 165 178 179 192 193 194 197 204 206 210\n",
      " 211 213 219 226 232 235 236 247 251 259 262 267 285 288 299 307 314 325\n",
      " 347 354 358 365 371 378 382 386 394 396 404 405 408 424 450 457 458 482\n",
      " 489 496 498 500 510]\n",
      "image # 2727, layer # layer4.1.relu has outliers [  1  11  13  32  33  34  37  54  59  68  85 102 119 121 123 126 128 132\n",
      " 134 135 158 161 165 169 178 179 181 189 192 194 201 202 219 222 226 232\n",
      " 234 235 237 252 280 288 299 307 314 315 325 328 340 347 358 362 365 367\n",
      " 373 376 378 381 382 386 399 401 408 424 450 455 457 458 475 478 487 489\n",
      " 496 507 510]\n",
      "image # 2817, layer # layer4.1.relu has outliers [  8  13  25  32  37  49  73  81  85  89  98 138 144 155 161 163 177 186\n",
      " 192 211 212 217 226 237 245 312 315 341 355 360 362 373 386 393 399 401\n",
      " 409 434 437 457 459 464 467 470]\n",
      "image # 2937, layer # layer4.1.relu has outliers [ 13  25  27  43  44  46  63  70  74  85  91  97 101 103 106 107 129 132\n",
      " 138 144 150 154 155 183 188 190 192 203 211 217 220 230 233 259 262 269\n",
      " 274 311 333 336 341 345 349 359 390 393 423 425 436 444 449 457 464 467\n",
      " 484]\n",
      "image # 2942, layer # layer4.1.relu has outliers [  1  27  32  37  39  44  45  54  57  68  87  95 101 106 111 113 127 144\n",
      " 149 155 161 163 165 171 172 179 183 192 197 200 204 208 223 224 240 246\n",
      " 255 262 274 275 288 297 300 303 315 328 339 353 354 355 359 370 373 374\n",
      " 380 381 386 391 393 399 405 416 417 425 434 457 464 470 484 504 509]\n",
      "image # 2962, layer # layer4.1.relu has outliers [  4  25  37  55  56  59  66  67  88  89  99 103 105 114 128 132 134 135\n",
      " 147 156 177 178 183 187 202 210 212 213 214 226 232 245 247 251 278 287\n",
      " 299 307 312 314 328 335 341 353 355 362 374 376 380 385 395 401 403 408\n",
      " 411 422 431 442 487 494 498 502 510]\n",
      "image # 3065, layer # layer4.1.relu has outliers [  5  11  32  36  52  58  76  89  95 101 102 126 138 154 155 165 169 177\n",
      " 178 181 192 193 197 210 212 223 226 229 235 236 240 256 258 261 262 281\n",
      " 290 298 303 307 313 317 318 322 324 325 326 336 340 354 358 359 365 371\n",
      " 378 382 393 396 399 405 424 434 442 443 450 452 458 468 473 483 489 497]\n",
      "image # 3147, layer # layer4.1.relu has outliers [ 13  25  36 102 129 139 154 165 201 202 223 235 261 281 313 318 324 325\n",
      " 350 354 378 393 399 415 434 448 455 458 483 497]\n",
      "image # 3287, layer # layer4.1.relu has outliers [ 25  34  43  49  54  65  70  77  89 102 103 107 127 138 139 154 163 177\n",
      " 202 213 214 232 239 247 258 272 310 353 355 376 380 390 393 399 401 406\n",
      " 415 444 464 470]\n",
      "image # 3395, layer # layer4.1.relu has outliers [  1  13  25 101 102 110 129 139 148 154 155 178 180 186 188 192 208 241\n",
      " 258 259 261 276 281 300 313 315 318 322 324 325 334 349 350 354 359 378\n",
      " 393 399 400 425 434 446 468 473 474 483 491 497 500 506 511]\n",
      "image # 3643, layer # layer4.1.relu has outliers [  1   3  12  25  34  57  66 102 108 110 122 125 126 139 140 142 146 148\n",
      " 152 154 159 160 165 170 172 178 180 181 187 192 193 198 201 202 203 206\n",
      " 208 231 232 237 251 256 259 261 271 274 278 281 291 296 300 313 318 324\n",
      " 325 340 349 350 352 354 358 359 376 377 378 382 388 418 425 426 428 434\n",
      " 445 446 447 448 454 468 473 474 479 480 481 485 497 502]\n",
      "image # 3811, layer # layer4.1.relu has outliers [ 13  32  37  39  43  49  54  55  59  68  70  72  81  85  89 103 107 129\n",
      " 132 137 138 150 154 155 163 214 220 232 237 258 311 315 322 341 342 353\n",
      " 355 362 374 380 382 386 393 403 406 407 409 415 422 425 438 456 457 459\n",
      " 465 467 470 475 499]\n",
      "image # 3846, layer # layer4.1.relu has outliers [ 14  34  37  52  59  69  72  76  93 119 126 134 135 138 147 160 161 165\n",
      " 169 179 181 192 194 201 202 210 222 226 229 231 243 250 252 261 262 288\n",
      " 290 299 300 303 304 314 321 331 336 355 358 362 365 373 375 376 382 383\n",
      " 386 388 389 390 405 408 412 424 432 440 450 458 475 487 489 496 507 510]\n",
      "image # 3930, layer # layer4.1.relu has outliers [  0   1   5  13  31  33  37  44  46  68  70  74  81  85 100 103 106 107\n",
      " 111 129 130 138 144 149 154 179 192 195 202 219 223 225 230 237 248 251\n",
      " 260 272 274 275 288 306 315 320 328 341 342 349 353 359 370 376 390 391\n",
      " 393 399 401 417 423 425 434 449 464 470 491]\n",
      "image # 3953, layer # layer4.1.relu has outliers [  1   3   5  13  25  37  39  52  76  93 100 103 107 115 124 134 138 140\n",
      " 144 150 154 155 165 172 192 200 203 208 210 211 220 222 224 229 231 240\n",
      " 258 261 262 275 276 300 301 307 311 313 314 315 317 354 358 377 382 393\n",
      " 399 402 403 404 406 425 434 437 439 457 462 467 472 475 482 490 507]\n",
      "image # 4002, layer # layer4.1.relu has outliers [  0  11  29  33  34  37  39  54  55  56  59  65  68  71  85 109 111 119\n",
      " 132 134 135 138 155 157 162 165 166 172 173 178 181 198 199 202 217 222\n",
      " 227 229 240 243 246 275 280 290 299 305 314 315 321 355 365 373 374 386\n",
      " 389 399 403 405 406 408 409 411 418 424 425 458 475 487 493 496 510]\n",
      "image # 4014, layer # layer4.1.relu has outliers [  4   7  13  15  25  27  37  38  54  58  68  70  74  85  89 101 107 114\n",
      " 129 142 171 177 178 188 192 193 195 211 212 214 226 237 245 246 248 276\n",
      " 293 322 341 350 362 394 396 399 401 410 434 457 459 464 465 470]\n",
      "image # 4064, layer # layer4.1.relu has outliers [  5  10  13  31  34  37  40  46  52  59  63  72  75  85  87  93 102 105\n",
      " 139 145 151 154 160 172 180 181 190 192 194 198 199 203 206 208 210 231\n",
      " 247 251 256 261 262 274 276 288 314 315 325 339 381 386 388 389 399 405\n",
      " 412 434 441 443 457 481 484 489 500 507]\n",
      "image # 4078, layer # layer4.1.relu has outliers [  3  12  34  46  59  83  94 102 109 126 138 139 140 147 154 155 159 161\n",
      " 165 170 178 194 198 202 229 230 232 235 240 251 262 279 299 313 340 356\n",
      " 367 376 378 388 389 393 399 402 403 405 414 424 430 434 437 450 452 455\n",
      " 458 507 510]\n",
      "image # 4100, layer # layer4.1.relu has outliers [ 12  17  32  55  57  59  65  72  75  81  83  87 109 124 129 138 139 140\n",
      " 142 152 154 165 169 172 178 179 193 198 202 223 226 227 229 234 236 245\n",
      " 249 258 279 287 296 305 306 307 322 331 343 374 376 381 382 399 402 404\n",
      " 405 415 418 430 438 442 450 456 472 477 482 485 492 493 498 501 510]\n",
      "image # 4115, layer # layer4.1.relu has outliers [  3  13  14  37  39  49  58  69  70  72  85  87  99 103 107 127 137 138\n",
      " 140 151 157 165 177 179 181 188 192 193 197 198 201 202 213 222 228 230\n",
      " 232 251 258 260 262 272 298 299 303 310 317 322 336 340 357 359 376 382\n",
      " 386 389 393 399 401 405 406 408 415 425 430 434 442 443 480 489 503 507]\n",
      "image # 4256, layer # layer4.1.relu has outliers [  9  17  24  28  34  38  40  42  44  51  52  54  60  74  76  80  85  93\n",
      "  95 113 123 125 128 129 149 167 171 177 182 197 211 219 220 225 236 246\n",
      " 254 257 263 274 277 289 290 299 301 306 311 313 314 315 321 369 373 389\n",
      " 393 396 397 400 412 426 428 431 432 434 449 468 471 473 497 498]\n",
      "image # 4317, layer # layer4.1.relu has outliers [  0   1   6  10  13  14  28  29  34  39  59  61  72  76  85  87  93  95\n",
      "  99 100 109 122 134 135 138 142 155 165 169 170 178 179 181 183 192 194\n",
      " 199 202 215 222 231 252 262 288 289 290 300 303 314 315 317 321 331 336\n",
      " 353 357 358 364 373 375 382 389 402 405 408 412 422 425 430 439 441 443\n",
      " 457 462 472 475 487 496 506 507]\n",
      "image # 4342, layer # layer4.1.relu has outliers [  5  13  31  34  37  48  54  58  59  65  84  95 102 103 105 109 126 133\n",
      " 137 139 152 154 155 159 165 169 178 180 181 184 193 201 220 223 226 227\n",
      " 235 236 240 256 262 266 288 295 297 299 301 302 313 317 324 325 343 352\n",
      " 354 365 379 381 382 393 396 424 428 434 447 451 458 473]\n",
      "image # 4374, layer # layer4.1.relu has outliers [  5  13  25  29  37  39  43  49  59  65  83  85  89  99 100 102 103 105\n",
      " 107 108 132 133 139 150 152 181 190 193 202 205 210 245 247 248 275 296\n",
      " 304 307 310 317 339 352 353 355 376 393 399 401 402 409 418 422 425 448\n",
      " 455 457 459 467 470 489]\n",
      "image # 4388, layer # layer4.1.relu has outliers [  1   3  13  25  34  59  83  85  87  93 102 124 129 134 138 147 152 154\n",
      " 155 159 161 165 166 169 178 179 187 192 194 198 211 232 262 280 285 300\n",
      " 321 326 367 373 377 378 382 388 390 393 399 403 404 405 414 425 430 437\n",
      " 439 450 455 496 501 507 510]\n",
      "image # 4392, layer # layer4.1.relu has outliers [  1   3  13  17  21  34  37  39  55  68  71  72  76  84  85  93  95  99\n",
      " 101 109 125 134 135 137 158 165 169 170 172 177 178 179 188 201 202 224\n",
      " 226 229 232 237 251 278 288 289 290 299 301 306 308 310 315 321 336 343\n",
      " 344 345 351 359 365 367 373 376 378 382 386 389 396 399 404 412 415 424\n",
      " 434 441 442 443 476 478 484 485 510]\n",
      "image # 4452, layer # layer4.1.relu has outliers [  0   6  13  25  27  40  41  45  48  49  51  73  81  83  85  87  89 106\n",
      " 111 127 132 139 149 155 171 191 201 211 214 225 246 274 275 278 297 300\n",
      " 324 325 328 336 342 353 354 355 362 366 396 401 406 409 410 416 417 418\n",
      " 423 425 426 434 435 437 444 458 459 462 464 474 477 489 500]\n",
      "image # 4484, layer # layer4.1.relu has outliers [  7   8  24  37  38  43  44  49  68  72  73  84  85  89  90  95 106 111\n",
      " 113 116 128 129 130 138 163 192 202 205 212 214 220 226 237 238 248 260\n",
      " 274 285 287 299 306 317 320 328 336 341 353 355 360 373 386 391 392 393\n",
      " 399 401 415 421 423 464 470 489 491]\n",
      "image # 4509, layer # layer4.1.relu has outliers [  3   5  21  34  37  39  59  65  71  72  76 109 121 128 135 137 138 140\n",
      " 147 152 160 165 178 179 193 194 202 204 213 220 226 227 229 251 262 279\n",
      " 283 290 291 299 307 310 314 321 339 340 347 376 382 389 404 405 424 430\n",
      " 432 442 443 457 475 476 477 487 498 507 510]\n",
      "image # 4564, layer # layer4.1.relu has outliers [  5  13  34  39  49  93 126 133 137 139 142 150 155 159 165 172 178 181\n",
      " 193 202 222 232 236 262 281 304 314 317 318 322 324 336 349 352 362 365\n",
      " 379 380 381 393 399 405 407 409 415 422 428 434 442 447 470 476 481]\n",
      "image # 4804, layer # layer4.1.relu has outliers [  1  10  13  17  25  33  34  46  61  71  72  76  85  89 101 119 124 126\n",
      " 138 142 155 161 165 169 172 173 179 181 184 194 195 196 199 201 210 211\n",
      " 219 222 230 236 237 252 263 276 279 281 288 289 300 303 307 313 315 321\n",
      " 324 325 358 367 371 376 378 382 389 391 393 399 428 430 435 441 457 462\n",
      " 473 475 496 507 510]\n",
      "image # 4833, layer # layer4.1.relu has outliers [  3  13  25  29  34  37  39  43  48  49  54  62  65 100 106 107 128 152\n",
      " 154 157 165 170 178 179 181 183 192 201 213 222 245 247 257 258 272 275\n",
      " 296 304 314 315 317 353 355 358 376 380 381 386 393 399 402 403 406 407\n",
      " 409 415 418 425 430 459 470 475 489 501 503 507]\n",
      "image # 4896, layer # layer4.1.relu has outliers [  1  13  16  25  34  59  75  83  93 101 102 126 139 140 142 145 152 154\n",
      " 155 161 165 170 184 192 193 199 205 208 219 223 229 230 231 236 240 251\n",
      " 256 261 262 270 271 272 281 283 300 313 315 318 321 325 330 358 359 367\n",
      " 371 376 377 378 381 388 389 393 399 402 405 425 435 437 450 451 452 473\n",
      " 475 502 503 510]\n",
      "image # 4933, layer # layer4.1.relu has outliers [  4  10  22  39  40  59  60  65  69  73  94  95 102 109 129 133 143 147\n",
      " 152 154 155 163 165 169 171 184 185 204 223 232 240 246 283 290 296 300\n",
      " 307 312 315 321 325 336 354 378 385 386 393 395 402 403 404 408 435 440\n",
      " 449 450 468 475 501 502]\n",
      "image # 5018, layer # layer4.1.relu has outliers [  3   5   9  13  31  34  39  48  51  57  58  75  85  91 105 117 120 132\n",
      " 133 138 139 142 144 154 155 160 170 171 180 181 183 192 193 203 204 220\n",
      " 235 237 256 275 281 294 297 300 307 313 325 334 343 345 354 358 359 367\n",
      " 369 376 382 385 393 396 399 405 406 410 418 420 423 434 457 459 468 480\n",
      " 484 497 507]\n",
      "image # 5049, layer # layer4.1.relu has outliers [  1   5  29  39  54  57  59  61  68  83  93  99 100 105 109 135 152 157\n",
      " 159 165 172 179 181 190 202 205 215 222 224 228 229 238 244 248 252 257\n",
      " 269 270 272 275 288 297 306 314 321 327 328 333 336 339 340 355 358 360\n",
      " 364 366 373 375 376 380 381 382 388 389 401 404 406 409 418 421 425 430\n",
      " 437 439 443 447 450 472 474 475 487 507 509]\n",
      "image # 5193, layer # layer4.1.relu has outliers [ 14  26  34  41  67  72  84  85  93 112 114 116 121 128 131 135 138 150\n",
      " 152 162 165 169 178 179 181 189 192 193 202 207 210 222 234 243 245 261\n",
      " 262 289 304 306 314 317 328 336 340 355 358 375 376 382 386 399 402 404\n",
      " 415 422 424 440 441 442 455 456 462 467 470 472 476 484 487 489 490 493\n",
      " 496 501 507 510 511]\n",
      "image # 5244, layer # layer4.1.relu has outliers [ 13  25  83 101 102 126 132 138 139 140 142 145 148 151 152 154 155 160\n",
      " 161 169 177 182 184 186 193 198 199 202 203 206 208 211 219 236 240 251\n",
      " 256 261 262 278 280 300 301 307 313 315 321 325 340 347 352 354 359 367\n",
      " 377 382 384 388 396 399 405 446 456 482 489 492 497 503]\n",
      "image # 5434, layer # layer4.1.relu has outliers [  0  10  13  25  33  37  44  61  63  68 107 119 129 130 135 138 144 165\n",
      " 179 181 192 197 202 204 214 222 230 245 258 274 288 300 303 306 314 317\n",
      " 322 328 333 339 348 353 355 365 386 393 399 402 415 416 418 422 423 425\n",
      " 444 464 470 496 507 509]\n",
      "image # 5518, layer # layer4.1.relu has outliers [  8  13  25  32  37  43  70  81 101 103 107 111 124 127 129 144 154 163\n",
      " 171 192 195 211 217 231 237 258 262 320 353 390 391 393 399 415 418 425\n",
      " 434 436 437 444 456 464 467 470 480 482 500]\n",
      "image # 5533, layer # layer4.1.relu has outliers [ 13  37  47  58  83  85  89  95 100 107 126 128 132 135 152 158 165 178\n",
      " 181 201 202 210 219 220 226 236 237 240 249 257 262 270 281 285 288 299\n",
      " 303 304 307 314 317 324 354 362 364 376 378 382 389 393 399 405 406 415\n",
      " 422 428 432 441 442 443 473 481 487 489 501 502 504 510]\n",
      "image # 5576, layer # layer4.1.relu has outliers [ 13  16  25  34  36  87 101 103 108 110 115 126 138 139 140 145 152 154\n",
      " 159 160 165 169 172 173 180 181 184 187 192 193 198 199 206 208 211 226\n",
      " 231 235 236 240 247 251 259 261 262 267 270 271 278 280 281 283 285 291\n",
      " 302 313 318 325 347 354 358 364 367 377 378 381 384 388 391 396 405 426\n",
      " 447 448 451 468 473 477 481 489 497 510]\n",
      "image # 5611, layer # layer4.1.relu has outliers [  7  18  19  32  46  48  58  59  65  66  71  81  83  85  89  92  94 114\n",
      " 126 127 132 133 139 142 147 155 166 170 175 176 178 181 193 196 202 227\n",
      " 237 240 245 249 256 258 275 278 279 281 294 306 307 318 326 340 343 345\n",
      " 355 382 393 399 414 415 418 437 438 450 451 455 456 457 465 473 480 491\n",
      " 492 501 507 510 511]\n",
      "image # 5633, layer # layer4.1.relu has outliers [  3  13  37  63  72  93  95 102 126 135 146 152 154 157 159 160 165 178\n",
      " 179 192 194 198 203 206 208 210 211 226 232 236 259 261 262 283 285 288\n",
      " 299 301 307 314 325 347 359 371 376 378 382 386 393 396 401 404 405 424\n",
      " 430 448 455 458 472 482 485 489 498 500 507 510]\n",
      "image # 5727, layer # layer4.1.relu has outliers [ 13  14  33  34  37  39  55  63  76  85  93  95  99 109 124 125 128 138\n",
      " 154 155 165 178 179 181 184 192 194 197 201 202 206 208 220 224 232 236\n",
      " 251 262 288 289 299 300 303 307 314 317 324 336 339 347 362 367 371 376\n",
      " 378 380 396 399 429 432 441 442 457 478 484 485 489 507 510]\n",
      "image # 5805, layer # layer4.1.relu has outliers [  8  13  25  33  37  39  43  46  48  49  57  59  63  68  99 101 108 111\n",
      " 115 138 141 142 144 154 157 163 165 170 172 179 190 192 202 207 215 220\n",
      " 222 231 255 262 303 304 310 311 333 353 355 359 376 381 390 391 393 402\n",
      " 406 407 409 413 415 425 444 458 459 464 465 470 475]\n",
      "image # 5820, layer # layer4.1.relu has outliers [  5  13  25  37  39  43  49  63  65  85  93  99 100 102 107 130 132 138\n",
      " 139 150 154 155 179 190 192 193 197 201 204 212 217 230 231 245 262 275\n",
      " 288 300 304 311 317 322 339 354 362 380 382 393 399 404 409 415 422 425\n",
      " 428 444 448 457 459 467 470 474 489 507]\n",
      "image # 5902, layer # layer4.1.relu has outliers [  6  10  25  40  58  59  63  66  72  82  84  85  89 102 112 121 124 132\n",
      " 139 145 152 154 155 161 169 179 180 189 192 193 194 197 206 208 210 211\n",
      " 219 226 235 246 251 261 276 278 283 285 299 300 306 307 313 324 325 345\n",
      " 346 352 354 359 370 378 382 396 449 453 454 456 471 481 482 485 490 492\n",
      " 497 510]\n",
      "image # 5988, layer # layer4.1.relu has outliers [  1   3  13  14  33  34  37  68  72  83  85 115 119 124 134 135 140 154\n",
      " 160 161 165 169 172 178 179 192 193 194 199 201 202 219 222 231 237 240\n",
      " 262 280 288 300 314 315 325 331 358 374 377 381 382 389 399 404 405 418\n",
      " 425 428 430 441 448 457 474 475 478 487 496 507 510]\n",
      "image # 6046, layer # layer4.1.relu has outliers [  9  17  45  54  58  59  65  69  76  85  87  92  94 114 118 134 135 138\n",
      " 139 147 159 161 165 178 179 181 184 193 201 206 207 226 232 236 243 249\n",
      " 250 261 279 281 285 299 307 324 325 345 352 354 373 391 393 396 406 408\n",
      " 409 418 424 425 435 440 448 449 455 458 475 496 501 503 510]\n",
      "image # 6114, layer # layer4.1.relu has outliers [ 13  29  46  48  73  79  92 102 111 139 142 159 176 191 211 227 229 270\n",
      " 271 276 281 282 313 317 318 324 326 340 352 353 367 391 393 399 401 406\n",
      " 415 425 431 434 435 437 452 455 459 471 486 504]\n",
      "image # 6237, layer # layer4.1.relu has outliers [  7  28  34  36  37  39  56  57  59  74  96 103 123 126 133 139 155 165\n",
      " 169 178 181 185 210 212 220 224 226 229 236 239 249 253 257 266 281 299\n",
      " 313 314 318 322 343 360 365 376 377 379 380 393 401 407 424 434 442 443\n",
      " 447 457 473 481 492 497 502 508 510]\n",
      "image # 6249, layer # layer4.1.relu has outliers [  1  11  14  17  19  21  34  36  42  59  68  84  88  93  95 102 104 109\n",
      " 126 143 147 152 159 169 178 179 187 189 193 194 211 227 243 249 251 290\n",
      " 299 300 303 306 308 314 315 321 340 344 351 373 377 379 386 392 404 406\n",
      " 408 424 430 432 441 442 443 481 487 510]\n",
      "image # 6285, layer # layer4.1.relu has outliers [  3  10  19  34  39  56  58  59  70  77  91 102 105 139 140 142 144 171\n",
      " 177 179 182 192 198 203 216 223 225 228 229 231 256 261 271 274 276 281\n",
      " 290 295 299 300 301 311 318 321 324 325 336 338 344 352 359 363 373 385\n",
      " 393 396 397 409 423 430 434 435 455 457 465 480 482 485 497]\n",
      "image # 6346, layer # layer4.1.relu has outliers [  0  13  29  33  34  37  39  68  72 111 125 128 132 135 137 138 152 155\n",
      " 172 179 181 201 211 220 222 224 227 252 282 289 290 299 307 313 314 317\n",
      " 351 353 354 358 381 382 393 399 404 406 408 409 415 432 434 441 487 489\n",
      " 496 507 508]\n",
      "image # 6426, layer # layer4.1.relu has outliers [ 13  32  33  34  40  51  52  59  73  83  95 102 124 126 129 134 152 154\n",
      " 159 165 169 172 184 192 194 210 211 217 224 237 256 262 283 288 289 290\n",
      " 300 301 303 313 314 317 325 326 331 352 359 364 368 376 383 391 399 402\n",
      " 405 425 435 437 441 458 471 475]\n",
      "image # 6436, layer # layer4.1.relu has outliers [ 13  18  25  32  36  40  49  64  80  95 101 102 107 126 139 152 154 155\n",
      " 165 169 186 187 189 191 204 206 211 216 220 223 227 235 240 241 246 262\n",
      " 270 283 288 308 313 317 318 322 324 325 342 343 350 352 354 363 376 378\n",
      " 380 393 415 416 433 435 442 447 454 455 473 481 483 495 497 510]\n",
      "image # 6499, layer # layer4.1.relu has outliers [  6  25  41  66  73  83  85  87  93 102 109 126 129 134 139 140 154 155\n",
      " 161 165 168 169 178 183 192 201 202 211 226 229 231 240 251 256 261 262\n",
      " 272 278 281 288 290 300 303 311 324 340 352 364 367 371 376 377 378 388\n",
      " 393 399 402 403 404 405 408 418 425 430 435 449 450 458 496 510]\n",
      "image # 6513, layer # layer4.1.relu has outliers [ 13  33  37  39  61  63  72  76  85  93  95 100 101 102 119 138 165 179\n",
      " 181 192 197 206 212 217 230 231 255 261 274 288 300 303 304 307 314 317\n",
      " 322 339 355 380 386 393 396 399 402 405 425 448 457 489 496 500 507]\n",
      "image # 6614, layer # layer4.1.relu has outliers [  0  13  31  33  37  44  49  61  65  68  83  85 100 107 119 124 127 138\n",
      " 161 165 177 178 179 192 193 222 245 248 274 275 288 300 306 314 315 322\n",
      " 328 336 353 355 360 364 373 376 389 393 399 402 417 418 422 423 425 430\n",
      " 440 443 464 470 475 503 509]\n",
      "image # 6747, layer # layer4.1.relu has outliers [  1   5  13  29  37  49  57  61  65  68  72  85  87  89  99 100 107 111\n",
      " 129 138 151 152 154 155 165 170 179 192 202 212 213 222 229 230 237 248\n",
      " 258 260 275 287 296 305 310 314 315 328 339 353 355 358 360 364 365 373\n",
      " 376 380 381 389 390 393 399 401 402 405 406 407 418 425 430 437 443 464\n",
      " 470 475 499 501]\n",
      "image # 6824, layer # layer4.1.relu has outliers [ 13  37 106 137 139 177 183 217 278 390 426 449]\n",
      "image # 6908, layer # layer4.1.relu has outliers [  1   7  10  13  32  34  54  59  60  68  69  76  87  89 101 123 128 135\n",
      " 138 140 143 155 161 165 169 172 178 187 195 202 206 208 210 219 222 226\n",
      " 229 240 262 263 270 272 279 281 287 288 289 300 306 307 314 315 317 328\n",
      " 339 359 376 378 388 393 394 399 401 402 405 450 462 466 475 502 503 507\n",
      " 510]\n",
      "image # 6931, layer # layer4.1.relu has outliers [ 13  31  37  43  46  63  74  77  85  93 102 103 107 137 139 150 190 192\n",
      " 197 203 204 217 220 325 345 349 376 390 436 449 497]\n",
      "image # 6972, layer # layer4.1.relu has outliers [ 17  18  34  42  73 101 102 111 155 159 161 169 171 192 206 226 240 255\n",
      " 262 270 274 276 288 299 300 314 354 370 386 391 393 397 399 405 497]\n",
      "image # 6974, layer # layer4.1.relu has outliers [  1   6   9  15  25  41  44  46  76  95 100 104 134 135 147 161 171 181\n",
      " 186 192 194 199 210 211 212 214 220 226 243 252 259 260 261 274 275 276\n",
      " 278 281 300 303 306 311 314 317 331 362 364 367 385 386 390 391 399 400\n",
      " 402 408 413 414 422 425 430 435 437 449 458 462 496 506 511]\n",
      "image # 7114, layer # layer4.1.relu has outliers [  0  17  29  33  39  44  49  61  63  64  65  66  68  72  73  81  82  84\n",
      "  87 109 111 124 134 135 137 138 143 154 165 169 178 179 181 185 189 201\n",
      " 202 222 226 232 262 288 299 308 317 335 340 351 353 357 358 362 379 401\n",
      " 402 404 408 413 425 435 443 446 456 458 475 496 510]\n",
      "image # 7232, layer # layer4.1.relu has outliers [  3  21  25  26  31  40  55  58  63  72  76  89  91 102 124 125 139 142\n",
      " 145 152 154 160 167 169 180 181 190 191 192 193 204 206 208 210 211 220\n",
      " 223 236 246 251 261 276 281 291 307 325 343 346 350 352 354 363 380 396\n",
      " 415 432 441 457 467 471 481 484 485 490 497 501]\n",
      "image # 7243, layer # layer4.1.relu has outliers [  3   5  17  21  31  32  34  37  39  43  46  56  59  80  81  85  87 103\n",
      " 107 109 115 124 137 138 139 140 152 154 155 165 179 181 193 198 205 219\n",
      " 226 227 229 231 236 251 260 299 303 305 311 314 315 318 321 325 340 352\n",
      " 365 373 379 381 382 393 403 404 405 406 407 409 424 428 438 444 452 458\n",
      " 459 467 475 476 510]\n",
      "image # 7310, layer # layer4.1.relu has outliers [  1  12  13  15  25  27  32  34  51  57 115 125 129 140 142 150 151 156\n",
      " 159 162 166 168 171 172 183 196 203 210 229 237 244 252 263 275 278 282\n",
      " 287 300 305 315 331 369 373 379 387 391 399 401 403 418 420 425 437 439\n",
      " 445 446 450 461 462 474 475 499 510 511]\n",
      "image # 7357, layer # layer4.1.relu has outliers [  1  24  25  34  37  49  57  62  68  89 101 103 106 107 111 128 129 130\n",
      " 138 149 157 161 163 165 177 179 192 197 202 211 212 213 220 237 245 246\n",
      " 248 262 272 275 296 300 306 311 315 316 317 328 341 353 355 362 364 369\n",
      " 373 380 381 389 390 391 393 399 407 418 421 422 425 434 437 440 441 459\n",
      " 462 464 470 474 475 500 507]\n",
      "image # 7370, layer # layer4.1.relu has outliers [ 33  34  37  39  48  54  56  59  66  68  76  83  85 102 111 127 128 132\n",
      " 134 135 138 147 165 172 178 181 202 205 210 213 219 222 227 229 230 249\n",
      " 257 270 279 280 288 299 303 304 307 314 315 340 355 364 367 376 380 382\n",
      " 389 393 395 399 401 402 404 405 406 424 432 450 455 457 458 475 487 501\n",
      " 507 510]\n",
      "image # 7385, layer # layer4.1.relu has outliers [  3   5  13  21  25  37  39  59  65  72  76  83  85  89  92 102 124 132\n",
      " 134 137 138 152 154 155 165 169 172 173 178 179 193 194 202 206 210 211\n",
      " 213 224 226 232 251 261 299 301 307 310 313 315 317 352 358 376 380 382\n",
      " 393 399 404 408 409 415 420 430 434 455 456 457 458 489 496 507 508 510]\n",
      "image # 7416, layer # layer4.1.relu has outliers [  6  13  14  41  46  52  75  93 102 109 125 126 139 152 154 155 161 165\n",
      " 169 172 184 192 201 203 206 210 211 217 232 235 243 252 256 261 262 266\n",
      " 276 281 283 289 290 299 300 307 313 318 324 325 340 343 352 354 358 367\n",
      " 376 377 378 382 393 408 415 434 435 455 458 472 487 489 490 497 501 508\n",
      " 510 511]\n",
      "image # 7494, layer # layer4.1.relu has outliers [ 13  25  34  41  46  54  58  59  62  65  75  83  85 102 109 126 132 133\n",
      " 138 139 140 142 152 155 165 170 173 178 181 182 186 206 227 246 254 256\n",
      " 261 262 281 300 302 307 313 314 321 325 354 364 367 376 377 382 393 402\n",
      " 404 405 406 408 424 434 450 451 455 458 468 476 487 496 501 508 510]\n",
      "image # 7504, layer # layer4.1.relu has outliers [  3  13  19  25  29  31  37  39  43  49  61  63  65  70  72  83  85  89\n",
      "  99 106 107 132 138 140 145 152 154 157 170 179 192 193 204 213 222 232\n",
      " 233 245 247 272 275 307 310 315 325 328 347 353 359 371 374 381 382 393\n",
      " 399 406 407 409 418 425 430 457 465 482 489]\n",
      "image # 7515, layer # layer4.1.relu has outliers [  5  10  13  17  25  28  33  34  40  52  59  68  73  76  87  93  95 102\n",
      " 109 113 123 129 134 143 159 165 169 178 187 193 194 205 207 210 215 222\n",
      " 226 227 229 236 243 246 252 281 289 290 291 298 300 303 307 311 313 314\n",
      " 317 321 324 354 358 362 377 383 391 393 399 400 402 408 422 432 434 435\n",
      " 443 448 452 458 496]\n",
      "image # 7659, layer # layer4.1.relu has outliers [  6  25  37  39  44  46  49  73  85  87  89  93  99 101 102 124 132 138\n",
      " 144 150 154 155 161 165 168 179 183 184 192 201 212 220 222 224 231 235\n",
      " 259 262 274 296 300 317 324 325 336 353 362 382 393 396 399 400 413 423\n",
      " 425 434 449 457 462 464 474 499]\n",
      "image # 7725, layer # layer4.1.relu has outliers [  1   6  12  14  36  38  54  57  59  65  66  95  96 105 109 110 118 120\n",
      " 134 146 147 148 155 156 165 166 172 178 180 183 187 189 194 198 201 202\n",
      " 220 232 234 237 258 270 278 282 290 294 299 300 313 315 321 324 331 351\n",
      " 353 356 357 358 367 369 376 378 383 387 388 389 391 392 403 412 414 418\n",
      " 425 427 430 462 473 480 487 491 496 505 507 510 511]\n",
      "image # 7781, layer # layer4.1.relu has outliers [  4  17  24  34  42  44  46  52  60  76  77  79  80  91  93  95 109 122\n",
      " 123 125 129 134 135 149 159 171 179 182 194 218 219 220 225 228 235 252\n",
      " 259 274 276 285 290 303 311 312 314 321 350 357 363 370 377 378 381 383\n",
      " 390 391 394 397 400 403 405 408 412 423 426 427 432 449 450 484 487 497]\n",
      "image # 7828, layer # layer4.1.relu has outliers [  1  13  31  33  34  37  39  54  59  66  76  93  95 102 103 111 126 128\n",
      " 138 152 154 159 161 165 179 181 183 192 194 197 201 202 206 208 210 212\n",
      " 220 222 231 235 236 240 247 252 261 262 270 276 278 285 288 299 300 303\n",
      " 314 315 324 325 347 354 362 364 365 370 376 378 381 383 388 391 399 405\n",
      " 425 428 432 434 447 449 455 472 473 474 475 482 497 500 507]\n",
      "image # 7915, layer # layer4.1.relu has outliers [  1   3   5  17  32  34  39  59  65  75  87  93 102 109 126 128 133 135\n",
      " 138 152 154 155 165 178 179 183 193 198 202 213 227 231 235 236 237 243\n",
      " 251 252 262 282 290 291 299 300 301 310 313 314 318 319 334 336 340 351\n",
      " 359 365 373 377 380 382 388 393 396 402 403 404 405 406 408 409 424 428\n",
      " 450 456 469 475 507 510]\n",
      "image # 7933, layer # layer4.1.relu has outliers [  5  13  31  37  47  58  59  72  76  84  85  93 119 122 133 135 138 139\n",
      " 152 155 165 180 181 183 189 192 193 194 262 263 277 299 300 303 304 305\n",
      " 307 318 324 325 359 382 386 393 396 405 415 425 434 435 457 459 476 477\n",
      " 489]\n",
      "image # 7969, layer # layer4.1.relu has outliers [ 37  52  59  65  66  72  76  85  93 124 125 128 138 140 147 152 157 160\n",
      " 161 165 169 172 178 179 180 181 192 193 194 206 208 210 219 220 226 232\n",
      " 235 236 237 255 261 278 283 285 288 299 300 314 317 325 328 340 358 371\n",
      " 376 378 382 386 404 405 408 424 442 458 468 482 485 487 489 496 497 503\n",
      " 507 510]\n",
      "image # 8081, layer # layer4.1.relu has outliers [ 13  34  37  43  49  51  58  61  68  72  85  87  93 102 135 138 140 142\n",
      " 143 155 161 165 170 179 181 182 183 192 193 197 198 201 202 213 220 226\n",
      " 230 231 250 262 288 299 300 303 314 317 347 362 373 376 382 389 390 393\n",
      " 394 404 405 406 414 425 432 447 456 475 480 489]\n",
      "image # 8135, layer # layer4.1.relu has outliers [  6  13  25  34  36  44  54  59  61  64  65  84 104 109 118 121 126 129\n",
      " 138 154 159 165 169 178 181 184 193 203 210 217 226 229 232 234 237 249\n",
      " 250 252 258 260 261 283 294 300 306 315 321 325 326 331 367 373 379 388\n",
      " 390 393 399 406 414 420 427 430 438 445 446 449 455 456 459 468 475 481\n",
      " 496 507 510]\n",
      "image # 8138, layer # layer4.1.relu has outliers [  1   2  13  25  34  45  48  49  50  54  62  68  73  83  95  97 102 109\n",
      " 111 128 129 138 144 155 165 170 181 192 201 202 214 222 224 227 245 246\n",
      " 262 269 272 275 281 297 300 305 306 315 316 333 334 353 354 355 362 364\n",
      " 365 373 378 381 391 393 399 402 403 406 407 418 431 437 450 459 462 468\n",
      " 470 474 475 487 504 507]\n",
      "image # 8161, layer # layer4.1.relu has outliers [  1   2  12  14  28  34  39  41  57  59  71  81  83  85 104 105 109 134\n",
      " 138 140 155 165 166 172 181 187 189 196 198 201 202 205 229 237 249 252\n",
      " 257 272 280 282 299 315 321 324 331 340 353 355 357 367 374 376 377 389\n",
      " 393 397 401 402 403 406 408 411 418 424 427 430 438 450 475 496 507]\n",
      "image # 8174, layer # layer4.1.relu has outliers [  1  13  14  33  34  44  46  49  68  76  83  85  95 103 113 123 128 134\n",
      " 135 138 144 155 157 163 165 179 181 192 197 202 213 215 219 222 229 246\n",
      " 249 262 267 272 282 288 300 305 306 315 316 317 328 336 353 360 362 364\n",
      " 365 373 376 381 389 391 393 399 400 421 425 431 434 440 452 458 459 475\n",
      " 487]\n",
      "image # 8253, layer # layer4.1.relu has outliers [ 17  19  33  34  41  52  54  60  64  83  93  95 100 103 114 122 128 134\n",
      " 138 142 147 163 169 181 199 207 210 222 226 243 246 249 250 254 261 262\n",
      " 276 281 288 289 290 300 303 304 306 307 308 321 336 354 364 365 367 376\n",
      " 377 378 389 393 399 402 406 408 431 435 442 443 448 452 458 468 487 493\n",
      " 502 510]\n",
      "image # 8273, layer # layer4.1.relu has outliers [  3  13  25  37  39  43  44  63  70  85  89  99 100 101 102 103 107 111\n",
      " 137 138 154 155 163 165 170 181 190 192 201 202 204 212 213 223 224 237\n",
      " 259 262 307 316 328 341 347 353 355 359 362 381 390 393 396 399 401 415\n",
      " 423 434 449 459 470 500]\n",
      "image # 8342, layer # layer4.1.relu has outliers [  1  13  37  54  61  68  69  85  89  93  95  99 101 134 135 140 147 154\n",
      " 161 166 178 179 181 187 192 194 197 199 210 213 219 226 236 237 262 267\n",
      " 279 280 285 288 299 303 314 315 321 358 365 371 373 376 378 386 394 395\n",
      " 401 405 411 412 425 430 450 480 482 487 489 500 503 507]\n",
      "image # 8353, layer # layer4.1.relu has outliers [  1   2  10  13  29  33  34  52  54  62  83  87  93  95  97 102 107 109\n",
      " 111 128 129 132 138 144 155 159 165 169 170 172 192 200 201 202 208 211\n",
      " 220 222 224 227 229 231 235 240 242 252 262 272 290 297 300 303 307 311\n",
      " 313 314 317 325 331 365 367 384 391 393 399 402 404 405 406 409 418 425\n",
      " 427 449 450 459 472 475 487 496 507]\n",
      "image # 8358, layer # layer4.1.relu has outliers [  5  13  25  33  37  39  40  49  52  58  65  66  73  76  95 102 104 124\n",
      " 126 132 139 152 154 167 169 181 192 193 197 206 207 210 211 217 220 223\n",
      " 226 232 236 246 256 261 262 274 281 289 300 303 304 307 317 325 333 336\n",
      " 352 354 362 377 378 386 393 402 409 415 416 422 435 452 455 457 459 468\n",
      " 489 501]\n",
      "image # 8372, layer # layer4.1.relu has outliers [ 13  14  34  40  44  54  59  62  73  89 101 102 129 135 138 147 154 155\n",
      " 161 165 170 172 179 181 192 201 202 219 225 227 231 237 246 249 258 272\n",
      " 276 297 300 306 315 325 328 331 336 353 358 359 364 373 376 378 381 388\n",
      " 389 390 391 393 399 403 418 425 434 435 440 443 450 452 455 462 467 475\n",
      " 491 507]\n",
      "image # 8535, layer # layer4.1.relu has outliers [ 10  11  12  13  33  34  37  51  54  76  83  85  87  93  95 102 104 113\n",
      " 124 126 129 134 138 140 148 154 155 161 165 166 170 172 180 181 182 183\n",
      " 192 194 197 199 201 205 207 208 210 229 235 240 250 252 262 267 272 281\n",
      " 282 290 299 300 313 314 315 321 324 325 331 353 358 364 365 367 373 377\n",
      " 378 381 382 388 391 399 404 405 406 408 409 418 425 430 434 448 450 458\n",
      " 475 480 507]\n",
      "image # 8544, layer # layer4.1.relu has outliers [ 13  34  37  39  49  58  72  81  83  85  89  95 102 105 132 134 135 138\n",
      " 157 165 169 172 178 179 181 193 197 202 205 210 213 222 226 230 232 245\n",
      " 249 258 260 275 299 300 303 304 306 314 317 353 355 376 381 382 386 389\n",
      " 390 399 401 405 411 425 430 438 470 475 480 489 507 510]\n",
      "image # 8612, layer # layer4.1.relu has outliers [ 13  25  37  89 101 103 106 129 154 155 188 192 203 211 217 232 251 258\n",
      " 274 311 341 353 390 393 399 415 425 444 449 459]\n",
      "image # 8717, layer # layer4.1.relu has outliers [  1   9  14  19  21  25  37  41  65  72  79  96 102 109 110 114 120 125\n",
      " 126 129 134 137 142 147 150 152 154 165 169 172 178 193 201 202 216 251\n",
      " 256 261 262 281 283 289 290 293 294 299 308 313 317 321 325 334 340 354\n",
      " 367 376 377 378 392 393 399 402 415 420 427 435 442 451 456 476 497 501\n",
      " 507 508 510]\n",
      "image # 8755, layer # layer4.1.relu has outliers [  0   3  11  13  37  43  49  85  89  99 106 107 127 128 135 138 143 154\n",
      " 157 164 165 170 179 181 192 197 201 202 214 219 222 232 237 245 247 248\n",
      " 249 258 260 267 272 275 299 304 314 328 340 353 355 373 380 383 386 389\n",
      " 390 393 399 401 406 408 425 434 443 470 474 489 507]\n",
      "image # 8800, layer # layer4.1.relu has outliers [ 12  14  25  45  73 102 103 126 127 138 139 140 154 155 161 165 182 183\n",
      " 191 192 198 201 202 227 229 231 240 243 262 266 270 271 278 281 282 290\n",
      " 297 300 311 313 317 324 334 340 352 353 354 383 391 393 397 403 405 408\n",
      " 414 418 434 435 450 455 458 467 496]\n",
      "image # 8909, layer # layer4.1.relu has outliers [  8  13  25  27  44  46  54  66  73  85  89 101 102 106 107 111 138 144\n",
      " 154 155 163 171 191 192 195 211 232 246 262 278 328 341 342 346 349 353\n",
      " 354 355 362 369 390 393 397 401 409 415 422 425 436 449 464 489 497]\n",
      "image # 8923, layer # layer4.1.relu has outliers [ 13  25  34  37  59  66  85  89  95  97 102 103 105 107 110 111 127 128\n",
      " 129 132 138 140 154 155 161 165 169 177 178 181 183 192 201 202 207 210\n",
      " 212 224 226 235 237 240 254 258 261 262 270 276 278 281 299 300 301 307\n",
      " 314 317 325 328 334 340 352 353 355 358 359 362 367 376 378 389 391 393\n",
      " 399 401 402 408 415 418 422 443 455 467 468 480 511]\n",
      "image # 8930, layer # layer4.1.relu has outliers [  1  11  12  13  14  33  39  61  69  85  99 101 109 112 113 118 128 134\n",
      " 135 138 142 154 156 165 169 170 172 179 181 192 194 198 202 222 226 229\n",
      " 231 232 235 237 249 253 262 288 300 306 314 315 321 328 336 358 359 365\n",
      " 373 374 376 378 382 386 388 399 403 405 408 412 424 425 439 443 446 450\n",
      " 475 482 485 491 493 496 510]\n",
      "image # 8933, layer # layer4.1.relu has outliers [ 13  14  33  34  37  39  59  68  72  83  85  93  95 121 124 125 135 138\n",
      " 155 166 170 172 178 179 181 192 193 194 201 202 203 207 210 222 249 262\n",
      " 279 290 307 314 321 347 353 355 358 373 374 376 381 391 399 402 406 418\n",
      " 430 448 462 475 487 496 507]\n",
      "image # 8996, layer # layer4.1.relu has outliers [  3   9  14  17  18  19  21  39  50  65  71  72  76  91  95 100 106 109\n",
      " 110 116 126 128 139 152 154 167 178 180 193 211 220 223 232 243 251 254\n",
      " 266 281 283 289 290 291 296 299 300 301 307 310 313 318 324 343 346 350\n",
      " 352 378 382 386 393 396 415 442 451 455 456 457 465 468 484 490 497 501\n",
      " 508 510]\n",
      "image # 9047, layer # layer4.1.relu has outliers [  1  17  29  33  34  68  83  95 109 115 123 134 135 138 152 159 172 178\n",
      " 181 184 193 199 201 218 222 226 227 229 243 256 262 269 288 289 290 297\n",
      " 303 305 314 315 321 336 340 364 365 367 376 377 379 383 399 408 424 441\n",
      " 442 452 453 455 459 475 476 487 507 510]\n",
      "image # 9111, layer # layer4.1.relu has outliers [ 11  33  34  39  49  56  59  85 100 105 128 134 138 155 161 163 166 169\n",
      " 178 181 192 197 202 205 215 222 226 229 230 240 243 249 272 279 281 287\n",
      " 304 314 340 353 355 364 365 373 386 389 391 399 402 405 406 408 412 414\n",
      " 424 425 440 448 458 475 480 493 502 504 507]\n",
      "image # 9208, layer # layer4.1.relu has outliers [  0  13  25  27  29  37  43  46  49  70  85  99 101 107 111 137 138 140\n",
      " 144 155 163 165 166 170 177 179 192 197 201 202 220 222 228 230 231 237\n",
      " 248 267 272 300 305 315 322 333 351 353 355 360 373 381 389 393 399 406\n",
      " 407 409 418 425 437 439 450 464 470 480]\n",
      "image # 9320, layer # layer4.1.relu has outliers [  1   5   9  17  21  26  39  40  44  59  60  61  65  68  69  71  72  76\n",
      "  85  89 100 113 119 122 123 130 132 147 149 150 152 162 165 170 184 191\n",
      " 196 199 202 207 212 224 225 230 238 248 249 254 263 268 270 279 290 297\n",
      " 305 307 311 313 314 321 328 331 343 355 357 364 375 381 391 417 422 432\n",
      " 435 440 441 443 457 462 470 475 493 498 511]\n",
      "image # 9333, layer # layer4.1.relu has outliers [  0  13  25  33  37  39  40  41  44  47  49  58  61  63  72  76  85  89\n",
      "  93  95  99 111 119 121 128 129 138 149 150 155 161 169 173 179 181 200\n",
      " 207 211 212 219 220 222 230 232 237 246 262 274 300 304 307 317 325 336\n",
      " 353 362 382 393 399 402 404 431 432 452 456 458 459 462 464 470 478 489\n",
      " 496 503 504]\n",
      "image # 9585, layer # layer4.1.relu has outliers [ 21  39  52  60  68  99 123 124 125 132 150 155 165 167 171 177 178 179\n",
      " 183 192 217 220 226 245 248 264 277 289 290 307 321 328 341 351 355 360\n",
      " 362 396 415 417 421 434 441 449 457 459 461 470 476 484 506]\n",
      "image # 9597, layer # layer4.1.relu has outliers [ 25  34  66 102 107 110 139 165 192 206 208 241 246 251 261 262 266 313\n",
      " 317 324 349 354 393 399 415 447 454 455 471 497]\n",
      "image # 9598, layer # layer4.1.relu has outliers [  4  13  25  27  33  38  46  54  68  73  85  89 101 107 124 129 132 155\n",
      " 161 163 171 173 177 182 186 188 191 195 211 214 246 259 262 278 293 315\n",
      " 324 341 345 351 353 354 355 369 373 390 393 399 401 425 426 427 447 449\n",
      " 459 464 474 480 497 500]\n",
      "image # 9611, layer # layer4.1.relu has outliers [  1   5  10  25  37  44  49  62  76 100 107 108 111 119 130 135 138 144\n",
      " 149 161 163 181 183 192 197 213 222 223 224 231 246 272 274 275 300 303\n",
      " 314 315 333 336 339 353 355 364 373 376 380 381 391 393 399 406 409 422\n",
      " 423 425 431 449 457 462 464 470 475 484 500 507]\n",
      "image # 9655, layer # layer4.1.relu has outliers [  3  12  13  25  31  34  37  77  83 101 102 107 108 126 138 139 140 142\n",
      " 145 146 152 154 157 165 169 172 180 192 193 198 202 203 204 208 211 219\n",
      " 223 231 235 237 240 251 256 262 318 324 325 347 359 367 371 376 381 382\n",
      " 388 393 399 404 405 415 425 434 448 450 451 458 475 482 485 489 497]\n",
      "image # 9716, layer # layer4.1.relu has outliers [  0  11  13  25  33  34  37  39  63  95 102 111 118 124 126 132 135 138\n",
      " 139 140 152 154 155 159 161 165 169 172 179 181 183 184 192 194 198 201\n",
      " 202 203 204 211 219 223 231 232 235 240 246 252 257 262 266 267 274 278\n",
      " 299 300 307 314 321 325 354 359 362 367 373 376 377 378 381 393 396 399\n",
      " 408 412 434 435 458 482 487 497]\n",
      "image # 9807, layer # layer4.1.relu has outliers [  3   7  13  25  39  43  70  74  77  89  97 101 103 106 107 124 132 137\n",
      " 145 149 154 167 171 173 180 184 192 211 264 274 283 289 295 307 328 346\n",
      " 351 353 354 355 360 390 393 396 409 410 415 425 444 449 453 457 459 470\n",
      " 497]\n",
      "image # 9854, layer # layer4.1.relu has outliers [  1   2  10  13  25  29  44  46  52  63  65  72  76  84  85  87 104 122\n",
      " 125 134 135 138 142 155 159 165 169 181 186 189 192 199 201 208 222 230\n",
      " 232 234 243 246 261 262 278 280 288 300 313 324 325 331 354 358 359 367\n",
      " 371 382 386 402 405 408 425 430 435 437 451 475 477 496 507 510]\n",
      "image # 9870, layer # layer4.1.relu has outliers [  1  13  14  29  33  34  37  41  44  47  48  51  57  68  85 134 142 156\n",
      " 161 165 169 172 178 181 183 193 201 217 222 227 229 230 237 246 249 258\n",
      " 263 288 300 303 305 314 315 331 336 358 364 365 387 388 399 402 403 405\n",
      " 406 411 416 418 425 428 437 443 448 450 459 468 475 501 507 510]\n",
      "image # 9914, layer # layer4.1.relu has outliers [ 11  13  33  49  59  61  72  76  83  85  87  93 115 128 135 138 152 157\n",
      " 165 170 179 181 194 202 213 219 222 226 229 230 231 232 237 240 257 262\n",
      " 288 299 303 314 315 317 336 353 355 364 365 371 373 376 381 382 389 390\n",
      " 399 404 405 409 424 425 430 432 439 443 458 475 482 487 489 507]\n",
      "image # 9937, layer # layer4.1.relu has outliers [  1   3  10  12  13  56  59  69  72  85  87  93 102 108 111 121 138 140\n",
      " 154 157 161 165 168 169 179 181 184 192 193 194 195 198 202 210 226 229\n",
      " 231 237 240 250 251 256 261 262 280 288 299 300 321 325 347 359 365 371\n",
      " 376 378 381 382 386 393 399 401 404 405 408 412 425 430 435 450 458 475\n",
      " 478 480 482 489 496 500 502]\n",
      "image # 10055, layer # layer4.1.relu has outliers [ 17  29  33  34  37  39  46  48  54  59  69  76  83  93 113 128 134 135\n",
      " 138 155 157 161 165 169 172 179 181 192 202 205 219 222 229 230 240 249\n",
      " 257 262 272 282 287 288 300 303 314 315 328 336 364 365 367 373 376 377\n",
      " 378 381 386 388 389 393 399 402 403 405 409 418 424 431 438 440 443 458\n",
      " 475 487 496 501 504]\n",
      "image # 10087, layer # layer4.1.relu has outliers [  1   5  13  25  34  37  39  54  62  83  85  95 101 102 103 107 128 137\n",
      " 138 140 152 154 165 172 178 183 192 193 201 202 204 213 217 219 222 236\n",
      " 262 272 298 300 301 303 314 315 316 317 322 336 345 351 365 367 373 376\n",
      " 380 386 389 393 396 399 403 404 405 406 407 420 428 436 452 467 475 507]\n",
      "image # 10129, layer # layer4.1.relu has outliers [  5  13  25  37  39  43  49  57  72 100 105 106 107 108 111 127 130 142\n",
      " 150 152 154 172 178 179 192 194 200 202 222 245 256 258 260 262 272 306\n",
      " 310 314 315 317 322 348 353 355 358 376 380 381 393 399 401 402 407 415\n",
      " 425 464 470 491 501]\n",
      "image # 10156, layer # layer4.1.relu has outliers [  5  13  31  37  39  57  68  69  72  83  89  99 100 103 107 115 138 150\n",
      " 154 155 165 170 179 192 193 197 202 203 204 212 213 220 222 229 230 237\n",
      " 245 247 250 268 310 311 314 315 316 317 322 341 353 355 357 360 362 365\n",
      " 371 376 381 382 390 391 393 399 405 409 415 422 425 430 434 444 447 456\n",
      " 457 465 470 475 482 489 500 507]\n",
      "image # 10193, layer # layer4.1.relu has outliers [ 11  13  25  54  58  63  70  72  74  85  89 102 103 106 107 138 139 154\n",
      " 177 179 181 188 192 201 217 230 231 232 247 274 324 345 353 359 371 386\n",
      " 390 399 401 406 422 434 448 455 457 458 474]\n",
      "image # 10209, layer # layer4.1.relu has outliers [  3   9  17  21  26  37  39  55  58  70  71  72  76  84  91 109 147 154\n",
      " 155 160 169 179 180 181 182 183 186 189 204 206 210 220 226 232 251 254\n",
      " 258 264 266 290 294 299 307 313 321 343 345 346 354 358 359 362 377 385\n",
      " 386 395 396 402 404 405 408 424 430 442 455 458 477 485 497 508 510]\n",
      "image # 10225, layer # layer4.1.relu has outliers [  1   3   9  13  19  22  37  39  59  63  65  66  69  85  99 104 107 118\n",
      " 132 137 138 142 154 166 170 179 180 181 185 192 193 194 202 204 228 229\n",
      " 232 235 237 249 251 258 260 261 275 283 299 308 310 317 320 328 336 358\n",
      " 360 376 382 389 399 406 420 423 430 440 455 456 457 465 470 475 479 480\n",
      " 482 484 485 487 491 496 501]\n",
      "image # 10251, layer # layer4.1.relu has outliers [  0   7   9  14  34  48  50  62  79  84  88  95 102 109 116 129 134 147\n",
      " 161 166 169 187 192 201 207 227 232 238 245 275 278 290 300 313 317 331\n",
      " 335 350 369 373 383 385 391 393 399 400 403 408 409 413 414 418 434 437\n",
      " 448 450 460 496 507 510]\n",
      "image # 10259, layer # layer4.1.relu has outliers [  3  21  31  34  37  39  49  59  64  70  72  76  85  89  95 119 123 128\n",
      " 130 135 137 138 147 152 163 178 179 183 192 193 202 204 211 213 226 227\n",
      " 232 236 251 257 260 262 299 301 303 308 310 314 317 321 336 343 347 360\n",
      " 362 373 376 382 386 389 393 396 399 404 407 415 424 431 432 434 441 442\n",
      " 458 465 476 487 489 496 510]\n",
      "image # 10263, layer # layer4.1.relu has outliers [  3  13  25  34  36  46  68  87  95 101 102 109 124 129 134 138 154 155\n",
      " 161 165 169 172 178 184 187 192 193 197 208 211 235 259 261 262 276 283\n",
      " 300 301 303 315 317 325 331 362 365 367 371 377 391 393 396 399 400 404\n",
      " 405 415 425 435 439 443 447 452 457 458 467 500]\n",
      "image # 10269, layer # layer4.1.relu has outliers [  3   4  11  13  25  37  44  54  66  73  74  77 101 103 106 107 111 128\n",
      " 132 141 144 163 171 177 188 192 202 204 223 231 237 247 295 297 315 319\n",
      " 324 336 341 342 349 350 351 353 355 360 363 369 373 376 380 383 390 391\n",
      " 393 396 399 401 408 409 410 415 425 434 436 439 447 457 464 480 482 484\n",
      " 497]\n",
      "image # 10273, layer # layer4.1.relu has outliers [  0   1  13  25  29  33  34  46  48  50  57  68  88  89 101 115 128 129\n",
      " 134 135 155 166 170 172 177 178 179 188 203 215 220 222 224 232 248 257\n",
      " 269 272 278 305 313 314 315 317 319 329 331 345 351 353 356 357 362 364\n",
      " 373 375 381 383 387 391 399 403 407 411 418 425 437 439 440 441 450 459\n",
      " 462 474 475 491 494 500 507]\n",
      "image # 10297, layer # layer4.1.relu has outliers [  4  13  33  43  44  47  49  55  57  61  64  65  68  89  99 107 137 138\n",
      " 143 150 154 157 165 170 178 179 195 202 203 204 222 226 230 237 245 248\n",
      " 299 306 310 314 315 328 341 353 360 362 367 371 376 378 389 393 399 401\n",
      " 407 415 425 430 434 447 448 470 474 475 482 502]\n",
      "image # 10343, layer # layer4.1.relu has outliers [  4   7  13  19  24  25  31  37  43  44  46  49  68  70  74  77  83  85\n",
      "  89  99 101 103 106 107 128 129 132 138 150 155 163 173 182 188 195 197\n",
      " 202 211 237 246 248 259 260 316 317 320 341 345 351 353 354 355 362 393\n",
      " 399 401 406 415 422 441 447 449 459 464 467 470 474 476 489 497]\n",
      "image # 10377, layer # layer4.1.relu has outliers [ 17  29  34  40  44  51  54  55  67  68  85  89 113 114 119 128 135 161\n",
      " 162 166 169 178 181 193 210 213 217 226 230 236 246 248 249 272 279 288\n",
      " 304 306 307 314 328 331 336 365 375 383 395 409 411 414 432 438 440 441\n",
      " 448 459 470 475 507 511]\n",
      "image # 10385, layer # layer4.1.relu has outliers [  4  13  25  27  54  74 106 129 163 195 211 236 274 320 341 345 353 390\n",
      " 393 434]\n",
      "image # 10398, layer # layer4.1.relu has outliers [  1   9  19  34  50  51  59  72  76  80  83  85  93 101 104 125 155 184\n",
      " 189 192 193 194 198 202 211 229 230 244 251 260 261 267 272 276 280 296\n",
      " 299 300 301 303 306 308 313 315 318 321 324 325 335 336 340 359 373 377\n",
      " 385 388 393 396 399 408 430 441 442 445 449 475 476 480 490 492 502 503\n",
      " 504]\n",
      "image # 10418, layer # layer4.1.relu has outliers [ 13  31  33  37  39  43  48  49  68  76  89 103 105 107 128 130 132 157\n",
      " 170 179 183 210 213 219 226 230 236 272 275 285 303 314 317 328 353 355\n",
      " 362 365 381 393 399 405 418 422 425 448 452 457 458 470 489 503 504]\n",
      "image # 10513, layer # layer4.1.relu has outliers [ 13  37  39  43  49  50  65  67  69  72  81  83 100 111 127 135 138 140\n",
      " 144 155 163 170 179 181 192 193 201 204 213 222 228 250 256 258 272 275\n",
      " 300 304 305 311 314 317 353 355 357 373 374 386 389 393 402 409 418 425\n",
      " 430 457 464 467 470 475 496 507]\n",
      "image # 10524, layer # layer4.1.relu has outliers [  6  13  25  29  37  44  54  58  70  85 111 128 135 138 144 151 168 170\n",
      " 171 177 179 183 192 201 202 204 213 214 231 246 257 272 312 314 315 328\n",
      " 355 364 373 385 390 401 403 406 411 412 413 422 423 425 434 437 440 465\n",
      " 474 480 499 506]\n",
      "image # 10705, layer # layer4.1.relu has outliers [ 13  17  39  52  58  63  76  93  95 102 104 125 134 138 143 152 154 155\n",
      " 161 165 178 179 181 184 192 194 197 206 208 211 226 227 231 240 243 258\n",
      " 261 262 281 288 300 303 314 336 339 354 358 362 367 376 377 393 399 402\n",
      " 405 408 422 425 432 443 468 489 492 496 501 510]\n",
      "image # 10817, layer # layer4.1.relu has outliers [  6   9  12  34  36  41  85 121 124 134 135 138 140 142 154 155 161 166\n",
      " 168 178 183 184 192 193 196 201 202 208 226 227 229 231 235 237 240 250\n",
      " 251 252 262 278 282 289 290 294 300 313 321 325 334 336 340 344 358 367\n",
      " 377 382 386 387 388 393 399 402 403 404 405 406 408 412 414 418 424 428\n",
      " 429 430 435 450 456 472 475 480 496 507]\n",
      "image # 10818, layer # layer4.1.relu has outliers [  0  14  25  28  29  37  39  58  63  68  85  86  97 100 101 102 107 109\n",
      " 111 125 132 152 155 163 179 181 192 197 202 222 224 227 235 245 248 256\n",
      " 259 262 269 290 296 297 298 300 304 315 324 325 333 336 339 351 353 363\n",
      " 373 379 391 393 396 406 409 435 443 448 451 467 472 487 496 500 507]\n",
      "image # 10821, layer # layer4.1.relu has outliers [ 13  40  58 102 103 110 124 126 132 139 152 154 169 172 184 193 206 210\n",
      " 211 223 226 240 241 251 254 256 259 261 266 281 283 300 307 313 318 324\n",
      " 325 334 349 352 354 359 367 416 418 435 451 452 455 457 467 468 471 477\n",
      " 483 508]\n",
      "image # 10866, layer # layer4.1.relu has outliers [  1  25  33  34  37  40  44  46  51  52  68  73  76  85  89  95 113 124\n",
      " 129 134 135 138 165 166 172 177 183 189 192 194 195 205 226 237 245 246\n",
      " 262 274 276 278 288 300 305 314 315 331 355 362 364 382 383 387 391 399\n",
      " 401 411 422 425 432 441 456 462 466 475 491 498 507]\n",
      "image # 10946, layer # layer4.1.relu has outliers [  2   8   9  37  39  55  58  59  67  76  77 133 138 139 173 228 244 304\n",
      " 307 314 328 343 355 379 385 406 409 424 442 465 467 470 493 497 503]\n",
      "layer layer4.2.relu\n",
      "image # 135, layer # layer4.2.relu has outliers [  5  37  39  49  51  59  69  81  85  89  92 100 107 111 114 127 128 132\n",
      " 135 138 140 154 161 170 181 204 213 214 217 222 226 231 242 249 254 258\n",
      " 272 275 281 304 307 317 320 358 374 380 382 386 393 399 418 422 430 438\n",
      " 442 465 467 480 482]\n",
      "image # 383, layer # layer4.2.relu has outliers [ 13  25  34  54 101 103 106 129 155 163 177 195 259 315 324 336 349 353\n",
      " 362 378 390 399 401 500]\n",
      "image # 399, layer # layer4.2.relu has outliers [ 10  13  29  32  34  37  42  54  59  62  68  76  85  88  93  94 101 109\n",
      " 127 128 134 135 138 155 161 163 165 169 178 181 183 189 194 195 201 204\n",
      " 206 213 222 226 232 249 252 254 258 262 288 292 299 300 303 307 314 336\n",
      " 340 353 358 362 365 370 373 376 378 383 388 389 395 401 403 404 405 406\n",
      " 408 409 412 414 440 457 458 468 475 480 482 496 507 510 511]\n",
      "image # 519, layer # layer4.2.relu has outliers [  5  13  25  32  33  34  37  40  47  48  51  59  68  76  81 101 107 124\n",
      " 128 132 135 136 155 159 161 165 166 169 172 178 181 183 195 200 221 222\n",
      " 224 240 246 254 262 272 274 275 292 299 300 311 315 322 333 336 351 353\n",
      " 362 364 371 373 378 391 399 401 409 418 425 434 441 462 475 480 487 499\n",
      " 504 511]\n",
      "image # 540, layer # layer4.2.relu has outliers [  6  10  25  32  34  40  51  54 101 109 122 124 129 155 161 178 181 184\n",
      " 192 195 203 206 210 211 216 224 231 243 246 254 262 300 313 315 344 362\n",
      " 373 378 383 395 399 400 401 409 414 426 428 433 435 457 462 468 480 490\n",
      " 497 510]\n",
      "image # 579, layer # layer4.2.relu has outliers [ 13  34  37  54  59  85  93 113 117 122 124 126 135 140 159 162 165 169\n",
      " 172 178 181 183 192 193 194 217 224 226 231 235 243 249 252 254 258 281\n",
      " 290 299 300 304 307 313 315 325 331 340 356 358 364 373 376 378 382 388\n",
      " 399 401 402 408 409 424 457 462 476 477 478 493 501 507 511]\n",
      "image # 739, layer # layer4.2.relu has outliers [ 10  13  25  32  34  37  42  54  59  85  89  94  95 113 119 128 134 135\n",
      " 138 140 142 155 161 166 169 170 172 181 183 192 196 201 202 204 213 217\n",
      " 224 226 231 242 243 249 252 254 258 267 288 290 292 299 300 303 304 314\n",
      " 331 336 344 345 362 364 365 370 373 374 383 386 391 403 404 408 409 414\n",
      " 424 430 440 448 457 462 467 475 480 490 493 496 507 511]\n",
      "image # 751, layer # layer4.2.relu has outliers [  2  10  12  13  31  34  37  51  56  58  75  92 107 109 121 126 132 133\n",
      " 135 139 140 146 147 152 155 156 161 165 166 172 178 181 183 193 194 198\n",
      " 224 226 227 234 240 243 249 252 254 256 258 275 279 280 281 282 291 299\n",
      " 300 307 336 340 352 356 364 367 373 378 379 382 388 403 404 405 408 409\n",
      " 414 418 424 451 456 457 462 468 475 480 496 501 511]\n",
      "image # 818, layer # layer4.2.relu has outliers [ 13  33  34  37  46  51  54  59  85  89  95 113 119 127 134 135 140 155\n",
      " 161 162 166 169 170 178 181 183 192 201 202 204 205 213 214 217 222 226\n",
      " 231 242 243 249 254 258 262 267 272 288 299 300 303 304 306 314 331 336\n",
      " 344 353 358 362 364 365 367 373 376 378 383 391 399 401 404 408 409 414\n",
      " 424 440 448 452 457 458 475 480 504 507]\n",
      "image # 1042, layer # layer4.2.relu has outliers [  2  10  14  18  24  30  34  42  50  68  76  80  88  93 109 126 134 135\n",
      " 147 159 163 169 177 178 181 192 194 210 221 223 224 226 243 245 252 254\n",
      " 260 262 276 282 290 301 303 313 314 315 335 340 351 353 355 362 364 368\n",
      " 373 383 389 391 392 394 401 403 408 412 431 434 457 473 480 481 487 490\n",
      " 494 496 504]\n",
      "image # 1195, layer # layer4.2.relu has outliers [  8  14  24  33  34  37  39  54  58  59  66  69  72  76  85  88  89 113\n",
      " 114 116 119 128 133 134 135 138 142 147 155 158 162 165 166 169 172 178\n",
      " 181 187 192 193 194 196 197 202 204 205 207 213 214 217 226 243 246 249\n",
      " 252 254 281 288 290 300 303 304 306 314 316 328 331 344 345 355 356 365\n",
      " 373 374 376 378 380 383 386 388 403 408 412 414 424 426 430 440 441 452\n",
      " 457 458 465 467 468 475 478 481 489 493 496 507 510]\n",
      "image # 1392, layer # layer4.2.relu has outliers [ 14  18  24  30  33  48  76  82  85  89  93  95 124 126 127 128 134 135\n",
      " 142 147 156 165 166 169 172 173 177 178 179 181 183 187 189 194 195 197\n",
      " 206 210 217 226 232 237 238 239 243 245 246 252 254 255 258 262 278 285\n",
      " 289 290 299 300 303 307 313 314 326 331 355 356 358 362 368 373 378 382\n",
      " 383 388 391 392 395 410 411 426 441 442 452 457 458 491 496 497 510 511]\n",
      "image # 1451, layer # layer4.2.relu has outliers [  5  13  14  33  37  39  51  57  58  59  63  69  72  76  85  86  93  95\n",
      "  99 111 134 135 138 162 169 170 172 179 181 192 193 197 201 204 205 213\n",
      " 214 215 217 222 224 226 231 242 243 253 254 260 272 273 288 292 299 304\n",
      " 306 314 317 336 340 355 357 358 362 364 373 374 376 380 382 386 391 401\n",
      " 402 422 424 430 440 462 465 466 476 478 480 482 484 489 496 507]\n",
      "image # 1457, layer # layer4.2.relu has outliers [  1  10  18  19  21  23  31  33  36  41  42  47  52  60  63  78  83  84\n",
      "  93  99 101 109 110 112 113 119 122 125 126 132 139 140 147 149 155 166\n",
      " 172 173 177 184 186 187 194 197 199 208 210 216 220 226 237 238 252 261\n",
      " 279 280 285 289 290 291 306 312 321 325 344 356 357 373 375 377 383 384\n",
      " 388 395 405 410 411 412 422 426 433 435 441 447 451 461 462 473 475 477\n",
      " 480 496 510]\n",
      "image # 1545, layer # layer4.2.relu has outliers [ 13  34  39  51  59  62  68  69  85 109 128 135 138 155 159 165 166 169\n",
      " 170 172 178 179 181 183 193 201 204 217 222 226 231 237 240 243 249 252\n",
      " 254 258 288 299 300 303 313 314 315 331 336 353 356 358 362 364 365 367\n",
      " 373 374 376 378 380 382 383 384 388 389 401 404 406 409 414 424 430 440\n",
      " 452 475 478 480 482 496 504 507]\n",
      "image # 1846, layer # layer4.2.relu has outliers [ 18  25  30  33  34  40  48  57  68 114 128 129 132 159 169 171 177 178\n",
      " 181 195 210 214 221 222 244 245 246 249 254 272 297 300 304 315 317 331\n",
      " 333 362 364 365 391 399 406 411 425 428 431 434 452 459 467 468 487 490\n",
      " 511]\n",
      "image # 1864, layer # layer4.2.relu has outliers [  5  13  19  47  51  52  75  93 110 124 125 126 139 153 178 180 181 184\n",
      " 189 192 203 206 208 211 216 220 224 231 232 261 262 276 296 300 303 307\n",
      " 313 325 331 336 356 362 368 378 382 396 416 426 428 433 435 441 455 457\n",
      " 462 468 476 485 490 497 501 510 511]\n",
      "image # 1969, layer # layer4.2.relu has outliers [  1   7  14  17  18  38  55  57  61  64  68  79  88  89  99 109 123 134\n",
      " 147 156 159 165 166 169 170 177 178 179 181 187 189 197 201 210 214 215\n",
      " 217 226 237 239 245 249 252 253 257 260 278 280 287 299 306 307 312 314\n",
      " 317 321 326 331 335 341 353 356 360 364 365 383 386 387 389 391 392 395\n",
      " 401 406 411 412 424 430 432 438 440 442 443 482 487 491 494 496 497 498\n",
      " 507 510]\n",
      "image # 2006, layer # layer4.2.relu has outliers [  7  10  12  14  33  34  59  66  84  89  96  99 128 134 142 156 158 165\n",
      " 166 169 177 178 179 186 187 188 189 194 195 197 205 210 214 226 232 237\n",
      " 238 239 245 249 252 262 278 280 292 299 300 301 313 315 319 326 331 335\n",
      " 341 355 368 372 374 376 378 383 386 387 392 394 395 403 408 411 412 452\n",
      " 455 458 479 491 494 496 497 510]\n",
      "image # 2025, layer # layer4.2.relu has outliers [ 19  25  34 126 139 140 155 163 180 183 192 194 198 205 211 214 216 223\n",
      " 240 262 271 281 300 301 307 324 326 340 353 354 358 362 371 376 377 393\n",
      " 399 401 414 455 456 457 468 477 480 489 510]\n",
      "image # 2117, layer # layer4.2.relu has outliers [ 10  19  32  56  59  66  75  76  83  85  93  95 109 110 124 126 128 134\n",
      " 135 140 142 148 152 155 165 166 169 172 178 181 183 189 193 194 196 199\n",
      " 210 220 226 240 243 249 252 254 256 281 290 299 300 307 313 314 315 318\n",
      " 331 340 356 358 372 373 376 378 382 383 387 388 391 392 395 405 408 409\n",
      " 414 441 442 452 457 458 475 476 477 493 501 510 511]\n",
      "image # 2269, layer # layer4.2.relu has outliers [ 13  25 101 124 155 172 184 186 194 206 208 211 217 232 239 240 252 262\n",
      " 299 300 313 315 325 336 362 371 377 378 400 405 428 433 455 456 457 462]\n",
      "image # 2421, layer # layer4.2.relu has outliers [ 10  13  32  34  37  54  75  76  86  93 117 124 128 133 135 140 155 160\n",
      " 165 169 178 181 183 192 193 194 203 204 206 208 210 221 224 231 235 240\n",
      " 254 262 281 289 290 299 300 303 307 331 336 356 358 362 371 373 376 380\n",
      " 382 405 424 428 435 440 441 442 448 457 462 466 468 485 489 490 493 511]\n",
      "image # 2524, layer # layer4.2.relu has outliers [  7  10  14  24  34  59  66  72  76  84  90  96 109 127 134 142 156 160\n",
      " 163 166 177 181 183 186 188 194 195 197 210 214 217 226 232 237 238 243\n",
      " 252 255 258 278 280 290 299 300 301 314 319 331 340 345 355 356 362 376\n",
      " 377 378 383 386 388 392 393 395 403 408 411 412 414 424 441 442 452 456\n",
      " 487 494 496 497 510]\n",
      "image # 2530, layer # layer4.2.relu has outliers [ 13  25  29  34  42  46  54  62  68  69  85  88  89  94 107 109 111 113\n",
      " 117 127 128 135 138 140 155 161 165 166 170 172 178 181 183 201 202 204\n",
      " 213 217 222 224 240 242 249 252 254 258 267 272 281 288 290 299 300 304\n",
      " 305 307 322 331 336 344 345 353 358 364 365 373 376 378 380 381 383 388\n",
      " 389 406 409 414 440 441 452 458 459 463 467 478 489 507]\n",
      "image # 2565, layer # layer4.2.relu has outliers [ 25  33  34  44  45 107 169 230 246 262 274 317 335 336 354 362 369 390\n",
      " 399 415 425 431 434]\n",
      "image # 2638, layer # layer4.2.relu has outliers [ 10  13  33  34  37  47  80  85  93 124 135 140 155 172 178 181 194 197\n",
      " 204 206 217 220 226 232 249 262 267 285 292 299 300 303 307 314 326 331\n",
      " 336 340 356 358 362 368 371 374 376 378 382 386 404 405 408 410 412 424\n",
      " 428 452 457 458 466 478 482 489 496 497]\n",
      "image # 2727, layer # layer4.2.relu has outliers [ 13  33  34  37  48  51  59  68  85  89  95 119 127 128 134 135 138 140\n",
      " 155 158 159 165 166 169 172 178 181 183 201 204 205 214 217 222 226 239\n",
      " 249 252 254 280 288 292 299 300 303 307 314 315 331 336 353 356 358 362\n",
      " 364 365 371 373 374 376 378 381 382 383 384 386 399 401 404 405 406 408\n",
      " 409 410 411 424 428 430 440 452 457 458 463 475 478 482 489 496 504 507]\n",
      "image # 2942, layer # layer4.2.relu has outliers [  0   5  13  27  37  44  45  46  49  51  54  57  59  68  70  87  95 101\n",
      " 107 111 127 130 138 154 155 161 163 172 192 197 200 202 204 222 224 272\n",
      " 274 282 288 297 300 311 315 317 328 353 355 370 374 380 385 390 425 444\n",
      " 459 464 465 478 500]\n",
      "image # 2962, layer # layer4.2.relu has outliers [  7   8  14  18  21  24  37  39  55  66  72  76  84  88  89  95  99 114\n",
      " 116 123 128 134 135 147 156 158 169 177 178 187 194 202 210 213 214 215\n",
      " 226 232 233 239 245 253 257 260 278 287 299 301 306 307 312 314 317 335\n",
      " 341 348 353 355 376 380 381 383 385 386 387 392 394 401 408 410 412 422\n",
      " 440 442 463 465 478 487 489 494 497 498 507 510]\n",
      "image # 3065, layer # layer4.2.relu has outliers [ 32  58  95 128 155 178 216 236 240 281 291 303 307 313 393 405 452 457\n",
      " 468 489 510]\n",
      "image # 3643, layer # layer4.2.relu has outliers [ 12  19  25  32  34  51  94 101 105 126 139 140 146 148 159 165 172 178\n",
      " 180 189 192 194 198 206 211 216 224 231 232 237 240 256 260 261 262 271\n",
      " 276 281 285 291 296 300 313 318 324 326 340 352 353 356 359 376 377 378\n",
      " 382 388 405 428 433 445 447 454 455 456 457 468 473 477 480 481 490 501]\n",
      "image # 3846, layer # layer4.2.relu has outliers [ 33  37  51  59  62  69  76  85  93  95 109 119 128 134 135 138 147 165\n",
      " 166 169 170 172 178 181 183 194 197 201 204 205 210 213 214 215 217 222\n",
      " 226 231 243 249 252 254 288 290 299 300 303 304 306 314 317 331 336 340\n",
      " 355 358 362 364 365 373 374 376 378 380 382 383 386 388 389 403 404 408\n",
      " 409 412 414 424 430 440 452 458 475 478 480 482 489 493 496 504 507]\n",
      "image # 3953, layer # layer4.2.relu has outliers [  5  10  13  25  31  37  47  51  70  76  93  95 101 103 107 124 135 140\n",
      " 146 155 159 163 169 172 178 181 183 186 192 194 200 208 211 212 220 222\n",
      " 224 231 237 240 242 254 258 260 261 262 275 276 300 301 313 315 317 322\n",
      " 325 336 353 358 362 371 378 382 399 401 404 405 418 425 457 462 475 480\n",
      " 482 490 499 504 511]\n",
      "image # 4002, layer # layer4.2.relu has outliers [  0  13  29  33  34  37  39  46  59  62  68  69  71  76  85  88  89  94\n",
      " 109 111 113 119 128 132 134 135 138 140 147 155 158 162 165 166 170 172\n",
      " 178 179 181 201 202 204 205 213 217 222 224 226 243 249 252 254 258 267\n",
      " 280 288 292 299 300 303 305 306 314 315 331 336 344 358 364 365 367 373\n",
      " 374 378 380 381 382 383 384 386 388 389 401 402 404 405 406 408 409 424\n",
      " 430 440 452 458 467 475 482 493 496 507]\n",
      "image # 4064, layer # layer4.2.relu has outliers [  5  10  13  31  34  37  51  59  75  85  93 101 124 133 140 146 155 169\n",
      " 172 178 181 183 192 194 198 199 204 206 208 217 226 231 239 256 262 279\n",
      " 281 299 300 315 325 326 340 356 358 362 364 371 376 378 388 405 412 455\n",
      " 457 462 466 478 489]\n",
      "image # 4078, layer # layer4.2.relu has outliers [ 12  19  32  34  42  59  62  80  84  94 101 102 109 117 126 140 155 156\n",
      " 159 165 166 178 194 198 211 223 226 232 240 243 249 252 260 262 267 280\n",
      " 299 303 313 331 356 364 367 371 376 377 378 383 388 393 401 403 405 414\n",
      " 428 450 452 455 458 475 482 510]\n",
      "image # 4100, layer # layer4.2.relu has outliers [  5  10  12  13  18  37  47  48  56  57  58  83  85  93  99 109 124 128\n",
      " 140 142 150 152 155 165 169 172 178 181 193 194 196 217 226 239 249 254\n",
      " 256 258 280 291 292 299 307 322 331 371 376 378 379 380 382 388 393 401\n",
      " 404 405 408 430 456 466 475 477 482 489 493 501]\n",
      "image # 4115, layer # layer4.2.relu has outliers [  5  13  29  37  39  55  57  58  62  63  69  70  85  87  97  99 127 128\n",
      " 133 137 138 150 157 170 179 193 197 202 204 209 213 215 217 222 226 229\n",
      " 232 251 272 287 288 292 298 299 304 305 307 308 310 316 322 336 340 358\n",
      " 374 376 380 384 385 386 389 393 401 402 404 406 408 415 430 445 458 476\n",
      " 479 482 489 499 507]\n",
      "image # 4256, layer # layer4.2.relu has outliers [  9  14  17  18  24  31  32  34  37  40  42  50  52  54  60  76  80  88\n",
      "  93  95  99 122 123 125 129 134 147 163 169 171 177 178 180 183 184 187\n",
      " 194 195 197 211 220 223 238 243 246 257 262 276 277 285 289 290 299 301\n",
      " 303 306 312 313 314 335 344 350 351 355 356 362 368 369 370 377 378 383\n",
      " 389 393 394 395 396 400 412 424 426 428 431 433 434 435 449 457 468 471\n",
      " 473 486 487 494 497 498 510]\n",
      "image # 4317, layer # layer4.2.relu has outliers [  0   2  13  14  29  33  37  39  46  51  57  59  68  71  72  76  85  93\n",
      "  95  99 109 111 119 128 134 135 138 140 147 155 162 163 165 169 170 172\n",
      " 178 179 181 183 201 204 205 213 214 215 217 222 224 226 231 237 249 252\n",
      " 254 258 281 288 299 300 304 306 314 315 317 336 353 358 364 373 374 380\n",
      " 382 384 389 401 402 409 414 422 424 430 438 440 462 475 478 480 496 507]\n",
      "image # 4388, layer # layer4.2.relu has outliers [ 10  25  34  42  59  84  85  94 101 109 126 134 135 140 146 148 155 156\n",
      " 159 165 166 169 172 178 181 183 194 197 199 205 210 226 232 237 243 249\n",
      " 258 260 262 280 299 300 303 313 326 331 362 365 368 370 371 372 373 376\n",
      " 377 378 383 388 399 403 404 405 410 414 428 450 458 478 480 482 496 504\n",
      " 510]\n",
      "image # 4392, layer # layer4.2.relu has outliers [  5   8  13  33  37  39  61  68  72  76  85  93  95  99 134 158 159 165\n",
      " 169 170 172 173 178 179 193 194 202 217 226 232 237 239 243 260 278 280\n",
      " 290 299 301 304 306 315 319 336 340 345 355 356 365 368 373 376 378 382\n",
      " 383 386 387 388 389 392 393 401 408 411 412 441 452 475 476 478]\n",
      "image # 4452, layer # layer4.2.relu has outliers [  0   1   4   6  13  15  25  27  39  44  45  46  48  49  51  60  70  73\n",
      "  81  85  87  92 100 101 107 111 124 127 129 130 132 144 149 155 161 163\n",
      " 168 171 191 192 200 201 212 214 219 221 222 224 244 259 263 272 274 275\n",
      " 283 293 297 300 302 311 317 320 325 333 334 336 342 353 358 362 366 369\n",
      " 370 385 390 396 397 401 406 409 413 418 421 422 423 425 430 437 444 459\n",
      " 464 467 470 471 500 504 509]\n",
      "image # 4484, layer # layer4.2.relu has outliers [  4   5   8  21  33  37  38  44  45  49  59  61  66  68  72  73  85  89\n",
      "  90  95  99 106 107 116 128 129 130 138 157 158 163 179 197 205 212 214\n",
      " 215 217 226 237 239 245 255 260 272 274 278 287 299 301 305 316 317 320\n",
      " 341 348 353 355 360 374 386 390 393 401 410 411 415 421 422 423 425 437\n",
      " 438 464 465 467 470 476 478 479 489 491]\n",
      "image # 4509, layer # layer4.2.relu has outliers [  5  17  19  33  37  56  59  65  69  71  72  85  93  95  99 121 128 133\n",
      " 137 140 152 165 169 178 181 193 194 198 204 213 217 220 226 227 240 252\n",
      " 256 279 290 291 299 307 314 340 356 358 365 367 375 376 378 380 382 393\n",
      " 402 404 405 408 412 424 430 442 452 458 475 476 477 478 489 493]\n",
      "image # 4804, layer # layer4.2.relu has outliers [ 10  13  33  71  76  85  93  95 101 113 119 124 126 127 134 135 140 142\n",
      " 146 155 165 166 169 172 173 181 183 184 186 189 193 196 197 199 203 206\n",
      " 210 217 226 232 234 239 252 254 258 262 280 281 289 299 300 303 307 313\n",
      " 315 331 340 345 353 358 362 368 371 373 378 382 383 388 391 401 405 426\n",
      " 428 430 441 442 452 457 458 462 466 475 478 489 496 510 511]\n",
      "image # 4896, layer # layer4.2.relu has outliers [  5  10  34  42  51  75  80  83  93 101 124 126 140 155 184 186 188 194\n",
      " 199 211 216 219 223 231 240 254 261 262 276 300 303 313 325 326 358 359\n",
      " 367 371 377 378 388 405 457 475 510]\n",
      "image # 4933, layer # layer4.2.relu has outliers [ 10  32  34  42  59  69  71  73  88  94 109 110 113 119 121 127 133 134\n",
      " 147 149 152 155 156 161 163 165 166 169 170 172 178 181 184 204 206 214\n",
      " 223 224 226 235 240 243 249 252 254 257 258 280 289 290 300 312 313 315\n",
      " 321 331 336 344 353 356 362 367 373 374 377 378 383 388 389 395 403 406\n",
      " 408 409 412 424 428 430 433 435 440 449 452 457 468 475 478 480 482 493\n",
      " 496 507]\n",
      "image # 5018, layer # layer4.2.relu has outliers [  5  13  25  31  34  48  51  54  58  75  85  97 107 117 132 133 140 142\n",
      " 145 149 152 155 161 165 172 176 183 185 186 192 193 203 206 208 221 224\n",
      " 231 235 240 254 256 258 274 275 281 283 284 297 300 307 313 322 325 333\n",
      " 336 340 345 358 362 382 399 405 418 423 425 428 451 457 468 480 485 490\n",
      " 501 504 506 511]\n",
      "image # 5049, layer # layer4.2.relu has outliers [  0   1   2   5  13  14  29  38  39  44  57  59  60  61  62  68  69  85\n",
      "  87  99 107 109 111 128 135 147 152 159 165 170 172 179 181 201 205 215\n",
      " 222 229 237 244 249 252 254 260 272 273 275 282 288 297 299 305 306 308\n",
      " 311 314 321 328 329 330 333 336 357 358 361 364 367 370 380 381 384 389\n",
      " 390 398 401 404 406 409 418 422 424 425 430 437 438 439 440 475 478 482\n",
      " 496 504 507]\n",
      "image # 5193, layer # layer4.2.relu has outliers [ 14  24  33  37  39  51  58  59  72  76  82  85  89  93  95  99 112 114\n",
      " 119 126 128 134 135 138 147 150 162 169 170 172 181 193 194 203 207 210\n",
      " 213 217 222 243 249 252 272 278 281 290 292 299 304 306 307 314 336 340\n",
      " 355 356 358 368 373 376 382 386 424 429 430 440 441 442 448 457 462 465\n",
      " 475 476 478 484 487 489 490 493 496 504 507]\n",
      "image # 5533, layer # layer4.2.relu has outliers [ 13  33  34  37  47  48  51  56  58  68  76  85  95  99 126 128 135 140\n",
      " 146 159 165 169 172 178 181 183 193 194 201 204 213 217 222 226 232 237\n",
      " 239 240 243 249 258 260 281 285 299 303 304 307 313 314 315 318 322 336\n",
      " 340 353 362 364 365 368 376 382 383 391 392 393 401 405 406 410 428 440\n",
      " 441 442 452 457 458 463 475 476 478 481 489 504]\n",
      "image # 5576, layer # layer4.2.relu has outliers [ 25  32  34  80 101 103 126 139 140 145 155 169 173 180 184 192 194 206\n",
      " 211 231 260 261 262 267 271 281 291 300 325 326 354 358 364 376 377 378\n",
      " 384 405 426 428 447 468 477 489 510]\n",
      "image # 5611, layer # layer4.2.relu has outliers [ 10  12  18  19  48  58  66  78  83  85  92  94 126 127 132 133 139 140\n",
      " 142 147 152 154 155 156 165 166 178 180 186 194 196 198 220 226 227 232\n",
      " 239 240 241 249 254 256 258 279 280 281 294 300 307 318 326 331 340 356\n",
      " 359 367 376 379 382 399 401 405 408 409 414 424 451 455 456 457 462 468\n",
      " 475 477 496 501 511]\n",
      "image # 5633, layer # layer4.2.relu has outliers [ 10  34  37  59  80  85  93  95 126 127 133 135 140 146 156 160 165 169\n",
      " 178 181 183 194 198 203 204 206 211 217 226 232 239 252 262 299 300 301\n",
      " 303 307 314 326 331 356 368 371 374 376 378 382 383 388 401 404 405 408\n",
      " 412 414 424 428 455 457 458 478 482 489 493 496 510]\n",
      "image # 5727, layer # layer4.2.relu has outliers [  5  33  37  39  58  59  63  72  76  85  89  93  95 117 124 127 128 133\n",
      " 135 137 138 140 155 157 162 165 172 178 181 183 192 197 201 203 204 206\n",
      " 208 217 220 224 226 232 233 239 240 247 252 254 258 289 299 300 303 307\n",
      " 314 316 336 340 358 362 368 373 376 378 380 382 383 386 401 405 412 424\n",
      " 441 452 457 458 462 466 478 484 485 489 504]\n",
      "image # 5902, layer # layer4.2.relu has outliers [ 10  25  32  59  66  84 101 124 126 133 139 142 155 160 169 180 186 189\n",
      " 192 194 195 197 203 206 208 210 211 214 216 226 232 240 246 261 276 278\n",
      " 285 289 292 300 303 307 313 324 326 340 345 352 354 359 368 378 411 428\n",
      " 433 454 455 456 466 477 481 490 497 510]\n",
      "image # 5988, layer # layer4.2.relu has outliers [ 13  33  37  59  68  76  85  95 119 128 134 135 140 159 162 165 166 169\n",
      " 170 172 178 181 183 193 197 201 204 213 217 222 226 231 239 249 252 258\n",
      " 280 288 292 299 300 303 304 314 315 322 331 336 358 362 364 365 368 371\n",
      " 373 374 376 378 382 383 386 388 399 401 404 405 424 428 430 440 441 452\n",
      " 457 458 475 478 493 496 507]\n",
      "image # 6046, layer # layer4.2.relu has outliers [ 10  13  25  33  34  37  54  58  59  76  85  87  92  94 117 119 124 127\n",
      " 133 134 135 140 155 159 161 163 165 169 170 178 181 183 201 205 206 213\n",
      " 226 240 243 249 252 254 258 272 281 288 299 303 304 307 336 345 353 358\n",
      " 362 364 365 367 373 378 382 383 388 405 406 408 409 414 424 428 430 440\n",
      " 448 452 457 458 462 468 475 478 489 493 496 501 511]\n",
      "image # 6237, layer # layer4.2.relu has outliers [  5  12  19  28  37  48  56  58  59 103 126 133 139 142 150 155 165 169\n",
      " 178 180 187 210 226 227 232 239 240 249 256 260 279 281 285 299 300 318\n",
      " 322 324 340 354 356 365 376 377 379 393 405 412 415 434 442 445 447 455\n",
      " 457 473 474]\n",
      "image # 6249, layer # layer4.2.relu has outliers [  7  10  12  14  17  18  24  30  34  42  56  59  76  84  88  93  96 109\n",
      " 126 134 142 146 147 148 156 159 160 166 169 177 178 179 187 189 194 195\n",
      " 197 198 210 220 226 243 245 246 252 257 290 299 301 303 306 313 314 315\n",
      " 326 331 335 341 356 364 365 368 372 373 376 377 378 381 383 388 389 391\n",
      " 392 394 395 403 406 408 411 412 424 426 440 441 481 487 493 494 496 497\n",
      " 510]\n",
      "image # 6285, layer # layer4.2.relu has outliers [  3  10  19  31  32  34  42  75  77  80  94  97 103 105 120 126 139 140\n",
      " 149 152 167 176 180 182 186 192 198 203 208 216 220 221 223 240 241 251\n",
      " 256 261 266 271 276 279 281 295 324 325 338 340 346 349 352 359 373 379\n",
      " 396 399 405 412 428 433 435 451 456 457 462 468 490]\n",
      "image # 6346, layer # layer4.2.relu has outliers [  0   2   5  10  13  25  29  33  37  51  59  62  68  69  71  85  87  93\n",
      " 107 109 111 112 117 119 121 128 132 133 135 138 140 152 155 161 163 170\n",
      " 172 181 183 192 201 203 204 206 215 217 221 222 224 226 231 240 249 252\n",
      " 254 275 282 290 299 300 307 313 322 336 340 358 362 373 382 404 406 409\n",
      " 418 424 440 462 467 475 478 480 489 490 496 507 511]\n",
      "image # 6426, layer # layer4.2.relu has outliers [ 33  34  51  59  95 124 169 172 181 183 184 192 194 211 224 232 237 262\n",
      " 289 300 303 325 331 368 377 378 383 399 405 452 462 475 511]\n",
      "image # 6513, layer # layer4.2.relu has outliers [  5  13  33  37  51  59  68  85  93  95 127 135 138 161 172 181 197 201\n",
      " 204 217 222 224 226 231 260 274 299 300 303 304 307 317 322 336 358 373\n",
      " 374 380 382 386 401 402 405 424 448 459 507]\n",
      "image # 6747, layer # layer4.2.relu has outliers [  0   5  13  29  39  46  49  57  59  61  62  68  73  85  99 100 107 128\n",
      " 137 138 150 154 163 165 170 179 204 219 222 226 229 237 248 260 272 275\n",
      " 288 298 299 305 308 310 317 329 336 360 364 370 374 380 385 390 393 399\n",
      " 401 406 418 425 430 440 452 458 464 465 475 478 482 504]\n",
      "image # 6908, layer # layer4.2.relu has outliers [  5  10  13  33  34  39  51  59  68  76  85  89  93 101 113 119 127 128\n",
      " 134 135 138 140 142 155 165 166 169 170 172 178 181 183 197 199 205 206\n",
      " 213 217 222 224 226 237 239 240 252 254 280 281 288 289 299 300 303 307\n",
      " 313 314 315 331 336 344 358 364 365 373 374 376 378 382 384 388 391 399\n",
      " 401 404 405 406 408 409 411 428 430 441 452 457 458 462 466 475 478 481\n",
      " 496 507 510 511]\n",
      "image # 6972, layer # layer4.2.relu has outliers [ 18  32  34  37  40  42  54  76  80  81  93 101 127 129 135 161 163 169\n",
      " 181 189 192 206 214 226 231 240 246 254 255 262 267 299 300 303 313 315\n",
      " 336 353 354 362 368 370 373 383 391 395 412 426 433 458 468 480 485 487\n",
      " 497]\n",
      "image # 6974, layer # layer4.2.relu has outliers [  6   9  10  15  18  25  30  57  68  76 101 109 122 124 126 129 134 135\n",
      " 142 147 159 163 168 169 172 173 177 181 183 186 189 191 192 199 200 205\n",
      " 206 210 211 212 214 221 226 231 234 238 243 245 254 259 260 261 262 275\n",
      " 276 278 285 300 306 311 314 315 317 326 335 353 362 364 368 374 391 395\n",
      " 399 400 401 411 413 414 425 426 431 457 462 480 490 491 496 497 506 510\n",
      " 511]\n",
      "image # 7114, layer # layer4.2.relu has outliers [  0   8  25  30  33  36  37  38  39  46  57  59  61  66  68  72  81  85\n",
      "  89  95  99 112 127 135 137 138 158 163 165 169 170 178 179 189 197 201\n",
      " 204 205 214 215 217 222 226 232 233 237 239 245 249 260 272 280 288 292\n",
      " 298 299 304 305 306 317 329 336 340 341 348 351 353 358 370 371 374 382\n",
      " 386 390 393 394 401 406 413 430 438 440 452 458 465 467 478 482 489 491]\n",
      "image # 7232, layer # layer4.2.relu has outliers [ 31  52  58  97 100 103 106 124 139 142 150 153 177 193 198 206 208 210\n",
      " 220 223 236 261 264 276 281 286 291 307 322 325 340 343 346 349 352 354\n",
      " 358 382 386 396 415 441 442 451 457 462 476 477 484 485 487 489 490 501]\n",
      "image # 7243, layer # layer4.2.relu has outliers [  5  34  58  59  81  85 109 128 139 140 154 164 181 204 217 226 254 260\n",
      " 292 299 303 307 315 322 336 365 371 393 401 404 405 406 428 452 456 458\n",
      " 475 489]\n",
      "image # 7310, layer # layer4.2.relu has outliers [  1   2  10  12  15  18  25  32  34  40  51  60 101 109 113 134 140 142\n",
      " 146 148 155 156 159 166 172 181 183 184 186 195 196 199 203 210 221 224\n",
      " 237 243 245 252 261 267 275 278 280 282 300 305 315 331 344 356 364 367\n",
      " 373 378 382 387 388 391 399 400 403 405 411 414 418 420 425 428 462 468\n",
      " 475 480 491 496 499 510 511]\n",
      "image # 7370, layer # layer4.2.relu has outliers [  2  13  33  37  39  48  59  62  68  85  89 107 111 127 128 132 134 135\n",
      " 138 140 155 162 165 169 170 172 178 181 183 201 204 210 213 217 222 226\n",
      " 249 252 254 272 281 288 292 299 300 303 304 305 307 336 358 364 365 367\n",
      " 374 376 378 380 382 384 386 401 404 405 406 409 424 430 440 448 452 457\n",
      " 458 463 475 482 489 507]\n",
      "image # 7385, layer # layer4.2.relu has outliers [  5  10  13  25  33  34  37  47  48  58  59  76  85  92  95  99 109 112\n",
      " 117 124 127 128 132 133 134 135 138 140 146 155 159 165 166 169 170 172\n",
      " 178 181 189 201 204 205 206 210 213 214 217 224 226 232 242 249 254 258\n",
      " 280 292 299 300 304 307 313 315 317 331 336 340 355 358 362 373 374 378\n",
      " 380 382 383 386 393 399 401 404 405 406 408 409 411 441 452 457 458 462\n",
      " 467 475 476 478 489 496]\n",
      "image # 7515, layer # layer4.2.relu has outliers [  5  10  13  18  25  28  33  34  37  59  68  76  93  95 101 109 113 122\n",
      " 124 129 134 135 140 146 155 156 159 163 165 166 169 178 181 183 184 189\n",
      " 194 197 199 210 220 222 224 226 232 243 249 252 254 262 281 289 290 299\n",
      " 300 303 307 313 314 315 331 336 340 353 358 362 365 378 382 383 388 391\n",
      " 403 405 406 408 409 414 424 426 428 442 448 452 458 462 475 478 481 496\n",
      " 510]\n",
      "image # 7659, layer # layer4.2.relu has outliers [  5  13  25  27  44  46  51  70  73  85  87  93  97 101 107 124 132 136\n",
      " 138 144 154 155 161 165 168 172 183 192 200 201 212 219 222 224 231 259\n",
      " 262 274 275 299 300 317 336 349 353 358 362 370 378 382 390 399 400 413\n",
      " 418 423 425 437 457 462 464 480 499 500 504 511]\n",
      "image # 7725, layer # layer4.2.relu has outliers [  1  10  12  14  18  38  57  76  93  94  96  99 109 110 126 134 140 142\n",
      " 146 147 148 155 156 159 160 165 166 169 172 178 180 181 183 187 189 194\n",
      " 196 199 203 206 210 220 232 234 237 243 249 252 258 282 290 300 313 315\n",
      " 321 326 331 353 356 367 372 373 376 378 383 387 388 389 391 392 394 400\n",
      " 401 403 408 410 411 412 414 426 450 457 462 473 475 480 496 497 505 510\n",
      " 511]\n",
      "image # 7781, layer # layer4.2.relu has outliers [  4   6  10  12  14  17  18  24  34  42  50  52  60  76  79  80  88  93\n",
      "  96 109 113 119 120 122 125 126 129 134 147 148 159 160 166 168 169 184\n",
      " 187 194 199 215 225 229 235 243 252 257 266 267 290 291 301 303 312 313\n",
      " 314 321 331 344 350 356 367 368 370 372 373 377 378 383 388 389 391 392\n",
      " 394 395 400 403 408 412 414 424 426 431 435 449 486 487 494 496 497 498\n",
      " 510]\n",
      "image # 7828, layer # layer4.2.relu has outliers [  2   5  10  13  25  31  33  34  37  51  54  59  62  68  76  93 101 107\n",
      " 111 124 135 146 155 159 161 165 166 169 172 178 181 183 189 192 201 204\n",
      " 205 206 210 222 224 226 231 240 242 247 249 252 254 262 272 292 299 300\n",
      " 303 313 315 331 336 344 358 362 364 365 370 373 378 383 384 388 391 399\n",
      " 401 405 409 428 457 468 480 481 482 511]\n",
      "image # 7915, layer # layer4.2.relu has outliers [ 10  32  34  42  59  75  80  93  95 124 128 133 135 140 155 165 166 169\n",
      " 178 181 183 193 194 198 226 243 252 254 279 290 291 292 299 300 307 313\n",
      " 319 336 358 365 373 376 379 382 383 388 403 404 405 408 412 424 428 456\n",
      " 457 468 475 510]\n",
      "image # 7933, layer # layer4.2.relu has outliers [  2   5  10  13  19  28  31  33  34  37  54  58  59  63  66  72  85  93\n",
      " 112 113 119 121 124 128 133 135 138 139 140 142 152 155 163 166 172 181\n",
      " 183 192 193 198 204 206 210 213 214 217 224 226 251 254 255 256 280 281\n",
      " 290 292 299 300 304 307 325 331 340 344 347 352 358 359 373 374 375 382\n",
      " 386 388 405 409 424 442 448 451 456 457 462 465 475 476 477 478 489 493\n",
      " 511]\n",
      "image # 7969, layer # layer4.2.relu has outliers [  5  10  33  37  51  56  59  85  93 101 112 124 126 127 128 140 142 146\n",
      " 159 165 169 172 178 183 194 197 206 210 217 220 226 232 237 239 252 254\n",
      " 255 285 299 300 303 313 315 326 331 340 356 358 368 376 378 382 386 388\n",
      " 404 405 408 410 411 430 442 452 457 458 466 468 475 477 478 482 485 489\n",
      " 493 497 501]\n",
      "image # 8081, layer # layer4.2.relu has outliers [  5  13  33  34  37  47  51  58  85  87  93  97 127 135 140 150 155 163\n",
      " 166 170 178 181 183 197 204 205 214 217 226 231 237 242 255 280 292 299\n",
      " 300 303 304 317 322 336 358 373 374 376 378 382 386 393 404 405 406 409\n",
      " 428 430 452 457 458 475 476 478 480 482 489]\n",
      "image # 8135, layer # layer4.2.relu has outliers [  2  10  12  13  18  25  34  84 109 124 126 140 142 148 155 159 165 166\n",
      " 169 177 178 181 184 186 189 193 194 195 203 206 210 214 216 217 226 232\n",
      " 234 237 239 243 246 249 252 254 258 260 261 280 300 313 315 319 326 331\n",
      " 356 362 364 367 373 378 383 387 388 391 392 395 399 401 403 414 426 428\n",
      " 435 468 475 481 490 496 497 510 511]\n",
      "image # 8138, layer # layer4.2.relu has outliers [  2  13  25  29  34  45  46  48  51  62  68  81  87  95 107 109 111 128\n",
      " 129 132 135 138 155 161 163 164 165 166 169 170 178 181 195 201 202 214\n",
      " 222 224 226 231 246 247 249 254 272 275 282 297 305 315 317 322 333 334\n",
      " 336 353 361 364 365 370 373 378 390 401 406 409 418 440 448 459 467 468\n",
      " 475 480 482 504 507 511]\n",
      "image # 8161, layer # layer4.2.relu has outliers [  1   2  10  12  13  14  34  39  57  59  62  71  76  85  99 109 134 135\n",
      " 136 140 147 155 156 159 165 166 169 170 172 181 196 199 201 205 215 224\n",
      " 237 243 249 252 254 257 258 280 282 288 292 299 300 305 306 312 313 314\n",
      " 315 321 331 336 356 364 367 372 373 374 376 378 383 384 387 388 389 391\n",
      " 392 401 402 403 406 408 409 411 414 424 430 440 452 458 475 480 493 496\n",
      " 507]\n",
      "image # 8174, layer # layer4.2.relu has outliers [  0   1  13  33  34  38  39  46  51  57  59  68  85  95 107 114 128 135\n",
      " 136 138 155 158 163 165 166 169 170 172 179 181 197 202 205 213 214 215\n",
      " 222 224 226 237 242 249 254 272 280 282 288 297 300 305 306 315 317 333\n",
      " 336 353 355 362 364 365 370 373 378 383 390 391 401 406 422 438 440 452\n",
      " 459 475 480 504]\n",
      "image # 8253, layer # layer4.2.relu has outliers [ 10  32  33  34  58  75  76  93  94  95 113 122 124 128 133 134 135 140\n",
      " 142 147 155 166 169 172 178 181 183 193 196 199 206 207 210 217 226 235\n",
      " 243 249 252 254 267 281 289 290 300 303 304 306 307 314 331 358 362 364\n",
      " 365 367 368 373 376 388 402 405 408 409 414 424 426 435 442 448 452 457\n",
      " 458 462 468 477 481 485 489 490 493 496 504 510 511]\n",
      "image # 8342, layer # layer4.2.relu has outliers [  5  13  18  33  37  39  61  68  76  85  89  95  99 128 134 135 140 148\n",
      " 158 159 165 166 169 172 178 179 181 189 194 197 204 205 213 217 226 232\n",
      " 237 239 243 249 252 254 280 288 299 300 303 314 315 317 326 331 344 356\n",
      " 358 365 373 374 376 378 381 383 384 386 387 401 404 406 410 411 430 440\n",
      " 452 458 478 481 482 489 491 507 510]\n",
      "image # 8353, layer # layer4.2.relu has outliers [  2  10  13  25  32  34  51  54  87  93 107 109 111 113 117 122 124 129\n",
      " 132 135 140 155 161 165 169 172 181 183 192 201 206 221 222 224 231 235\n",
      " 240 242 249 252 254 258 262 267 275 282 297 300 303 313 315 331 336 362\n",
      " 364 367 370 373 384 388 391 404 405 409 414 418 428 475 496 504 511]\n",
      "image # 8372, layer # layer4.2.relu has outliers [  2  13  25  29  32  34  46  51  54  59  62  68  87 101 107 109 124 127\n",
      " 129 135 138 155 159 161 165 170 172 178 181 183 192 201 205 222 224 226\n",
      " 230 231 240 242 246 249 252 258 260 272 297 299 300 303 306 313 315 317\n",
      " 322 331 336 353 355 358 362 364 370 371 373 378 383 391 399 401 403 406\n",
      " 409 418 425 440 448 452 457 467 468 475 478 482 501 504 507 511]\n",
      "image # 8535, layer # layer4.2.relu has outliers [ 10  13  25  32  34  51  54  59  76  85  93 101 109 113 124 134 135 140\n",
      " 148 155 161 165 166 169 172 178 181 183 192 201 205 217 226 231 240 243\n",
      " 249 252 254 262 267 280 290 299 300 303 313 315 331 336 353 356 358 362\n",
      " 364 365 367 373 378 382 383 388 391 401 404 405 408 409 424 426 448 457\n",
      " 458 462 475 478 480 496 504]\n",
      "image # 8544, layer # layer4.2.relu has outliers [  5   8  13  33  37  39  48  51  57  58  59  68  76  85  89  95  99 128\n",
      " 135 138 159 162 165 166 169 170 172 178 181 193 197 202 204 205 213 214\n",
      " 217 222 226 231 237 239 249 254 258 260 272 288 292 299 300 303 304 306\n",
      " 307 314 317 336 353 355 358 364 365 370 371 373 376 380 381 382 386 393\n",
      " 399 401 402 404 406 430 440 448 452 458 467 475 478 480 489 504 507]\n",
      "image # 8717, layer # layer4.2.relu has outliers [ 19  37  56  78  79  83  95  96 110 112 125 126 128 134 140 142 159 165\n",
      " 169 172 178 188 189 194 198 199 203 208 216 220 232 234 237 240 252 256\n",
      " 261 262 290 299 301 313 325 340 356 358 368 376 377 378 382 415 433 442\n",
      " 451 454 456 476 483 489 493 494 496 501 510]\n",
      "image # 8923, layer # layer4.2.relu has outliers [  5  13  25  32  34  37  48  51  54  58  59  85  92  95 107 111 124 127\n",
      " 128 129 132 133 135 140 155 159 161 163 165 166 169 172 178 181 183 192\n",
      " 201 204 205 206 217 224 226 231 237 240 242 249 252 254 258 262 281 292\n",
      " 299 300 307 313 315 317 322 325 331 336 340 353 358 362 367 373 378 382\n",
      " 391 399 401 405 406 408 409 457 462 468 475 478 480 511]\n",
      "image # 8930, layer # layer4.2.relu has outliers [  1  13  14  33  37  39  51  59  61  62  68  69  85  89  95  99 112 113\n",
      " 119 128 134 135 155 158 165 166 169 170 172 178 179 181 183 192 194 205\n",
      " 217 222 224 226 231 232 237 242 243 249 252 254 258 260 280 288 292 299\n",
      " 300 306 314 315 317 321 331 336 340 344 358 365 368 373 374 376 378 380\n",
      " 381 382 383 384 386 388 399 401 403 404 408 410 411 412 424 430 440 452\n",
      " 458 475 478 482 489 491 493 496 507]\n",
      "image # 8933, layer # layer4.2.relu has outliers [  2   5  13  33  37  39  51  58  59  68  69  71  72  85  89  93  95 111\n",
      " 119 128 135 138 140 155 162 166 169 170 172 178 181 193 201 204 205 207\n",
      " 213 217 222 224 226 231 243 249 252 254 258 272 288 290 299 300 304 305\n",
      " 306 307 314 317 321 322 331 336 357 358 362 364 373 374 376 380 382 383\n",
      " 384 386 402 404 406 408 409 414 424 430 438 440 448 457 462 475 478 482\n",
      " 489 493 496 504 507 511]\n",
      "image # 8996, layer # layer4.2.relu has outliers [  9  18  19  21  23  31  34  52  56  58  72  76  84  95  96  97 106 116\n",
      " 124 125 126 128 139 152 153 167 169 178 180 184 193 194 198 211 220 223\n",
      " 232 235 251 261 266 283 289 291 296 299 301 307 313 340 343 346 352 356\n",
      " 376 377 378 382 386 393 396 426 433 441 442 451 454 456 457 465 468 476\n",
      " 484 485 490 494 501 510]\n",
      "image # 9047, layer # layer4.2.relu has outliers [ 33  34  59  68  85  95 109 134 135 159 165 166 169 170 172 173 178 181\n",
      " 193 194 197 203 217 224 226 231 232 235 239 243 249 252 260 289 290 299\n",
      " 303 314 315 331 336 340 362 364 365 367 368 373 376 377 378 383 388 391\n",
      " 395 403 408 414 424 440 441 442 452 458 475 476 487 496]\n",
      "image # 9111, layer # layer4.2.relu has outliers [ 33  34  37  39  51  59  62  69  76  85  95 111 127 128 134 135 138 140\n",
      " 155 162 163 166 169 170 172 178 181 183 196 197 201 204 205 213 215 222\n",
      " 226 231 243 249 252 254 267 272 281 288 299 300 304 306 314 315 317 331\n",
      " 336 353 362 364 365 373 374 376 384 386 388 389 391 401 404 405 406 408\n",
      " 409 414 424 430 440 448 452 458 475 478 480 482 493 496 504 507 511]\n",
      "image # 9320, layer # layer4.2.relu has outliers [  0   1  21  26  29  37  39  40  44  45  51  60  65  68  69  71  73  85\n",
      "  87  89 104 107 113 114 119 130 132 134 135 144 147 152 162 172 181 187\n",
      " 193 196 199 200 207 212 215 222 225 249 254 268 272 274 275 282 290 297\n",
      " 302 305 306 307 311 321 328 329 332 333 334 339 343 357 358 361 364 366\n",
      " 367 375 382 404 409 418 422 423 424 425 432 440 444 448 475 478 492 493\n",
      " 496 504 507 509 511]\n",
      "image # 9333, layer # layer4.2.relu has outliers [  0  13  15  25  33  37  39  40  44  45  49  51  58  72  73  76  85  87\n",
      "  89 107 111 112 119 124 127 128 129 130 135 138 155 161 181 183 191 200\n",
      " 204 207 212 215 217 222 226 237 254 263 274 275 280 299 300 304 307 311\n",
      " 317 320 325 333 336 345 362 382 386 390 401 406 409 413 423 425 444 448\n",
      " 458 462 464 478 496 504]\n",
      "image # 9585, layer # layer4.2.relu has outliers [  0  33  38  39  41  44  54  55  57  60  61  68  72 132 171 179 183 192\n",
      " 210 212 215 217 245 253 307 317 345 351 360 362 369 417 422 434 441 459\n",
      " 461 470 476 484 498 506]\n",
      "image # 9716, layer # layer4.2.relu has outliers [ 13  25  32  34  37  42  54  59  94 101 109 117 124 133 135 138 140 155\n",
      " 161 165 166 172 178 181 183 184 192 194 203 204 206 224 226 231 235 243\n",
      " 249 252 254 262 267 284 292 299 300 313 315 336 353 362 367 373 378 379\n",
      " 382 383 384 399 408 409 412 455 457 468 475 480 496 497]\n",
      "image # 9854, layer # layer4.2.relu has outliers [  2  10  13  25  34  51  59  73  76  87 109 112 124 134 135 140 142 146\n",
      " 147 155 159 160 163 165 169 170 178 181 183 186 189 192 205 206 226 234\n",
      " 237 240 243 249 252 258 262 280 300 303 313 331 336 340 358 362 371 373\n",
      " 374 382 383 384 405 406 408 424 426 430 451 452 457 458 475 480 493 496\n",
      " 510]\n",
      "image # 9870, layer # layer4.2.relu has outliers [  2  13  25  33  37  47  48  51  57  68  85 101 107 109 124 128 134 142\n",
      " 146 151 155 159 165 166 169 170 172 178 181 183 189 196 201 205 217 222\n",
      " 224 226 230 231 237 239 242 243 249 252 258 260 262 263 272 280 282 297\n",
      " 300 303 304 305 307 315 322 331 336 345 358 362 364 365 371 373 378 382\n",
      " 383 387 388 391 395 399 401 404 405 406 409 410 411 416 418 428 440 448\n",
      " 452 457 458 459 468 475 478 482 491 504 511]\n",
      "image # 9914, layer # layer4.2.relu has outliers [  5  13  33  37  39  59  62  68  69  76  85  89  93  95  99 127 128 135\n",
      " 138 162 165 166 169 170 172 178 179 181 183 197 201 202 204 205 213 217\n",
      " 222 226 231 237 249 254 260 272 288 292 299 303 314 315 317 336 353 358\n",
      " 364 365 370 373 374 376 378 380 381 382 383 384 388 389 401 404 406 409\n",
      " 410 424 430 439 440 452 458 475 478 482 489 504 507]\n",
      "image # 9937, layer # layer4.2.relu has outliers [  5  10  12  13  25  31  32  34  42  59  80  85  93  94 101 109 113 121\n",
      " 128 133 140 155 165 166 172 178 183 189 194 204 205 224 226 240 249 252\n",
      " 254 280 281 284 292 298 299 300 315 325 336 344 353 359 365 371 373 374\n",
      " 376 378 388 393 399 401 404 405 408 409 428 452 458 475 478 480 482 496]\n",
      "image # 10055, layer # layer4.2.relu has outliers [ 13  29  33  34  37  39  46  48  59  69  71  76  85  88  89 107 109 111\n",
      " 113 127 128 135 138 140 155 161 162 165 166 169 170 172 179 181 201 202\n",
      " 204 213 222 231 249 252 254 258 272 280 282 288 292 299 300 303 306 314\n",
      " 315 331 336 364 367 373 376 378 380 381 384 386 388 389 401 404 405 406\n",
      " 409 424 440 452 458 475 480 482 496 504 507]\n",
      "image # 10087, layer # layer4.2.relu has outliers [  5  13  33  34  37  47  48  51  58  59  62  85  93  95 128 135 140 155\n",
      " 159 164 165 170 178 181 183 197 204 205 213 214 217 222 226 239 240 254\n",
      " 260 272 281 292 299 300 303 304 314 315 317 322 336 345 365 376 378 380\n",
      " 381 386 393 399 401 404 405 428 440 452 457 458 463 468 475 478 482 504]\n",
      "image # 10156, layer # layer4.2.relu has outliers [  5  13  33  37  39  57  68  87  89  95 155 170 204 205 212 222 237 272\n",
      " 316 317 355 371 385 393 399 415 425 430 465 470 478 482 507]\n",
      "image # 10209, layer # layer4.2.relu has outliers [  9  10  17  21  23  26  55  56  64  72  76  79  84  90  91  96 102 110\n",
      " 118 120 126 134 142 147 153 156 160 169 178 179 180 186 188 194 206 210\n",
      " 211 216 220 226 232 243 252 256 266 276 285 287 289 290 294 307 313 321\n",
      " 335 340 343 354 376 377 379 386 395 408 426 433 442 454 455 477 492 493\n",
      " 494 495 496 497 510]\n",
      "image # 10225, layer # layer4.2.relu has outliers [  1   5   7   8  13  26  38  39  53  57  59  61  62  65  66  68  69  85\n",
      "  89  95  99 112 128 137 138 157 158 169 170 172 179 181 193 197 204 205\n",
      " 215 217 222 226 231 237 239 249 253 255 256 260 275 278 287 292 299 306\n",
      " 307 317 320 329 336 340 341 355 357 358 360 374 376 380 382 386 393 401\n",
      " 415 430 440 465 476 478 479 480 482 484 491]\n",
      "image # 10251, layer # layer4.2.relu has outliers [ 14  18  25  34  38  50  54  81  84  88 101 109 126 134 135 147 156 159\n",
      " 165 166 169 178 181 186 189 192 195 205 210 223 237 238 243 245 246 249\n",
      " 252 257 262 275 278 282 303 313 314 315 317 319 331 335 353 356 362 364\n",
      " 372 373 377 383 387 391 394 395 400 403 408 411 414 426 428 434 452 468\n",
      " 487 494 496 497 510 511]\n",
      "image # 10259, layer # layer4.2.relu has outliers [  8  33  34  37  42  47  55  58  59  61  72  76  80  84  85  88  89  95\n",
      "  99 128 135 157 158 163 178 181 183 194 197 198 204 213 214 220 226 232\n",
      " 239 251 257 292 299 301 303 307 310 314 336 376 380 381 382 383 386 389\n",
      " 393 401 412 424 440 441 442 452 457 458 465 466 476 478 482 487 489 496]\n",
      "image # 10263, layer # layer4.2.relu has outliers [ 10  13  25  32  33  34  47  51  59  95 101 109 124 140 146 148 155 159\n",
      " 161 165 169 172 178 181 183 184 186 189 192 197 208 211 217 224 226 240\n",
      " 254 260 262 299 300 303 313 315 317 331 353 358 362 365 371 377 378 382\n",
      " 391 399 400 405 410 428 452 457 458 504]\n",
      "image # 10273, layer # layer4.2.relu has outliers [  0   1  13  24  25  29  33  34  38  39  44  46  50  57  60  68  88  89\n",
      " 101 134 135 138 155 156 165 166 169 170 172 178 179 189 201 202 215 222\n",
      " 226 237 246 249 257 260 272 278 305 314 315 317 329 331 344 351 353 355\n",
      " 364 370 373 378 383 387 389 391 392 394 401 406 411 418 440 463 467 470\n",
      " 475 480 491]\n",
      "image # 10297, layer # layer4.2.relu has outliers [ 13  29  33  47  48  57  59  61  68  89  99 111 128 137 138 150 154 157\n",
      " 163 165 170 178 179 205 212 215 217 222 226 233 237 239 245 248 249 260\n",
      " 272 292 299 304 305 310 316 317 341 349 360 370 371 374 378 384 390 393\n",
      " 399 401 406 407 415 440 475 478 482]\n",
      "image # 10377, layer # layer4.2.relu has outliers [ 24  29  33  34  37  39  48  51  58  68  76  85  88  89  92 113 114 119\n",
      " 124 127 128 134 135 142 151 162 165 166 169 172 178 181 183 193 197 201\n",
      " 206 210 213 217 222 226 230 239 243 246 249 252 254 255 258 280 299 303\n",
      " 304 307 314 315 331 336 345 362 364 365 368 373 378 381 382 383 386 388\n",
      " 391 395 401 406 409 411 414 416 440 441 442 452 457 458 463 475 489 496\n",
      " 504 507 511]\n",
      "image # 10398, layer # layer4.2.relu has outliers [ 10  19  32  34  42  51  59  84  86  93  95 109 125 155 169 177 178 184\n",
      " 189 194 198 199 205 206 211 216 223 226 230 232 260 261 267 296 301 303\n",
      " 313 315 318 325 340 344 353 355 356 359 362 364 371 372 373 377 378 388\n",
      " 393 399 401 408 415 419 426 428 433 475 476 480 490 510]\n",
      "image # 10524, layer # layer4.2.relu has outliers [  0  13  25  29  44  87  89 107 111 138 144 155 170 201 214 370 385 390\n",
      " 406 422 425 437 465 467 470 480 499]\n",
      "image # 10705, layer # layer4.2.relu has outliers [ 33  34  37  58  59  76  85  93  95 124 128 134 135 140 155 165 169 172\n",
      " 178 181 183 192 193 194 197 204 206 208 213 217 224 226 231 235 240 243\n",
      " 258 281 289 290 299 300 303 304 314 322 325 336 358 362 368 373 376 382\n",
      " 383 386 388 405 408 424 428 433 442 448 451 452 458 462 468 476 478 485\n",
      " 489 490 496 501 504 511]\n",
      "image # 10817, layer # layer4.2.relu has outliers [ 10  12  25  32  34  51  59  85  94 113 121 122 124 133 134 135 140 142\n",
      " 148 155 156 166 169 172 178 181 183 184 186 192 193 194 196 203 206 210\n",
      " 226 234 235 240 249 252 254 280 290 300 313 315 325 331 340 344 356 358\n",
      " 367 373 376 377 382 388 399 403 404 405 408 414 424 428 435 451 468 475\n",
      " 477 496 510]\n",
      "image # 10818, layer # layer4.2.relu has outliers [  0   5  10  13  25  29  37  46  58  62  68  85  86  87  93  95 107 109\n",
      " 111 124 132 135 137 138 140 149 152 155 161 163 165 169 170 172 181 183\n",
      " 192 202 204 221 222 224 226 227 231 242 249 256 274 275 297 298 299 300\n",
      " 302 303 304 307 322 336 358 362 364 373 380 402 406 409 418 440 448 451\n",
      " 459 462 467 489 490 499 506 507 511]\n",
      "image # 10866, layer # layer4.2.relu has outliers [ 10  25  32  33  34  38  40  48  51  54  68  76  85 101 124 129 134 135\n",
      " 146 155 161 165 166 169 172 177 178 181 183 189 192 195 205 206 210 214\n",
      " 224 226 237 245 246 254 255 262 278 280 299 300 313 314 315 317 331 353\n",
      " 355 362 368 371 373 378 383 387 391 394 399 401 411 425 428 434 441 462\n",
      " 480 481 482 491 497 511]\n",
      "image # 10946, layer # layer4.2.relu has outliers [  8   9  17  22  26  37  39  53  55  56  58  64  65  66  67  72  74  77\n",
      "  85  88  89  90  91  96 114 116 119 121 133 135 137 138 139 140 147 150\n",
      " 152 162 173 193 204 207 209 213 236 251 256 257 268 287 304 307 328 338\n",
      " 343 346 352 366 376 382 385 386 402 407 409 424 427 432 457 461 465 484\n",
      " 493 494 508]\n"
     ]
    }
   ],
   "source": [
    "z_score_threshold = 1.0\n",
    "\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(\"layer {}\".format(layer_name))\n",
    "    for image in wrong_images:\n",
    "        # print(\"image # {}\".format(image))\n",
    "        outliers = find_outliers_zscore(filtersum_all_images[image][layer_name], threshold=z_score_threshold)\n",
    "        if len(outliers) > 0:\n",
    "            print(\"image # {}, layer # {} has outliers {}\".format(image, layer_name, outliers))\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## activation level for the whole test set\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'relu': 64, 'layer1.0.relu': 64, 'layer1.1.relu': 64, 'layer1.2.relu': 64, 'layer2.0.relu': 128, 'layer2.1.relu': 128, 'layer2.2.relu': 128, 'layer2.3.relu': 128, 'layer3.0.relu': 256, 'layer3.1.relu': 256, 'layer3.2.relu': 256, 'layer3.3.relu': 256, 'layer3.4.relu': 256, 'layer3.5.relu': 256, 'layer4.0.relu': 512, 'layer4.1.relu': 512, 'layer4.2.relu': 512}\n"
     ]
    }
   ],
   "source": [
    "print(num_filters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n"
     ]
    }
   ],
   "source": [
    "# outliers for each layer for each image\n",
    "z_score_threshold = 2\n",
    "all_outliers_for_image = {x: {} for x in hooked_layer_names}\n",
    "num_times_being_outlier = {}\n",
    "\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(\"layer {}\".format(layer_name))\n",
    "    num_times_being_outlier[layer_name] = [0] * num_filters[layer_name]\n",
    "    for image in range(num_test_images):\n",
    "        all_outliers_for_image[layer_name][image] = find_outliers_zscore(filtersum_all_images[image][layer_name], threshold=z_score_threshold)\n",
    "        for k in all_outliers_for_image[layer_name][image]:\n",
    "            num_times_being_outlier[layer_name][k] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n"
     ]
    }
   ],
   "source": [
    "non_activation_ratio_whole_data = {}\n",
    "ratio_threshold = 0.01\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(\"layer {}\".format(layer_name))\n",
    "    s = {x: num_times_being_outlier[layer_name][x] / num_test_images for x in range(num_filters[layer_name]) if num_times_being_outlier[layer_name][x] > 0}\n",
    "    non_activation_ratio_whole_data[layer_name] = {k: v for k, v in s.items() if v > ratio_threshold}\n",
    "    # non_activation_ratio_whole_data[layer_name] = [x/num_test_images for x in num_times_being_outlier[layer_name]]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "relu {}\n",
      "layer1.0.relu {}\n",
      "layer1.1.relu {}\n",
      "layer1.2.relu {39: 0.22621873288296512}\n",
      "layer2.0.relu {}\n",
      "layer2.1.relu {}\n",
      "layer2.2.relu {}\n",
      "layer2.3.relu {105: 0.01031586635019171}\n",
      "layer3.0.relu {231: 0.05486580244659485}\n",
      "layer3.1.relu {18: 0.010681029760817966, 101: 0.01460653642505021, 111: 0.078692714989958, 118: 0.03259083439839328, 139: 0.015245572393646156, 144: 0.04719737082344349, 146: 0.058060982289574584, 151: 0.10233704582800804, 162: 0.02373562169070659, 180: 0.09804637575314953, 197: 0.01752784371006025, 208: 0.010681029760817966, 213: 0.060160671900675554, 231: 0.0512141683403323, 236: 0.03688150447325178, 251: 0.16834033229870368}\n",
      "layer3.2.relu {18: 0.014241373014423955, 64: 0.014880408983019901, 118: 0.04071572028482746, 151: 0.17153551214168342, 162: 0.039346357494979, 198: 0.04409348183312032, 205: 0.010863611466131094, 241: 0.031404053313857955}\n",
      "layer3.3.relu {118: 0.015793317509585538, 156: 0.018075588825999633, 162: 0.035968595946686145, 198: 0.025104984480555047, 251: 0.0522183677195545}\n",
      "layer3.4.relu {}\n",
      "layer3.5.relu {}\n",
      "layer4.0.relu {}\n",
      "layer4.1.relu {}\n",
      "layer4.2.relu {}\n"
     ]
    }
   ],
   "source": [
    "for layer_name in hooked_layer_names:\n",
    "    print(layer_name, non_activation_ratio_whole_data[layer_name])\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## non-activation times ratio for different classes, for right/wrong"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n"
     ]
    }
   ],
   "source": [
    "# outliers for each layer for each image\n",
    "z_score_threshold = 2\n",
    "all_outliers_for_miss_predicated_image = {x: {} for x in hooked_layer_names}\n",
    "num_times_being_outlier_miss_predicated_images = {}\n",
    "\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(\"layer {}\".format(layer_name))\n",
    "    num_times_being_outlier_miss_predicated_images[layer_name] = [0] * num_filters[layer_name]\n",
    "    for image in wrong_images:\n",
    "        all_outliers_for_miss_predicated_image[layer_name][image] = find_outliers_zscore(filtersum_all_images[image][layer_name], threshold=z_score_threshold)\n",
    "        for k in all_outliers_for_miss_predicated_image[layer_name][image]:\n",
    "            num_times_being_outlier_miss_predicated_images[layer_name][k] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "relu {}\n",
      "layer1.0.relu {}\n",
      "layer1.1.relu {}\n",
      "layer1.2.relu {39: 0.17098445595854922}\n",
      "layer2.0.relu {}\n",
      "layer2.1.relu {1: 0.015544041450777202}\n",
      "layer2.2.relu {}\n",
      "layer2.3.relu {}\n",
      "layer3.0.relu {7: 0.010362694300518135, 231: 0.031088082901554404, 241: 0.010362694300518135}\n",
      "layer3.1.relu {111: 0.05181347150259067, 118: 0.031088082901554404, 126: 0.010362694300518135, 139: 0.010362694300518135, 144: 0.06735751295336788, 146: 0.046632124352331605, 151: 0.04145077720207254, 162: 0.04145077720207254, 180: 0.09326424870466321, 197: 0.010362694300518135, 208: 0.025906735751295335, 213: 0.025906735751295335, 236: 0.015544041450777202, 241: 0.010362694300518135, 251: 0.18652849740932642}\n",
      "layer3.2.relu {18: 0.015544041450777202, 64: 0.02072538860103627, 118: 0.046632124352331605, 151: 0.07253886010362694, 162: 0.015544041450777202, 198: 0.02072538860103627, 205: 0.02072538860103627, 225: 0.015544041450777202, 241: 0.08290155440414508}\n",
      "layer3.3.relu {118: 0.02072538860103627, 156: 0.025906735751295335, 162: 0.05699481865284974, 198: 0.031088082901554404, 251: 0.015544041450777202}\n",
      "layer3.4.relu {}\n",
      "layer3.5.relu {}\n",
      "layer4.0.relu {}\n",
      "layer4.1.relu {}\n",
      "layer4.2.relu {}\n"
     ]
    }
   ],
   "source": [
    "non_activation_ratio_miss_predicated_image = {}\n",
    "num_miss_predicated_images = len(wrong_images)\n",
    "\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(\"layer {}\".format(layer_name))\n",
    "    s = {x: num_times_being_outlier_miss_predicated_images[layer_name][x] / num_miss_predicated_images for x in range(num_filters[layer_name]) if num_times_being_outlier_miss_predicated_images[layer_name][x] > 0}\n",
    "    non_activation_ratio_miss_predicated_image[layer_name] = {k: v for k, v in s.items() if v > ratio_threshold}\n",
    "\n",
    "\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(layer_name, non_activation_ratio_miss_predicated_image[layer_name])\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## non-activation times for different classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n"
     ]
    }
   ],
   "source": [
    "all_outliers_for_classes = {x: {y: {} for y in range(len(classes))} for x in hooked_layer_names}\n",
    "num_times_being_outlier_classes = {y: {} for y in range(len(classes))}\n",
    "\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(\"layer {}\".format(layer_name))\n",
    "    for cla in range(len(classes)):\n",
    "        num_times_being_outlier_classes[cla][layer_name] = [0] * num_filters[layer_name]\n",
    "        for image in image_predictation_result[cla]:\n",
    "            all_outliers_for_classes[layer_name][cla][image] = find_outliers_zscore(filtersum_all_images[image][layer_name], threshold=z_score_threshold)\n",
    "            for k in all_outliers_for_classes[layer_name][cla][image]:\n",
    "                num_times_being_outlier_classes[cla][layer_name][k] += 1\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n",
      "layer relu\n",
      "layer layer1.0.relu\n",
      "layer layer1.1.relu\n",
      "layer layer1.2.relu\n",
      "layer layer2.0.relu\n",
      "layer layer2.1.relu\n",
      "layer layer2.2.relu\n",
      "layer layer2.3.relu\n",
      "layer layer3.0.relu\n",
      "layer layer3.1.relu\n",
      "layer layer3.2.relu\n",
      "layer layer3.3.relu\n",
      "layer layer3.4.relu\n",
      "layer layer3.5.relu\n",
      "layer layer4.0.relu\n",
      "layer layer4.1.relu\n",
      "layer layer4.2.relu\n"
     ]
    }
   ],
   "source": [
    "non_activation_ratio_classes = {y: {} for y in range(len(classes))}\n",
    "ratio_threshold = 0.01\n",
    "for cla in range(len(classes)):\n",
    "    for layer_name in hooked_layer_names:\n",
    "        print(\"layer {}\".format(layer_name))\n",
    "        s = {x: num_times_being_outlier_classes[cla][layer_name][x] / len(image_predictation_result[cla]) for x in range(num_filters[layer_name]) if num_times_being_outlier_classes[cla][layer_name][x] > 0}\n",
    "        non_activation_ratio_classes[cla][layer_name] = {k: v for k, v in s.items() if v > ratio_threshold}\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of Middle Eastern+Male : 71% of 813 images\n",
      "relu {}\n",
      "layer1.0.relu {}\n",
      "layer1.1.relu {}\n",
      "layer1.2.relu {39: 0.2029520295202952}\n",
      "layer2.0.relu {}\n",
      "layer2.1.relu {1: 0.01845018450184502}\n",
      "layer2.2.relu {}\n",
      "layer2.3.relu {105: 0.024600246002460024}\n",
      "layer3.0.relu {118: 0.01107011070110701, 231: 0.07257072570725707, 251: 0.013530135301353014}\n",
      "layer3.1.relu {18: 0.017220172201722016, 101: 0.01107011070110701, 111: 0.08856088560885608, 118: 0.05781057810578106, 139: 0.02214022140221402, 144: 0.03444034440344403, 146: 0.11193111931119311, 151: 0.14268142681426815, 162: 0.03567035670356704, 179: 0.023370233702337023, 180: 0.07626076260762607, 197: 0.03444034440344403, 213: 0.08118081180811808, 231: 0.04428044280442804, 236: 0.04797047970479705, 251: 0.3210332103321033}\n",
      "layer3.2.relu {18: 0.012300123001230012, 64: 0.012300123001230012, 118: 0.05904059040590406, 151: 0.27060270602706027, 162: 0.04059040590405904, 198: 0.04059040590405904, 241: 0.04059040590405904, 251: 0.012300123001230012}\n",
      "layer3.3.relu {118: 0.03198031980319803, 156: 0.025830258302583026, 162: 0.038130381303813035, 187: 0.012300123001230012, 198: 0.025830258302583026, 251: 0.13284132841328414}\n",
      "layer3.4.relu {118: 0.014760147601476014, 251: 0.02706027060270603}\n",
      "layer3.5.relu {}\n",
      "layer4.0.relu {}\n",
      "layer4.1.relu {}\n",
      "layer4.2.relu {}\n"
     ]
    }
   ],
   "source": [
    "# for cla in range(len(classes)):\n",
    "#     for layer_name in hooked_layer_names:\n",
    "#         print(layer_name, non_activation_ratio_classes[cla][layer_name])\n",
    "\n",
    "# less non-activation classes: 0, 2, 4, 8\n",
    "# many: 1, 3, 5, 6, 7, 9\n",
    "cla = 9\n",
    "print('Accuracy of {} : {:.0f}% of {} images'.format(classes[cla], 100 * class_correct[cla] / class_total[cla], class_total[cla]))\n",
    "for layer_name in hooked_layer_names:\n",
    "    print(layer_name, non_activation_ratio_classes[cla][layer_name])\n"
   ]
  }
 ],
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