Nightly torchaudio load_lib failure (windows, python 3.8, cuda 11.6 and 11.7) #2726
Description
🐛 Describe the bug
Reproduction steps:
conda install numpy pillow python=3.8
conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch-nightly -c nvidia
python
import torch
import torchaudio
Traceback (most recent call last):
[1082](https://github.com/pytorch/builder/actions/runs/3144504415/jobs/5112884720#step:3:1085) File "./test/smoke_test/smoke_test.py", line 5, in <module>
FileNotFoundError: Could not find module 'C:\Miniconda\Lib\site-packages\torchaudio\lib\libtorchaudio.pyd' (or one of its dependencies). Try using the full path with constructor syntax.
[1097](https://github.com/pytorch/builder/actions/runs/3144504415/jobs/5112884720#step:3:1100)Error: Process completed with exit code 1.
Observed in binary validation smoke test: https://github.com/pytorch/builder/actions/runs/3144504415/jobs/5112884720
Reproduced manually on CircleCI.
cc @weiwangmeta @atalman @malfet
Versions
UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at C:\cb\pytorch_1000000000000\work\c10\cuda\CUDAFunctions.cpp:109.)
return torch._C._cuda_getDeviceCount() > 0
PyTorch version: 1.13.0.dev20220928
Is debug build: False
CUDA used to build PyTorch: 11.6
ROCM used to build PyTorch: N/A
OS: Microsoft Windows Server 2019 Datacenter
GCC version: Could not collect
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: N/A
Python version: 3.8.13 (default, Mar 28 2022, 06:59:08) [MSC v.1916 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.17763-SP0
Is CUDA available: False
CUDA runtime version: 11.6.124
GPU models and configuration: Could not collect
Nvidia driver version: Could not collect
cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudnn64_7.dll
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] numpy==1.23.1
[pip3] torch==1.13.0.dev20220928
[pip3] torchaudio==0.13.0.dev20220928
[pip3] torchvision==0.14.0.dev20220928
[conda] blas 1.0 mkl
[conda] mkl 2021.4.0 haa95532_640
[conda] mkl-service 2.4.0 py38h2bbff1b_0
[conda] mkl_fft 1.3.1 py38h277e83a_0
[conda] mkl_random 1.2.2 py38hf11a4ad_0
[conda] numpy 1.23.1 py38h7a0a035_0
[conda] numpy-base 1.23.1 py38hca35cd5_0
[conda] pytorch 1.13.0.dev20220928 py3.8_cuda11.6_cudnn8_0 pytorch-nightly
[conda] pytorch-cuda 11.6 h867d48c_0 pytorch-nightly
[conda] pytorch-mutex 1.0 cuda pytorch-nightly
[conda] torchaudio 0.13.0.dev20220928 pypi_0 pypi
[conda] torchvision 0.14.0.dev20220928 pypi_0 pypi