Initial push of one simple unittest

Author: theraysmith

unittest/matrix_test.cc

@@ -0,0 +1,135 @@
+///////////////////////////////////////////////////////////////////////
+// File:        matrix_test.cc
+// Author:      [email protected] (Ray Smith)
+//
+// Copyright 2016 Google Inc. All Rights Reserved.
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+///////////////////////////////////////////////////////////////////////
+
+#include "matrix.h"
+#include "gunit.h"
+#include "genericvector.h"
+#include "tprintf.h"
+
+namespace {
+
+class MatrixTest : public ::testing::Test {
+ protected:
+  // Fills src_ with data so it can pretend to be a tensor thus:
+  //  dims_=[5, 4, 3, 2]
+  //  array_=[0, 1, 2, ....119]
+  //  tensor=[[[[0, 1][2, 3][4, 5]]
+  //           [[6, 7][8, 9][10, 11]]
+  //           [[12, 13][14, 15][16, 17]]
+  //           [[18, 19][20, 21][22, 23]]]
+  //          [[[24, 25]...
+  MatrixTest() {
+    src_.Resize(1, kInputSize_, 0);
+    for (int i = 0; i < kInputSize_; ++i) {
+      src_.put(0, i, i);
+    }
+    for (int i = 0; i < kNumDims_; ++i) dims_[i] = 5 - i;
+  }
+  // Number of dimensions in src_.
+  static const int kNumDims_ = 4;
+  // Number of elements in src_.
+  static const int kInputSize_ = 120;
+  // Size of each dimension in src_;
+  int dims_[kNumDims_];
+  // Input array filled with [0,kInputSize).
+  GENERIC_2D_ARRAY<int> src_;
+};
+
+// Tests that the RotatingTranspose function does the right thing for various
+// transformations.
+// dims=[5, 4, 3, 2]->[5, 2, 4, 3]
+TEST_F(MatrixTest, RotatingTranspose_3_1) {
+  GENERIC_2D_ARRAY<int> m;
+  src_.RotatingTranspose(dims_, kNumDims_, 3, 1, &m);
+  m.ResizeNoInit(kInputSize_ / 3, 3);
+  // Verify that the result is:
+  // output tensor=[[[[0, 2, 4][6, 8, 10][12, 14, 16][18, 20, 22]]
+  //                 [[1, 3, 5][7, 9, 11][13, 15, 17][19, 21, 23]]]
+  //                [[[24, 26, 28]...
+  EXPECT_EQ(0, m(0, 0));
+  EXPECT_EQ(2, m(0, 1));
+  EXPECT_EQ(4, m(0, 2));
+  EXPECT_EQ(6, m(1, 0));
+  EXPECT_EQ(1, m(4, 0));
+  EXPECT_EQ(24, m(8, 0));
+  EXPECT_EQ(26, m(8, 1));
+  EXPECT_EQ(25, m(12, 0));
+}
+
+// dims=[5, 4, 3, 2]->[3, 5, 4, 2]
+TEST_F(MatrixTest, RotatingTranspose_2_0) {
+  GENERIC_2D_ARRAY<int> m;
+  src_.RotatingTranspose(dims_, kNumDims_, 2, 0, &m);
+  m.ResizeNoInit(kInputSize_ / 2, 2);
+  // Verify that the result is:
+  // output tensor=[[[[0, 1][6, 7][12, 13][18, 19]]
+  //                 [[24, 25][30, 31][36, 37][42, 43]]
+  //                 [[48, 49][54, 55][60, 61][66, 67]]
+  //                 [[72, 73][78, 79][84, 85][90, 91]]
+  //                 [[96, 97][102, 103][108, 109][114, 115]]]
+  //                [[[2,3]...
+  EXPECT_EQ(0, m(0, 0));
+  EXPECT_EQ(1, m(0, 1));
+  EXPECT_EQ(6, m(1, 0));
+  EXPECT_EQ(7, m(1, 1));
+  EXPECT_EQ(24, m(4, 0));
+  EXPECT_EQ(25, m(4, 1));
+  EXPECT_EQ(30, m(5, 0));
+  EXPECT_EQ(2, m(20, 0));
+}
+
+// dims=[5, 4, 3, 2]->[5, 3, 2, 4]
+TEST_F(MatrixTest, RotatingTranspose_1_3) {
+  GENERIC_2D_ARRAY<int> m;
+  src_.RotatingTranspose(dims_, kNumDims_, 1, 3, &m);
+  m.ResizeNoInit(kInputSize_ / 4, 4);
+  // Verify that the result is:
+  // output tensor=[[[[0, 6, 12, 18][1, 7, 13, 19]]
+  //                 [[2, 8, 14, 20][3, 9, 15, 21]]
+  //                 [[4, 10, 16, 22][5, 11, 17, 23]]]
+  //                [[[24, 30, 36, 42]...
+  EXPECT_EQ(0, m(0, 0));
+  EXPECT_EQ(6, m(0, 1));
+  EXPECT_EQ(1, m(1, 0));
+  EXPECT_EQ(2, m(2, 0));
+  EXPECT_EQ(3, m(3, 0));
+  EXPECT_EQ(4, m(4, 0));
+  EXPECT_EQ(5, m(5, 0));
+  EXPECT_EQ(24, m(6, 0));
+  EXPECT_EQ(30, m(6, 1));
+}
+
+// dims=[5, 4, 3, 2]->[4, 3, 5, 2]
+TEST_F(MatrixTest, RotatingTranspose_0_2) {
+  GENERIC_2D_ARRAY<int> m;
+  src_.RotatingTranspose(dims_, kNumDims_, 0, 2, &m);
+  m.ResizeNoInit(kInputSize_ / 2, 2);
+  // Verify that the result is:
+  // output tensor=[[[[0, 1][24, 25][48, 49][72, 73][96, 97]]
+  //                 [[2, 3][26, 27][50, 51][74, 75][98, 99]]
+  //                 [[4, 5][28, 29][52, 53][76, 77][100, 101]]]
+  //                [[[6, 7]...
+  EXPECT_EQ(0, m(0, 0));
+  EXPECT_EQ(1, m(0, 1));
+  EXPECT_EQ(24, m(1, 0));
+  EXPECT_EQ(25, m(1, 1));
+  EXPECT_EQ(96, m(4, 0));
+  EXPECT_EQ(97, m(4, 1));
+  EXPECT_EQ(2, m(5, 0));
+  EXPECT_EQ(6, m(15, 0));
+}
+
+}  // namespace