diff options
Diffstat (limited to 'tensorflow/core/kernels/eigen_backward_spatial_convolutions_test.cc')
| -rw-r--r-- | tensorflow/core/kernels/eigen_backward_spatial_convolutions_test.cc | 31 |
1 files changed, 18 insertions, 13 deletions
diff --git a/tensorflow/core/kernels/eigen_backward_spatial_convolutions_test.cc b/tensorflow/core/kernels/eigen_backward_spatial_convolutions_test.cc index 2229ec9659..673ec1458b 100644 --- a/tensorflow/core/kernels/eigen_backward_spatial_convolutions_test.cc +++ b/tensorflow/core/kernels/eigen_backward_spatial_convolutions_test.cc @@ -1248,11 +1248,14 @@ TEST(EigenBackwardSpatialConvolutionsTest, const int output_cols = input_cols - patch_cols + 1; const int output_planes = input_planes - patch_planes + 1; - Tensor<float, 4> input(input_depth, input_planes, input_rows, input_cols); + // TODO(ezhulenev): Support backward kernel convolution without batch + // dimension. + Tensor<float, 5> input(input_depth, input_planes, input_rows, input_cols, + /*num_batches*/ 1); Tensor<float, 5> kernel(output_depth, input_depth, patch_planes, patch_rows, patch_cols); - Tensor<float, 4> output_backward(output_depth, output_planes, output_rows, - output_cols); + Tensor<float, 5> output_backward(output_depth, output_planes, output_rows, + output_cols, /*num_batches*/ 1); output_backward = output_backward.constant(11.0f) + output_backward.random(); input = input.constant(2.0f) + input.random(); @@ -1282,9 +1285,9 @@ TEST(EigenBackwardSpatialConvolutionsTest, if (output_i >= 0 && output_i < output_planes && output_j >= 0 && output_j < output_rows && output_k >= 0 && output_k < output_cols) { - expected += - input(id, i, j, k) * - output_backward(od, output_i, output_j, output_k); + expected += input(id, i, j, k, /*batch*/ 0) * + output_backward(od, output_i, output_j, + output_k, /*batch*/ 0); } } } @@ -1311,12 +1314,14 @@ TEST(EigenBackwardSpatialConvolutionsTest, const int output_cols = input_cols - patch_cols + 1; const int output_planes = input_planes - patch_planes + 1; - Tensor<float, 4, RowMajor> input(input_cols, input_rows, input_planes, - input_depth); + // TODO(ezhulenev): Support backward kernel convolution without batch + // dimension. + Tensor<float, 5, RowMajor> input(/*num_batches*/ 1, input_cols, input_rows, + input_planes, input_depth); Tensor<float, 5, RowMajor> kernel(patch_cols, patch_rows, patch_planes, input_depth, output_depth); - Tensor<float, 4, RowMajor> output_backward(output_cols, output_rows, - output_planes, output_depth); + Tensor<float, 5, RowMajor> output_backward( + /*num_batches*/ 1, output_cols, output_rows, output_planes, output_depth); output_backward = output_backward.constant(11.0f) + output_backward.random(); input = input.constant(2.0f) + input.random(); @@ -1346,9 +1351,9 @@ TEST(EigenBackwardSpatialConvolutionsTest, if (output_i >= 0 && output_i < output_planes && output_j >= 0 && output_j < output_rows && output_k >= 0 && output_k < output_cols) { - expected += - input(k, j, i, id) * - output_backward(output_k, output_j, output_i, od); + expected += input(/*batch*/ 0, k, j, i, id) * + output_backward(/*batch*/ 0, output_k, output_j, + output_i, od); } } } |