| #include "main.h" | |
| #include <Eigen/CXX11/Tensor> | |
| using Eigen::Tensor; | |
| static void test_single_voxel_patch() | |
| { | |
| Tensor<float, 5> tensor(4,2,3,5,7); | |
| tensor.setRandom(); | |
| Tensor<float, 5, RowMajor> tensor_row_major = tensor.swap_layout(); | |
| Tensor<float, 6> single_voxel_patch; | |
| single_voxel_patch = tensor.extract_volume_patches(1, 1, 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch.dimension(0), 4); | |
| VERIFY_IS_EQUAL(single_voxel_patch.dimension(1), 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch.dimension(2), 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch.dimension(3), 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch.dimension(4), 2 * 3 * 5); | |
| VERIFY_IS_EQUAL(single_voxel_patch.dimension(5), 7); | |
| Tensor<float, 6, RowMajor> single_voxel_patch_row_major; | |
| single_voxel_patch_row_major = tensor_row_major.extract_volume_patches(1, 1, 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(0), 7); | |
| VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(1), 2 * 3 * 5); | |
| VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(2), 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(3), 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(4), 1); | |
| VERIFY_IS_EQUAL(single_voxel_patch_row_major.dimension(5), 4); | |
| for (int i = 0; i < tensor.size(); ++i) { | |
| VERIFY_IS_EQUAL(tensor.data()[i], single_voxel_patch.data()[i]); | |
| VERIFY_IS_EQUAL(tensor_row_major.data()[i], single_voxel_patch_row_major.data()[i]); | |
| VERIFY_IS_EQUAL(tensor.data()[i], tensor_row_major.data()[i]); | |
| } | |
| } | |
| static void test_entire_volume_patch() | |
| { | |
| const int depth = 4; | |
| const int patch_z = 2; | |
| const int patch_y = 3; | |
| const int patch_x = 5; | |
| const int batch = 7; | |
| Tensor<float, 5> tensor(depth, patch_z, patch_y, patch_x, batch); | |
| tensor.setRandom(); | |
| Tensor<float, 5, RowMajor> tensor_row_major = tensor.swap_layout(); | |
| Tensor<float, 6> entire_volume_patch; | |
| entire_volume_patch = tensor.extract_volume_patches(patch_z, patch_y, patch_x); | |
| VERIFY_IS_EQUAL(entire_volume_patch.dimension(0), depth); | |
| VERIFY_IS_EQUAL(entire_volume_patch.dimension(1), patch_z); | |
| VERIFY_IS_EQUAL(entire_volume_patch.dimension(2), patch_y); | |
| VERIFY_IS_EQUAL(entire_volume_patch.dimension(3), patch_x); | |
| VERIFY_IS_EQUAL(entire_volume_patch.dimension(4), patch_z * patch_y * patch_x); | |
| VERIFY_IS_EQUAL(entire_volume_patch.dimension(5), batch); | |
| Tensor<float, 6, RowMajor> entire_volume_patch_row_major; | |
| entire_volume_patch_row_major = tensor_row_major.extract_volume_patches(patch_z, patch_y, patch_x); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major.dimension(0), batch); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major.dimension(1), patch_z * patch_y * patch_x); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major.dimension(2), patch_x); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major.dimension(3), patch_y); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major.dimension(4), patch_z); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major.dimension(5), depth); | |
| const int dz = patch_z - 1; | |
| const int dy = patch_y - 1; | |
| const int dx = patch_x - 1; | |
| const int forward_pad_z = dz - dz / 2; | |
| const int forward_pad_y = dy - dy / 2; | |
| const int forward_pad_x = dx - dx / 2; | |
| for (int pz = 0; pz < patch_z; pz++) { | |
| for (int py = 0; py < patch_y; py++) { | |
| for (int px = 0; px < patch_x; px++) { | |
| const int patchId = pz + patch_z * (py + px * patch_y); | |
| for (int z = 0; z < patch_z; z++) { | |
| for (int y = 0; y < patch_y; y++) { | |
| for (int x = 0; x < patch_x; x++) { | |
| for (int b = 0; b < batch; b++) { | |
| for (int d = 0; d < depth; d++) { | |
| float expected = 0.0f; | |
| float expected_row_major = 0.0f; | |
| const int eff_z = z - forward_pad_z + pz; | |
| const int eff_y = y - forward_pad_y + py; | |
| const int eff_x = x - forward_pad_x + px; | |
| if (eff_z >= 0 && eff_y >= 0 && eff_x >= 0 && | |
| eff_z < patch_z && eff_y < patch_y && eff_x < patch_x) { | |
| expected = tensor(d, eff_z, eff_y, eff_x, b); | |
| expected_row_major = tensor_row_major(b, eff_x, eff_y, eff_z, d); | |
| } | |
| VERIFY_IS_EQUAL(entire_volume_patch(d, z, y, x, patchId, b), expected); | |
| VERIFY_IS_EQUAL(entire_volume_patch_row_major(b, patchId, x, y, z, d), expected_row_major); | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| void test_cxx11_tensor_volume_patch() | |
| { | |
| CALL_SUBTEST(test_single_voxel_patch()); | |
| CALL_SUBTEST(test_entire_volume_patch()); | |
| } |