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Diffstat (limited to 'unsupported/test/cxx11_tensor_patch.cpp')
| -rw-r--r-- | unsupported/test/cxx11_tensor_patch.cpp | 172 |
1 files changed, 172 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_patch.cpp b/unsupported/test/cxx11_tensor_patch.cpp new file mode 100644 index 000000000..434359730 --- /dev/null +++ b/unsupported/test/cxx11_tensor_patch.cpp @@ -0,0 +1,172 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#include "main.h" + +#include <Eigen/CXX11/Tensor> + +using Eigen::Tensor; + +template<int DataLayout> +static void test_simple_patch() +{ + Tensor<float, 4, DataLayout> tensor(2,3,5,7); + tensor.setRandom(); + array<ptrdiff_t, 4> patch_dims; + + patch_dims[0] = 1; + patch_dims[1] = 1; + patch_dims[2] = 1; + patch_dims[3] = 1; + + Tensor<float, 5, DataLayout> no_patch; + no_patch = tensor.extract_patches(patch_dims); + + if (DataLayout == ColMajor) { + VERIFY_IS_EQUAL(no_patch.dimension(0), 1); + VERIFY_IS_EQUAL(no_patch.dimension(1), 1); + VERIFY_IS_EQUAL(no_patch.dimension(2), 1); + VERIFY_IS_EQUAL(no_patch.dimension(3), 1); + VERIFY_IS_EQUAL(no_patch.dimension(4), tensor.size()); + } else { + VERIFY_IS_EQUAL(no_patch.dimension(0), tensor.size()); + VERIFY_IS_EQUAL(no_patch.dimension(1), 1); + VERIFY_IS_EQUAL(no_patch.dimension(2), 1); + VERIFY_IS_EQUAL(no_patch.dimension(3), 1); + VERIFY_IS_EQUAL(no_patch.dimension(4), 1); + } + + for (int i = 0; i < tensor.size(); ++i) { + VERIFY_IS_EQUAL(tensor.data()[i], no_patch.data()[i]); + } + + patch_dims[0] = 2; + patch_dims[1] = 3; + patch_dims[2] = 5; + patch_dims[3] = 7; + Tensor<float, 5, DataLayout> single_patch; + single_patch = tensor.extract_patches(patch_dims); + + if (DataLayout == ColMajor) { + VERIFY_IS_EQUAL(single_patch.dimension(0), 2); + VERIFY_IS_EQUAL(single_patch.dimension(1), 3); + VERIFY_IS_EQUAL(single_patch.dimension(2), 5); + VERIFY_IS_EQUAL(single_patch.dimension(3), 7); + VERIFY_IS_EQUAL(single_patch.dimension(4), 1); + } else { + VERIFY_IS_EQUAL(single_patch.dimension(0), 1); + VERIFY_IS_EQUAL(single_patch.dimension(1), 2); + VERIFY_IS_EQUAL(single_patch.dimension(2), 3); + VERIFY_IS_EQUAL(single_patch.dimension(3), 5); + VERIFY_IS_EQUAL(single_patch.dimension(4), 7); + } + + for (int i = 0; i < tensor.size(); ++i) { + VERIFY_IS_EQUAL(tensor.data()[i], single_patch.data()[i]); + } + + patch_dims[0] = 1; + patch_dims[1] = 2; + patch_dims[2] = 2; + patch_dims[3] = 1; + Tensor<float, 5, DataLayout> twod_patch; + twod_patch = tensor.extract_patches(patch_dims); + + if (DataLayout == ColMajor) { + VERIFY_IS_EQUAL(twod_patch.dimension(0), 1); + VERIFY_IS_EQUAL(twod_patch.dimension(1), 2); + VERIFY_IS_EQUAL(twod_patch.dimension(2), 2); + VERIFY_IS_EQUAL(twod_patch.dimension(3), 1); + VERIFY_IS_EQUAL(twod_patch.dimension(4), 2*2*4*7); + } else { + VERIFY_IS_EQUAL(twod_patch.dimension(0), 2*2*4*7); + VERIFY_IS_EQUAL(twod_patch.dimension(1), 1); + VERIFY_IS_EQUAL(twod_patch.dimension(2), 2); + VERIFY_IS_EQUAL(twod_patch.dimension(3), 2); + VERIFY_IS_EQUAL(twod_patch.dimension(4), 1); + } + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 2; ++j) { + for (int k = 0; k < 4; ++k) { + for (int l = 0; l < 7; ++l) { + int patch_loc; + if (DataLayout == ColMajor) { + patch_loc = i + 2 * (j + 2 * (k + 4 * l)); + } else { + patch_loc = l + 7 * (k + 4 * (j + 2 * i)); + } + for (int x = 0; x < 2; ++x) { + for (int y = 0; y < 2; ++y) { + if (DataLayout == ColMajor) { + VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l), twod_patch(0,x,y,0,patch_loc)); + } else { + VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l), twod_patch(patch_loc,0,x,y,0)); + } + } + } + } + } + } + } + + patch_dims[0] = 1; + patch_dims[1] = 2; + patch_dims[2] = 3; + patch_dims[3] = 5; + Tensor<float, 5, DataLayout> threed_patch; + threed_patch = tensor.extract_patches(patch_dims); + + if (DataLayout == ColMajor) { + VERIFY_IS_EQUAL(threed_patch.dimension(0), 1); + VERIFY_IS_EQUAL(threed_patch.dimension(1), 2); + VERIFY_IS_EQUAL(threed_patch.dimension(2), 3); + VERIFY_IS_EQUAL(threed_patch.dimension(3), 5); + VERIFY_IS_EQUAL(threed_patch.dimension(4), 2*2*3*3); + } else { + VERIFY_IS_EQUAL(threed_patch.dimension(0), 2*2*3*3); + VERIFY_IS_EQUAL(threed_patch.dimension(1), 1); + VERIFY_IS_EQUAL(threed_patch.dimension(2), 2); + VERIFY_IS_EQUAL(threed_patch.dimension(3), 3); + VERIFY_IS_EQUAL(threed_patch.dimension(4), 5); + } + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 2; ++j) { + for (int k = 0; k < 3; ++k) { + for (int l = 0; l < 3; ++l) { + int patch_loc; + if (DataLayout == ColMajor) { + patch_loc = i + 2 * (j + 2 * (k + 3 * l)); + } else { + patch_loc = l + 3 * (k + 3 * (j + 2 * i)); + } + for (int x = 0; x < 2; ++x) { + for (int y = 0; y < 3; ++y) { + for (int z = 0; z < 5; ++z) { + if (DataLayout == ColMajor) { + VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l+z), threed_patch(0,x,y,z,patch_loc)); + } else { + VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l+z), threed_patch(patch_loc,0,x,y,z)); + } + } + } + } + } + } + } + } +} + +void test_cxx11_tensor_patch() +{ + CALL_SUBTEST(test_simple_patch<ColMajor>()); + CALL_SUBTEST(test_simple_patch<RowMajor>()); + // CALL_SUBTEST(test_expr_shuffling()); +} |