// 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()); }