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author | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2014-08-14 00:25:22 -0700 |
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committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2014-08-14 00:25:22 -0700 |
commit | 8c8db49331a89236be7fdf045279504dd7d1797a (patch) | |
tree | afa20dbc83cd003b096bc07adeda5057d9061865 /unsupported/test/cxx11_tensor_shuffling.cpp | |
parent | eeb43f9e2b7ac56af685d8fc494685df8227a53f (diff) |
Added a few regression tests
Diffstat (limited to 'unsupported/test/cxx11_tensor_shuffling.cpp')
-rw-r--r-- | unsupported/test/cxx11_tensor_shuffling.cpp | 116 |
1 files changed, 116 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_shuffling.cpp b/unsupported/test/cxx11_tensor_shuffling.cpp new file mode 100644 index 000000000..92dd01a52 --- /dev/null +++ b/unsupported/test/cxx11_tensor_shuffling.cpp @@ -0,0 +1,116 @@ +// 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; + +static void test_simple_shuffling() +{ + Tensor<float, 4> tensor(2,3,5,7); + tensor.setRandom(); + array<ptrdiff_t, 4> shuffles; + shuffles[0] = 0; + shuffles[1] = 1; + shuffles[2] = 2; + shuffles[3] = 3; + + Tensor<float, 4> no_shuffle; + no_shuffle = tensor.shuffle(shuffles); + + VERIFY_IS_EQUAL(no_shuffle.dimension(0), 2); + VERIFY_IS_EQUAL(no_shuffle.dimension(1), 3); + VERIFY_IS_EQUAL(no_shuffle.dimension(2), 5); + VERIFY_IS_EQUAL(no_shuffle.dimension(3), 7); + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 3; ++j) { + for (int k = 0; k < 5; ++k) { + for (int l = 0; l < 7; ++l) { + VERIFY_IS_EQUAL(tensor(i,j,k,l), no_shuffle(i,j,k,l)); + } + } + } + } + + shuffles[0] = 2; + shuffles[1] = 3; + shuffles[2] = 1; + shuffles[3] = 0; + Tensor<float, 4> shuffle; + shuffle = tensor.shuffle(shuffles); + + VERIFY_IS_EQUAL(shuffle.dimension(0), 5); + VERIFY_IS_EQUAL(shuffle.dimension(1), 7); + VERIFY_IS_EQUAL(shuffle.dimension(2), 3); + VERIFY_IS_EQUAL(shuffle.dimension(3), 2); + + for (int i = 0; i < 2; ++i) { + for (int j = 0; j < 3; ++j) { + for (int k = 0; k < 5; ++k) { + for (int l = 0; l < 7; ++l) { + VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(k,l,j,i)); + } + } + } + } +} + + +static void test_expr_shuffling() +{ + Tensor<float, 4> tensor(2,3,5,7); + tensor.setRandom(); + + array<ptrdiff_t, 4> shuffles; + shuffles[0] = 2; + shuffles[1] = 3; + shuffles[2] = 1; + shuffles[3] = 0; + Tensor<float, 4> expected; + expected = tensor.shuffle(shuffles); + + Tensor<float, 4> result(5,7,3,2); + + array<int, 4> src_slice_dim(Eigen::array<int, 4>(2,3,1,7)); + array<int, 4> src_slice_start(Eigen::array<int, 4>(0,0,0,0)); + array<int, 4> dst_slice_dim(Eigen::array<int, 4>(1,7,3,2)); + array<int, 4> dst_slice_start(Eigen::array<int, 4>(0,0,0,0)); + + for (int i = 0; i < 5; ++i) { + result.slice(dst_slice_start, dst_slice_dim) = + tensor.slice(src_slice_start, src_slice_dim).shuffle(shuffles); + src_slice_start[2] += 1; + dst_slice_start[0] += 1; + } + + VERIFY_IS_EQUAL(result.dimension(0), 5); + VERIFY_IS_EQUAL(result.dimension(1), 7); + VERIFY_IS_EQUAL(result.dimension(2), 3); + VERIFY_IS_EQUAL(result.dimension(3), 2); + + for (int i = 0; i < expected.dimension(0); ++i) { + for (int j = 0; j < expected.dimension(1); ++j) { + for (int k = 0; k < expected.dimension(2); ++k) { + for (int l = 0; l < expected.dimension(3); ++l) { + VERIFY_IS_EQUAL(result(i,j,k,l), expected(i,j,k,l)); + } + } + } + } +} + + +void test_cxx11_tensor_shuffling() +{ + CALL_SUBTEST(test_simple_shuffling()); + CALL_SUBTEST(test_expr_shuffling()); +} |