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author | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2014-08-20 17:00:50 -0700 |
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committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2014-08-20 17:00:50 -0700 |
commit | 3d298da2696ac956a430f6fbef93bf65ada0d304 (patch) | |
tree | a4ccaec1aab6f8af017dddccc14cff594cc3c850 /unsupported/test/cxx11_tensor_broadcasting.cpp | |
parent | 9ac3c821ea3b956634116bcdf80bfab7d9a00d91 (diff) |
Added support for broadcasting
Diffstat (limited to 'unsupported/test/cxx11_tensor_broadcasting.cpp')
-rw-r--r-- | unsupported/test/cxx11_tensor_broadcasting.cpp | 114 |
1 files changed, 114 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_broadcasting.cpp b/unsupported/test/cxx11_tensor_broadcasting.cpp new file mode 100644 index 000000000..9663912a4 --- /dev/null +++ b/unsupported/test/cxx11_tensor_broadcasting.cpp @@ -0,0 +1,114 @@ +// 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_broadcasting() +{ + Tensor<float, 4> tensor(2,3,5,7); + tensor.setRandom(); + array<ptrdiff_t, 4> broadcasts; + broadcasts[0] = 1; + broadcasts[1] = 1; + broadcasts[2] = 1; + broadcasts[3] = 1; + + Tensor<float, 4> no_broadcast; + no_broadcast = tensor.broadcast(broadcasts); + + VERIFY_IS_EQUAL(no_broadcast.dimension(0), 2); + VERIFY_IS_EQUAL(no_broadcast.dimension(1), 3); + VERIFY_IS_EQUAL(no_broadcast.dimension(2), 5); + VERIFY_IS_EQUAL(no_broadcast.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_broadcast(i,j,k,l)); + } + } + } + } + + broadcasts[0] = 2; + broadcasts[1] = 3; + broadcasts[2] = 1; + broadcasts[3] = 4; + Tensor<float, 4> broadcast; + broadcast = tensor.broadcast(broadcasts); + + VERIFY_IS_EQUAL(broadcast.dimension(0), 4); + VERIFY_IS_EQUAL(broadcast.dimension(1), 9); + VERIFY_IS_EQUAL(broadcast.dimension(2), 5); + VERIFY_IS_EQUAL(broadcast.dimension(3), 28); + + for (int i = 0; i < 4; ++i) { + for (int j = 0; j < 9; ++j) { + for (int k = 0; k < 5; ++k) { + for (int l = 0; l < 28; ++l) { + VERIFY_IS_EQUAL(tensor(i%2,j%3,k%5,l%7), broadcast(i,j,k,l)); + } + } + } + } +} + + +static void test_vectorized_broadcasting() +{ + Tensor<float, 3> tensor(8,3,5); + tensor.setRandom(); + array<ptrdiff_t, 3> broadcasts; + broadcasts[0] = 2; + broadcasts[1] = 3; + broadcasts[2] = 4; + + Tensor<float, 3> broadcast; + broadcast = tensor.broadcast(broadcasts); + + VERIFY_IS_EQUAL(broadcast.dimension(0), 16); + VERIFY_IS_EQUAL(broadcast.dimension(1), 9); + VERIFY_IS_EQUAL(broadcast.dimension(2), 20); + + for (int i = 0; i < 16; ++i) { + for (int j = 0; j < 9; ++j) { + for (int k = 0; k < 20; ++k) { + VERIFY_IS_EQUAL(tensor(i%8,j%3,k%5), broadcast(i,j,k)); + } + } + } + + tensor.resize(11,3,5); + tensor.setRandom(); + broadcast = tensor.broadcast(broadcasts); + + VERIFY_IS_EQUAL(broadcast.dimension(0), 22); + VERIFY_IS_EQUAL(broadcast.dimension(1), 9); + VERIFY_IS_EQUAL(broadcast.dimension(2), 20); + + for (int i = 0; i < 22; ++i) { + for (int j = 0; j < 9; ++j) { + for (int k = 0; k < 20; ++k) { + VERIFY_IS_EQUAL(tensor(i%11,j%3,k%5), broadcast(i,j,k)); + } + } + } +} + + +void test_cxx11_tensor_broadcasting() +{ + CALL_SUBTEST(test_simple_broadcasting()); + CALL_SUBTEST(test_vectorized_broadcasting()); +} |