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Diffstat (limited to 'unsupported/test/cxx11_tensor_forced_eval.cpp')
-rw-r--r-- | unsupported/test/cxx11_tensor_forced_eval.cpp | 79 |
1 files changed, 79 insertions, 0 deletions
diff --git a/unsupported/test/cxx11_tensor_forced_eval.cpp b/unsupported/test/cxx11_tensor_forced_eval.cpp new file mode 100644 index 000000000..45d7345e9 --- /dev/null +++ b/unsupported/test/cxx11_tensor_forced_eval.cpp @@ -0,0 +1,79 @@ +// 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/Core> +#include <Eigen/CXX11/Tensor> + +using Eigen::MatrixXf; +using Eigen::Tensor; + +static void test_simple() +{ + MatrixXf m1(3,3); + MatrixXf m2(3,3); + m1.setRandom(); + m2.setRandom(); + + TensorMap<Tensor<float, 2> > mat1(m1.data(), 3,3); + TensorMap<Tensor<float, 2> > mat2(m2.data(), 3,3); + + Tensor<float, 2> mat3(3,3); + mat3 = mat1; + + typedef Tensor<float, 1>::DimensionPair DimPair; + Eigen::array<DimPair, 1> dims; + dims[0] = DimPair(1, 0); + + mat3 = mat3.contract(mat2, dims).eval(); + + VERIFY_IS_APPROX(mat3(0, 0), (m1*m2).eval()(0,0)); + VERIFY_IS_APPROX(mat3(0, 1), (m1*m2).eval()(0,1)); + VERIFY_IS_APPROX(mat3(0, 2), (m1*m2).eval()(0,2)); + VERIFY_IS_APPROX(mat3(1, 0), (m1*m2).eval()(1,0)); + VERIFY_IS_APPROX(mat3(1, 1), (m1*m2).eval()(1,1)); + VERIFY_IS_APPROX(mat3(1, 2), (m1*m2).eval()(1,2)); + VERIFY_IS_APPROX(mat3(2, 0), (m1*m2).eval()(2,0)); + VERIFY_IS_APPROX(mat3(2, 1), (m1*m2).eval()(2,1)); + VERIFY_IS_APPROX(mat3(2, 2), (m1*m2).eval()(2,2)); +} + + +static void test_const() +{ + MatrixXf input(3,3); + input.setRandom(); + MatrixXf output = input; + output.rowwise() -= input.colwise().maxCoeff(); + + Eigen::array<int, 1> depth_dim; + depth_dim[0] = 0; + Tensor<float, 2>::Dimensions dims2d; + dims2d[0] = 1; + dims2d[1] = 3; + Eigen::array<int, 2> bcast; + bcast[0] = 3; + bcast[1] = 1; + const TensorMap<Tensor<const float, 2> > input_tensor(input.data(), 3, 3); + Tensor<float, 2> output_tensor= (input_tensor - input_tensor.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast)); + + for (int i = 0; i < 3; ++i) { + for (int j = 0; j < 3; ++j) { + VERIFY_IS_APPROX(output(i, j), output_tensor(i, j)); + } + } +} + + +void test_cxx11_tensor_forced_eval() +{ + CALL_SUBTEST(test_simple()); + CALL_SUBTEST(test_const()); +} |