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// 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>
static void test_static_index_list()
{
Tensor<float, 4> tensor(2,3,5,7);
tensor.setRandom();
constexpr auto reduction_axis = make_index_list(0, 1, 2);
VERIFY_IS_EQUAL(internal::array_get<0>(reduction_axis), 0);
VERIFY_IS_EQUAL(internal::array_get<1>(reduction_axis), 1);
VERIFY_IS_EQUAL(internal::array_get<2>(reduction_axis), 2);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[0]), 0);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[1]), 1);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[2]), 2);
EIGEN_STATIC_ASSERT((internal::array_get<0>(reduction_axis) == 0), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::array_get<1>(reduction_axis) == 1), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::array_get<2>(reduction_axis) == 2), YOU_MADE_A_PROGRAMMING_MISTAKE);
Tensor<float, 1> result = tensor.sum(reduction_axis);
for (int i = 0; i < result.size(); ++i) {
float expected = 0.0f;
for (int j = 0; j < 2; ++j) {
for (int k = 0; k < 3; ++k) {
for (int l = 0; l < 5; ++l) {
expected += tensor(j,k,l,i);
}
}
}
VERIFY_IS_APPROX(result(i), expected);
}
}
static void test_dynamic_index_list()
{
Tensor<float, 4> tensor(2,3,5,7);
tensor.setRandom();
int dim1 = 2;
int dim2 = 1;
int dim3 = 0;
auto reduction_axis = make_index_list(dim1, dim2, dim3);
VERIFY_IS_EQUAL(internal::array_get<0>(reduction_axis), 2);
VERIFY_IS_EQUAL(internal::array_get<1>(reduction_axis), 1);
VERIFY_IS_EQUAL(internal::array_get<2>(reduction_axis), 0);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[0]), 2);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[1]), 1);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[2]), 0);
Tensor<float, 1> result = tensor.sum(reduction_axis);
for (int i = 0; i < result.size(); ++i) {
float expected = 0.0f;
for (int j = 0; j < 2; ++j) {
for (int k = 0; k < 3; ++k) {
for (int l = 0; l < 5; ++l) {
expected += tensor(j,k,l,i);
}
}
}
VERIFY_IS_APPROX(result(i), expected);
}
}
static void test_mixed_index_list()
{
Tensor<float, 4> tensor(2,3,5,7);
tensor.setRandom();
int dim2 = 1;
int dim4 = 3;
auto reduction_axis = make_index_list(0, dim2, 2, dim4);
VERIFY_IS_EQUAL(internal::array_get<0>(reduction_axis), 0);
VERIFY_IS_EQUAL(internal::array_get<1>(reduction_axis), 1);
VERIFY_IS_EQUAL(internal::array_get<2>(reduction_axis), 2);
VERIFY_IS_EQUAL(internal::array_get<3>(reduction_axis), 3);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[0]), 0);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[1]), 1);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[2]), 2);
VERIFY_IS_EQUAL(static_cast<DenseIndex>(reduction_axis[3]), 3);
typedef IndexList<type2index<0>, int, type2index<2>, int> ReductionIndices;
ReductionIndices reduction_indices;
reduction_indices.set(1, 1);
reduction_indices.set(3, 3);
EIGEN_STATIC_ASSERT((internal::array_get<0>(reduction_indices) == 0), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::array_get<2>(reduction_indices) == 2), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::index_known_statically<ReductionIndices>()(0) == true), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::index_known_statically<ReductionIndices>()(2) == true), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::index_statically_eq<ReductionIndices>()(0, 0) == true), YOU_MADE_A_PROGRAMMING_MISTAKE);
EIGEN_STATIC_ASSERT((internal::index_statically_eq<ReductionIndices>()(2, 2) == true), YOU_MADE_A_PROGRAMMING_MISTAKE);
Tensor<float, 1> result1 = tensor.sum(reduction_axis);
Tensor<float, 1> result2 = tensor.sum(reduction_indices);
float expected = 0.0f;
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) {
expected += tensor(i,j,k,l);
}
}
}
}
VERIFY_IS_APPROX(result1(0), expected);
VERIFY_IS_APPROX(result2(0), expected);
}
void test_cxx11_tensor_index_list()
{
CALL_SUBTEST(test_static_index_list());
CALL_SUBTEST(test_dynamic_index_list());
CALL_SUBTEST(test_mixed_index_list());
}
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