eigen/unsupported/test/cxx11_tensor_striding.cpp
Gael Guennebaud 82f0ce2726 Get rid of EIGEN_TEST_FUNC, unit tests must now be declared with EIGEN_DECLARE_TEST(mytest) { /* code */ }.
This provide several advantages:
- more flexibility in designing unit tests
- unit tests can be glued to speed up compilation
- unit tests are compiled with same predefined macros, which is a requirement for zapcc
2018-07-17 14:46:15 +02:00

120 lines
3.0 KiB
C++

// 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_striding()
{
Tensor<float, 4, DataLayout> tensor(2,3,5,7);
tensor.setRandom();
array<ptrdiff_t, 4> strides;
strides[0] = 1;
strides[1] = 1;
strides[2] = 1;
strides[3] = 1;
Tensor<float, 4, DataLayout> no_stride;
no_stride = tensor.stride(strides);
VERIFY_IS_EQUAL(no_stride.dimension(0), 2);
VERIFY_IS_EQUAL(no_stride.dimension(1), 3);
VERIFY_IS_EQUAL(no_stride.dimension(2), 5);
VERIFY_IS_EQUAL(no_stride.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_stride(i,j,k,l));
}
}
}
}
strides[0] = 2;
strides[1] = 4;
strides[2] = 2;
strides[3] = 3;
Tensor<float, 4, DataLayout> stride;
stride = tensor.stride(strides);
VERIFY_IS_EQUAL(stride.dimension(0), 1);
VERIFY_IS_EQUAL(stride.dimension(1), 1);
VERIFY_IS_EQUAL(stride.dimension(2), 3);
VERIFY_IS_EQUAL(stride.dimension(3), 3);
for (int i = 0; i < 1; ++i) {
for (int j = 0; j < 1; ++j) {
for (int k = 0; k < 3; ++k) {
for (int l = 0; l < 3; ++l) {
VERIFY_IS_EQUAL(tensor(2*i,4*j,2*k,3*l), stride(i,j,k,l));
}
}
}
}
}
template<int DataLayout>
static void test_striding_as_lvalue()
{
Tensor<float, 4, DataLayout> tensor(2,3,5,7);
tensor.setRandom();
array<ptrdiff_t, 4> strides;
strides[0] = 2;
strides[1] = 4;
strides[2] = 2;
strides[3] = 3;
Tensor<float, 4, DataLayout> result(3, 12, 10, 21);
result.stride(strides) = tensor;
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), result(2*i,4*j,2*k,3*l));
}
}
}
}
array<ptrdiff_t, 4> no_strides;
no_strides[0] = 1;
no_strides[1] = 1;
no_strides[2] = 1;
no_strides[3] = 1;
Tensor<float, 4, DataLayout> result2(3, 12, 10, 21);
result2.stride(strides) = tensor.stride(no_strides);
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), result2(2*i,4*j,2*k,3*l));
}
}
}
}
}
EIGEN_DECLARE_TEST(cxx11_tensor_striding)
{
CALL_SUBTEST(test_simple_striding<ColMajor>());
CALL_SUBTEST(test_simple_striding<RowMajor>());
CALL_SUBTEST(test_striding_as_lvalue<ColMajor>());
CALL_SUBTEST(test_striding_as_lvalue<RowMajor>());
}