mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
117 lines
3.0 KiB
C++
117 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;
|
||
|
|
||
|
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());
|
||
|
}
|