// 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_patch()
{
Tensor<
float,
4, DataLayout> tensor(
2,
3,
5,
7);
tensor.setRandom();
array<ptrdiff_t,
4> patch_dims;
patch_dims[
0] =
1;
patch_dims[
1] =
1;
patch_dims[
2] =
1;
patch_dims[
3] =
1;
Tensor<
float,
5, DataLayout> no_patch;
no_patch = tensor.extract_patches(patch_dims);
if (DataLayout == ColMajor) {
VERIFY_IS_EQUAL(no_patch.dimension(
0),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
1),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
2),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
3),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
4), tensor.size());
}
else {
VERIFY_IS_EQUAL(no_patch.dimension(
0), tensor.size());
VERIFY_IS_EQUAL(no_patch.dimension(
1),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
2),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
3),
1);
VERIFY_IS_EQUAL(no_patch.dimension(
4),
1);
}
for (
int i =
0; i < tensor.size(); ++i) {
VERIFY_IS_EQUAL(tensor.data()[i], no_patch.data()[i]);
}
patch_dims[
0] =
2;
patch_dims[
1] =
3;
patch_dims[
2] =
5;
patch_dims[
3] =
7;
Tensor<
float,
5, DataLayout> single_patch;
single_patch = tensor.extract_patches(patch_dims);
if (DataLayout == ColMajor) {
VERIFY_IS_EQUAL(single_patch.dimension(
0),
2);
VERIFY_IS_EQUAL(single_patch.dimension(
1),
3);
VERIFY_IS_EQUAL(single_patch.dimension(
2),
5);
VERIFY_IS_EQUAL(single_patch.dimension(
3),
7);
VERIFY_IS_EQUAL(single_patch.dimension(
4),
1);
}
else {
VERIFY_IS_EQUAL(single_patch.dimension(
0),
1);
VERIFY_IS_EQUAL(single_patch.dimension(
1),
2);
VERIFY_IS_EQUAL(single_patch.dimension(
2),
3);
VERIFY_IS_EQUAL(single_patch.dimension(
3),
5);
VERIFY_IS_EQUAL(single_patch.dimension(
4),
7);
}
for (
int i =
0; i < tensor.size(); ++i) {
VERIFY_IS_EQUAL(tensor.data()[i], single_patch.data()[i]);
}
patch_dims[
0] =
1;
patch_dims[
1] =
2;
patch_dims[
2] =
2;
patch_dims[
3] =
1;
Tensor<
float,
5, DataLayout> twod_patch;
twod_patch = tensor.extract_patches(patch_dims);
if (DataLayout == ColMajor) {
VERIFY_IS_EQUAL(twod_patch.dimension(
0),
1);
VERIFY_IS_EQUAL(twod_patch.dimension(
1),
2);
VERIFY_IS_EQUAL(twod_patch.dimension(
2),
2);
VERIFY_IS_EQUAL(twod_patch.dimension(
3),
1);
VERIFY_IS_EQUAL(twod_patch.dimension(
4),
2*
2*
4*
7);
}
else {
VERIFY_IS_EQUAL(twod_patch.dimension(
0),
2*
2*
4*
7);
VERIFY_IS_EQUAL(twod_patch.dimension(
1),
1);
VERIFY_IS_EQUAL(twod_patch.dimension(
2),
2);
VERIFY_IS_EQUAL(twod_patch.dimension(
3),
2);
VERIFY_IS_EQUAL(twod_patch.dimension(
4),
1);
}
for (
int i =
0; i <
2; ++i) {
for (
int j =
0; j <
2; ++j) {
for (
int k =
0; k <
4; ++k) {
for (
int l =
0; l <
7; ++l) {
int patch_loc;
if (DataLayout == ColMajor) {
patch_loc = i +
2 * (j +
2 * (k +
4 * l));
}
else {
patch_loc = l +
7 * (k +
4 * (j +
2 * i));
}
for (
int x =
0; x <
2; ++x) {
for (
int y =
0; y <
2; ++y) {
if (DataLayout == ColMajor) {
VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l), twod_patch(
0,x,y,
0,patch_loc));
}
else {
VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l), twod_patch(patch_loc,
0,x,y,
0));
}
}
}
}
}
}
}
patch_dims[
0] =
1;
patch_dims[
1] =
2;
patch_dims[
2] =
3;
patch_dims[
3] =
5;
Tensor<
float,
5, DataLayout> threed_patch;
threed_patch = tensor.extract_patches(patch_dims);
if (DataLayout == ColMajor) {
VERIFY_IS_EQUAL(threed_patch.dimension(
0),
1);
VERIFY_IS_EQUAL(threed_patch.dimension(
1),
2);
VERIFY_IS_EQUAL(threed_patch.dimension(
2),
3);
VERIFY_IS_EQUAL(threed_patch.dimension(
3),
5);
VERIFY_IS_EQUAL(threed_patch.dimension(
4),
2*
2*
3*
3);
}
else {
VERIFY_IS_EQUAL(threed_patch.dimension(
0),
2*
2*
3*
3);
VERIFY_IS_EQUAL(threed_patch.dimension(
1),
1);
VERIFY_IS_EQUAL(threed_patch.dimension(
2),
2);
VERIFY_IS_EQUAL(threed_patch.dimension(
3),
3);
VERIFY_IS_EQUAL(threed_patch.dimension(
4),
5);
}
for (
int i =
0; i <
2; ++i) {
for (
int j =
0; j <
2; ++j) {
for (
int k =
0; k <
3; ++k) {
for (
int l =
0; l <
3; ++l) {
int patch_loc;
if (DataLayout == ColMajor) {
patch_loc = i +
2 * (j +
2 * (k +
3 * l));
}
else {
patch_loc = l +
3 * (k +
3 * (j +
2 * i));
}
for (
int x =
0; x <
2; ++x) {
for (
int y =
0; y <
3; ++y) {
for (
int z =
0; z <
5; ++z) {
if (DataLayout == ColMajor) {
VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l+z), threed_patch(
0,x,y,z,patch_loc));
}
else {
VERIFY_IS_EQUAL(tensor(i,j+x,k+y,l+z), threed_patch(patch_loc,
0,x,y,z));
}
}
}
}
}
}
}
}
}
EIGEN_DECLARE_TEST(cxx11_tensor_patch)
{
CALL_SUBTEST(test_simple_patch<ColMajor>());
CALL_SUBTEST(test_simple_patch<RowMajor>());
// CALL_SUBTEST(test_expr_shuffling());
}