eigen/unsupported/test/cxx11_tensor_chipping.cpp

245 lines
6.4 KiB
C++
Raw Normal View History

2014-10-11 07:11:27 +08:00
// 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_chip()
{
Tensor<float, 5> tensor(2,3,5,7,11);
tensor.setRandom();
Tensor<float, 4> chip1;
chip1 = tensor.chip<0>(1);
VERIFY_IS_EQUAL(chip1.dimension(0), 3);
VERIFY_IS_EQUAL(chip1.dimension(1), 5);
VERIFY_IS_EQUAL(chip1.dimension(2), 7);
VERIFY_IS_EQUAL(chip1.dimension(3), 11);
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 5; ++j) {
for (int k = 0; k < 7; ++k) {
for (int l = 0; l < 11; ++l) {
VERIFY_IS_EQUAL(chip1(i,j,k,l), tensor(1,i,j,k,l));
}
}
}
}
Tensor<float, 4> chip2 = tensor.chip<1>(1);
VERIFY_IS_EQUAL(chip2.dimension(0), 2);
VERIFY_IS_EQUAL(chip2.dimension(1), 5);
VERIFY_IS_EQUAL(chip2.dimension(2), 7);
VERIFY_IS_EQUAL(chip2.dimension(3), 11);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 7; ++k) {
for (int l = 0; l < 11; ++l) {
VERIFY_IS_EQUAL(chip2(i,j,k,l), tensor(i,1,j,k,l));
}
}
}
}
Tensor<float, 4> chip3 = tensor.chip<2>(2);
VERIFY_IS_EQUAL(chip3.dimension(0), 2);
VERIFY_IS_EQUAL(chip3.dimension(1), 3);
VERIFY_IS_EQUAL(chip3.dimension(2), 7);
VERIFY_IS_EQUAL(chip3.dimension(3), 11);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 7; ++k) {
for (int l = 0; l < 11; ++l) {
VERIFY_IS_EQUAL(chip3(i,j,k,l), tensor(i,j,2,k,l));
}
}
}
}
Tensor<float, 4> chip4(tensor.chip<3>(5));
VERIFY_IS_EQUAL(chip4.dimension(0), 2);
VERIFY_IS_EQUAL(chip4.dimension(1), 3);
VERIFY_IS_EQUAL(chip4.dimension(2), 5);
VERIFY_IS_EQUAL(chip4.dimension(3), 11);
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(chip4(i,j,k,l), tensor(i,j,k,5,l));
}
}
}
}
Tensor<float, 4> chip5(tensor.chip<4>(7));
VERIFY_IS_EQUAL(chip5.dimension(0), 2);
VERIFY_IS_EQUAL(chip5.dimension(1), 3);
VERIFY_IS_EQUAL(chip5.dimension(2), 5);
VERIFY_IS_EQUAL(chip5.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(chip5(i,j,k,l), tensor(i,j,k,l,7));
}
}
}
}
}
static void test_chip_in_expr() {
Tensor<float, 5> input1(2,3,5,7,11);
input1.setRandom();
Tensor<float, 4> input2(3,5,7,11);
input2.setRandom();
Tensor<float, 4> result = input1.chip<0>(0) + input2;
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 5; ++j) {
for (int k = 0; k < 7; ++k) {
for (int l = 0; l < 11; ++l) {
float expected = input1(0,i,j,k,l) + input2(i,j,k,l);
VERIFY_IS_EQUAL(result(i,j,k,l), expected);
}
}
}
}
Tensor<float, 3> input3(3,7,11);
input3.setRandom();
Tensor<float, 3> result2 = input1.chip<0>(0).chip<1>(2) + input3;
for (int i = 0; i < 3; ++i) {
for (int j = 0; j < 7; ++j) {
for (int k = 0; k < 11; ++k) {
float expected = input1(0,i,2,j,k) + input3(i,j,k);
VERIFY_IS_EQUAL(result2(i,j,k), expected);
}
}
}
}
static void test_chip_as_lvalue()
{
Tensor<float, 5> input1(2,3,5,7,11);
input1.setRandom();
Tensor<float, 4> input2(3,5,7,11);
input2.setRandom();
Tensor<float, 5> tensor = input1;
tensor.chip<0>(1) = input2;
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) {
for (int m = 0; m < 11; ++m) {
if (i != 1) {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
} else {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input2(j,k,l,m));
}
}
}
}
}
}
Tensor<float, 4> input3(2,5,7,11);
input3.setRandom();
tensor = input1;
tensor.chip<1>(1) = input3;
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) {
for (int m = 0; m < 11; ++m) {
if (j != 1) {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
} else {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input3(i,k,l,m));
}
}
}
}
}
}
Tensor<float, 4> input4(2,3,7,11);
input4.setRandom();
tensor = input1;
tensor.chip<2>(3) = input4;
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) {
for (int m = 0; m < 11; ++m) {
if (k != 3) {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
} else {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input4(i,j,l,m));
}
}
}
}
}
}
Tensor<float, 4> input5(2,3,5,11);
input5.setRandom();
tensor = input1;
tensor.chip<3>(4) = input5;
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) {
for (int m = 0; m < 11; ++m) {
if (l != 4) {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
} else {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input5(i,j,k,m));
}
}
}
}
}
}
Tensor<float, 4> input6(2,3,5,7);
input6.setRandom();
tensor = input1;
tensor.chip<4>(5) = input6;
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) {
for (int m = 0; m < 11; ++m) {
if (m != 5) {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m));
} else {
VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input6(i,j,k,l));
}
}
}
}
}
}
}
void test_cxx11_tensor_chipping()
{
CALL_SUBTEST(test_simple_chip());
CALL_SUBTEST(test_chip_in_expr());
CALL_SUBTEST(test_chip_as_lvalue());
}