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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>
using Eigen::Tensor;
static void test_simple_reshape()
{
Tensor<float, 5> tensor1(2,3,1,7,1);
tensor1.setRandom();
Tensor<float, 3> tensor2(2,3,7);
Tensor<float, 2> tensor3(6,7);
Tensor<float, 2> tensor4(2,21);
Tensor<float, 3>::Dimensions dim1{{2,3,7}};
tensor2 = tensor1.reshape(dim1);
Tensor<float, 2>::Dimensions dim2{{6,7}};
tensor3 = tensor1.reshape(dim2);
Tensor<float, 2>::Dimensions dim3{{2,21}};
tensor4 = tensor1.reshape(dim1).reshape(dim3);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 3; ++j) {
for (int k = 0; k < 7; ++k) {
VERIFY_IS_EQUAL(tensor1(i,j,0,k,0), tensor2(i,j,k));
VERIFY_IS_EQUAL(tensor1(i,j,0,k,0), tensor3(i+2*j,k));
VERIFY_IS_EQUAL(tensor1(i,j,0,k,0), tensor4(i,j+3*k));
}
}
}
}
static void test_reshape_in_expr() {
MatrixXf m1(2,3*5*7*11);
MatrixXf m2(3*5*7*11,13);
m1.setRandom();
m2.setRandom();
MatrixXf m3 = m1 * m2;
TensorMap<Tensor<float, 5>> tensor1(m1.data(), 2,3,5,7,11);
TensorMap<Tensor<float, 5>> tensor2(m2.data(), 3,5,7,11,13);
Tensor<float, 2>::Dimensions newDims1{{2,3*5*7*11}};
Tensor<float, 2>::Dimensions newDims2{{3*5*7*11,13}};
typedef Tensor<float, 1>::DimensionPair DimPair;
array<DimPair, 1> contract_along{{DimPair(1, 0)}};
Tensor<float, 2> tensor3(2,13);
tensor3 = tensor1.reshape(newDims1).contract(tensor2.reshape(newDims2), contract_along);
Map<MatrixXf> res(tensor3.data(), 2, 13);
for (int i = 0; i < 2; ++i) {
for (int j = 0; j < 13; ++j) {
VERIFY_IS_APPROX(res(i,j), m3(i,j));
}
}
}
void test_cxx11_tensor_morphing()
{
CALL_SUBTEST(test_simple_reshape());
CALL_SUBTEST(test_reshape_in_expr());
}
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