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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;
typedef Tensor<float, 1>::DimensionPair DimPair;
static void test_evals()
{
Tensor<float, 2> mat1(2, 3);
Tensor<float, 2> mat2(2, 3);
Tensor<float, 2> mat3(3, 2);
mat1.setRandom();
mat2.setRandom();
mat3.setRandom();
Tensor<float, 2> mat4(3,3);
mat4.setZero();
Eigen::array<DimPair, 1> dims3({{DimPair(0, 0)}});
TensorEvaluator<decltype(mat1.contract(mat2, dims3))> eval(mat1.contract(mat2, dims3));
eval.evalTo(mat4.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat2, dims3))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 3);
VERIFY_IS_EQUAL(eval.dimensions()[1], 3);
VERIFY_IS_APPROX(mat4(0,0), mat1(0,0)*mat2(0,0) + mat1(1,0)*mat2(1,0));
VERIFY_IS_APPROX(mat4(0,1), mat1(0,0)*mat2(0,1) + mat1(1,0)*mat2(1,1));
VERIFY_IS_APPROX(mat4(0,2), mat1(0,0)*mat2(0,2) + mat1(1,0)*mat2(1,2));
VERIFY_IS_APPROX(mat4(1,0), mat1(0,1)*mat2(0,0) + mat1(1,1)*mat2(1,0));
VERIFY_IS_APPROX(mat4(1,1), mat1(0,1)*mat2(0,1) + mat1(1,1)*mat2(1,1));
VERIFY_IS_APPROX(mat4(1,2), mat1(0,1)*mat2(0,2) + mat1(1,1)*mat2(1,2));
VERIFY_IS_APPROX(mat4(2,0), mat1(0,2)*mat2(0,0) + mat1(1,2)*mat2(1,0));
VERIFY_IS_APPROX(mat4(2,1), mat1(0,2)*mat2(0,1) + mat1(1,2)*mat2(1,1));
VERIFY_IS_APPROX(mat4(2,2), mat1(0,2)*mat2(0,2) + mat1(1,2)*mat2(1,2));
Tensor<float, 2> mat5(2,2);
mat5.setZero();
Eigen::array<DimPair, 1> dims4({{DimPair(1, 1)}});
TensorEvaluator<decltype(mat1.contract(mat2, dims4))> eval2(mat1.contract(mat2, dims4));
eval2.evalTo(mat5.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat2, dims4))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval2.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval2.dimensions()[1], 2);
VERIFY_IS_APPROX(mat5(0,0), mat1(0,0)*mat2(0,0) + mat1(0,1)*mat2(0,1) + mat1(0,2)*mat2(0,2));
VERIFY_IS_APPROX(mat5(0,1), mat1(0,0)*mat2(1,0) + mat1(0,1)*mat2(1,1) + mat1(0,2)*mat2(1,2));
VERIFY_IS_APPROX(mat5(1,0), mat1(1,0)*mat2(0,0) + mat1(1,1)*mat2(0,1) + mat1(1,2)*mat2(0,2));
VERIFY_IS_APPROX(mat5(1,1), mat1(1,0)*mat2(1,0) + mat1(1,1)*mat2(1,1) + mat1(1,2)*mat2(1,2));
Tensor<float, 2> mat6(2,2);
mat6.setZero();
Eigen::array<DimPair, 1> dims6({{DimPair(1, 0)}});
TensorEvaluator<decltype(mat1.contract(mat3, dims6))> eval3(mat1.contract(mat3, dims6));
eval3.evalTo(mat6.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat3, dims6))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval3.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval3.dimensions()[1], 2);
VERIFY_IS_APPROX(mat6(0,0), mat1(0,0)*mat3(0,0) + mat1(0,1)*mat3(1,0) + mat1(0,2)*mat3(2,0));
VERIFY_IS_APPROX(mat6(0,1), mat1(0,0)*mat3(0,1) + mat1(0,1)*mat3(1,1) + mat1(0,2)*mat3(2,1));
VERIFY_IS_APPROX(mat6(1,0), mat1(1,0)*mat3(0,0) + mat1(1,1)*mat3(1,0) + mat1(1,2)*mat3(2,0));
VERIFY_IS_APPROX(mat6(1,1), mat1(1,0)*mat3(0,1) + mat1(1,1)*mat3(1,1) + mat1(1,2)*mat3(2,1));
}
static void test_scalar()
{
Tensor<float, 1> vec1({6});
Tensor<float, 1> vec2({6});
vec1.setRandom();
vec2.setRandom();
Tensor<float, 1> scalar(1);
scalar.setZero();
Eigen::array<DimPair, 1> dims({{DimPair(0, 0)}});
TensorEvaluator<decltype(vec1.contract(vec2, dims))> eval(vec1.contract(vec2, dims));
eval.evalTo(scalar.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(vec1.contract(vec2, dims))>::NumDims==1ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
float expected = 0.0f;
for (int i = 0; i < 6; ++i) {
expected += vec1(i) * vec2(i);
}
VERIFY_IS_APPROX(scalar(0), expected);
}
static void test_multidims()
{
Tensor<float, 3> mat1(2, 2, 2);
Tensor<float, 4> mat2(2, 2, 2, 2);
mat1.setRandom();
mat2.setRandom();
Tensor<float, 3> mat3(2, 2, 2);
mat3.setZero();
Eigen::array<DimPair, 2> dims({{DimPair(1, 2), DimPair(2, 3)}});
TensorEvaluator<decltype(mat1.contract(mat2, dims))> eval(mat1.contract(mat2, dims));
eval.evalTo(mat3.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(mat1.contract(mat2, dims))>::NumDims==3ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval.dimensions()[1], 2);
VERIFY_IS_EQUAL(eval.dimensions()[2], 2);
VERIFY_IS_APPROX(mat3(0,0,0), mat1(0,0,0)*mat2(0,0,0,0) + mat1(0,1,0)*mat2(0,0,1,0) +
mat1(0,0,1)*mat2(0,0,0,1) + mat1(0,1,1)*mat2(0,0,1,1));
VERIFY_IS_APPROX(mat3(0,0,1), mat1(0,0,0)*mat2(0,1,0,0) + mat1(0,1,0)*mat2(0,1,1,0) +
mat1(0,0,1)*mat2(0,1,0,1) + mat1(0,1,1)*mat2(0,1,1,1));
VERIFY_IS_APPROX(mat3(0,1,0), mat1(0,0,0)*mat2(1,0,0,0) + mat1(0,1,0)*mat2(1,0,1,0) +
mat1(0,0,1)*mat2(1,0,0,1) + mat1(0,1,1)*mat2(1,0,1,1));
VERIFY_IS_APPROX(mat3(0,1,1), mat1(0,0,0)*mat2(1,1,0,0) + mat1(0,1,0)*mat2(1,1,1,0) +
mat1(0,0,1)*mat2(1,1,0,1) + mat1(0,1,1)*mat2(1,1,1,1));
VERIFY_IS_APPROX(mat3(1,0,0), mat1(1,0,0)*mat2(0,0,0,0) + mat1(1,1,0)*mat2(0,0,1,0) +
mat1(1,0,1)*mat2(0,0,0,1) + mat1(1,1,1)*mat2(0,0,1,1));
VERIFY_IS_APPROX(mat3(1,0,1), mat1(1,0,0)*mat2(0,1,0,0) + mat1(1,1,0)*mat2(0,1,1,0) +
mat1(1,0,1)*mat2(0,1,0,1) + mat1(1,1,1)*mat2(0,1,1,1));
VERIFY_IS_APPROX(mat3(1,1,0), mat1(1,0,0)*mat2(1,0,0,0) + mat1(1,1,0)*mat2(1,0,1,0) +
mat1(1,0,1)*mat2(1,0,0,1) + mat1(1,1,1)*mat2(1,0,1,1));
VERIFY_IS_APPROX(mat3(1,1,1), mat1(1,0,0)*mat2(1,1,0,0) + mat1(1,1,0)*mat2(1,1,1,0) +
mat1(1,0,1)*mat2(1,1,0,1) + mat1(1,1,1)*mat2(1,1,1,1));
}
static void test_expr()
{
Tensor<float, 2> mat1(2, 3);
Tensor<float, 2> mat2(3, 2);
mat1.setRandom();
mat2.setRandom();
Tensor<float, 2> mat3(2,2);
Eigen::array<DimPair, 1> dims({{DimPair(1, 0)}});
mat3 = mat1.contract(mat2, dims);
VERIFY_IS_APPROX(mat3(0,0), mat1(0,0)*mat2(0,0) + mat1(0,1)*mat2(1,0) + mat1(0,2)*mat2(2,0));
VERIFY_IS_APPROX(mat3(0,1), mat1(0,0)*mat2(0,1) + mat1(0,1)*mat2(1,1) + mat1(0,2)*mat2(2,1));
VERIFY_IS_APPROX(mat3(1,0), mat1(1,0)*mat2(0,0) + mat1(1,1)*mat2(1,0) + mat1(1,2)*mat2(2,0));
VERIFY_IS_APPROX(mat3(1,1), mat1(1,0)*mat2(0,1) + mat1(1,1)*mat2(1,1) + mat1(1,2)*mat2(2,1));
}
void test_cxx11_tensor_contraction()
{
CALL_SUBTEST(test_evals());
CALL_SUBTEST(test_scalar());
CALL_SUBTEST(test_multidims());
CALL_SUBTEST(test_expr());
}
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