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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_evals()
{
Tensor<float, 2> input(3, 3);
Tensor<float, 1> kernel(2);
input.setRandom();
kernel.setRandom();
Tensor<float, 2> result(2,3);
result.setZero();
Eigen::array<Tensor<float, 2>::Index, 1> dims3({0});
TensorEvaluator<decltype(input.convolve(kernel, dims3))> eval(input.convolve(kernel, dims3));
eval.evalTo(result.data());
EIGEN_STATIC_ASSERT(TensorEvaluator<decltype(input.convolve(kernel, dims3))>::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
VERIFY_IS_EQUAL(eval.dimensions()[0], 2);
VERIFY_IS_EQUAL(eval.dimensions()[1], 3);
VERIFY_IS_APPROX(result(0,0), input(0,0)*kernel(0) + input(1,0)*kernel(1)); // index 0
VERIFY_IS_APPROX(result(0,1), input(0,1)*kernel(0) + input(1,1)*kernel(1)); // index 2
VERIFY_IS_APPROX(result(0,2), input(0,2)*kernel(0) + input(1,2)*kernel(1)); // index 4
VERIFY_IS_APPROX(result(1,0), input(1,0)*kernel(0) + input(2,0)*kernel(1)); // index 1
VERIFY_IS_APPROX(result(1,1), input(1,1)*kernel(0) + input(2,1)*kernel(1)); // index 3
VERIFY_IS_APPROX(result(1,2), input(1,2)*kernel(0) + input(2,2)*kernel(1)); // index 5
}
static void test_expr()
{
Tensor<float, 2> input(3, 3);
Tensor<float, 2> kernel(2, 2);
input.setRandom();
kernel.setRandom();
Tensor<float, 2> result(2,2);
Eigen::array<ptrdiff_t, 2> dims({0, 1});
result = input.convolve(kernel, dims);
VERIFY_IS_APPROX(result(0,0), input(0,0)*kernel(0,0) + input(0,1)*kernel(0,1) +
input(1,0)*kernel(1,0) + input(1,1)*kernel(1,1));
VERIFY_IS_APPROX(result(0,1), input(0,1)*kernel(0,0) + input(0,2)*kernel(0,1) +
input(1,1)*kernel(1,0) + input(1,2)*kernel(1,1));
VERIFY_IS_APPROX(result(1,0), input(1,0)*kernel(0,0) + input(1,1)*kernel(0,1) +
input(2,0)*kernel(1,0) + input(2,1)*kernel(1,1));
VERIFY_IS_APPROX(result(1,1), input(1,1)*kernel(0,0) + input(1,2)*kernel(0,1) +
input(2,1)*kernel(1,0) + input(2,2)*kernel(1,1));
}
void test_cxx11_tensor_convolution()
{
CALL_SUBTEST(test_evals());
CALL_SUBTEST(test_expr());
}
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