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72 lines
2.6 KiB
C++
72 lines
2.6 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include <Eigen/CXX11/Tensor>
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using Eigen::Tensor;
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using Eigen::DefaultDevice;
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static void test_evals()
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{
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Tensor<float, 2> input(3, 3);
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Tensor<float, 1> kernel(2);
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input.setRandom();
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kernel.setRandom();
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Tensor<float, 2> result(2,3);
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result.setZero();
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Eigen::array<Tensor<float, 2>::Index, 1> dims3({0});
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typedef TensorEvaluator<decltype(input.convolve(kernel, dims3)), DefaultDevice> Evaluator;
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Evaluator eval(input.convolve(kernel, dims3), DefaultDevice());
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eval.evalTo(result.data());
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EIGEN_STATIC_ASSERT(Evaluator::NumDims==2ul, YOU_MADE_A_PROGRAMMING_MISTAKE);
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VERIFY_IS_EQUAL(eval.dimensions()[0], 2);
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VERIFY_IS_EQUAL(eval.dimensions()[1], 3);
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VERIFY_IS_APPROX(result(0,0), input(0,0)*kernel(0) + input(1,0)*kernel(1)); // index 0
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VERIFY_IS_APPROX(result(0,1), input(0,1)*kernel(0) + input(1,1)*kernel(1)); // index 2
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VERIFY_IS_APPROX(result(0,2), input(0,2)*kernel(0) + input(1,2)*kernel(1)); // index 4
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VERIFY_IS_APPROX(result(1,0), input(1,0)*kernel(0) + input(2,0)*kernel(1)); // index 1
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VERIFY_IS_APPROX(result(1,1), input(1,1)*kernel(0) + input(2,1)*kernel(1)); // index 3
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VERIFY_IS_APPROX(result(1,2), input(1,2)*kernel(0) + input(2,2)*kernel(1)); // index 5
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}
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static void test_expr()
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{
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Tensor<float, 2> input(3, 3);
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Tensor<float, 2> kernel(2, 2);
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input.setRandom();
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kernel.setRandom();
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Tensor<float, 2> result(2,2);
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Eigen::array<ptrdiff_t, 2> dims({0, 1});
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result = input.convolve(kernel, dims);
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VERIFY_IS_APPROX(result(0,0), input(0,0)*kernel(0,0) + input(0,1)*kernel(0,1) +
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input(1,0)*kernel(1,0) + input(1,1)*kernel(1,1));
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VERIFY_IS_APPROX(result(0,1), input(0,1)*kernel(0,0) + input(0,2)*kernel(0,1) +
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input(1,1)*kernel(1,0) + input(1,2)*kernel(1,1));
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VERIFY_IS_APPROX(result(1,0), input(1,0)*kernel(0,0) + input(1,1)*kernel(0,1) +
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input(2,0)*kernel(1,0) + input(2,1)*kernel(1,1));
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VERIFY_IS_APPROX(result(1,1), input(1,1)*kernel(0,0) + input(1,2)*kernel(0,1) +
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input(2,1)*kernel(1,0) + input(2,2)*kernel(1,1));
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}
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void test_cxx11_tensor_convolution()
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{
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CALL_SUBTEST(test_evals());
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CALL_SUBTEST(test_expr());
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}
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