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77 lines
2.2 KiB
C++
77 lines
2.2 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) 2016 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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#define EIGEN_TEST_NO_LONGDOUBLE
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#define EIGEN_TEST_NO_COMPLEX
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#define EIGEN_TEST_FUNC cxx11_tensor_sycl_broadcast
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#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
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#define EIGEN_USE_SYCL
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#include "main.h"
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#include <unsupported/Eigen/CXX11/Tensor>
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using Eigen::array;
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using Eigen::SyclDevice;
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using Eigen::Tensor;
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using Eigen::TensorMap;
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// Types used in tests:
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using TestTensor = Tensor<float, 3>;
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using TestTensorMap = TensorMap<Tensor<float, 3>>;
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static void test_sycl_broadcast(){
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cl::sycl::gpu_selector s;
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cl::sycl::queue q(s, [=](cl::sycl::exception_list l) {
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for (const auto& e : l) {
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try {
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std::rethrow_exception(e);
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} catch (cl::sycl::exception e) {
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std::cout << e.what() << std::endl;
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}
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}
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});
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SyclDevice sycl_device(q);
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// BROADCAST test:
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array<int, 4> in_range = {{2, 3, 5, 7}};
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array<int, in_range.size()> broadcasts = {{2, 3, 1, 4}};
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array<int, in_range.size()> out_range; // = in_range * broadcasts
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for (size_t i = 0; i < out_range.size(); ++i)
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out_range[i] = in_range[i] * broadcasts[i];
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Tensor<float, in_range.size()> input(in_range);
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Tensor<float, out_range.size()> output(out_range);
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for (int i = 0; i < input.size(); ++i)
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input(i) = static_cast<float>(i);
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TensorMap<decltype(input)> gpu_in(input.data(), in_range);
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TensorMap<decltype(output)> gpu_out(output.data(), out_range);
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gpu_out.device(sycl_device) = gpu_in.broadcast(broadcasts);
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sycl_device.deallocate(output.data());
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for (size_t i = 0; i < in_range.size(); ++i)
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VERIFY_IS_EQUAL(output.dimension(i), out_range[i]);
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for (int i = 0; i < 4; ++i) {
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for (int j = 0; j < 9; ++j) {
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for (int k = 0; k < 5; ++k) {
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for (int l = 0; l < 28; ++l) {
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VERIFY_IS_APPROX(input(i%2,j%3,k%5,l%7), output(i,j,k,l));
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}
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}
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}
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}
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printf("Broadcast Test Passed\n");
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}
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void test_cxx11_tensor_sycl_broadcast() {
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CALL_SUBTEST(test_sycl_broadcast());
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}
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