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Diffstat (limited to 'eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp')
| -rw-r--r-- | eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp b/eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp new file mode 100644 index 0000000..c88db7c --- /dev/null +++ b/eigen/unsupported/test/cxx11_tensor_shuffling_sycl.cpp @@ -0,0 +1,119 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2016 +// Mehdi Goli Codeplay Software Ltd. +// Ralph Potter Codeplay Software Ltd. +// Luke Iwanski Codeplay Software Ltd. +// Contact: <eigen@codeplay.com> +// 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/. + + +#define EIGEN_TEST_NO_LONGDOUBLE +#define EIGEN_TEST_NO_COMPLEX +#define EIGEN_TEST_FUNC cxx11_tensor_shuffling_sycl +#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t +#define EIGEN_USE_SYCL + + +#include "main.h" +#include <unsupported/Eigen/CXX11/Tensor> + +using Eigen::array; +using Eigen::SyclDevice; +using Eigen::Tensor; +using Eigen::TensorMap; + +template <typename DataType, int DataLayout, typename IndexType> +static void test_simple_shuffling_sycl(const Eigen::SyclDevice& sycl_device) +{ + IndexType sizeDim1 = 2; + IndexType sizeDim2 = 3; + IndexType sizeDim3 = 5; + IndexType sizeDim4 = 7; + array<IndexType, 4> tensorRange = {{sizeDim1, sizeDim2, sizeDim3, sizeDim4}}; + Tensor<DataType, 4, DataLayout,IndexType> tensor(tensorRange); + Tensor<DataType, 4, DataLayout,IndexType> no_shuffle(tensorRange); + tensor.setRandom(); + + const size_t buffSize =tensor.size()*sizeof(DataType); + array<IndexType, 4> shuffles; + shuffles[0] = 0; + shuffles[1] = 1; + shuffles[2] = 2; + shuffles[3] = 3; + DataType* gpu_data1 = static_cast<DataType*>(sycl_device.allocate(buffSize)); + DataType* gpu_data2 = static_cast<DataType*>(sycl_device.allocate(buffSize)); + + + TensorMap<Tensor<DataType, 4, DataLayout,IndexType>> gpu1(gpu_data1, tensorRange); + TensorMap<Tensor<DataType, 4, DataLayout,IndexType>> gpu2(gpu_data2, tensorRange); + + sycl_device.memcpyHostToDevice(gpu_data1, tensor.data(), buffSize); + + gpu2.device(sycl_device)=gpu1.shuffle(shuffles); + sycl_device.memcpyDeviceToHost(no_shuffle.data(), gpu_data2, buffSize); + sycl_device.synchronize(); + + VERIFY_IS_EQUAL(no_shuffle.dimension(0), sizeDim1); + VERIFY_IS_EQUAL(no_shuffle.dimension(1), sizeDim2); + VERIFY_IS_EQUAL(no_shuffle.dimension(2), sizeDim3); + VERIFY_IS_EQUAL(no_shuffle.dimension(3), sizeDim4); + + for (IndexType i = 0; i < sizeDim1; ++i) { + for (IndexType j = 0; j < sizeDim2; ++j) { + for (IndexType k = 0; k < sizeDim3; ++k) { + for (IndexType l = 0; l < sizeDim4; ++l) { + VERIFY_IS_EQUAL(tensor(i,j,k,l), no_shuffle(i,j,k,l)); + } + } + } + } + + shuffles[0] = 2; + shuffles[1] = 3; + shuffles[2] = 1; + shuffles[3] = 0; + array<IndexType, 4> tensorrangeShuffle = {{sizeDim3, sizeDim4, sizeDim2, sizeDim1}}; + Tensor<DataType, 4, DataLayout,IndexType> shuffle(tensorrangeShuffle); + DataType* gpu_data3 = static_cast<DataType*>(sycl_device.allocate(buffSize)); + TensorMap<Tensor<DataType, 4,DataLayout,IndexType>> gpu3(gpu_data3, tensorrangeShuffle); + + gpu3.device(sycl_device)=gpu1.shuffle(shuffles); + sycl_device.memcpyDeviceToHost(shuffle.data(), gpu_data3, buffSize); + sycl_device.synchronize(); + + VERIFY_IS_EQUAL(shuffle.dimension(0), sizeDim3); + VERIFY_IS_EQUAL(shuffle.dimension(1), sizeDim4); + VERIFY_IS_EQUAL(shuffle.dimension(2), sizeDim2); + VERIFY_IS_EQUAL(shuffle.dimension(3), sizeDim1); + + for (IndexType i = 0; i < sizeDim1; ++i) { + for (IndexType j = 0; j < sizeDim2; ++j) { + for (IndexType k = 0; k < sizeDim3; ++k) { + for (IndexType l = 0; l < sizeDim4; ++l) { + VERIFY_IS_EQUAL(tensor(i,j,k,l), shuffle(k,l,j,i)); + } + } + } + } +} + + +template<typename DataType, typename dev_Selector> void sycl_shuffling_test_per_device(dev_Selector s){ + QueueInterface queueInterface(s); + auto sycl_device = Eigen::SyclDevice(&queueInterface); + test_simple_shuffling_sycl<DataType, RowMajor, int64_t>(sycl_device); + test_simple_shuffling_sycl<DataType, ColMajor, int64_t>(sycl_device); + +} +void test_cxx11_tensor_shuffling_sycl() +{ + for (const auto& device :Eigen::get_sycl_supported_devices()) { + CALL_SUBTEST(sycl_shuffling_test_per_device<float>(device)); + } +} |