From 00f32752f7d0b193c6788691c3cf0b76457a044d Mon Sep 17 00:00:00 2001 From: Mehdi Goli Date: Thu, 28 Nov 2019 10:08:54 +0000 Subject: [SYCL] Rebasing the SYCL support branch on top of the Einge upstream master branch. * Unifying all loadLocalTile from lhs and rhs to an extract_block function. * Adding get_tensor operation which was missing in TensorContractionMapper. * Adding the -D method missing from cmake for Disable_Skinny Contraction operation. * Wrapping all the indices in TensorScanSycl into Scan parameter struct. * Fixing typo in Device SYCL * Unifying load to private register for tall/skinny no shared * Unifying load to vector tile for tensor-vector/vector-tensor operation * Removing all the LHS/RHS class for extracting data from global * Removing Outputfunction from TensorContractionSkinnyNoshared. * Combining the local memory version of tall/skinny and normal tensor contraction into one kernel. * Combining the no-local memory version of tall/skinny and normal tensor contraction into one kernel. * Combining General Tensor-Vector and VectorTensor contraction into one kernel. * Making double buffering optional for Tensor contraction when local memory is version is used. * Modifying benchmark to accept custom Reduction Sizes * Disabling AVX optimization for SYCL backend on the host to allow SSE optimization to the host * Adding Test for SYCL * Modifying SYCL CMake --- unsupported/test/cxx11_tensor_image_op_sycl.cpp | 103 ++++++++++++++++++++++++ 1 file changed, 103 insertions(+) create mode 100644 unsupported/test/cxx11_tensor_image_op_sycl.cpp (limited to 'unsupported/test/cxx11_tensor_image_op_sycl.cpp') diff --git a/unsupported/test/cxx11_tensor_image_op_sycl.cpp b/unsupported/test/cxx11_tensor_image_op_sycl.cpp new file mode 100644 index 000000000..db1c0206e --- /dev/null +++ b/unsupported/test/cxx11_tensor_image_op_sycl.cpp @@ -0,0 +1,103 @@ +// 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: +// Benoit Steiner +// +// 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_DEFAULT_DENSE_INDEX_TYPE int64_t +#define EIGEN_USE_SYCL + +#include "main.h" +#include + +using Eigen::array; +using Eigen::SyclDevice; +using Eigen::Tensor; +using Eigen::TensorMap; + +using Eigen::Tensor; +using Eigen::RowMajor; +template +static void test_image_op_sycl(const Eigen::SyclDevice &sycl_device) +{ + IndexType sizeDim1 = 245; + IndexType sizeDim2 = 343; + IndexType sizeDim3 = 577; + + array input_range ={{sizeDim1, sizeDim2, sizeDim3}}; + array slice_range ={{sizeDim1-1, sizeDim2, sizeDim3}}; + + Tensor tensor1(input_range); + Tensor tensor2(input_range); + Tensor tensor3(slice_range); + Tensor tensor3_cpu(slice_range); + + + + typedef Eigen::DSizes Index3; + Index3 strides1(1L,1L, 1L); + Index3 indicesStart1(1L, 0L, 0L); + Index3 indicesStop1(sizeDim1, sizeDim2, sizeDim3); + + Index3 strides2(1L,1L, 1L); + Index3 indicesStart2(0L, 0L, 0L); + Index3 indicesStop2(sizeDim1-1, sizeDim2, sizeDim3); + Eigen::DSizes sizes(sizeDim1-1,sizeDim2,sizeDim3); + + tensor1.setRandom(); + tensor2.setRandom(); + + + DataType* gpu_data1 = static_cast(sycl_device.allocate(tensor1.size()*sizeof(DataType))); + DataType* gpu_data2 = static_cast(sycl_device.allocate(tensor2.size()*sizeof(DataType))); + DataType* gpu_data3 = static_cast(sycl_device.allocate(tensor3.size()*sizeof(DataType))); + + TensorMap> gpu1(gpu_data1, input_range); + TensorMap> gpu2(gpu_data2, input_range); + TensorMap> gpu3(gpu_data3, slice_range); + + sycl_device.memcpyHostToDevice(gpu_data1, tensor1.data(),(tensor1.size())*sizeof(DataType)); + sycl_device.memcpyHostToDevice(gpu_data2, tensor2.data(),(tensor2.size())*sizeof(DataType)); + gpu3.device(sycl_device)= gpu1.slice(indicesStart1, sizes) - gpu2.slice(indicesStart2, sizes); + sycl_device.memcpyDeviceToHost(tensor3.data(), gpu_data3,(tensor3.size())*sizeof(DataType)); + + tensor3_cpu = tensor1.stridedSlice(indicesStart1,indicesStop1,strides1) - tensor2.stridedSlice(indicesStart2,indicesStop2,strides2); + + + for (IndexType i = 0; i void sycl_computing_test_per_device(dev_Selector s){ + QueueInterface queueInterface(s); + auto sycl_device = Eigen::SyclDevice(&queueInterface); + test_image_op_sycl(sycl_device); +} + +EIGEN_DECLARE_TEST(cxx11_tensor_image_op_sycl) { + for (const auto& device :Eigen::get_sycl_supported_devices()) { + CALL_SUBTEST(sycl_computing_test_per_device(device)); +#ifdef EIGEN_SYCL_DOUBLE_SUPPORT + CALL_SUBTEST(sycl_computing_test_per_device(device)); +#endif + } +} -- cgit v1.2.3