From 00f32752f7d0b193c6788691c3cf0b76457a044d Mon Sep 17 00:00:00 2001
From: Mehdi Goli <mehdi.goli@codeplay.com>
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_random_sycl.cpp | 100 ++++++++++++++++++++++++++
 1 file changed, 100 insertions(+)
 create mode 100644 unsupported/test/cxx11_tensor_random_sycl.cpp

(limited to 'unsupported/test/cxx11_tensor_random_sycl.cpp')

diff --git a/unsupported/test/cxx11_tensor_random_sycl.cpp b/unsupported/test/cxx11_tensor_random_sycl.cpp
new file mode 100644
index 000000000..6c83894a3
--- /dev/null
+++ b/unsupported/test/cxx11_tensor_random_sycl.cpp
@@ -0,0 +1,100 @@
+// 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>
+//
+// 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 <unsupported/Eigen/CXX11/Tensor>
+
+template <typename DataType, int DataLayout, typename IndexType>
+static void test_sycl_random_uniform(const Eigen::SyclDevice& sycl_device)
+{
+  Tensor<DataType, 2,DataLayout, IndexType> out(72,97);
+  out.setZero();
+
+  std::size_t out_bytes = out.size() * sizeof(DataType);
+
+  IndexType sizeDim0 = 72;
+  IndexType sizeDim1 = 97;
+
+  array<IndexType, 2> tensorRange = {{sizeDim0, sizeDim1}};
+
+  DataType* d_out  = static_cast<DataType*>(sycl_device.allocate(out_bytes));
+  TensorMap<Tensor<DataType, 2, DataLayout, IndexType>> gpu_out(d_out, tensorRange);
+
+  gpu_out.device(sycl_device)=gpu_out.random();
+  sycl_device.memcpyDeviceToHost(out.data(), d_out,out_bytes);
+  for(IndexType i=1; i<sizeDim0; i++)
+    for(IndexType j=1; j<sizeDim1; j++)
+    {
+      VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j));
+      VERIFY_IS_NOT_EQUAL(out(i,j), out(i,j-1));
+      VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j-1));    }
+
+  // For now we just check thes code doesn't crash.
+  // TODO: come up with a valid test of randomness
+  sycl_device.deallocate(d_out);
+}
+
+template <typename DataType, int DataLayout, typename IndexType>
+void test_sycl_random_normal(const Eigen::SyclDevice& sycl_device)
+{
+  Tensor<DataType, 2,DataLayout,IndexType> out(72,97);
+  out.setZero();
+  std::size_t out_bytes = out.size() * sizeof(DataType);
+
+  IndexType sizeDim0 = 72;
+  IndexType sizeDim1 = 97;
+
+  array<IndexType, 2> tensorRange = {{sizeDim0, sizeDim1}};
+
+  DataType* d_out  = static_cast<DataType*>(sycl_device.allocate(out_bytes));
+  TensorMap<Tensor<DataType, 2, DataLayout, IndexType>> gpu_out(d_out, tensorRange);
+  Eigen::internal::NormalRandomGenerator<DataType> gen(true);
+  gpu_out.device(sycl_device)=gpu_out.random(gen);
+  sycl_device.memcpyDeviceToHost(out.data(), d_out,out_bytes);
+  for(IndexType i=1; i<sizeDim0; i++)
+    for(IndexType j=1; j<sizeDim1; j++)
+    {
+      VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j));
+      VERIFY_IS_NOT_EQUAL(out(i,j), out(i,j-1));
+      VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j-1));
+
+    }
+
+  // For now we just check thes code doesn't crash.
+  // TODO: come up with a valid test of randomness
+  sycl_device.deallocate(d_out);
+}
+
+template<typename DataType, typename dev_Selector> void sycl_random_test_per_device(dev_Selector s){
+  QueueInterface queueInterface(s);
+  auto sycl_device = Eigen::SyclDevice(&queueInterface);
+  test_sycl_random_uniform<DataType, RowMajor, int64_t>(sycl_device);
+  test_sycl_random_uniform<DataType, ColMajor, int64_t>(sycl_device);
+  test_sycl_random_normal<DataType, RowMajor, int64_t>(sycl_device);
+  test_sycl_random_normal<DataType, ColMajor, int64_t>(sycl_device);
+
+}
+EIGEN_DECLARE_TEST(cxx11_tensor_random_sycl)
+{
+  for (const auto& device :Eigen::get_sycl_supported_devices()) {
+    CALL_SUBTEST(sycl_random_test_per_device<float>(device));
+#ifdef EIGEN_SYCL_DOUBLE_SUPPORT
+    CALL_SUBTEST(sycl_random_test_per_device<double>(device));
+#endif
+  }
+}
-- 
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