From f8ca893976316df46791d2f088552fb2aea419bb Mon Sep 17 00:00:00 2001
From: Mehdi Goli <mehdi.goli@codeplay.com>
Date: Mon, 14 Nov 2016 17:51:57 +0000
Subject: Adding TensorFixsize; adding sycl device memcpy; adding insial stage
 of slicing.

---
 unsupported/test/cxx11_tensor_morphing_sycl.cpp | 84 +++++++++++++++++++++++++
 1 file changed, 84 insertions(+)
 create mode 100644 unsupported/test/cxx11_tensor_morphing_sycl.cpp

(limited to 'unsupported/test/cxx11_tensor_morphing_sycl.cpp')

diff --git a/unsupported/test/cxx11_tensor_morphing_sycl.cpp b/unsupported/test/cxx11_tensor_morphing_sycl.cpp
new file mode 100644
index 000000000..8a03b826e
--- /dev/null
+++ b/unsupported/test/cxx11_tensor_morphing_sycl.cpp
@@ -0,0 +1,84 @@
+// 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_morphing_sycl
+#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
+#define EIGEN_USE_SYCL
+
+
+#include "main.h"
+#include <unsupported/Eigen/CXX11/Tensor>
+
+using Eigen::array;
+using Eigen::SyclDevice;
+using Eigen::Tensor;
+using Eigen::TensorMap;
+
+
+static void test_simple_slice(const Eigen::SyclDevice &sycl_device)
+{
+  int sizeDim1 = 2;
+  int sizeDim2 = 3;
+  int sizeDim3 = 5;
+  int sizeDim4 = 7;
+  int sizeDim5 = 11;
+  array<int, 5> tensorRange = {{sizeDim1, sizeDim2, sizeDim3, sizeDim4, sizeDim5}};
+  Tensor<float, 5> tensor(tensorRange);
+  tensor.setRandom();
+  array<int, 5> slice1_range ={{1, 1, 1, 1, 1}};
+  Tensor<float, 5> slice1(slice1_range);
+
+  float* gpu_data1  = static_cast<float*>(sycl_device.allocate(tensor.size()*sizeof(float)));
+  float* gpu_data2  = static_cast<float*>(sycl_device.allocate(slice1.size()*sizeof(float)));
+  TensorMap<Tensor<float, 5>> gpu1(gpu_data1, tensorRange);
+  TensorMap<Tensor<float, 5>> gpu2(gpu_data2, slice1_range);
+  Eigen::DSizes<ptrdiff_t, 5> indices(1,2,3,4,5);
+  Eigen::DSizes<ptrdiff_t, 5> sizes(1,1,1,1,1);
+  sycl_device.memcpyHostToDevice(gpu_data1, tensor.data(),(tensor.size())*sizeof(float));
+  gpu2.device(sycl_device)=gpu1.slice(indices, sizes);
+  sycl_device.memcpyDeviceToHost(slice1.data(), gpu_data2,(slice1.size())*sizeof(float));
+  VERIFY_IS_EQUAL(slice1(0,0,0,0,0), tensor(1,2,3,4,5));
+
+
+  array<int, 5> slice2_range ={{1,1,2,2,3}};
+  Tensor<float, 5> slice2(slice2_range);
+  float* gpu_data3  = static_cast<float*>(sycl_device.allocate(slice2.size()*sizeof(float)));
+  TensorMap<Tensor<float, 5>> gpu3(gpu_data3, slice2_range);
+  Eigen::DSizes<ptrdiff_t, 5> indices2(1,1,3,4,5);
+  Eigen::DSizes<ptrdiff_t, 5> sizes2(1,1,2,2,3);
+  gpu3.device(sycl_device)=gpu1.slice(indices2, sizes2);
+  sycl_device.memcpyDeviceToHost(slice2.data(), gpu_data3,(slice2.size())*sizeof(float));
+  for (int i = 0; i < 2; ++i) {
+    for (int j = 0; j < 2; ++j) {
+      for (int k = 0; k < 3; ++k) {
+        VERIFY_IS_EQUAL(slice2(0,0,i,j,k), tensor(1,1,3+i,4+j,5+k));
+      }
+    }
+  }
+  sycl_device.deallocate(gpu_data1);
+  sycl_device.deallocate(gpu_data2);
+  sycl_device.deallocate(gpu_data3);
+}
+
+void test_cxx11_tensor_morphing_sycl()
+{
+  /// Currentlly it only works on cpu. Adding GPU cause LLVM ERROR in cunstructing OpenCL Kernel at runtime.
+  cl::sycl::cpu_selector s;
+  Eigen::SyclDevice sycl_device(s);
+  CALL_SUBTEST(test_simple_slice(sycl_device));
+
+}
-- 
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