update eigen

1 files changed, 7 insertions, 53 deletions

diff --git a/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp b/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp
index 3ecc68d..7f79753 100644
--- a/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp
+++ b/eigen/unsupported/test/cxx11_tensor_device_sycl.cpp
@@ -14,64 +14,18 @@
 #define EIGEN_TEST_NO_LONGDOUBLE
 #define EIGEN_TEST_NO_COMPLEX
 #define EIGEN_TEST_FUNC cxx11_tensor_device_sycl
-#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int64_t
+#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
 #define EIGEN_USE_SYCL
 
 #include "main.h"
 #include <unsupported/Eigen/CXX11/Tensor>
-#include <stdint.h>
-#include <iostream>
 
-template <typename DataType, int DataLayout, typename IndexType>
-void test_device_memory(const Eigen::SyclDevice &sycl_device) {
-  std::cout << "Running on : "
-            << sycl_device.sycl_queue().get_device(). template get_info<cl::sycl::info::device::name>()
-            <<std::endl;
-  IndexType sizeDim1 = 100;
-  array<IndexType, 1> tensorRange = {{sizeDim1}};
-  Tensor<DataType, 1, DataLayout,IndexType> in(tensorRange);
-  Tensor<DataType, 1, DataLayout,IndexType> in1(tensorRange);
-  memset(in1.data(), 1, in1.size() * sizeof(DataType));
-  DataType* gpu_in_data  = static_cast<DataType*>(sycl_device.allocate(in.size()*sizeof(DataType)));
-  sycl_device.memset(gpu_in_data, 1, in.size()*sizeof(DataType));
-  sycl_device.memcpyDeviceToHost(in.data(), gpu_in_data, in.size()*sizeof(DataType));
-  for (IndexType i=0; i<in.size(); i++) {
-    VERIFY_IS_EQUAL(in(i), in1(i));
-  }
-  sycl_device.deallocate(gpu_in_data);
+void test_device_sycl(const Eigen::SyclDevice &sycl_device) {
+  std::cout <<"Helo from ComputeCpp: the requested device exists and the device name is : "
+    << sycl_device.m_queue.get_device(). template get_info<cl::sycl::info::device::name>() <<std::endl;;
 }
-
-template <typename DataType, int DataLayout, typename IndexType>
-void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
-  VERIFY(sycl_device.ok());
-  IndexType sizeDim1 = 100;
-  array<IndexType, 1> tensorDims = {{sizeDim1}};
-  DataType* gpu_data = static_cast<DataType*>(sycl_device.allocate(sizeDim1*sizeof(DataType)));
-  sycl_device.memset(gpu_data, 1, sizeDim1*sizeof(DataType));
-
-  TensorMap<Tensor<DataType, 1, DataLayout,IndexType>> in(gpu_data, tensorDims);
-  TensorMap<Tensor<DataType, 1, DataLayout,IndexType>> out(gpu_data, tensorDims);
-  out.device(sycl_device) = in / in.constant(0);
-
-  sycl_device.synchronize();
-  VERIFY(!sycl_device.ok());
-  sycl_device.deallocate(gpu_data);
-}
-
-template<typename DataType> void sycl_device_test_per_device(const cl::sycl::device& d){
-  std::cout << "Running on " << d.template get_info<cl::sycl::info::device::name>() << std::endl;
-  QueueInterface queueInterface(d);
-  auto sycl_device = Eigen::SyclDevice(&queueInterface);
-  test_device_memory<DataType, RowMajor, int64_t>(sycl_device);
-  test_device_memory<DataType, ColMajor, int64_t>(sycl_device);
-  /// this test throw an exception. enable it if you want to see the exception
-  //test_device_exceptions<DataType, RowMajor>(sycl_device);
-  /// this test throw an exception. enable it if you want to see the exception
-  //test_device_exceptions<DataType, ColMajor>(sycl_device);
-}
-
 void test_cxx11_tensor_device_sycl() {
-  for (const auto& device :Eigen::get_sycl_supported_devices()) {
-    CALL_SUBTEST(sycl_device_test_per_device<float>(device));
-  }
+  cl::sycl::gpu_selector s;
+  Eigen::SyclDevice sycl_device(s);
+  CALL_SUBTEST(test_device_sycl(sycl_device));
 }