Added a way to detect errors generated by the opencl device from the host

2 files changed, 15 insertions, 9 deletions

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h b/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
index 67cf66e5f..fe8452d79 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorDeviceSycl.h
@@ -12,13 +12,16 @@
 // 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/.
 
+#include <iostream>
+
 #if defined(EIGEN_USE_SYCL) && !defined(EIGEN_CXX11_TENSOR_TENSOR_DEVICE_SYCL_H)
 #define EIGEN_CXX11_TENSOR_TENSOR_DEVICE_SYCL_H
 
 namespace Eigen {
 struct SyclDevice {
   /// class members:
-
+  bool exception_caught_ = false;
+ 
   /// sycl queue
   mutable cl::sycl::queue m_queue;
 
@@ -34,6 +37,7 @@ struct SyclDevice {
     for (const auto& e : l) {
       try {
         if (e) {
+          exception_caught_ = true;
           std::rethrow_exception(e);
         }
       } catch (const cl::sycl::exception& e) {
@@ -231,6 +235,12 @@ struct SyclDevice {
   EIGEN_STRONG_INLINE void synchronize() const {
     m_queue.wait_and_throw();
   }
+
+  // This function checks if the runtime recorded an error for the                                 
+  // underlying stream device.                                                                         
+  EIGEN_STRONG_INLINE bool ok() const {
+    return !exception_caught_;
+  }
 };
 
 }  // end namespace Eigen
diff --git a/unsupported/test/cxx11_tensor_device_sycl.cpp b/unsupported/test/cxx11_tensor_device_sycl.cpp
index f92e38ed5..8289959eb 100644
--- a/unsupported/test/cxx11_tensor_device_sycl.cpp
+++ b/unsupported/test/cxx11_tensor_device_sycl.cpp
@@ -42,17 +42,13 @@ void test_device_memory(const Eigen::SyclDevice &sycl_device) {
 
 
 void test_device_exceptions(const Eigen::SyclDevice &sycl_device) {
-  bool threw_exception = false;
+  VERIFY(sycl_device.ok());
   array<int, 1> tensorDims = {{100}};
   int* gpu_data = static_cast<int*>(sycl_device.allocate(100*sizeof(int)));
   TensorMap<Tensor<int, 1>> in(gpu_data, tensorDims);
   TensorMap<Tensor<int, 1>> out(gpu_data, tensorDims);
-  try {
-    out.device(sycl_device) = in / in.constant(0);
-  } catch(...) {
-    threw_exception = true;
-  }
-  VERIFY(threw_exception);
+  out.device(sycl_device) = in / in.constant(0);
+  VERIFY(!sycl_device.ok());
   sycl_device.deallocate(gpu_data);
 }
 
@@ -62,5 +58,5 @@ void test_cxx11_tensor_device_sycl() {
   Eigen::SyclDevice sycl_device(s);
   CALL_SUBTEST(test_device_memory(sycl_device));
   // This deadlocks
-  //  CALL_SUBTEST(test_device_exceptions(sycl_device));
+  //CALL_SUBTEST(test_device_exceptions(sycl_device));
 }