[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

1 files changed, 3 insertions, 2 deletions

diff --git a/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp b/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp
index 74d38a644..a55a5ad8a 100644
--- a/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp
+++ b/unsupported/test/cxx11_tensor_forced_eval_sycl.cpp
@@ -36,8 +36,8 @@ void test_forced_eval_sycl(const Eigen::SyclDevice &sycl_device) {
   DataType * gpu_in2_data  = static_cast<DataType*>(sycl_device.allocate(in2.dimensions().TotalSize()*sizeof(DataType)));
   DataType * gpu_out_data =  static_cast<DataType*>(sycl_device.allocate(out.dimensions().TotalSize()*sizeof(DataType)));
 
-  in1 = in1.random() + in1.constant(10.0f);
-  in2 = in2.random() + in2.constant(10.0f);
+  in1 = in1.random() + in1.constant(static_cast<DataType>(10.0f));
+  in2 = in2.random() + in2.constant(static_cast<DataType>(10.0f));
 
   // creating TensorMap from tensor
   Eigen::TensorMap<Eigen::Tensor<DataType, 3, DataLayout, IndexType>> gpu_in1(gpu_in1_data, tensorRange);
@@ -72,5 +72,6 @@ template <typename DataType, typename Dev_selector> void tensorForced_evalperDev
 EIGEN_DECLARE_TEST(cxx11_tensor_forced_eval_sycl) {
   for (const auto& device :Eigen::get_sycl_supported_devices()) {
     CALL_SUBTEST(tensorForced_evalperDevice<float>(device));
+    CALL_SUBTEST(tensorForced_evalperDevice<half>(device));
   }
 }