1 files changed, 0 insertions, 70 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorSyclRun.h b/unsupported/Eigen/CXX11/src/Tensor/TensorSyclRun.h
deleted file mode 100644
index 7914b6fad..000000000
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorSyclRun.h
+++ /dev/null
@@ -1,70 +0,0 @@
-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra.
-//
-// Mehdi Goli    Codeplay Software Ltd.
-// Ralph Potter  Codeplay Software Ltd.
-// Luke Iwanski  Codeplay Software Ltd.
-// Cummins Chris PhD student at The University of Edinburgh.
-// 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/.
-
-/*****************************************************************
- * TensorSyclRun.h
- *
- * \brief:
- * Schedule_kernel invoke an specialised version of kernel struct. The
- * specialisation is based on the data dimension in sycl buffer
- *
-*****************************************************************/
-
-#ifndef UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_SYCLRUN_HPP
-#define UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_SYCLRUN_HPP
-
-namespace Eigen {
-namespace TensorSycl {
-/// The run function in tensor sycl convert the expression tree to a buffer
-/// based expression tree;
-/// creates the expression tree for the device with accessor to buffers;
-/// construct the kernel and submit it to the sycl queue.
-template <typename Expr, typename Dev>
-void run(Expr &expr, Dev &dev) {
-  Eigen::TensorEvaluator<Expr, Dev> evaluator(expr, dev);
-  const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
-  if (needs_assign) {
-    typedef  typename internal::createPlaceHolderExpression<Expr>::Type PlaceHolderExpr;
-    auto functors = internal::extractFunctors(evaluator);
-
-    size_t tileSize =dev.m_queue.get_device(). template get_info<cl::sycl::info::device::max_work_group_size>()/2;
-    dev.m_queue.submit([&](cl::sycl::handler &cgh) {
-
-      // create a tuple of accessors from Evaluator
-      auto tuple_of_accessors = internal::createTupleOfAccessors<decltype(evaluator)>(cgh, evaluator);
-      const auto range = utility::tuple::get<0>(tuple_of_accessors).get_range()[0];
-      size_t GRange=range;
-      if (tileSize>GRange) tileSize=GRange;
-      else if(GRange>tileSize){
-        size_t xMode = GRange % tileSize;
-        if (xMode != 0) GRange += (tileSize - xMode);
-      }
-      // run the kernel
-      cgh.parallel_for<PlaceHolderExpr>( cl::sycl::nd_range<1>(cl::sycl::range<1>(GRange), cl::sycl::range<1>(tileSize)), [=](cl::sycl::nd_item<1> itemID) {
-        typedef  typename internal::ConvertToDeviceExpression<Expr>::Type DevExpr;
-        auto device_expr =internal::createDeviceExpression<DevExpr, PlaceHolderExpr>(functors, tuple_of_accessors);
-        auto device_evaluator = Eigen::TensorEvaluator<decltype(device_expr.expr), Eigen::DefaultDevice>(device_expr.expr, Eigen::DefaultDevice());
-        if (itemID.get_global_linear_id() < range) {
-          device_evaluator.evalScalar(static_cast<int>(itemID.get_global_linear_id()));
-        }
-      });
-    });
-    dev.m_queue.throw_asynchronous();
-  }
-
-  evaluator.cleanup();
-}
-}  // namespace TensorSycl
-}  // namespace Eigen
-
-#endif  // UNSUPPORTED_EIGEN_CXX11_SRC_TENSOR_TENSORSYCL_SYCLRUN_HPP