1 files changed, 0 insertions, 74 deletions
diff --git a/eigen/unsupported/test/cxx11_tensor_broadcast_sycl.cpp b/eigen/unsupported/test/cxx11_tensor_broadcast_sycl.cpp
deleted file mode 100644
index 7201bfe..0000000
--- a/eigen/unsupported/test/cxx11_tensor_broadcast_sycl.cpp
+++ /dev/null
@@ -1,74 +0,0 @@
-// 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>
-//
-// 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_broadcast_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_broadcast_sycl(const Eigen::SyclDevice &sycl_device){
-
-  // BROADCAST test:
-  array<int, 4> in_range   = {{2, 3, 5, 7}};
-  array<int, 4> broadcasts = {{2, 3, 1, 4}};
-  array<int, 4> out_range;  // = in_range * broadcasts
-  for (size_t i = 0; i < out_range.size(); ++i)
-    out_range[i] = in_range[i] * broadcasts[i];
-
-  Tensor<float, 4>  input(in_range);
-  Tensor<float, 4> out(out_range);
-
-  for (size_t i = 0; i < in_range.size(); ++i)
-    VERIFY_IS_EQUAL(out.dimension(i), out_range[i]);
-
-
-  for (int i = 0; i < input.size(); ++i)
-    input(i) = static_cast<float>(i);
-
-  float * gpu_in_data  = static_cast<float*>(sycl_device.allocate(input.dimensions().TotalSize()*sizeof(float)));
-  float * gpu_out_data  = static_cast<float*>(sycl_device.allocate(out.dimensions().TotalSize()*sizeof(float)));
-
-  TensorMap<Tensor<float, 4>>  gpu_in(gpu_in_data, in_range);
-  TensorMap<Tensor<float, 4>> gpu_out(gpu_out_data, out_range);
-  sycl_device.memcpyHostToDevice(gpu_in_data, input.data(),(input.dimensions().TotalSize())*sizeof(float));
-  gpu_out.device(sycl_device) = gpu_in.broadcast(broadcasts);
-  sycl_device.memcpyDeviceToHost(out.data(), gpu_out_data,(out.dimensions().TotalSize())*sizeof(float));
-
-  for (int i = 0; i < 4; ++i) {
-    for (int j = 0; j < 9; ++j) {
-      for (int k = 0; k < 5; ++k) {
-        for (int l = 0; l < 28; ++l) {
-          VERIFY_IS_APPROX(input(i%2,j%3,k%5,l%7), out(i,j,k,l));
-        }
-      }
-    }
-  }
-  printf("Broadcast Test Passed\n");
-  sycl_device.deallocate(gpu_in_data);
-  sycl_device.deallocate(gpu_out_data);
-}
-
-void test_cxx11_tensor_broadcast_sycl() {
-  cl::sycl::gpu_selector s;
-  Eigen::SyclDevice sycl_device(s);
-  CALL_SUBTEST(test_broadcast_sycl(sycl_device));
-}