| /* Copyright 2016 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_CORE_KERNELS_SLICE_OP_CPU_IMPL_H_ |
| #define TENSORFLOW_CORE_KERNELS_SLICE_OP_CPU_IMPL_H_ |
| |
| #define EIGEN_USE_THREADS |
| |
| #include "tensorflow/core/framework/bfloat16.h" |
| #include "tensorflow/core/framework/register_types.h" |
| #include "tensorflow/core/kernels/slice_op.h" |
| |
| namespace tensorflow { |
| |
| using CpuDevice = Eigen::ThreadPoolDevice; |
| |
| #define DEFINE_CPU_KERNELS(T) \ |
| template struct functor::Slice<CpuDevice, T, CPU_PROVIDED_IXDIM>; |
| |
| TF_CALL_ALL_TYPES(DEFINE_CPU_KERNELS); |
| |
| #undef DEFINE_CPU_KERNELS |
| |
| #ifdef TENSORFLOW_USE_SYCL |
| using SyclDevice = Eigen::SyclDevice; |
| |
| #define DEFINE_SYCL_KERNELS(T) \ |
| template struct functor::Slice<SyclDevice, T, CPU_PROVIDED_IXDIM>; |
| |
| TF_CALL_GPU_NUMBER_TYPES(DEFINE_SYCL_KERNELS); |
| DEFINE_SYCL_KERNELS(int32); |
| |
| #undef DEFINE_SYCL_KERNELS |
| #endif // TENSORFLOW_USE_SYCL |
| |
| } // namespace tensorflow |
| |
| #endif // TENSORFLOW_CORE_KERNELS_SLICE_OP_CPU_IMPL_H_ |