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