| /* Copyright 2017 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. |
| ==============================================================================*/ |
| |
| #include "tensorflow/core/kernels/cwise_ops_common.h" |
| |
| namespace tensorflow { |
| REGISTER8(BinaryOp, CPU, "BitwiseOr", functor::bitwise_or, int8, int16, int32, |
| int64, uint8, uint16, uint32, uint64); |
| |
| #if TENSORFLOW_USE_SYCL |
| #define REGISTER_SYCL_KERNEL(TYPE) \ |
| REGISTER_KERNEL_BUILDER( \ |
| Name("BitwiseOr").Device(DEVICE_SYCL).TypeConstraint<TYPE>("T"), \ |
| BinaryOp<SYCLDevice, functor::bitwise_or<TYPE>>); |
| REGISTER_SYCL_KERNEL(int8); |
| REGISTER_SYCL_KERNEL(int16); |
| REGISTER_SYCL_KERNEL(int32); |
| REGISTER_SYCL_KERNEL(int64); |
| REGISTER_SYCL_KERNEL(uint8); |
| REGISTER_SYCL_KERNEL(uint16); |
| REGISTER_SYCL_KERNEL(uint32); |
| REGISTER_SYCL_KERNEL(uint64); |
| #undef REGISTER_SYCL_KERNEL |
| |
| #endif // TENSORFLOW_USE_SYCL |
| |
| #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
| REGISTER8(BinaryOp, GPU, "BitwiseOr", functor::bitwise_or, int8, int16, int32, |
| int64, uint8, uint16, uint32, uint64); |
| #endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
| |
| } // namespace tensorflow |