1/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3Licensed under the Apache License, Version 2.0 (the "License"); 4you may not use this file except in compliance with the License. 5You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9Unless required by applicable law or agreed to in writing, software 10distributed under the License is distributed on an "AS IS" BASIS, 11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12See the License for the specific language governing permissions and 13limitations under the License. 14==============================================================================*/ 15 16#include "tensorflow/core/kernels/cwise_ops_common.h" 17 18namespace tensorflow { 19REGISTER8(BinaryOp, CPU, "BitwiseAnd", functor::bitwise_and, int8, int16, int32, 20 int64, uint8, uint16, uint32, uint64); 21 22#if TENSORFLOW_USE_SYCL 23#define REGISTER_SYCL_KERNEL(TYPE) \ 24 REGISTER_KERNEL_BUILDER( \ 25 Name("BitwiseAnd").Device(DEVICE_SYCL).TypeConstraint<TYPE>("T"), \ 26 BinaryOp<SYCLDevice, functor::bitwise_and<TYPE>>); 27REGISTER_SYCL_KERNEL(int8); 28REGISTER_SYCL_KERNEL(int16); 29REGISTER_SYCL_KERNEL(int32); 30REGISTER_SYCL_KERNEL(int64); 31REGISTER_SYCL_KERNEL(uint8); 32REGISTER_SYCL_KERNEL(uint16); 33REGISTER_SYCL_KERNEL(uint32); 34REGISTER_SYCL_KERNEL(uint64); 35#undef REGISTER_SYCL_KERNEL 36 37#endif // TENSORFLOW_USE_SYCL 38 39#if GOOGLE_CUDA 40REGISTER8(BinaryOp, GPU, "BitwiseAnd", functor::bitwise_and, int8, int16, int32, 41 int64, uint8, uint16, uint32, uint64); 42#endif // GOOGLE_CUDA 43 44} // namespace tensorflow 45