1/* Copyright 2015 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 { 19REGISTER7(BinaryOp, CPU, "Sub", functor::sub, float, Eigen::half, double, int32, 20 int64, complex64, complex128); 21#if !defined(__ANDROID_TYPES_SLIM__) 22// Sub op for int8, uint8, int16, uint16 23REGISTER4(BinaryOp, CPU, "Sub", functor::sub, int8, uint8, int16, uint16); 24#else 25// We only register the first type when we have multi-argument calls in the 26// case where we're trying to reduce executable size, but it turns out that the 27// int32 version of this op is needed, so explicitly include it. 28REGISTER(BinaryOp, CPU, "Sub", functor::sub, int32); 29#endif // __ANDROID_TYPES_SLIM__ 30 31#if GOOGLE_CUDA 32REGISTER6(BinaryOp, GPU, "Sub", functor::sub, float, Eigen::half, double, int64, 33 complex64, complex128); 34 35// A special GPU kernel for int32. 36// TODO(b/25387198): Also enable int32 in device memory. This kernel 37// registration requires all int32 inputs and outputs to be in host memory. 38REGISTER_KERNEL_BUILDER(Name("Sub") 39 .Device(DEVICE_GPU) 40 .HostMemory("x") 41 .HostMemory("y") 42 .HostMemory("z") 43 .TypeConstraint<int32>("T"), 44 BinaryOp<CPUDevice, functor::sub<int32>>); 45#endif 46 47#ifdef TENSORFLOW_USE_SYCL 48REGISTER3(BinaryOp, SYCL, "Sub", functor::sub, float, double, int64); 49REGISTER_KERNEL_BUILDER(Name("Sub") 50 .Device(DEVICE_SYCL) 51 .HostMemory("x") 52 .HostMemory("y") 53 .HostMemory("z") 54 .TypeConstraint<int32>("T"), 55 BinaryOp<CPUDevice, functor::sub<int32>>); 56#endif // TENSORFLOW_USE_SYCL 57} // namespace tensorflow 58