1 | /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
2 | |
3 | Licensed under the Apache License, Version 2.0 (the "License"); |
4 | you may not use this file except in compliance with the License. |
5 | You may obtain a copy of the License at |
6 | |
7 | http://www.apache.org/licenses/LICENSE-2.0 |
8 | |
9 | Unless required by applicable law or agreed to in writing, software |
10 | distributed under the License is distributed on an "AS IS" BASIS, |
11 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | See the License for the specific language governing permissions and |
13 | limitations under the License. |
14 | ==============================================================================*/ |
15 | |
16 | #include "tensorflow/core/kernels/cwise_ops_common.h" |
17 | |
18 | namespace tensorflow { |
19 | REGISTER4(UnaryOp, CPU, "Neg" , functor::neg, int8, int16, int32, int64_t); |
20 | |
21 | #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
22 | #if !defined(MLIR_GENERATED_GPU_KERNELS_ENABLED) |
23 | REGISTER3(UnaryOp, GPU, "Neg" , functor::neg, int8, int16, int64); |
24 | #endif |
25 | |
26 | // A special GPU kernel for int32. |
27 | // TODO(b/25387198): Also enable int32 in device memory. This kernel |
28 | // registration requires all int32 inputs and outputs to be in host memory. |
29 | REGISTER_KERNEL_BUILDER(Name("Neg" ) |
30 | .Device(DEVICE_GPU) |
31 | .HostMemory("x" ) |
32 | .HostMemory("y" ) |
33 | .TypeConstraint<int32>("T" ), |
34 | UnaryOp<CPUDevice, functor::neg<int32>>); |
35 | #endif |
36 | REGISTER_KERNEL_BUILDER(Name("Neg" ) |
37 | .Device(DEVICE_DEFAULT) |
38 | .HostMemory("x" ) |
39 | .HostMemory("y" ) |
40 | .TypeConstraint<int32>("T" ), |
41 | UnaryOp<CPUDevice, functor::neg<int32>>); |
42 | } // namespace tensorflow |
43 | |