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/framework/variant_op_registry.h" |
17 | #include "tensorflow/core/kernels/cwise_ops_common.h" |
18 | |
19 | namespace tensorflow { |
20 | |
21 | REGISTER2(UnaryOp, CPU, "Conj" , functor::conj, complex64, complex128); |
22 | |
23 | REGISTER_VARIANT(UnaryVariantOp, CPU, "Conj" , CONJ_VARIANT_UNARY_OP); |
24 | |
25 | #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
26 | REGISTER_KERNEL_BUILDER( |
27 | Name("Conj" ).Device(DEVICE_GPU).TypeConstraint<Variant>("T" ), |
28 | UnaryVariantOp<GPUDevice, CONJ_VARIANT_UNARY_OP>); |
29 | #if !defined(MLIR_GENERATED_GPU_KERNELS_ENABLED) |
30 | REGISTER_KERNEL_BUILDER( |
31 | Name("Conj" ).Device(DEVICE_GPU).TypeConstraint<complex64>("T" ), |
32 | UnaryOp<GPUDevice, functor::conj<complex64>>); |
33 | REGISTER_KERNEL_BUILDER( |
34 | Name("Conj" ).Device(DEVICE_GPU).TypeConstraint<complex128>("T" ), |
35 | UnaryOp<GPUDevice, functor::conj<complex128>>); |
36 | #endif |
37 | #endif |
38 | } // namespace tensorflow |
39 | |