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 | REGISTER7(BinaryOp, CPU, "Equal" , functor::equal_to, float, Eigen::half, double, |
20 | uint8, int8, int16, bfloat16); |
21 | REGISTER7(BinaryOp, CPU, "Equal" , functor::equal_to, uint16, uint32, uint64, |
22 | qint8, qint16, quint8, quint16); |
23 | REGISTER_KERNEL_BUILDER( |
24 | Name("ApproximateEqual" ).Device(DEVICE_CPU).TypeConstraint<float>("T" ), |
25 | ApproximateEqualOp<CPUDevice, float>); |
26 | REGISTER_KERNEL_BUILDER( |
27 | Name("ApproximateEqual" ).Device(DEVICE_CPU).TypeConstraint<double>("T" ), |
28 | ApproximateEqualOp<CPUDevice, double>); |
29 | |
30 | REGISTER_KERNEL_BUILDER(Name("Equal" ) |
31 | .Device(DEVICE_DEFAULT) |
32 | .HostMemory("x" ) |
33 | .HostMemory("y" ) |
34 | .HostMemory("z" ) |
35 | .TypeConstraint<int32>("T" ), |
36 | BinaryOp<CPUDevice, functor::equal_to<int32>>); |
37 | |
38 | #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
39 | #if !defined(MLIR_GENERATED_GPU_KERNELS_ENABLED) |
40 | REGISTER4(BinaryOp, GPU, "Equal" , functor::equal_to, float, Eigen::half, double, |
41 | uint8); |
42 | #endif |
43 | REGISTER_KERNEL_BUILDER( |
44 | Name("ApproximateEqual" ).Device(DEVICE_GPU).TypeConstraint<float>("T" ), |
45 | ApproximateEqualOp<GPUDevice, float>); |
46 | REGISTER_KERNEL_BUILDER( |
47 | Name("ApproximateEqual" ).Device(DEVICE_GPU).TypeConstraint<double>("T" ), |
48 | ApproximateEqualOp<GPUDevice, double>); |
49 | |
50 | // A special GPU kernel for int32. |
51 | // TODO(b/25387198): Also enable int32 in device memory. This kernel |
52 | // registration requires all int32 inputs and outputs to be in host memory. |
53 | REGISTER_KERNEL_BUILDER(Name("Equal" ) |
54 | .Device(DEVICE_GPU) |
55 | .HostMemory("x" ) |
56 | .HostMemory("y" ) |
57 | .HostMemory("z" ) |
58 | .TypeConstraint<int32>("T" ), |
59 | BinaryOp<CPUDevice, functor::equal_to<int32>>); |
60 | #endif |
61 | |
62 | } // namespace tensorflow |
63 | |