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(BinaryOp, CPU, "Maximum" , functor::maximum, float, Eigen::half, |
20 | bfloat16, double); |
21 | REGISTER8(BinaryOp, CPU, "Maximum" , functor::maximum, int8, uint8, int16, |
22 | uint16, int32, uint32, int64_t, uint64); |
23 | #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
24 | #if !defined(MLIR_GENERATED_GPU_KERNELS_ENABLED) |
25 | REGISTER6(BinaryOp, GPU, "Maximum" , functor::maximum, float, Eigen::half, |
26 | double, uint8, int16, int64); |
27 | #endif |
28 | |
29 | // A special GPU kernel for int32. |
30 | // TODO(b/25387198): Also enable int32 in device memory. This kernel |
31 | // registration requires all int32 inputs and outputs to be in host memory. |
32 | REGISTER_KERNEL_BUILDER(Name("Maximum" ) |
33 | .Device(DEVICE_GPU) |
34 | .HostMemory("x" ) |
35 | .HostMemory("y" ) |
36 | .HostMemory("z" ) |
37 | .TypeConstraint<int32>("T" ), |
38 | BinaryOp<CPUDevice, functor::maximum<int32>>); |
39 | #endif |
40 | REGISTER_KERNEL_BUILDER(Name("Maximum" ) |
41 | .Device(DEVICE_DEFAULT) |
42 | .HostMemory("x" ) |
43 | .HostMemory("y" ) |
44 | .HostMemory("z" ) |
45 | .TypeConstraint<int32>("T" ), |
46 | BinaryOp<CPUDevice, functor::maximum<int32>>); |
47 | |
48 | } // namespace tensorflow |
49 | |