| /* Copyright 2015 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include "tensorflow/core/kernels/cwise_ops_common.h" |
| |
| namespace tensorflow { |
| REGISTER8(UnaryOp, CPU, "Square", functor::square, float, Eigen::half, double, |
| int32, int64, complex64, complex128, bfloat16); |
| |
| #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM |
| REGISTER4(UnaryOp, GPU, "Square", functor::square, float, Eigen::half, double, |
| int64); |
| |
| // A special GPU kernel for int32. |
| // TODO(b/25387198): Also enable int32 in device memory. This kernel |
| // registration requires all int32 inputs and outputs to be in host memory. |
| REGISTER_KERNEL_BUILDER(Name("Square") |
| .Device(DEVICE_GPU) |
| .HostMemory("x") |
| .HostMemory("y") |
| .TypeConstraint<int32>("T"), |
| UnaryOp<CPUDevice, functor::square<int32>>); |
| #endif |
| |
| #ifdef TENSORFLOW_USE_SYCL |
| REGISTER3(UnaryOp, SYCL, "Square", functor::square, float, double, int64); |
| REGISTER_KERNEL_BUILDER(Name("Square") |
| .Device(DEVICE_SYCL) |
| .HostMemory("x") |
| .HostMemory("y") |
| .TypeConstraint<int32>("T"), |
| UnaryOp<CPUDevice, functor::square<int32>>); |
| #endif // TENSORFLOW_USE_SYC |
| } // namespace tensorflow |