1 /* Copyright 2016 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 REGISTER5(BinaryOp, CPU, "SquaredDifference", functor::squared_difference, 20 float, Eigen::half, double, int32, int64); 21 #if GOOGLE_CUDA 22 REGISTER4(BinaryOp, GPU, "SquaredDifference", functor::squared_difference, 23 float, Eigen::half, double, 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( 30 Name("SquaredDifference") 31 .Device(DEVICE_GPU) 32 .HostMemory("x") 33 .HostMemory("y") 34 .HostMemory("z") 35 .TypeConstraint<int32>("T"), 36 BinaryOp<CPUDevice, functor::squared_difference<int32>>); 37 38 #ifdef TENSORFLOW_USE_SYCL 39 REGISTER3(BinaryOp, SYCL, "SquaredDifference", functor::squared_difference, 40 float, double, int64); 41 REGISTER_KERNEL_BUILDER( 42 Name("SquaredDifference") 43 .Device(DEVICE_SYCL) 44 .HostMemory("x") 45 .HostMemory("y") 46 .HostMemory("z") 47 .TypeConstraint<int32>("T"), 48 BinaryOp<CPUDevice, functor::squared_difference<int32>>); 49 #endif // TENSORFLOW_USE_SYCL 50 51 } // namespace tensorflow 52
