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 20 REGISTER5(BinaryOp, CPU, "Mul", functor::mul, float, Eigen::half, double, uint8, 21 int32); 22 #if defined(__ANDROID_TYPES_SLIM__) 23 // We only register the first type when we have multi-argument calls in the 24 // case where we're trying to reduce executable size, but it turns out that the 25 // int32 version of this op is needed, so explicitly include it. 26 REGISTER(BinaryOp, CPU, "Mul", functor::mul, int32); 27 #endif // __ANDROID_TYPES_SLIM__ 28 29 #if GOOGLE_CUDA 30 REGISTER4(BinaryOp, GPU, "Mul", functor::mul, float, Eigen::half, double, 31 uint8); 32 // A special GPU kernel for int32. 33 // TODO(b/25387198): Also enable int32 in device memory. This kernel 34 // registration requires all int32 inputs and outputs to be in host memory. 35 REGISTER_KERNEL_BUILDER(Name("Mul") 36 .Device(DEVICE_GPU) 37 .HostMemory("x") 38 .HostMemory("y") 39 .HostMemory("z") 40 .TypeConstraint<int32>("T"), 41 BinaryOp<CPUDevice, functor::mul<int32>>); 42 #endif 43 44 #ifdef TENSORFLOW_USE_SYCL 45 REGISTER3(BinaryOp, SYCL, "Mul", functor::mul, float, double, uint8); 46 REGISTER_KERNEL_BUILDER(Name("Mul") 47 .Device(DEVICE_SYCL) 48 .HostMemory("x") 49 .HostMemory("y") 50 .HostMemory("z") 51 .TypeConstraint<int32>("T"), 52 BinaryOp<CPUDevice, functor::mul<int32>>); 53 #endif // TENSORFLOW_USE_SYCL 54 } // namespace tensorflow 55