| /** | 
 |  * Copyright (c) 2016-present, Facebook, Inc. | 
 |  * | 
 |  * 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 "caffe2/core/context_gpu.h" | 
 | #include "caffe2/operators/math_ops.h" | 
 |  | 
 | namespace caffe2 { | 
 |  | 
 | struct LogCUDAFunctor { | 
 |   template <typename T> | 
 |   inline void | 
 |   operator()(const int n, const T* x, T* y, CUDAContext* device_context) { | 
 |     math::Log<T, CUDAContext>(n, x, y, device_context); | 
 |   } | 
 | }; | 
 |  | 
 | REGISTER_CUDA_OPERATOR( | 
 |     Log, | 
 |     UnaryElementwiseOp<TensorTypes<float>, CUDAContext, LogCUDAFunctor>); | 
 | } |