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 #if !GOOGLE_CUDA 17 #error This file must only be included when building with Cuda support 18 #endif 19 20 #ifndef TENSORFLOW_CORE_KERNELS_POOLING_OPS_COMMON_GPU_H_ 21 #define TENSORFLOW_CORE_KERNELS_POOLING_OPS_COMMON_GPU_H_ 22 23 #include <vector> 24 #include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor" 25 #include "tensorflow/core/framework/numeric_op.h" 26 #include "tensorflow/core/framework/op_kernel.h" 27 #include "tensorflow/core/framework/tensor_shape.h" 28 #include "tensorflow/core/kernels/avgpooling_op.h" 29 #include "tensorflow/core/kernels/maxpooling_op.h" 30 #include "tensorflow/core/kernels/ops_util.h" 31 #include "tensorflow/core/platform/stream_executor.h" 32 #include "tensorflow/core/util/padding.h" 33 #include "tensorflow/core/util/tensor_format.h" 34 35 namespace tensorflow { 36 37 // A helper class that launch the cudnn pooling forward operations. 38 template <typename T> 39 class DnnPoolingOp { 40 public: 41 typedef GPUDevice Device; 42 static void Compute(OpKernelContext* context, 43 se::dnn::PoolingMode pooling_mode, 44 const std::vector<int32>& size, 45 const std::vector<int32>& stride, Padding padding, 46 TensorFormat data_format, const Tensor& tensor_in, 47 const TensorShape& tensor_out_shape, bool propagate_nans); 48 }; 49 50 // A helper class that launch the cudnn pooling backward operations. 51 // The original input and output tensors are optional for AvgPoolGrad, but 52 // mandatory for MaxPoolGrad. 53 template <typename T> 54 class DnnPoolingGradOp { 55 public: 56 typedef GPUDevice Device; 57 static void Compute(OpKernelContext* context, 58 se::dnn::PoolingMode pooling_mode, 59 const std::vector<int32>& size, 60 const std::vector<int32>& stride, Padding padding, 61 TensorFormat data_format, const Tensor* tensor_in, 62 const Tensor* tensor_out, const Tensor& out_backprop, 63 const TensorShape& tensor_in_shape, bool propagate_nans); 64 }; 65 66 } // namespace tensorflow 67 68 #endif // TENSORFLOW_CORE_KERNELS_POOLING_OPS_COMMON_GPU_H_ 69