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+/* 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.
+==============================================================================*/
+
+#if !GOOGLE_CUDA
+#error This file must only be included when building with Cuda support
+#endif
+
+#ifndef TENSORFLOW_CORE_KERNELS_POOLING_OP_3D_GPU_H_
+#define TENSORFLOW_CORE_KERNELS_POOLING_OP_3D_GPU_H_
+
+#define EIGEN_USE_GPU
+
+#include "tensorflow/core/framework/tensor_types.h"
+#include "tensorflow/core/platform/types.h"
+#include "tensorflow/core/util/tensor_format.h"
+
+namespace tensorflow {
+
+namespace functor {
+template <typename T>
+struct MaxPool3dGradBackward {
+ bool operator()(TensorFormat data_format, const T* bottom_data,
+ const T* output_data, const int batch, const int pooled_plane,
+ const int pooled_height, const int pooled_width,
+ const int channels, const int plane, const int height,
+ const int width, const int kernel_p, const int kernel_h,
+ const int kernel_w, const int stride_p, const int stride_h,
+ const int stride_w, const int pad_p, const int pad_t,
+ const int pad_l, const T* top_diff, T* bottom_diff,
+ const Eigen::GpuDevice& d);
+};
+} // namespace functor
+
+} // namespace tensorflow
+
+#endif // TENSORFLOW_CORE_KERNELS_POOLING_OP_3D_H_