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Diffstat (limited to 'tensorflow/core/kernels/pooling_ops_3d_gpu.h')
-rw-r--r-- | tensorflow/core/kernels/pooling_ops_3d_gpu.h | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/tensorflow/core/kernels/pooling_ops_3d_gpu.h b/tensorflow/core/kernels/pooling_ops_3d_gpu.h new file mode 100644 index 0000000000..350b1b6732 --- /dev/null +++ b/tensorflow/core/kernels/pooling_ops_3d_gpu.h @@ -0,0 +1,48 @@ +/* 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_ |