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#if !GOOGLE_CUDA
#error This file must only be included when building with Cuda support
#endif
#ifndef THIRD_PARTY_TENSORFLOW_CORE_KERNELS_MAXPOOLING_OP_GPU_H_
#define THIRD_PARTY_TENSORFLOW_CORE_KERNELS_MAXPOOLING_OP_GPU_H_
#define EIGEN_USE_GPU
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/framework/tensor_types.h"
#include "third_party/eigen3/unsupported/Eigen/CXX11/NeuralNetworks"
namespace tensorflow {
// Run the forward pass of max pooling, optionally writing the argmax indices to
// the mask array, if it is not nullptr. If mask is passed in as nullptr, the
// argmax indices are not written.
bool MaxPoolForwardWithOptionalArgmax(
const float* bottom_data, const int batch, const int height,
const int width, const int channels, const int pooled_height,
const int pooled_width, const int kernel_h, const int kernel_w,
const int stride_h, const int stride_w, const int pad_t, const int pad_l,
float* top_data, int64* mask, const Eigen::GpuDevice& d);
bool MaxPoolBackwardWithArgmax(const int output_size, const int input_size,
const float* top_diff, const int64* mask,
const int top_offset, const int bottom_offset,
float* bottom_diff, const Eigen::GpuDevice& d);
bool MaxPoolBackwardNoMask(const float* bottom_data, const int batch,
const int height, const int width,
const int channels, const int pooled_height,
const int pooled_width, const int kernel_h,
const int kernel_w, const int stride_h,
const int stride_w, const int pad_t, const int pad_l,
const float* top_diff, float* bottom_diff,
const Eigen::GpuDevice& d);
} // namespace tensorflow
#endif // THIRD_PARTY_TENSORFLOW_CORE_KERNELS_MAXPOOLING_OP_GPU_H_
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