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| #pragma once
|
| #include <torch/nn/options/pooling.h>
|
| namespace torch {
| namespace nn{
| namespace functional {
|
| inline Tensor avg_pool1d(const Tensor& input, const AvgPool1dOptions& options) {
| return torch::avg_pool1d(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.ceil_mode(),
| options.count_include_pad());
| }
|
| inline Tensor avg_pool2d(const Tensor& input, const AvgPool2dOptions& options) {
| return torch::avg_pool2d(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.ceil_mode(),
| options.count_include_pad(),
| options.divisor_override());
| }
|
| inline Tensor avg_pool3d(const Tensor& input, const AvgPool3dOptions& options) {
| return torch::avg_pool3d(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.ceil_mode(),
| options.count_include_pad(),
| options.divisor_override());
| }
|
| // ============================================================================
|
| inline Tensor max_pool1d(const Tensor& input, const MaxPool1dOptions& options) {
| return torch::max_pool1d(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.dilation(),
| options.ceil_mode());
| }
|
| inline std::tuple<Tensor, Tensor> max_pool1d_with_indices(const Tensor& input, const MaxPool1dOptions& options) {
| return torch::max_pool1d_with_indices(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.dilation(),
| options.ceil_mode());
| }
|
| inline Tensor max_pool2d(const Tensor& input, const MaxPool2dOptions& options) {
| return torch::max_pool2d(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.dilation(),
| options.ceil_mode());
| }
|
| inline std::tuple<Tensor, Tensor> max_pool2d_with_indices(const Tensor& input, const MaxPool2dOptions& options) {
| return torch::max_pool2d_with_indices(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.dilation(),
| options.ceil_mode());
| }
|
| inline Tensor max_pool3d(const Tensor& input, const MaxPool3dOptions& options) {
| return torch::max_pool3d(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.dilation(),
| options.ceil_mode());
| }
|
| inline std::tuple<Tensor, Tensor> max_pool3d_with_indices(const Tensor& input, const MaxPool3dOptions& options) {
| return torch::max_pool3d_with_indices(
| input,
| options.kernel_size(),
| options.stride(),
| options.padding(),
| options.dilation(),
| options.ceil_mode());
| }
|
| // ============================================================================
|
| inline Tensor adaptive_max_pool1d(const Tensor& input,
| const AdaptiveMaxPool1dOptions& options) {
| return std::get<0>(torch::adaptive_max_pool1d(input, options.output_size()));
| }
|
| inline std::tuple<Tensor, Tensor> adaptive_max_pool1d_with_indices(
| const Tensor& input, const AdaptiveMaxPool1dOptions& options) {
| return torch::adaptive_max_pool1d(input, options.output_size());
| }
|
| inline Tensor adaptive_max_pool2d(const Tensor& input,
| const AdaptiveMaxPool2dOptions& options) {
| return std::get<0>(torch::adaptive_max_pool2d(input, options.output_size()));
| }
|
| inline std::tuple<Tensor, Tensor> adaptive_max_pool2d_with_indices(
| const Tensor& input, const AdaptiveMaxPool2dOptions& options) {
| return torch::adaptive_max_pool2d(input, options.output_size());
| }
|
| inline Tensor adaptive_max_pool3d(const Tensor& input,
| const AdaptiveMaxPool3dOptions& options) {
| return std::get<0>(torch::adaptive_max_pool3d(input, options.output_size()));
| }
|
| inline std::tuple<Tensor, Tensor> adaptive_max_pool3d_with_indices(
| const Tensor& input, const AdaptiveMaxPool3dOptions& options) {
| return torch::adaptive_max_pool3d(input, options.output_size());
| }
|
| } // namespace functional
| } // namespace nn
| } // namespace torch
|
|
