:github_url: https://github.com/pytorch/pytorch


.. _program_listing_file_torch_csrc_api_include_torch_nn_options_fold.h:

Program Listing for File fold.h
===============================

|exhale_lsh| :ref:`Return to documentation for file <file_torch_csrc_api_include_torch_nn_options_fold.h>` (``torch/csrc/api/include/torch/nn/options/fold.h``)

.. |exhale_lsh| unicode:: U+021B0 .. UPWARDS ARROW WITH TIP LEFTWARDS

.. code-block:: cpp

   #pragma once
   
   #include <torch/arg.h>
   #include <torch/csrc/Export.h>
   #include <torch/expanding_array.h>
   #include <torch/types.h>
   
   namespace torch::nn {
   
   struct TORCH_API FoldOptions {
     FoldOptions(ExpandingArray<2> output_size, ExpandingArray<2> kernel_size)
         : output_size_(output_size), kernel_size_(kernel_size) {}
   
     TORCH_ARG(ExpandingArray<2>, output_size);
   
     TORCH_ARG(ExpandingArray<2>, kernel_size);
   
     TORCH_ARG(ExpandingArray<2>, dilation) = 1;
   
     TORCH_ARG(ExpandingArray<2>, padding) = 0;
   
     TORCH_ARG(ExpandingArray<2>, stride) = 1;
   };
   
   namespace functional {
   using FoldFuncOptions = FoldOptions;
   } // namespace functional
   
   // ============================================================================
   
   struct TORCH_API UnfoldOptions {
     UnfoldOptions(ExpandingArray<2> kernel_size) : kernel_size_(kernel_size) {}
   
     TORCH_ARG(ExpandingArray<2>, kernel_size);
   
     TORCH_ARG(ExpandingArray<2>, dilation) = 1;
   
     TORCH_ARG(ExpandingArray<2>, padding) = 0;
   
     TORCH_ARG(ExpandingArray<2>, stride) = 1;
   };
   
   namespace functional {
   using UnfoldFuncOptions = UnfoldOptions;
   } // namespace functional
   
   } // namespace torch::nn