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


.. _program_listing_file_torch_csrc_api_include_torch_nn_options_upsampling.h:

Program Listing for File upsampling.h
=====================================

|exhale_lsh| :ref:`Return to documentation for file <file_torch_csrc_api_include_torch_nn_options_upsampling.h>` (``torch/csrc/api/include/torch/nn/options/upsampling.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/enum.h>
   #include <torch/expanding_array.h>
   #include <torch/types.h>
   
   #include <vector>
   
   namespace torch::nn {
   
   struct TORCH_API UpsampleOptions {
     TORCH_ARG(std::optional<std::vector<int64_t>>, size) = std::nullopt;
   
     TORCH_ARG(std::optional<std::vector<double>>, scale_factor) = std::nullopt;
   
     typedef std::variant<
         enumtype::kNearest,
         enumtype::kLinear,
         enumtype::kBilinear,
         enumtype::kBicubic,
         enumtype::kTrilinear>
         mode_t;
     TORCH_ARG(mode_t, mode) = torch::kNearest;
   
     TORCH_ARG(std::optional<bool>, align_corners) = std::nullopt;
   };
   
   namespace functional {
   
   struct TORCH_API InterpolateFuncOptions {
     typedef std::variant<
         enumtype::kNearest,
         enumtype::kLinear,
         enumtype::kBilinear,
         enumtype::kBicubic,
         enumtype::kTrilinear,
         enumtype::kArea,
         enumtype::kNearestExact>
         mode_t;
   
     TORCH_ARG(std::optional<std::vector<int64_t>>, size) = std::nullopt;
   
     TORCH_ARG(std::optional<std::vector<double>>, scale_factor) = std::nullopt;
   
     TORCH_ARG(mode_t, mode) = torch::kNearest;
   
     TORCH_ARG(std::optional<bool>, align_corners) = std::nullopt;
   
     TORCH_ARG(std::optional<bool>, recompute_scale_factor) = std::nullopt;
   
     TORCH_ARG(bool, antialias) = false;
   };
   
   } // namespace functional
   
   } // namespace torch::nn