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


.. _program_listing_file_torch_csrc_api_include_torch_nn_options_instancenorm.h:

Program Listing for File instancenorm.h
=======================================

|exhale_lsh| :ref:`Return to documentation for file <file_torch_csrc_api_include_torch_nn_options_instancenorm.h>` (``torch/csrc/api/include/torch/nn/options/instancenorm.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/nn/options/batchnorm.h>
   #include <torch/types.h>
   
   namespace torch::nn {
   
   struct TORCH_API InstanceNormOptions {
     /* implicit */ InstanceNormOptions(int64_t num_features);
   
     TORCH_ARG(int64_t, num_features);
   
     TORCH_ARG(double, eps) = 1e-5;
   
     TORCH_ARG(double, momentum) = 0.1;
   
     TORCH_ARG(bool, affine) = false;
   
     TORCH_ARG(bool, track_running_stats) = false;
   };
   
   using InstanceNorm1dOptions = InstanceNormOptions;
   
   using InstanceNorm2dOptions = InstanceNormOptions;
   
   using InstanceNorm3dOptions = InstanceNormOptions;
   
   namespace functional {
   
   struct TORCH_API InstanceNormFuncOptions {
     TORCH_ARG(Tensor, running_mean);
   
     TORCH_ARG(Tensor, running_var);
   
     TORCH_ARG(Tensor, weight);
   
     TORCH_ARG(Tensor, bias);
   
     TORCH_ARG(bool, use_input_stats) = true;
   
     TORCH_ARG(double, momentum) = 0.1;
   
     TORCH_ARG(double, eps) = 1e-5;
   };
   
   } // namespace functional
   
   } // namespace torch::nn