layers.drop_path_config
=======================

.. py:module:: layers.drop_path_config


Classes
-------

.. autoapisummary::

   layers.drop_path_config.UnquantizedDropPathConfig


Module Contents
---------------

.. py:class:: UnquantizedDropPathConfig(/, **data)

   Bases: :py:obj:`pydantic.BaseModel`


   Configuration for the UnquantizedDropPath layer.

   Create a new model by parsing and validating input data from keyword arguments.

   Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be
   validated to form a valid model.

   `self` is explicitly positional-only to allow `self` as a field name.


   .. py:attribute:: drop_prob
      :type:  float
      :value: None


      Probability of dropping a path during training.


   .. py:attribute:: scale_by_keep
      :type:  bool
      :value: None


      Up-scales activations during training by 1 - drop_prob to avoid train-test mismatch. Defaults to True.