decoder.deep_perceiver_decoder
==============================

.. py:module:: decoder.deep_perceiver_decoder


Classes
-------

.. autoapisummary::

   decoder.deep_perceiver_decoder.DeepPerceiverDecoderConfig


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

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

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


   Configuration for the DeepPerceiverDecoder module.

   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:: perceiver_block_config
      :type:  emmi.schemas.modules.blocks.perceiver_block_config.PerceiverBlockConfig
      :value: None


      Configuration for the Perceiver blocks used in the decoder.


   .. py:attribute:: depth
      :type:  int
      :value: None


      Number of deep perceiver decoder layers (i.e., depth of the network). Defaults to 1.


   .. py:attribute:: output_dim
      :type:  int
      :value: None


      Output dimension of the decoder.


   .. py:attribute:: input_dim
      :type:  int
      :value: None


      Input dimension for the query positions.