seisnn.model.attention.TransformerBlockD
========================================

.. currentmodule:: seisnn.model.attention

.. autoclass:: TransformerBlockD
   :members:
   :show-inheritance:
   :inherited-members:

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~TransformerBlockD.__init__
      ~TransformerBlockD.add_loss
      ~TransformerBlockD.add_metric
      ~TransformerBlockD.add_update
      ~TransformerBlockD.add_variable
      ~TransformerBlockD.add_weight
      ~TransformerBlockD.apply
      ~TransformerBlockD.build
      ~TransformerBlockD.call
      ~TransformerBlockD.compute_mask
      ~TransformerBlockD.compute_output_shape
      ~TransformerBlockD.compute_output_signature
      ~TransformerBlockD.count_params
      ~TransformerBlockD.from_config
      ~TransformerBlockD.get_config
      ~TransformerBlockD.get_input_at
      ~TransformerBlockD.get_input_mask_at
      ~TransformerBlockD.get_input_shape_at
      ~TransformerBlockD.get_losses_for
      ~TransformerBlockD.get_output_at
      ~TransformerBlockD.get_output_mask_at
      ~TransformerBlockD.get_output_shape_at
      ~TransformerBlockD.get_updates_for
      ~TransformerBlockD.get_weights
      ~TransformerBlockD.set_weights
      ~TransformerBlockD.with_name_scope
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~TransformerBlockD.activity_regularizer
      ~TransformerBlockD.compute_dtype
      ~TransformerBlockD.dtype
      ~TransformerBlockD.dtype_policy
      ~TransformerBlockD.dynamic
      ~TransformerBlockD.inbound_nodes
      ~TransformerBlockD.input
      ~TransformerBlockD.input_mask
      ~TransformerBlockD.input_shape
      ~TransformerBlockD.input_spec
      ~TransformerBlockD.losses
      ~TransformerBlockD.metrics
      ~TransformerBlockD.name
      ~TransformerBlockD.name_scope
      ~TransformerBlockD.non_trainable_variables
      ~TransformerBlockD.non_trainable_weights
      ~TransformerBlockD.outbound_nodes
      ~TransformerBlockD.output
      ~TransformerBlockD.output_mask
      ~TransformerBlockD.output_shape
      ~TransformerBlockD.stateful
      ~TransformerBlockD.submodules
      ~TransformerBlockD.supports_masking
      ~TransformerBlockD.trainable
      ~TransformerBlockD.trainable_variables
      ~TransformerBlockD.trainable_weights
      ~TransformerBlockD.updates
      ~TransformerBlockD.variable_dtype
      ~TransformerBlockD.variables
      ~TransformerBlockD.weights