seisnn.model.attention.TransformerBlockE
========================================

.. currentmodule:: seisnn.model.attention

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

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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