teras.models.TransformerEncoderBackbone
=======================================

.. currentmodule:: teras.models

.. autoclass:: TransformerEncoderBackbone

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~TransformerEncoderBackbone.__init__
      ~TransformerEncoderBackbone.add_loss
      ~TransformerEncoderBackbone.add_metric
      ~TransformerEncoderBackbone.add_variable
      ~TransformerEncoderBackbone.add_weight
      ~TransformerEncoderBackbone.build
      ~TransformerEncoderBackbone.build_from_config
      ~TransformerEncoderBackbone.call
      ~TransformerEncoderBackbone.compile
      ~TransformerEncoderBackbone.compile_from_config
      ~TransformerEncoderBackbone.compiled_loss
      ~TransformerEncoderBackbone.compute_loss
      ~TransformerEncoderBackbone.compute_mask
      ~TransformerEncoderBackbone.compute_metrics
      ~TransformerEncoderBackbone.compute_output_shape
      ~TransformerEncoderBackbone.compute_output_spec
      ~TransformerEncoderBackbone.count_params
      ~TransformerEncoderBackbone.evaluate
      ~TransformerEncoderBackbone.export
      ~TransformerEncoderBackbone.fit
      ~TransformerEncoderBackbone.from_config
      ~TransformerEncoderBackbone.get_build_config
      ~TransformerEncoderBackbone.get_compile_config
      ~TransformerEncoderBackbone.get_config
      ~TransformerEncoderBackbone.get_layer
      ~TransformerEncoderBackbone.get_metrics_result
      ~TransformerEncoderBackbone.get_weights
      ~TransformerEncoderBackbone.load_own_variables
      ~TransformerEncoderBackbone.load_weights
      ~TransformerEncoderBackbone.loss
      ~TransformerEncoderBackbone.make_predict_function
      ~TransformerEncoderBackbone.make_test_function
      ~TransformerEncoderBackbone.make_train_function
      ~TransformerEncoderBackbone.predict
      ~TransformerEncoderBackbone.predict_on_batch
      ~TransformerEncoderBackbone.predict_step
      ~TransformerEncoderBackbone.quantize
      ~TransformerEncoderBackbone.quantized_call
      ~TransformerEncoderBackbone.reset_metrics
      ~TransformerEncoderBackbone.save
      ~TransformerEncoderBackbone.save_own_variables
      ~TransformerEncoderBackbone.save_weights
      ~TransformerEncoderBackbone.set_weights
      ~TransformerEncoderBackbone.stateless_call
      ~TransformerEncoderBackbone.stateless_compute_loss
      ~TransformerEncoderBackbone.summary
      ~TransformerEncoderBackbone.symbolic_call
      ~TransformerEncoderBackbone.test_on_batch
      ~TransformerEncoderBackbone.test_step
      ~TransformerEncoderBackbone.to_json
      ~TransformerEncoderBackbone.train_on_batch
      ~TransformerEncoderBackbone.train_step
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~TransformerEncoderBackbone.compiled_metrics
      ~TransformerEncoderBackbone.compute_dtype
      ~TransformerEncoderBackbone.distribute_reduction_method
      ~TransformerEncoderBackbone.distribute_strategy
      ~TransformerEncoderBackbone.dtype
      ~TransformerEncoderBackbone.dtype_policy
      ~TransformerEncoderBackbone.input
      ~TransformerEncoderBackbone.input_dtype
      ~TransformerEncoderBackbone.input_spec
      ~TransformerEncoderBackbone.jit_compile
      ~TransformerEncoderBackbone.layers
      ~TransformerEncoderBackbone.losses
      ~TransformerEncoderBackbone.metrics
      ~TransformerEncoderBackbone.metrics_names
      ~TransformerEncoderBackbone.metrics_variables
      ~TransformerEncoderBackbone.non_trainable_variables
      ~TransformerEncoderBackbone.non_trainable_weights
      ~TransformerEncoderBackbone.output
      ~TransformerEncoderBackbone.path
      ~TransformerEncoderBackbone.quantization_mode
      ~TransformerEncoderBackbone.run_eagerly
      ~TransformerEncoderBackbone.supports_masking
      ~TransformerEncoderBackbone.trainable
      ~TransformerEncoderBackbone.trainable_variables
      ~TransformerEncoderBackbone.trainable_weights
      ~TransformerEncoderBackbone.variable_dtype
      ~TransformerEncoderBackbone.variables
      ~TransformerEncoderBackbone.weights