teras.models.GAINGenerator
==========================

.. currentmodule:: teras.models

.. autoclass:: GAINGenerator

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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