teras.models.GAIN
=================

.. currentmodule:: teras.models

.. autoclass:: GAIN

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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