niftynet.engine.application_iteration module¶
Message stores status info of the current iteration.
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class
IterationMessage[source]¶ Bases:
objectThis class consists of network variables and operations at each iteration. A singleton instance is managed by the application engine and an application jointly.
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current_iter¶ Current iteration index can be used to create complex schedule for the iterative training/validation/inference procedure.
Returns: integer of iteration
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ops_to_run¶ operations (tf graph elements) to be fed into
session.run(...). This is currently mainly used for passing network gradient updates ops to session.runReturns: dictionary of operations
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data_feed_dict¶ A dictionary that maps graph elements to values to be fed into
session.run(...)as feed_dict parameterReturns: dictionary of operations
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current_iter_output¶ This property stores graph output received by running
session.run().Returns:
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should_stop¶ Engine check this property after each iteration
This could be modified in by application
application.set_iteration_update()to create training schedules such as early stopping.Returns: boolean
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phase¶ A string indicating the phase in train/validation/inference
Returns:
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is_training¶ return – boolean value indicating if the phase is in training
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__init__¶ x.__init__(…) initializes x; see help(type(x)) for signature
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is_validation¶ return – boolean value indicating if the phase is validation
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is_inference¶ return – boolean value indicating if the phase is inference
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iter_duration¶ return – time duration of an iteration
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