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tf.contrib.checkpoint.Mapping

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An append-only trackable mapping data structure with string keys.

Maintains checkpoint dependencies on its contents (which must also be trackable), named based on its keys.

Note that once a key has been added, it may not be deleted or replaced. If names may not be unique, see tf.contrib.checkpoint.UniqueNameTracker.

layers

losses Aggregate losses from any Layer instances.
non_trainable_variables

non_trainable_weights

trainable

trainable_variables

trainable_weights

updates Aggregate updates from any Layer instances.
variables

weights

Methods

get

D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.

items

D.items() -> a set-like object providing a view on D's items

keys

D.keys() -> a set-like object providing a view on D's keys

update

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values

D.values() -> an object providing a view on D's values

__contains__

__eq__

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Return self==value.

__getitem__

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__iter__

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__len__

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