tf.contrib.checkpoint.Mapping

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

tf.contrib.checkpoint.Mapping(
    *args, **kwargs
)

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.

Attributes
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

get(
    key, default=None
)

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

items

items()

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

keys

keys()

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

update

View source

update(
    *args, **kwargs
)

values

values()

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

__contains__

__contains__(
    key
)

__eq__

View source

__eq__(
    other
)

Return self==value.

__getitem__

View source

__getitem__(
    key
)

__iter__

View source

__iter__()

__len__

View source

__len__()