tf.contrib.eager.Iterator

An iterator producing tf.Tensor objects from a tf.data.Dataset.

tf.contrib.eager.Iterator(
    dataset
)

Note: Unlike the iterator created by the tf.data.Dataset.make_one_shot_iterator method, this class enables additional experimental functionality, such as prefetching to the GPU.

Args
dataset	A tf.data.Dataset object.

Raises
TypeError	If dataset is an unsupported type.
RuntimeError	When invoked without eager execution enabled.

Attributes
element_spec	The type specification of an element of this iterator.
output_classes	Returns the class of each component of an element of this iterator. (deprecated) The expected values are tf.Tensor and tf.SparseTensor.
output_shapes	Returns the shape of each component of an element of this iterator. (deprecated)
output_types	Returns the type of each component of an element of this iterator. (deprecated)

Methods

get_next

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get_next(
    name=None
)

Returns a nested structure of tf.Tensors containing the next element.

Args
name	(Optional.) A name for the created operation. Currently unused.

Returns
A nested structure of tf.Tensor objects.

Raises
tf.errors.OutOfRangeError: If the end of the dataset has been reached.

next

View source

next()

Returns a nested structure of Tensors containing the next element.

__iter__

View source

__iter__()