tf.contrib.eager.Iterator

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

tf.contrib.eager.Iterator(
    dataset
)

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) Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use `tf.compat.v1.data.get_output_classes(iterator)`. The expected values are `tf.Tensor` and `tf.SparseTensor`.
`output_shapes`	Returns the shape of each component of an element of this iterator. (deprecated) Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use `tf.compat.v1.data.get_output_shapes(iterator)`.
`output_types`	Returns the type of each component of an element of this iterator. (deprecated) Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use `tf.compat.v1.data.get_output_types(iterator)`.

Methods

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()

Returns a nested structure of Tensors containing the next element.

__iter__()