make-iterator
Creates an iterator for enumerating the elements of this dataset.
Description
Creates an iterator for enumerating the elements of this dataset.
Usage
make_iterator_one_shot(dataset)
make_iterator_initializable(dataset, shared_name = NULL)
make_iterator_from_structure(
output_types,
output_shapes = NULL,
shared_name = NULL
)
make_iterator_from_string_handle(
string_handle,
output_types,
output_shapes = NULL
) Arguments
| Arguments | Description |
|---|---|
| dataset | A dataset |
| shared_name | (Optional) If non-empty, the returned iterator will be shared under the given name across multiple sessions that share the same devices (e.g. when using a remote server). |
| output_types | A nested structure of tf\(DType objects corresponding to each component of an element of this iterator. | | output_shapes | (Optional) A nested structure of tf\)TensorShape objects corresponding to each component of an element of this dataset. If omitted, each component will have an unconstrainted shape. |
| string_handle | A scalar tensor of type string that evaluates to a handle produced by the iterator_string_handle() method. |
Section
Initialization
For make_iterator_one_shot(), the returned iterator will be initialized automatically. A “one-shot” iterator does not currently support re-initialization. For make_iterator_initializable(), the returned iterator will be in an uninitialized state, and you must run the object returned from iterator_initializer() before using it. For make_iterator_from_structure(), the returned iterator is not bound to a particular dataset, and it has no initializer. To initialize the iterator, run the operation returned by iterator_make_initializer().
Value
An Iterator over the elements of this dataset.
See Also
Other iterator functions: iterator_get_next(), iterator_initializer(), iterator_make_initializer(), iterator_string_handle()