STT-tensorflow/tensorflow/tools/api/golden/v1/tensorflow.data.experimental.-random-dataset.pbtxt
Jiri Simsa cfe037e3fe [tf.data] API changes.
This CL makes the following tf.data API-related changes:
1) `tf.data.Iterator` and `tf.data.IteratorSpec` are exposed in the v2 API
2) `tf.experimental.Optional` is exposed in the API (previously exposed as `tf.data.experimental.Optional`)
3) `tf.experimental.Optional.none_from_structure` and `tf.experimental.Optional.value_structure` is renamed to and `tf.experimental.Optional.empty` and `tf.experimental.Optional.element_spec` respectively
4) `tf.OptionalSpec.value_structure` is renamed to `tf.OptionalSpec.element_spec`
5) reflects these changes in documentation and code
6) adds testable docstring for newly exposed APIs

PiperOrigin-RevId: 316003328
Change-Id: I7b7e79942308b3d2f94b988c31729980fb69d961
2020-06-11 16:46:30 -07:00

165 lines
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path: "tensorflow.data.experimental.RandomDataset"
tf_class {
is_instance: "<class \'tensorflow.python.data.experimental.ops.random_ops.RandomDatasetV1\'>"
is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.DatasetV1Adapter\'>"
is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.DatasetV1\'>"
is_instance: "<class \'tensorflow.python.data.ops.dataset_ops.DatasetV2\'>"
is_instance: "<class \'collections.abc.Iterable\'>"
member {
name: "element_spec"
mtype: "<type \'property\'>"
}
member {
name: "output_classes"
mtype: "<type \'property\'>"
}
member {
name: "output_shapes"
mtype: "<type \'property\'>"
}
member {
name: "output_types"
mtype: "<type \'property\'>"
}
member_method {
name: "__init__"
argspec: "args=[\'self\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "apply"
argspec: "args=[\'self\', \'transformation_func\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "as_numpy_iterator"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "batch"
argspec: "args=[\'self\', \'batch_size\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'False\'], "
}
member_method {
name: "cache"
argspec: "args=[\'self\', \'filename\'], varargs=None, keywords=None, defaults=[\'\'], "
}
member_method {
name: "cardinality"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "concatenate"
argspec: "args=[\'self\', \'dataset\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "enumerate"
argspec: "args=[\'self\', \'start\'], varargs=None, keywords=None, defaults=[\'0\'], "
}
member_method {
name: "filter"
argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "filter_with_legacy_function"
argspec: "args=[\'self\', \'predicate\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "flat_map"
argspec: "args=[\'self\', \'map_func\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "from_generator"
argspec: "args=[\'generator\', \'output_types\', \'output_shapes\', \'args\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "from_sparse_tensor_slices"
argspec: "args=[\'sparse_tensor\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "from_tensor_slices"
argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "from_tensors"
argspec: "args=[\'tensors\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "interleave"
argspec: "args=[\'self\', \'map_func\', \'cycle_length\', \'block_length\', \'num_parallel_calls\', \'deterministic\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
}
member_method {
name: "list_files"
argspec: "args=[\'file_pattern\', \'shuffle\', \'seed\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "make_initializable_iterator"
argspec: "args=[\'self\', \'shared_name\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "make_one_shot_iterator"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "map"
argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\', \'deterministic\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "map_with_legacy_function"
argspec: "args=[\'self\', \'map_func\', \'num_parallel_calls\', \'deterministic\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "options"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "padded_batch"
argspec: "args=[\'self\', \'batch_size\', \'padded_shapes\', \'padding_values\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'False\'], "
}
member_method {
name: "prefetch"
argspec: "args=[\'self\', \'buffer_size\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "range"
argspec: "args=[], varargs=args, keywords=kwargs, defaults=None"
}
member_method {
name: "reduce"
argspec: "args=[\'self\', \'initial_state\', \'reduce_func\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "repeat"
argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=[\'None\'], "
}
member_method {
name: "shard"
argspec: "args=[\'self\', \'num_shards\', \'index\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "shuffle"
argspec: "args=[\'self\', \'buffer_size\', \'seed\', \'reshuffle_each_iteration\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
}
member_method {
name: "skip"
argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "take"
argspec: "args=[\'self\', \'count\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "unbatch"
argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "window"
argspec: "args=[\'self\', \'size\', \'shift\', \'stride\', \'drop_remainder\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'False\'], "
}
member_method {
name: "with_options"
argspec: "args=[\'self\', \'options\'], varargs=None, keywords=None, defaults=None"
}
member_method {
name: "zip"
argspec: "args=[\'datasets\'], varargs=None, keywords=None, defaults=None"
}
}