tf.raw_ops.RangeDataset

Creates a dataset with a range of values. Corresponds to python's xrange.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RangeDataset

tf.raw_ops.RangeDataset(
    start,
    stop,
    step,
    output_types,
    output_shapes,
    metadata='',
    replicate_on_split=False,
    name=None
)

Args
start	A Tensor of type int64. corresponds to start in python's xrange().
stop	A Tensor of type int64. corresponds to stop in python's xrange().
step	A Tensor of type int64. corresponds to step in python's xrange().
output_types	A list of tf.DTypes that has length >= 1.
output_shapes	A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
metadata	An optional string. Defaults to "".
replicate_on_split	An optional bool. Defaults to False.
name	A name for the operation (optional).

Returns
A Tensor of type variant.