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