tf.raw_ops.RangeDataset

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

Compat aliases for migration

tf.compat.v1.raw_ops.RangeDataset

tf.raw_ops.RangeDataset(
    start,
    stop,
    step,
    output_types,
    output_shapes,
    metadata='',
    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 `""`.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `variant`.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/RangeDataset

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