tf.raw_ops.ExperimentalRandomDataset | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ExperimentalRandomDataset
Stay organized with collections Save and categorize content based on your preferences.
Creates a Dataset that returns pseudorandom numbers.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ExperimentalRandomDataset
tf.raw_ops.ExperimentalRandomDataset(
seed, seed2, output_types, output_shapes, name=None
)
| Args | |
|---|---|
| seed | A Tensor of type int64. A scalar seed for the random number generator. If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used. |
| seed2 | A Tensor of type int64. A second scalar seed to avoid seed collision. |
| 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. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type variant. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.