tf.raw_ops.RandomUniform | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.RandomUniform
Stay organized with collections Save and categorize content based on your preferences.
Outputs random values from a uniform distribution.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.RandomUniform
tf.raw_ops.RandomUniform(
shape, dtype, seed=0, seed2=0, name=None
)
The generated values follow a uniform distribution in the range [0, 1). The lower bound 0 is included in the range, while the upper bound 1 is excluded.
| Args | |
|---|---|
| shape | A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor. |
| dtype | A tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64. The type of the output. |
| seed | An optional int. Defaults to 0. If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
| seed2 | An optional int. Defaults to 0. A second seed to avoid seed collision. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type dtype. |
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.