tf.raw_ops.StatelessRandomUniformInt
Outputs deterministic pseudorandom random integers from a uniform distribution.
tf.raw_ops.StatelessRandomUniformInt(
shape, seed, minval, maxval, name=None
)
The generated values follow a uniform distribution in the range [minval, maxval).
The outputs are a deterministic function of shape, seed, minval, and maxval.
| Args | |
|---|---|
shape |
A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor. |
seed |
A Tensor. Must be one of the following types: int32, int64. 2 seeds (shape [2]). |
minval |
A Tensor. Must be one of the following types: int32, int64. Minimum value (inclusive, scalar). |
maxval |
A Tensor. Must have the same type as minval. Maximum value (exclusive, scalar). |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as minval. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/StatelessRandomUniformInt