tf.raw_ops.RandomUniformInt
Outputs random integers from a uniform distribution.
tf.raw_ops.RandomUniformInt(
shape, minval, maxval, seed=0, seed2=0, name=None
)
The generated values are uniform integers in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is excluded.
The random integers are slightly biased unless maxval - minval is an exact power of two. The bias is small for values of maxval - minval significantly smaller than the range of the output (either 2^32 or 2^64).
| Args | |
|---|---|
shape |
A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor. |
minval |
A Tensor. Must be one of the following types: int32, int64. 0-D. Inclusive lower bound on the generated integers. |
maxval |
A Tensor. Must have the same type as minval. 0-D. Exclusive upper bound on the generated integers. |
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. 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/RandomUniformInt