tf.raw_ops.StatefulUniformInt
Outputs random integers from a uniform distribution.
tf.raw_ops.StatefulUniformInt(
resource, algorithm, shape, minval, maxval, 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 | |
|---|---|
resource |
A Tensor of type resource. The handle of the resource variable that stores the state of the RNG. |
algorithm |
A Tensor of type int64. The RNG algorithm. |
shape |
A Tensor. The shape of the output tensor. |
minval |
A Tensor. 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/StatefulUniformInt