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/r2.4/api_docs/python/tf/raw_ops/StatefulUniformInt