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 . |
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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