tf.raw_ops.StatelessRandomUniformIntV2
Outputs deterministic pseudorandom random integers from a uniform distribution.
tf.raw_ops.StatelessRandomUniformIntV2( shape, key, counter, alg, minval, maxval, name=None )
The generated values follow a uniform distribution in the range [minval, maxval)
.
The outputs are a deterministic function of shape
, key
, counter
, alg
, minval
and maxval
.
Args | |
---|---|
shape | A Tensor . Must be one of the following types: int32 , int64 . The shape of the output tensor. |
key | A Tensor of type uint64 . Key for the counter-based RNG algorithm (shape uint64[1]). |
counter | A Tensor of type uint64 . Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used. |
alg | A Tensor of type int32 . The RNG algorithm (shape int32[]). |
minval | A Tensor . Must be one of the following types: int32 , int64 , uint32 , uint64 . 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/StatelessRandomUniformIntV2