Outputs deterministic pseudorandom random integers from a uniform distribution.
tf.raw_ops.StatelessRandomUniformFullIntV2( shape, key, counter, alg, dtype=tf.dtypes.uint64, name=None )
The generated values are uniform integers covering the whole range of dtype
.
The outputs are a deterministic function of shape
, key
, counter
and alg
.
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[]). |
dtype | An optional tf.DType from: tf.int32, tf.int64, tf.uint32, tf.uint64 . Defaults to tf.uint64 . The type of the output. |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type dtype . |
© 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/StatelessRandomUniformFullIntV2