W3cubDocs

/TensorFlow 2.4

tf.raw_ops.StatelessRandomUniformIntV2

Outputs deterministic pseudorandom random integers from a uniform distribution.

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