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. |
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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/StatelessRandomUniformIntV2