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).
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]