tf.raw_ops.StatelessRandomGammaV3
Stay organized with collections
Save and categorize content based on your preferences.
Outputs deterministic pseudorandom random numbers from a gamma distribution.
tf.raw_ops.StatelessRandomGammaV3(
shape, key, counter, alg, alpha, name=None
)
Outputs random values from a gamma distribution.
The outputs are a deterministic function of the inputs.
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[]).
|
alpha
|
A Tensor. Must be one of the following types: half, float32, float64.
The concentration of the gamma distribution. Shape must match the rightmost
dimensions of shape.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as alpha.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[]]
