Thanks for tuning in to Google I/O. View all sessions on demand
Watch on demand
tf_agents.distributions.utils.DistributionSpecV2
Stay organized with collections
Save and categorize content based on your preferences.
Describes a tfp.distribution.Distribution using nested parameters.
tf_agents.distributions.utils.DistributionSpecV2(
event_shape: tf.TensorShape,
dtype: tf.DType,
parameters: tf_agents.distributions.utils.Params
)
Args |
event_shape
|
The distribution's event_shape . This is the shape that
distribution.sample() returns. distribution.sample(sample_shape)
returns tensors of shape sample_shape + event_shape .
|
dtype
|
The distribution's dtype .
|
parameters
|
The recursive parameters of the distribution, with
tensors having directly been converted to tf.TypeSpec objects.
|
Attributes |
dtype
|
|
event_shape
|
|
event_spec
|
|
parameters
|
|
Methods
__eq__
View source
__eq__(
other
)
Return self==value.
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.
Last updated 2023-03-24 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]