tfp.layers.default_multivariate_normal_fn

Creates multivariate standard Normal distribution.

Main aliases

tfp.layers.util.default_multivariate_normal_fn

tfp.layers.default_multivariate_normal_fn(
    dtype, shape, name, trainable, add_variable_fn
)

Args
`dtype`	Type of parameter's event.
`shape`	Python `list`-like representing the parameter's event shape.
`name`	Python `str` name prepended to any created (or existing) `tf.Variable`s.
`trainable`	Python `bool` indicating all created `tf.Variable`s should be added to the graph collection `GraphKeys.TRAINABLE_VARIABLES`.
`add_variable_fn`	`tf.get_variable`-like `callable` used to create (or access existing) `tf.Variable`s.

Returns
Multivariate standard `Normal` distribution.

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 2023-11-21 UTC.

Args