tf.keras.mixed_precision.experimental.global_policy
Stay organized with collections
Save and categorize content based on your preferences.
Returns the global Policy.
tf.keras.mixed_precision.experimental.global_policy()
The global policy is the default policy used for layers, if no policy is
passed to the layer constructor. If no policy has been set with
keras.mixed_precision.experimental.set_policy, this will return a policy
constructed from tf.keras.backend.floatx() (floatx defaults to float32).
If TensorFlow 2 behavior has been disabled with
tf.compat.v1.disable_v2_behavior(), this will instead return a special
"_infer" policy which infers the dtype from the dtype of the first input the
first time the layer is called. This behavior matches the behavior that
existed in TensorFlow 1.
See tf.keras.mixed_precision.experimental.Policy for more information on
policies.
Returns |
|---|
|
The global Policy.
|
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 2020-10-01 UTC.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub