tfp.math.log_add_exp
Stay organized with collections
Save and categorize content based on your preferences.
Computes log(exp(x) + exp(y))
in a numerically stable way.
tfp.math.log_add_exp(
x, y, name=None
)
Args |
x
|
float Tensor broadcastable with y .
|
y
|
float Tensor broadcastable with x .
|
name
|
Python str name prefixed to Ops created by this function.
Default value: None (i.e., 'log_add_exp' ).
|
Returns |
log_add_exp
|
log(exp(x) + exp(y)) computed in a numerically stable way.
|
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.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[]]