tfp.experimental.marginalize.logeinsumexp
Stay organized with collections
Save and categorize content based on your preferences.
Computing einsum
in logarithmic space.
tfp.experimental.marginalize.logeinsumexp(
formula, *tensors
)
Args |
formula
|
a formula compatible with einsum . (But note that
ellipses are not supported.)
|
*tensors
|
tensors to which contractions will be applied.
|
Returns |
logeinsumexp(formula, *tensors) is equivalent to
tf.math.log(einsum(formula, *map(tf.math.exp, tensors))) except
that it is more numerically stable.
|
Notes |
This implementation of logeinsumexp is primarily intended for internal
use in the marginalize library and assumes the formula is well-formed.
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[]]