This is a pure-TF implementation of tf.math.cumulative_logsumexp; unlike
the built-in op, it supports XLA compilation. It uses a similar algorithmic
technique (parallel prefix sum) as the built-in op, so it has similar numerics
and asymptotic performace. However, this implemenentation currently has higher
overhead, so it is significantly slower on smaller inputs (n < 10000).
Args
x
the Tensor to sum over.
axis
int Tensor axis to sum over.
name
Python str name prefixed to Ops created by this function.
Default value: None (i.e., 'cumulative_logsumexp').
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[]]