By equivalent graph code we mean code that generates a TensorFlow graph when
run. The generated graph has the same effects as the original code when executed
(for example with tf.function or tf.compat.v1.Session.run). In other words,
using AutoGraph can be thought of as running Python in TensorFlow.
Modules
experimental module: Public API for tf.autograph.experimental namespace.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]