This is the recommended way to check if a checkpoint exists, since it takes
into account the naming difference between V1 and V2 formats.
Args
checkpoint_prefix
the prefix of a V1 or V2 checkpoint, with V2 taking
priority. Typically the result of Saver.save() or that of
tf.train.latest_checkpoint(), regardless of sharded/non-sharded or
V1/V2.
Returns
A bool, true if a checkpoint referred to by checkpoint_prefix exists.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]