An Optional can represent the result of an operation that may fail as a
value, rather than raising an exception and halting execution. For example,
tf.data.experimental.get_next_as_optional returns an Optional that either
contains the next value from a tf.compat.v1.data.Iterator if one exists, or
a "none" value that indicates the end of the sequence has been reached.
Optional can only be used by values that are convertible to Tensor or
CompositeTensor.
If this optional does not have a value (i.e. self.has_value() evaluates
to False), this operation will raise tf.errors.InvalidArgumentError
at runtime.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]