Creates a serving_input_receiver_fn that expects a serialized tf.Example fed
into a string placeholder. The function parses the tf.Example according to
the provided feature_spec, and returns all parsed Tensors as features.
Args
feature_spec
a dict of string to VarLenFeature/FixedLenFeature.
default_batch_size
the number of query examples expected per batch. Leave
unset for variable batch size (recommended).
Returns
A serving_input_receiver_fn suitable for use in serving.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]