The input tensors must have rank=2, and must all have the same number of
rows. The result is a RaggedTensor with the same number of rows as the
inputs, where result[row] contains a list of all combinations of values
formed by taking a single value from each input's corresponding row
(inputs[i][row]). Values are combined by hashing together their
fingerprints. E.g.:
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]