See SetOperationOp::SetOperationFromContext for values of set_operation.
Output result is a SparseTensor represented by result_indices,
result_values, and result_shape. For set1 and set2 ranked n, this
has rank n and the same 1st n-1 dimensions as set1 and set2. The nth
dimension contains the result of set_operation applied to the corresponding
[0...n-1] dimension of set.
Args
set1
A Tensor. Must be one of the following types: int8, int16, int32, int64, uint8, uint16, string.
Tensor with rank n. 1st n-1 dimensions must be the same as set2.
Dimension n contains values in a set, duplicates are allowed but ignored.
set2
A Tensor. Must have the same type as set1.
Tensor with rank n. 1st n-1 dimensions must be the same as set1.
Dimension n contains values in a set, duplicates are allowed but ignored.
set_operation
A string.
validate_indices
An optional bool. Defaults to True.
name
A name for the operation (optional).
Returns
A tuple of Tensor objects (result_indices, result_values, result_shape).
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]