Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Args
a_indices
A Tensor of type int64.
2-D. N x R matrix with the indices of non-empty values in a
SparseTensor, in the canonical lexicographic ordering.
a_values
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
1-D. N non-empty values corresponding to a_indices.
a_shape
A Tensor of type int64.
1-D. Shape of the input SparseTensor.
b_indices
A Tensor of type int64.
counterpart to a_indices for the other operand.
b_values
A Tensor. Must have the same type as a_values.
counterpart to a_values for the other operand; must be of the same dtype.
b_shape
A Tensor of type int64.
counterpart to a_shape for the other operand; the two shapes must be equal.
name
A name for the operation (optional).
Returns
A tuple of Tensor objects (output_indices, output_values).
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]