# Scalar indicesref[indices,...]-=updates[...]# Vector indices (for each i)ref[indices[i],...]-=updates[i,...]# High rank indices (for each i, ..., j)ref[indices[i,...,j],...]-=updates[i,...,j,...]
Duplicate entries are handled correctly: if multiple indices reference
the same location, their contributions add.
Requires updates.shape = indices.shape + ref.shape[1:] or updates.shape = [].
Args
resource
A Tensor of type resource. Should be from a Variable node.
indices
A Tensor. Must be one of the following types: int32, int64.
A tensor of indices into the first dimension of ref.
updates
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64.
A tensor of updated values to add to ref.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]