Does not add if local_step is smaller than the accumulator's
global_step.
Args
handle
A Tensor of type mutable string. The handle to a accumulator.
local_step
A Tensor of type int64.
The local_step value at which the sparse gradient was computed.
gradient_indices
A Tensor of type int64.
Indices of the sparse gradient to be accumulated. Must be a
vector.
gradient_values
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.
Values are the non-zero slices of the gradient, and must have
the same first dimension as indices, i.e., the nnz represented by indices and
values must be consistent.
gradient_shape
A Tensor of type int64.
Shape of the sparse gradient to be accumulated.
has_known_shape
A bool.
Boolean indicating whether gradient_shape is unknown, in which
case the input is ignored during validation.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]