tensorflow::ops::SparseAccumulatorApplyGradient

#include <data_flow_ops.h>

Applies a sparse gradient to a given accumulator.

Summary

Does not add if local_step is smaller than the accumulator's global_step.

Arguments:

• scope: A Scope object
• handle: The handle to a accumulator.
• local_step: The local_step value at which the sparse gradient was computed.
• gradient_indices: Indices of the sparse gradient to be accumulated. Must be a vector.
• gradient_values: 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: Shape of the sparse gradient to be accumulated.
• has_known_shape: Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.

Returns:

• the created Operation

Public attributes

Operation operation

Public functions

 SparseAccumulatorApplyGradient(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input handle,
  ::tensorflow::Input local_step,
  ::tensorflow::Input gradient_indices,
  ::tensorflow::Input gradient_values,
  ::tensorflow::Input gradient_shape,
  bool has_known_shape
)

operator::tensorflow::Operation() const