SparseAccumulatorApplyGradient

public final class SparseAccumulatorApplyGradient

Applies a sparse gradient to a given accumulator.

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

String OP_NAME The name of this op, as known by TensorFlow core engine

static SparseAccumulatorApplyGradient

create(Scope scope, Operand<TString> handle, Operand<TInt64> localStep, Operand<TInt64> gradientIndices, Operand<? extends TType> gradientValues, Operand<TInt64> gradientShape, Boolean hasKnownShape)

Factory method to create a class wrapping a new SparseAccumulatorApplyGradient operation.

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseAccumulatorApplyGradient"

Factory method to create a class wrapping a new SparseAccumulatorApplyGradient operation.

scope	current scope
handle	The handle to a accumulator.
localStep	The local_step value at which the sparse gradient was computed.
gradientIndices	Indices of the sparse gradient to be accumulated. Must be a vector.
gradientValues	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.
gradientShape	Shape of the sparse gradient to be accumulated.
hasKnownShape	Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.