tf.raw_ops.SparseAccumulatorApplyGradient

Applies a sparse gradient to a given accumulator.

tf.raw_ops.SparseAccumulatorApplyGradient(
    handle,
    local_step,
    gradient_indices,
    gradient_values,
    gradient_shape,
    has_known_shape,
    name=None
)

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

handleA Tensor of type mutable string. The handle to a accumulator.
local_stepA Tensor of type int64. The local_step value at which the sparse gradient was computed.
gradient_indicesA Tensor of type int64. Indices of the sparse gradient to be accumulated. Must be a vector.
gradient_valuesA 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_shapeA Tensor of type int64. Shape of the sparse gradient to be accumulated.
has_known_shapeA bool. Boolean indicating whether gradient_shape is unknown, in which case the input is ignored during validation.
nameA name for the operation (optional).

The created Operation.