tf.raw_ops.SparseAccumulatorApplyGradient

Applies a sparse gradient to a given accumulator.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseAccumulatorApplyGradient

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.

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, 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.
name	A name for the operation (optional).

Returns
The created Operation.