tf.raw_ops.AccumulatorApplyGradient

Applies a gradient to a given accumulator.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.AccumulatorApplyGradient

tf.raw_ops.AccumulatorApplyGradient(
    handle, local_step, gradient, name=None
)

Does not add if local_step is lesser 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 gradient was computed.
gradient	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. A tensor of the gradient to be accumulated.
name	A name for the operation (optional).

Returns
The created Operation.