tf.raw_ops.AccumulatorApplyGradient

Applies a gradient to a given accumulator.

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, uint16, complex128, half, uint32, uint64. A tensor of the gradient to be accumulated.
  • name: A name for the operation (optional).

Returns:

The created Operation.