tf.raw_ops.SparseAccumulatorTakeGradient

Extracts the average sparse gradient in a SparseConditionalAccumulator.

tf.raw_ops.SparseAccumulatorTakeGradient(
    handle, num_required, dtype, name=None
)

The op will blocks until sufficient (i.e., more than num_required) gradients have been accumulated. If the accumulator has already aggregated more than num_required gradients, it will return its average of the accumulated gradients. Also automatically increments the recorded global_step in the accumulator by 1, and resets the aggregate to 0.

Args:

  • handle: A Tensor of type mutable string. The handle to a SparseConditionalAccumulator.
  • num_required: A Tensor of type int32. Number of gradients required before we return an aggregate.
  • dtype: A tf.DType from: tf.float32, tf.float64, tf.int32, tf.uint8, tf.int16, tf.int8, tf.complex64, tf.int64, tf.qint8, tf.quint8, tf.qint32, tf.bfloat16, tf.uint16, tf.complex128, tf.half, tf.uint32, tf.uint64. The data type of accumulated gradients. Needs to correspond to the type of the accumulator.
  • name: A name for the operation (optional).

Returns:

A tuple of Tensor objects (indices, values, shape).

  • indices: A Tensor of type int64.
  • values: A Tensor of type dtype.
  • shape: A Tensor of type int64.