tensorflow::ops::ConditionalAccumulator

#include <data_flow_ops.h>

A conditional accumulator for aggregating gradients.

Summary

The accumulator accepts

gradients marked with local_step greater or equal to the most recent global_step known to the accumulator. The average can be extracted from the accumulator, provided sufficient gradients have been accumulated. Extracting the average automatically resets the aggregate to 0, and increments the global_step recorded by the accumulator.

Arguments:

• scope: A Scope object
• dtype: The type of the value being accumulated.
• shape: The shape of the values, can be [], in which case shape is unknown.

Optional attributes (see Attrs):

• container: If non-empty, this accumulator is placed in the given container. Otherwise, a default container is used.
• shared_name: If non-empty, this accumulator will be shared under the given name across multiple sessions.

Returns:

• Output: The handle to the accumulator.

Public attributes

::tensorflow::Output handle

Public functions

 ConditionalAccumulator(
  const ::tensorflow::Scope & scope,
  DataType dtype,
  TensorShape shape
)

 ConditionalAccumulator(
  const ::tensorflow::Scope & scope,
  DataType dtype,
  TensorShape shape,
  const ConditionalAccumulator::Attrs & attrs
)

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs Container(
  StringPiece x
)

Attrs SharedName(
  StringPiece x
)