tensorflow:: ops:: Barrier

Defines a barrier that persists across different graph executions.

Summary

A barrier represents a key-value map, where each key is a string, and each value is a tuple of tensors.

At runtime, the barrier contains 'complete' and 'incomplete' elements. A complete element has defined tensors for all components of its value tuple, and may be accessed using BarrierTakeMany . An incomplete element has some undefined components in its value tuple, and may be updated using BarrierInsertMany .

Args:

• scope: A Scope object
• component_types: The type of each component in a value.

Optional attributes (see Attrs ):

• shapes: The shape of each component in a value. Each shape must be 1 in the first dimension. The length of this attr must be the same as the length of component_types.
• capacity: The capacity of the barrier. The default capacity is MAX_INT32, which is the largest capacity of the underlying queue.
• container: If non-empty, this barrier is placed in the given container. Otherwise, a default container is used.
• shared_name: If non-empty, this barrier will be shared under the given name across multiple sessions.

Returns:

• Output : The handle to the barrier.

Public attributes

::tensorflow::Output handle

Operation operation

Public functions

 Barrier(
  const ::tensorflow::Scope & scope,
  const DataTypeSlice & component_types
)

 Barrier(
  const ::tensorflow::Scope & scope,
  const DataTypeSlice & component_types,
  const Barrier::Attrs & attrs
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const 

Public static functions

Attrs Capacity(
  int64 x
)

Attrs Container(
  StringPiece x
)

Attrs Shapes(
  const gtl::ArraySlice< PartialTensorShape > & x
)

Attrs SharedName(
  StringPiece x
)