tensorflow::ops::Stage

#include <data_flow_ops.h>

Stage values similar to a lightweight Enqueue.

Summary

The basic functionality of this Op is similar to a queue with many fewer capabilities and options. This Op is optimized for performance.

Args:

scope: A Scope object
values: a list of tensors dtypes A list of data types that inserted values should adhere to.

Optional attributes (see Attrs):

capacity: Maximum number of elements in the Staging Area. If > 0, inserts on the container will block when the capacity is reached.
memory_limit: The maximum number of bytes allowed for Tensors in the Staging Area. If > 0, inserts will block until sufficient space is available.
container: If non-empty, this queue is placed in the given container. Otherwise, a default container is used.
shared_name: It is necessary to match this name to the matching Unstage Op.

Returns:

Constructors and Destructors
`Stage(const ::tensorflow::Scope & scope, ::tensorflow::InputList values)`
`Stage(const ::tensorflow::Scope & scope, ::tensorflow::InputList values, const Stage::Attrs & attrs)`

Public attributes
`operation`	`Operation`

Public functions
`operator::tensorflow::Operation() const`

Structs
tensorflow::ops::Stage::Attrs	Optional attribute setters for Stage.

Operation operation

 Stage(
  const ::tensorflow::Scope & scope,
  ::tensorflow::InputList values
)

 Stage(
  const ::tensorflow::Scope & scope,
  ::tensorflow::InputList values,
  const Stage::Attrs & attrs
)

 operator::tensorflow::Operation() const

Attrs Capacity(
  int64 x
)

Attrs Container(
  StringPiece x
)

Attrs MemoryLimit(
  int64 x
)

Attrs SharedName(
  StringPiece x
)