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enuSpace-tensorflow Manual

BarrierTakeMany

tensorflow C++ API

tensorflow::ops::BarrierTakeMany

Takes the given number of completed elements from a barrier.

Summary

This operation concatenates completed-element component tensors along the 0th dimension to make a single component tensor.

Elements come out of the barrier when they are complete, and in the order in which they were placed into the barrier. The indices output provides information about the batch in which each element was originally inserted into the barrier.

Arguments:

  • scope: A Scope object
  • handle: The handle to a barrier.
  • num_elements: A single-element tensor containing the number of elements to take.
  • component_types: The type of each component in a value.

Optional attributes (seeAttrs):

  • allow_small_batch: Allow to return less than num_elements items if barrier is already closed.
  • timeout_ms: If the queue is empty, this operation will block for up to timeout_ms milliseconds. Note: This option is not supported yet.

Returns:

  • Outputindices: A one-dimensional tensor of indices, with length num_elems. These indices refer to the batch in which the values were placed into the barrier (starting with MIN_LONG and increasing with each BarrierInsertMany).
  • Outputkeys: A one-dimensional tensor of keys, with length num_elements.
  • OutputListvalues: One any-dimensional tensor per component in a barrier element.All values have length num_elements in the 0th dimension.

Constructor

  • BarrierTakeMany(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input num_elements, const DataTypeSlice & component_types, const BarrierTakeMany::Attrs & attrs).

Public attributes

  • tensorflow::Output indices.
  • tensorflow::Output keys.
  • tensorflow::OutputList values.

BarrierTakeMany block

Source link : https://github.com/EXPNUNI/enuSpace-Tensorflow/blob/master/enuSpaceTensorflow/tf_data_flow_ops.cpp

Argument:

  • Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
  • Input handle : connect Input node.
  • Input num_elements: connect Input node.
  • Input component_types: connect Input node.

Return:

  • Output indices : Output object of BarrierTakeMany class object.
  • Output keys : Output object of BarrierTakeMany class object.
  • OutputList values: OutputList object of BarrierTakeMany class object.

Result:

  • std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method