tensorflow::ops::TensorArray

#include <data_flow_ops.h>

An array of Tensors of given size.

Summary

Write data via Write and read via Read or Pack.

Arguments:

• scope: A Scope object
• size: The size of the array.
• dtype: The type of the elements on the tensor_array.

Optional attributes (see Attrs):

• element_shape: The expected shape of an element, if known. Used to validate the shapes of TensorArray elements. If this shape is not fully specified, gathering zero-size TensorArrays is an error.
• dynamic_size: A boolean that determines whether writes to the TensorArray are allowed to grow the size. By default, this is not allowed.
• clear_after_read: If true (default), Tensors in the TensorArray are cleared after being read. This disables multiple read semantics but allows early release of memory.
• tensor_array_name: Overrides the name used for the temporary tensor_array resource. Default value is the name of the 'TensorArray' op (which is guaranteed unique).

Returns:

• Output handle: The handle to the TensorArray.
• Output flow: A scalar used to control gradient flow.

Public attributes

::tensorflow::Output flow

::tensorflow::Output handle

Public functions

 TensorArray(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input size,
  DataType dtype
)

 TensorArray(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input size,
  DataType dtype,
  const TensorArray::Attrs & attrs
)

Public static functions

Attrs ClearAfterRead(
  bool x
)

Attrs DynamicSize(
  bool x
)

Attrs ElementShape(
  PartialTensorShape x
)

Attrs TensorArrayName(
  StringPiece x
)