Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

TensorArray

public final class TensorArray

An array of Tensors of given size.

Write data via Write and read via Read or Pack.

class TensorArray.Options Optional attributes for TensorArray

static TensorArray.Options	clearAfterRead(Boolean clearAfterRead)
static <T> TensorArray	create(Scope scope, Operand<Integer> size, Class<T> dtype, Options... options) Factory method to create a class wrapping a new TensorArray operation.
static TensorArray.Options	dynamicSize(Boolean dynamicSize)
static TensorArray.Options	elementShape(Shape elementShape)
Output<Float>	flow() A scalar used to control gradient flow.
Output<?>	handle() The handle to the TensorArray.
static TensorArray.Options	identicalElementShapes(Boolean identicalElementShapes)
static TensorArray.Options	tensorArrayName(String tensorArrayName)

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying `Operation`
final String	toString()

From class java.lang.Object

Public Methods

clearAfterRead	If true (default), Tensors in the TensorArray are cleared after being read. This disables multiple read semantics but allows early release of memory.

Factory method to create a class wrapping a new TensorArray operation.

scope	current scope
size	The size of the array.
dtype	The type of the elements on the tensor_array.
options	carries optional attributes values

dynamicSize	A boolean that determines whether writes to the TensorArray are allowed to grow the size. By default, this is not allowed.

elementShape	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.

A scalar used to control gradient flow.

The handle to the TensorArray.

identicalElementShapes	If true (default is false), then all elements in the TensorArray will be expected to have identical shapes. This allows certain behaviors, like dynamically checking for consistent shapes on write, and being able to fill in properly shaped zero tensors on stack -- even if the element_shape attribute is not fully defined.

tensorArrayName	Overrides the name used for the temporary tensor_array resource. Default value is the name of the 'TensorArray' op (which is guaranteed unique).