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

TensorArrayScatter

public final class TensorArrayScatter

Scatter the data from the input value into specific TensorArray elements.

`indices` must be a vector, its length must match the first dim of `value`.

Public Methods

Output <Float>
asOutput ()
Returns the symbolic handle of a tensor.
static <T> TensorArrayScatter
create ( Scope scope, Operand <?> handle, Operand <Integer> indices, Operand <T> value, Operand <Float> flowIn)
Factory method to create a class wrapping a new TensorArrayScatter operation.
Output <Float>
flowOut ()
A float scalar that enforces proper chaining of operations.

Inherited Methods

Public Methods

public Output <Float> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static TensorArrayScatter create ( Scope scope, Operand <?> handle, Operand <Integer> indices, Operand <T> value, Operand <Float> flowIn)

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

Parameters
scope current scope
handle The handle to a TensorArray.
indices The locations at which to write the tensor elements.
value The concatenated tensor to write to the TensorArray.
flowIn A float scalar that enforces proper chaining of operations.
Returns
  • a new instance of TensorArrayScatter

public Output <Float> flowOut ()

A float scalar that enforces proper chaining of operations.