TensorArraySplit

public final class TensorArraySplit

Split the data from the input value into TensorArray elements.

Assuming that `lengths` takes on values 

(n0, n1, ..., n(T-1))
and that `value` has shape 

(n0 + n1 + ... + n(T-1) x d0 x d1 x ...),
this splits values into a TensorArray with T tensors.

TensorArray index t will be the subtensor of values with starting position 

(n0 + n1 + ... + n(t-1), 0, 0, ...)
and having size 

nt x d0 x d1 x ...

Public Methods

Output<Float>
asOutput()
Returns the symbolic handle of a tensor.
static <T> TensorArraySplit
create(Scope scope, Operand<?> handle, Operand<T> value, Operand<Long> lengths, Operand<Float> flowIn)
Factory method to create a class wrapping a new TensorArraySplit 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 TensorArraySplit create (Scope scope, Operand<?> handle, Operand<T> value, Operand<Long> lengths, Operand<Float> flowIn)

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

Parameters
scope current scope
handle The handle to a TensorArray.
value The concatenated tensor to write to the TensorArray.
lengths The vector of lengths, how to split the rows of value into the TensorArray.
flowIn A float scalar that enforces proper chaining of operations.
Returns
  • a new instance of TensorArraySplit

public Output<Float> flowOut ()

A float scalar that enforces proper chaining of operations.