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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 ...

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output < TFloat32 >
asOutput ()
Returns the symbolic handle of the tensor.
static TensorArraySplit
create ( Scope scope, Operand <?> handle, Operand <? extends TType > value, Operand < TInt64 > lengths, Operand < TFloat32 > flowIn)
Factory method to create a class wrapping a new TensorArraySplit operation.
Output < TFloat32 >
flowOut ()
A float scalar that enforces proper chaining of operations.

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "TensorArraySplitV3"

Public Methods

public Output < TFloat32 > asOutput ()

Returns the symbolic handle of the 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 <? extends TType > value, Operand < TInt64 > lengths, Operand < TFloat32 > 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 < TFloat32 > flowOut ()

A float scalar that enforces proper chaining of operations.