SplitV

public final class SplitV

Splits a tensor into `num_split` tensors along one dimension.

Constants

String

OP_NAME

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

Public Methods

static <T extends TType> SplitV<T>	create(Scope scope, Operand<T> value, Operand<? extends TNumber> sizeSplits, Operand<TInt32> axis, Long numSplit) Factory method to create a class wrapping a new SplitV operation.
Iterator<Operand<T>>	iterator()
List<Output<T>>	output() Tensors whose shape matches that of `value` except along `axis`, where their sizes are `size_splits[i]`.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface java.lang.Iterable

abstract void	forEach(Consumer<? super T> arg0)
abstract Iterator<Operand<T>>	iterator()
abstract Spliterator<Operand<T>>	spliterator()

Constants

public static final String OP_NAME

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

Constant Value: "SplitV"

Public Methods

public static SplitV<T> create (Scope scope, Operand<T> value, Operand<? extends TNumber> sizeSplits, Operand<TInt32> axis, Long numSplit)

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

Parameters

scope	current scope
value	The tensor to split.
sizeSplits	list containing the sizes of each output tensor along the split dimension. Must sum to the dimension of value along split_dim. Can contain one -1 indicating that dimension is to be inferred.
axis	0-D. The dimension along which to split. Must be in the range `[-rank(value), rank(value))`.

Returns

• a new instance of SplitV

public Iterator<Operand<T>> iterator ()

public List<Output<T>> output ()

Tensors whose shape matches that of `value` except along `axis`, where their sizes are `size_splits[i]`.