Split

public final class Split

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> Split<T>	create(Scope scope, Operand<TInt32> axis, Operand<T> value, Long numSplit) Factory method to create a class wrapping a new Split operation.
Iterator<Operand<T>>	iterator()
List<Output<T>>	output() They are identically shaped tensors, whose shape matches that of `value` except along `axis`, where their sizes are `values.shape[split_dim] / num_split`.

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: "Split"

Public Methods

public static Split<T> create (Scope scope, Operand<TInt32> axis, Operand<T> value, Long numSplit)

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

Parameters

scope	current scope
axis	0-D. The dimension along which to split. Must be in the range `[-rank(value), rank(value))`.
value	The tensor to split.
numSplit	The number of ways to split. Must evenly divide `value.shape[split_dim]`.

Returns

a new instance of Split

public Iterator<Operand<T>> iterator ()

public List<Output<T>> output ()

They are identically shaped tensors, whose shape matches that of `value` except along `axis`, where their sizes are `values.shape[split_dim] / num_split`.