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>>
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

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
Operation
op()
Return this unit of computation as a single Operation.
final String
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()
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.
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`.