IdentityN

public final class IdentityN

Returns a list of tensors with the same shapes and contents as the input

tensors.

This op can be used to override the gradient for complicated functions. For example, suppose y = f(x) and we wish to apply a custom function g for backprop such that dx = g(dy). In Python,

{@code
 with tf.get_default_graph().gradient_override_map(
     {'IdentityN': 'OverrideGradientWithG'}):
   y, _ = identity_n([f(x), x])

Public Methods

static IdentityN	create(Scope scope, Iterable<Operand<?>> input) Factory method to create a class wrapping a new IdentityN operation.
Iterator<Operand<Object>>	iterator()
List<Output<?>>	output()

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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 java.lang.Iterable

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

Public Methods

public static IdentityN create (Scope scope, Iterable<Operand<?>> input)

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

Parameters

scope	current scope

Returns

• a new instance of IdentityN

public Iterator<Operand<Object>> iterator ()

public List<Output<?>> output ()