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,

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

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