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

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
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()
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 ()