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])

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

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

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "IdentityN"

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 < TType >> iterator ()

public List< Output <?>> output ()