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 | |
| Iterator<Operand<Object>> |
iterator()
|
| List<Output<?>> |
output()
|
Inherited Methods
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