tensorflow:: ops:: TożsamośćN
#include <array_ops.h>Returns a list of tensors with the same shapes and contents as the input.
Streszczenie
tensory.
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]).RegisterGradient('OverrideGradientWithG') def ApplyG(op, dy, _): return [None, g(dy)] # Do not backprop to f(x).
Argumenty:
- zakres: obiekt zakresu
Zwroty:
-
OutputList: tensor wyjściowy.
Konstruktory i destruktory | |
|---|---|
IdentityN (const :: tensorflow::Scope & scope, :: tensorflow::InputList input) |
Atrybuty publiczne | |
|---|---|
operation | |
output | |
Funkcje publiczne | |
|---|---|
operator[] (size_t index) const | |
Atrybuty publiczne
działanie
Operation operation
wyjście
::tensorflow::OutputList output
Funkcje publiczne
TożsamośćN
IdentityN( const ::tensorflow::Scope & scope, ::tensorflow::InputList input )
operator[]
::tensorflow::Output operator[]( size_t index ) const