Context-manager that disabled gradient calculation.
Disabling gradient calculation is useful for inference, when you are sure that you will not call
Tensor.backward(). It will reduce memory consumption for computations that would otherwise have requires_grad=True.
In this mode, the result of every computation will have requires_grad=False, even when the inputs have requires_grad=True.
This mode has no effect when using
enable_gradcontext manager .
This context manager is thread local; it will not affect computation in other threads.
Also functions as a decorator. (Make sure to instantiate with parenthesis.)
>>> x = torch.tensor(, requires_grad=True) >>> with torch.no_grad(): ... y = x * 2 >>> y.requires_grad False >>> @torch.no_grad() ... def doubler(x): ... return x * 2 >>> z = doubler(x) >>> z.requires_grad False