clika_runtime.nn.functional
Functional interface to the neural-network operators::
import clika_runtime.nn.functional as F
y = F.relu(x)
p = F.softmax(y, dim=-1)
Use these when a computation has no state worth holding in a
:class:~clika_runtime.nn.Module: activations, padding, pooling,
normalization, losses, attention. Every function takes its input tensor
first and returns a new tensor; a trailing-underscore twin (F.relu_)
writes through its input instead of allocating. __all__ lists every
available name.
| Name | Kind |
|---|
| functions | module functions |