ScaleLinear
- class lightning_ir.models.mono.ScaleLinear(in_features: int, out_features: int, bias: bool = True, device=None, dtype=None)[source]
Bases:
Linear- __init__(in_features: int, out_features: int, bias: bool = True, device=None, dtype=None) None
Initialize internal Module state, shared by both nn.Module and ScriptModule.
Methods
forward(input)Define the computation performed at every call.
Attributes
in_featuresout_featuresweighttraining- extra_repr() str
Return the extra representation of the module.
To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line strings are acceptable.
- forward(input: Tensor) Tensor[source]
Define the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Moduleinstance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.