ScaleLinear

class lightning_ir.models.t5_cross_encoder.ScaleLinear(in_features: int, out_features: int, bias: bool = True, device=None, dtype=None)

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_features
out_features
weight
training

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

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 Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.