qfnn.qf_net.p_lyr module

class qfnn.qf_net.p_lyr.P_LYR(in_features: int, out_features: int, bias: bool = True, device=None, dtype=None)

Bases: torch.nn.modules.linear.Linear

do_slp_via_th(input_ori, w_ori)

forward(input, training=True)

Defines 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.

in_features: int

out_features: int

reset_parameters()

weight: torch.Tensor

qfnn.qf_net.p_lyr.binarize()

qfnn.qf_net.p_lyr.clipfunc()