import torch
import torch.nn as nn

class CustomModule(nn.Module):
    def __init__(self):
        super().__init__()
        self.weight = nn.Parameter(torch.randn(1))

    def __setattr__(self, name, value):
        super().__setattr__(name, value)

module = CustomModule()

# Method 1: Direct assignment
module.bias1 = nn.Parameter(torch.zeros(1))

# Method 2: Using setattr
setattr(module, 'bias2', nn.Parameter(torch.zeros(1)))

# Method 3: Using object.__setattr__ bias3 won't be registered as a parameter
object.__setattr__(module, 'bias3', nn.Parameter(torch.zeros(1)))

print("Registered parameters:", module._parameters.keys()) # => ['weight', 'bias1', 'bias2']