text: class Linear(Module):
    __parameters__ = ["weight", "bias", ]
    __buffers__ = []
    weight : Tensor
    bias : Tensor
    training : bool
    def forward(self: __torch__.torch.nn.modules.linear.___torch_mangle_9565.Linear,
      argument_1: Tensor) -> Tensor:
      _0 = self.bias
      output = torch.matmul(argument_1.float(), torch.t(self.weight.float()))
      return torch.add_(output, _0, alpha=1)
    def forward1(self: __torch__.torch.nn.modules.linear.___torch_mangle_9565.Linear,
      argument_1: Tensor) -> Tensor:
      _1 = self.bias
      output = torch.matmul(argument_1.float(), torch.t(self.weight.float()))
      return torch.add_(output, _1, alpha=1)
  