text: class QuickGELU(Module):
    __parameters__ = []
    __buffers__ = []
    training : bool
    def forward(self: __torch__.multimodal.model.multimodal_transformer.___torch_mangle_9510.QuickGELU,
      argument_1: Tensor) -> Tensor:
      _0 = torch.sigmoid(torch.mul(argument_1, CONSTANTS.c2))
      return torch.mul(argument_1, _0)
    def forward1(self: __torch__.multimodal.model.multimodal_transformer.___torch_mangle_9510.QuickGELU,
      argument_1: Tensor) -> Tensor:
      _1 = torch.sigmoid(torch.mul(argument_1, CONSTANTS.c2))
      return torch.mul(argument_1, _1)
  