Torch jit script method bugs: expected a value of type Tensor for argument 'self' but found Tensor[]

jit
1

I’m trying to code up a module from jit.ScriptModule that looks like this:

class Model(jit.ScriptModule):
    def __init__(self, size):
        super().__init__()
        self.rnn = nn.GRUCell(size, size)

    @jit.script_method
    def forward(self, hidden, inputs):
        something = [torch.empty(0)] * 10
        return self.rnn(inputs, hidden)

however, it triggers the following errors:
RuntimeError:
arguments for call are not valid:

for operator aten::mul(Tensor self, Tensor other) -> Tensor:
expected a value of type Tensor for argument ‘self’ but found Tensor[]

I found the reason is that list comp is not available it jit, is there any fix?