script error

[wyh163]

Traceback (most recent call last):
File "train.py", line 151, in
train()
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 981, in call
self.process()
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 971, in process
self.processVal(smoke=True)
File "train.py", line 124, in processVal
self.saveState(self.getTime())
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 889, in saveState
self.exportTorchViaScript(output_script_file)
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 504, in exportTorchViaScript
save_model.saveByInputOrNot()
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 135, in saveByInputOrNot
self.export(input_sample)
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 131, in export
self._export(input_sample)
File "/opt/conda/lib/python3.8/site-packages/deepvac/syszux_deepvac.py", line 167, in _export
self.ts = torch.jit.script(self.input_net).eval()
File "/opt/conda/lib/python3.8/site-packages/torch/jit/_script.py", line 937, in script
return torch.jit._recursive.create_script_module(
File "/opt/conda/lib/python3.8/site-packages/torch/jit/_recursive.py", line 384, in create_script_module
return create_script_module_impl(nn_module, concrete_type, stubs_fn)
File "/opt/conda/lib/python3.8/site-packages/torch/jit/_recursive.py", line 445, in create_script_module_impl
create_methods_and_properties_from_stubs(concrete_type, method_stubs, property_stubs)
File "/opt/conda/lib/python3.8/site-packages/torch/jit/_recursive.py", line 328, in create_methods_and_properties_from_stubs
concrete_type._create_methods_and_properties(property_defs, property_rcbs, method_defs, method_rcbs, method_defaults)
RuntimeError:

forward(torch.deepvac.syszux_modules.FPN self, Tensor input) -> (Tensor[]):
Expected a value of type 'Tensor (inferred)' for argument 'input' but instead found type 'List[Tensor]'.
Inferred 'input' to be of type 'Tensor' because it was not annotated with an explicit type.
Empty lists default to List[Tensor]. Add a variable annotation to the assignment to create an empty list of another type (torch.jit.annotate(List[T, []]) where T is the type of elements in the list for Python 2)
:
File "/gemfield/hostpv/wangyuhang/github/RetinaFace/modules/model.py", line 101
out = self.body(inputs)
# FPN
fpn = self.fpn(out)
~~~~~~~~ <--- HERE

    # SSH