class Param(nn.Module):
    def __init__(self):
        super(Param, self).__init__()
        self.params = nn.ParameterList([nn.Parameter(torch.randn(10, 10)) for i in range(10)])

    def forward(self, x):
        # ParameterList can act as an iterable, or be indexed using ints
        sz = len(self.params)
        for i in range(sz):
            p = self.params[i]
            x = self.params[i // 2].mm(x) + p.mm(x)
        return x

m = torch.jit.script(Param())

    def create_methods_and_properties_from_stubs(concrete_type, method_stubs, property_stubs):
        method_defs = [m.def_ for m in method_stubs]
        method_rcbs = [m.resolution_callback for m in method_stubs]
        method_defaults = [get_default_args(m.original_method) for m in method_stubs]

        property_defs = [p.def_ for p in property_stubs]
        property_rcbs = [p.resolution_callback for p in property_stubs]

>       concrete_type._create_methods_and_properties(property_defs, property_rcbs, method_defs, method_rcbs, method_defaults)
E       RuntimeError:
E       Tried to access nonexistent attribute or method '__len__' of type '__torch__.torch.nn.modules.container.ParameterList'. Did you forget to initialize an attribute in __init__()?:
E         File "/home/guilhermel/git/pytorch/test/test_jit.py", line 848
E                       # ParameterList can act as an iterable, or be indexed using ints
E                       sz = len(self.params)
E                            ~~~ <--- HERE
E                       for i in range(sz):
E                           p = self.params[i]

    def create_methods_and_properties_from_stubs(concrete_type, method_stubs, property_stubs):
        method_defs = [m.def_ for m in method_stubs]
        method_rcbs = [m.resolution_callback for m in method_stubs]
        method_defaults = [get_default_args(m.original_method) for m in method_stubs]

        property_defs = [p.def_ for p in property_stubs]
        property_rcbs = [p.resolution_callback for p in property_stubs]

>       concrete_type._create_methods_and_properties(property_defs, property_rcbs, method_defs, method_rcbs, method_defaults)
E       RuntimeError:
E       Only constant Sequential, ModueList, or ModuleDict can be used as an iterable:
E         File "/home/guilhermel/git/pytorch/test/test_jit.py", line 847
E                   def forward(self, x):
E                       # ParameterList can act as an iterable, or be indexed using ints
E                       for p in self.params:
E                       ~~~~~~~~~~~~~~~~~~~~~
E                           x = p.mm(x)
E                           ~~~~~~~~~~ <--- HERE

================================================================== test session starts ==================================================================
platform linux -- Python 3.9.1, pytest-6.2.1, py-1.10.0, pluggy-0.13.1 -- /home/guilhermel/.conda/envs/pytorch-cuda-dev/bin/python
cachedir: .pytest_cache
hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/home/guilhermel/pytorch/.hypothesis/examples')
rootdir: /home/guilhermel/pytorch
plugins: hypothesis-6.0.0
collected 2054 items / 2051 deselected / 3 selected

test/test_nn.py::TestNN::test_ParameterList PASSED                                                                                                [ 33%]
test/test_nn.py::TestNN::test_parameterlistdict_pickle PASSED                                                                                     [ 66%]
test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes PASSED                                                                         [100%]