I have a model which has this operation:
class FuckNet3(nn.Module):

    def __init__(self):
        super(FuckNet3, self).__init__()

        self.welcome_layer = BasicConv(3, 768, 3, 1, 1)
        self.welcome_layer2 = BasicConv(3, 128, 3, 1, 1)

        self.planes = 256
        self.smooth = True
        self.num_scales = 6
        self.num_levels = 8

        self._construct_modules()

    def _construct_modules(self, ):
        # construct tums
        # 8 levels,
        for i in range(8):
            if i == 0:
                setattr(self,
                        'unet{}'.format(i + 1),
                        TUMV2(first_level=True,
                              input_planes=self.planes // 2,
                              is_smooth=self.smooth,
                              scales=self.num_scales,
                              side_channel=512))  # side channel isn't fixed.
            else:
                setattr(self,
                        'unet{}'.format(i + 1),
                        TUMV2(first_level=False,
                              input_planes=self.planes // 2,
                              is_smooth=self.smooth,
                              scales=self.num_scales,
                              side_channel=self.planes))
# this self.leach causes my trace error
        self.leach = nn.ModuleList([BasicConv(
            256+512,
            128,
            kernel_size=(1, 1), stride=(1, 1))] * 8)

    def forward(self, x):
        base_feature = self.welcome_layer(x)

        tum_outs = [getattr(self, 'unet{}'.format(1))(self.leach[0](base_feature), 'none')]

        for i in range(1, self.num_levels, 1):
            tum_outs.append(
                getattr(self, 'unet{}'.format(i + 1))(
                    self.leach[i](base_feature), tum_outs[i - 1][-1]
                )
            )
        return tuple(tum_outs[0])

I got error of:
  File "/home/jintain/.local/lib/python3.6/site-packages/torch/jit/__init__.py", line 1469, in __init__
    check_unique(param)
  File "/home/jintain/.local/lib/python3.6/site-packages/torch/jit/__init__.py", line 1461, in check_unique
    raise ValueError("TracedModules don't support parameter sharing between modules")
ValueError: TracedModules don't support parameter sharing between modules


Does anybody knows How do I solve this problem???
I do not know why it was weights sharing since my module defined in a list and only one module called one time!!
Anybody could solve my problem I will send him a bitcion!