Hi. I’m new to this forum, so I hope I’m making myself clear enough 
. I’m working on a project using pytorch 1.4.0 and I’m getting an error while trying to merge two ModelDict instances. According to the documentation of torch.nn.ModelDict, a ModelDict object can be appended to another one using the update() function. I tried this with the following code:
model1 = torch.nn.ModuleDict(OrderedDict([
('conv1', torch.nn.Conv2d(1,20,5)),
('relu1', torch.nn.ReLU())]))
model2 = torch.nn.ModuleDict(OrderedDict([
('conv1', torch.nn.Conv2d(1,20,5)),
('relu1', torch.nn.ReLU())]))
model1.update(model2)
but this gives the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-157-967ebf8b86d0> in <module>
10 print(type(model2))
11
---> 12 model1.update(model2)
c:\python36\envs\modern_pointcn\lib\site-packages\torch\nn\modules\container.py in update(self, modules)
348 raise ValueError("ModuleDict update sequence element "
349 "#" + str(j) + " has length " + str(len(m)) +
--> 350 "; 2 is required")
351 self[m[0]] = m[1]
352
ValueError: ModuleDict update sequence element #0 has length 5; 2 is required
by looking into the source code, it seems a torch.nn.ModelDict is not recognized as a Mapping. Is this a bug? If not, how can I append two ModelDict instances?