TypeError: '<' not supported between instances of 'NoneType' and 'str'

[flukefer1243]

hi, I need to convert model VGG_FACEt.7 (This model, I download form this link: https://www.robots.ox.ac.uk/~vgg/software/vgg_face/) to Pytorch model. When I run command "python convert_torch.py -m VGGFACE.t7", I obtain the error follow as below.

---

Traceback (most recent call last):
File "convert_torch.py", line 314, in
torch_to_pytorch(args.model,args.output)
File "convert_torch.py", line 259, in torch_to_pytorch
model = load_lua(t7_filename,unknown_classes=True)
File "C:\Users\User\anaconda3\envs\env_pytorch\lib\site-packages\torch\utils\serialization\read_lua_file.py", line 608, in load_lua
return reader.read()
File "C:\Users\User\anaconda3\envs\env_pytorch\lib\site-packages\torch\utils\serialization\read_lua_file.py", line 593, in read
return self.read_object()
File "C:\Users\User\anaconda3\envs\env_pytorch\lib\site-packages\torch\utils\serialization\read_lua_file.py", line 523, in wrapper
result = fn(self, *args, **kwargs)
File "C:\Users\User\anaconda3\envs\env_pytorch\lib\site-packages\torch\utils\serialization\read_lua_file.py", line 546, in read_object
return reader_registry[cls_name](self, version)
File "C:\Users\User\anaconda3\envs\env_pytorch\lib\site-packages\torch\utils\serialization\read_lua_file.py", line 245, in read_nn_class
_load_backend(obj)
File "C:\Users\User\anaconda3\envs\env_pytorch\lib\site-packages\torch\utils\serialization\read_lua_file.py", line 220, in _load_backend
for key in dir(obj):
TypeError: '<' not supported between instances of 'NoneType' and 'str'

---

[10peta-cat]

I encounted the same problem too.
To solve this, you need to edit convert_torch.py two times.
First, to solve TypeError: '<' not supported between instances of 'NoneType' and 'str', change line 261 like this:

model = load_lua(t7_filename,unknown_classes=True,long_size=8)

After that, you may encount RuntimeError: The expanded size of the tensor (3) must match the existing size (27) at non-singleton dimension 3.
Then, change line 44 like this:

if m.weight is not None: 
        m.weight.data = m.weight.view(n.weight.size())
        n.weight.data.copy_(m.weight)

This solution is based on here:
pytorch/pytorch#9816
#35

[Aelisa]

you are right!THANKS！！！