for key in ['met','params','layers']: assert key in mcn.keys()

[YNX940214]

I am new in DeepLearning and trying to convert a pre-trained net from matconvnet to pytorch.
The matconvnet version is 1.0-beta13, i re-saved it in matlab with -v7.
When i run the script it says:
"for key in ['meta','params','layers']: assert key in mcn.keys()" in "...../pytorch-mcn/python/importer.py", line 49, in load_mcn_net

Can anyone teach how to use the lib?
The list of example net is a list of complicated models like "vgg,Alex..." ,but i only need to convert a simple net with only conv and relu and concat.
I download the pre-trained model here
https://github.com/Yijunmaverick/DeepJointFilter/tree/master/examples/Test/Upsampling_8x.mat

[d2sys]

@albanie, can you please share the versions of the libs you are using? scipy and etc.
EDIT:
Ok I managed out how to fix it:
replace lines 49-54 with this line:
mcn_net=pmu.parse_struct(mcn['netStruct'])
in the file importer.py

[Lkn1995]

I replace lines 49-54 with this line:
mcn_net=pmu.parse_struct(mcn['netStruct'])
When i run the script it says:
KeyError:'netStruct'
Can anyone teach how to solve it?

[suyanzhou626]

I replace lines 49-54 with this line:
mcn_net=pmu.parse_struct(mcn['net'])
it's ok.