TypeError: conv2d() received an invalid combination of arguments

[Zzz730]

Hello.Sorry for troubling you. When I run python train_meta.pycfg/metayolo.data cfg/darknet_dynamic.cfg cfg/reweighting_net.cfg darknet19_448.conv.23,a TypeError occured: TypeError: conv2d() received an invalid combination of arguments - got (Tensor, Parameter, NoneType, tuple, tuple, tuple, int), but expected one of:

• (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, tuple of ints padding, tuple of ints dilation, int groups) didn't match because some of the arguments have invalid types: (Tensor, !Parameter!, !NoneType!, !tuple!, !tuple!, !tuple!, int)
• (Tensor input, Tensor weight, Tensor bias, tuple of ints stride, str padding, tuple of ints dilation, int groups) didn't match because some of the arguments have invalid types: (Tensor, !Parameter!, !NoneType!, !tuple!, !tuple!, !tuple!, int)

[ataftaf]

Hello, Did you manage to fix it? I am facing the same problem :( Thanks,

[gusdhg]

Hello，I met the same problem，did you fix it？

[mmtmmt2]

hello,i also met the problem

[zhanjunyao]

hello, the same problem, how to solve?

[HeuristicLU]

change darknet_meta.py
226 to: pad = (kernel_size-1)//2 if is_pad else 0 This will work successfully.

[GgJbMy0320]

I changed pad=(kernel_size-1)/2 to pad=int((kernel_size-1)/2) if is_pad else 0