Nam Le
Nam Le
Hi all, @MagicalPotato0001 @egSat I think it's about your Pytorch version, if you use 2.0.0, maybe modify arg local_rank to local-rank in train.py, like this: ```py parser.add_argument('--sync-bn', action='store_true', help='use SyncBatchNorm,...
Hi @nahidalam my env configuration is based on the provided requirements.txt of this repo. It uses pytorch 2.0  I think this issuse ocurrs due the version of pytorch 2.x...
@nahidalam Sorry for late, I was very busy yesterday. Here's my requirements.txt [requirements.txt](https://github.com/WongKinYiu/yolov7/files/12640692/requirements.txt) As you said about config CUDA Path, for me, I follow some instruction on the Internet as...
I have same problem. Have you solved it?
@lendie I solved the problem by using the smaller dataset. I read https://github.com/thiviyanT/torch-rgcn someday ago and I found this author use a subset of FB15k-237 called FB-toy. And I already...
> > @lendie I solved the problem by using the smaller dataset. I read https://github.com/thiviyanT/torch-rgcn someday ago and I found this author use a subset of FB15k-237 called FB-toy. And...