Open durianer-D opened 3 years ago
The same problem
Excuse me, I have the following problem when running your model:
TypeError: EncoderDecoder: SwinTransformer: init() got an unexpected keyword argument 'embed_dim'
The command I use is : python tools/train.py configs/swin/upernet_swin_tiny_patch4_window7_512x512_160k_ade20k.py
I hope I can get your help
Hi, I met the same problem with tools/train.py
. I changed to use multiple-GPU training tools/dist_train.sh
, then it works without this error.
Excuse me, I have the following problem when running your model: TypeError: EncoderDecoder: SwinTransformer: init() got an unexpected keyword argument 'embed_dim' The command I use is : python tools/train.py configs/swin/upernet_swin_tiny_patch4_window7_512x512_160k_ade20k.py I hope I can get your help
Hi, I met the same problem with
tools/train.py
. I changed to use multiple-GPU trainingtools/dist_train.sh
, then it works without this error.
Thanks for your answer!But I only have one GPU.
Happened to me also :)
Has anyone solved the problem
OMG, is there anyone solve this problem
You should use the mmseg lib in this repo. I guess you are using the global mmseg lib. and also I installed mmcv-full==1.3.0 version.
I only have one GPU.Has anyone solved the problem? i need help
I only have one GPU.Has anyone solved the problem? i need help
@ChouCHou-y Did you try my solution? (https://github.com/SwinTransformer/Swin-Transformer-Semantic-Segmentation/issues/40#issuecomment-976982507)
Sorry. If I installed mmcv-full==1.3.0 version,it also the following error,and to this day I have not found the key factors that contributed to it. TypeError: EncoderDecoder: SwinTransformer: init() got an unexpected keyword argument 'embed_dim'
Hi, How to exactly go about changing the embed_dim into embed_dims. Do I change the files that is in the "base" under config.py? Need asap. Thank You
same here.
Excuse me, I have the following problem when running your model:
TypeError: EncoderDecoder: SwinTransformer: init() got an unexpected keyword argument 'embed_dim'
The command I use is : python tools/train.py configs/swin/upernet_swin_tiny_patch4_window7_512x512_160k_ade20k.py
I hope I can get your help