Open lyb18758 opened 4 months ago
lacayqwq
commented
4 months ago Apologies for the misnaming error; in actuality, config_test.yaml is indeed the configuration file we will ultimately be using, and we will rectify this in a forthcoming update. We will promptly investigate and endeavor to rectify the bug you encounter, be it a code error. Thank you for your attention.
zengyangzang
commented
3 months ago Looking forward to the update！I encountered the same bug
lacayqwq
commented
3 months ago I'm very sorry for not responding sooner. Could you please share your environment list with me, especially the version of jsonargparse? This would be really helpful for me in resolving this issue. Thank you!
----- 原始邮件 ----- 发件人: "zengyangzang" @.> 收件人: "SJTU-DeepVisionLab/PosFormer" @.> 抄送: "Chengyu Lin" @.>, "Comment" @.> 发送时间: 星期三, 2024年 8 月 14日 下午 8:47:01 主题: Re: [SJTU-DeepVisionLab/PosFormer] config.yaml文件与一些bug (Issue #2)
Looking forward to the update！I encountered the same bug
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lyb18758
commented
3 months ago 感谢回复，这是服务器的环境 absl-py 2.1.0 aiohttp 3.8.6 aiosignal 1.3.1 async-timeout 4.0.3 asynctest 0.13.0 attrs 23.2.0 cachetools 5.4.0 certifi 2022.12.7 charset-normalizer 3.3.2 einops 0.6.1 fire 0.6.0 frozenlist 1.3.3 fsspec 2023.1.0 future 1.0.0 google-auth 2.32.0 google-auth-oauthlib 0.4.6 grpcio 1.62.2 idna 3.7 importlib-metadata 6.7.0 jsonargparse 4.32.0 lightning-lite 1.8.0 lightning-utilities 0.3.0 Markdown 3.4.4 MarkupSafe 2.1.5 multidict 6.0.5 numpy 1.21.6 nvidia-cublas-cu11 11.10.3.66 nvidia-cuda-nvrtc-cu11 11.7.99 nvidia-cuda-runtime-cu11 11.7.99 nvidia-cudnn-cu11 8.5.0.96 oauthlib 3.2.2 opencv-python 4.10.0.84 packaging 24.0 pandoc 2.3 Pillow 9.5.0 pip 22.3.1 plumbum 1.8.3 ply 3.11 protobuf 3.20.3 pyasn1 0.5.1 pyasn1-modules 0.3.0 pyDeprecate 0.3.1 pytorch-lightning 1.4.0 PyYAML 6.0.1 requests 2.31.0 requests-oauthlib 2.0.0 rsa 4.9 setuptools 65.6.3 six 1.16.0 tensorboard 2.11.2 tensorboard-data-server 0.6.1 tensorboard-plugin-wit 1.8.1 termcolor 2.3.0 torch 1.13.1 torchmetrics 0.5.0 torchvision 0.14.1 tqdm 4.66.4 typing_extensions 4.7.1 urllib3 1.26.15 vision 1.0.0 Werkzeug 2.2.3 wheel 0.38.4 yarl 1.9.4 zipp 3.15.0
lacayqwq
commented
3 months ago Thank you for your message. It seems that there are some differences between our experimental environment and yours (pytorch-lightning==1.4.9, jsonargparse==3.17.0). As you may know, these are frameworks that update frequently and often have limited backward compatibility. You can try modifying your environment configuration, or simply update line 29 in train.py to:
trainer_defaults={"plugins": {"class_path": "pytorch_lightning.plugins.DDPPlugin", "init_args": {"find_unused_parameters": True}}}I cannot guarantee that this will completely resolve your issue.
lacayqwq
commented
3 months ago A feasible list of environments：
Package Version
------------------------------ --------------------
absl-py 1.1.0
aiohttp 3.9.1
aiosignal 1.3.1
anyio 3.6.1
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
asttokens 2.0.5
async-timeout 4.0.3
attrs 21.4.0
Babel 2.10.3
backcall 0.2.0
beautifulsoup4 4.11.1
bleach 5.0.0
boltons 23.1.1
brotlipy 0.7.0
cachetools 5.2.0
certifi 2023.11.17
cffi 1.14.6
chardet 4.0.0
click 8.1.7
conda 23.5.2
conda-package-handling 1.7.3
cryptography 3.4.7
cycler 0.11.0
debugpy 1.6.0
decorator 5.1.1
defusedxml 0.7.1
einops 0.3.0
entrypoints 0.4
executing 0.8.3
fastjsonschema 2.15.3
fonttools 4.33.3
frozenlist 1.4.0
fsspec 2023.12.2
future 0.18.3
google-auth 2.8.0
google-auth-oauthlib 0.4.6
grpcio 1.46.3
idna 2.10
importlib-metadata 4.11.4
importlib-resources 5.8.0
ipykernel 6.15.0
ipython 8.4.0
ipython-genutils 0.2.0
ipywidgets 7.7.0
jedi 0.18.1
Jinja2 3.1.2
json5 0.9.8
jsonargparse 3.17.0
jsonpatch 1.33
jsonpointer 2.4
jsonschema 4.6.0
jupyter-client 7.3.4
jupyter-core 4.10.0
jupyter-server 1.17.1
jupyterlab 3.4.3
jupyterlab-language-pack-zh-CN 3.4.post1
jupyterlab-pygments 0.2.2
jupyterlab-server 2.14.0
jupyterlab-widgets 1.1.0
kiwisolver 1.4.3
lightning-utilities 0.10.0
lxml 5.1.0
Markdown 3.3.7
MarkupSafe 2.1.1
matplotlib 3.5.2
matplotlib-inline 0.1.3
mistune 0.8.4
multidict 6.0.4
nbclassic 0.3.7
nbclient 0.6.4
nbconvert 6.5.0
nbformat 5.4.0
nest-asyncio 1.5.5
notebook 6.4.12
notebook-shim 0.1.0
numpy 1.22.4
oauthlib 3.2.0
opencv-python 4.8.1.78
packaging 23.2
pandocfilters 1.5.0
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.1.1
pip 21.1.3
pluggy 1.3.0
plumbum 1.8.2
ply 3.11
prometheus-client 0.14.1
prompt-toolkit 3.0.29
protobuf 3.19.4
psutil 5.9.1
ptyprocess 0.7.0
pure-eval 0.2.2
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycosat 0.6.3
pycparser 2.20
pyDeprecate 0.3.1
Pygments 2.12.0
pyOpenSSL 20.0.1
pyparsing 3.0.9
pyrsistent 0.18.1
PySocks 1.7.1
python-dateutil 2.8.2
pytorch-lightning 1.4.9
pytz 2022.1
PyYAML 6.0.1
pyzmq 23.2.0
requests 2.25.1
requests-oauthlib 1.3.1
rsa 4.8
ruamel-yaml-conda 0.15.100
ruamel.yaml 0.17.10
ruamel.yaml.clib 0.2.2
Send2Trash 1.8.0
setuptools 52.0.0.post20210125
six 1.16.0
sniffio 1.2.0
soupsieve 2.3.2.post1
stack-data 0.3.0
supervisor 4.2.4
tensorboard 2.9.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
terminado 0.15.0
thop 0.1.1.post2403040100
tinycss2 1.1.1
toolz 0.12.0
torch 1.11.0+cu113
torchmetrics 0.6.0
torchvision 0.12.0+cu113
tornado 6.1
tqdm 4.61.2
traitlets 5.3.0
typer 0.9.0
typing-extensions 4.2.0
urllib3 1.26.6
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 1.3.3
Werkzeug 2.1.2
wheel 0.36.2
widgetsnbextension 3.6.0
yarl 1.9.4
zipp 3.8.0
ningyuv
commented
2 weeks ago pytorch-lightning 1.4.9 released at Sep 30, 2021
The version of jsonargparse at that time was 3.19
so
pip install jsonargparse[signatures]==3.19
请问readme中提到训练需要的配置文件config.yaml会公布吗 另一些预训练出现的bug Traceback (most recent call last): File "train.py", line 29, in
trainer_defaults={"plugins": DDPPlugin(find_unused_parameters=True)},
File "/home/lyb/miniconda3/envs/pf/lib/python3.7/site-packages/pytorch_lightning/utilities/cli.py", line 278, in init
self.add_core_arguments_to_parser()
File "/home/lyb/miniconda3/envs/pf/lib/python3.7/site-packages/pytorch_lightning/utilities/cli.py", line 306, in add_core_arguments_to_parser
self.parser.set_defaults(trainer_defaults)
File "/home/lyb/miniconda3/envs/pf/lib/python3.7/site-packages/jsonargparse/_core.py", line 902, in set_defaults
default = action.normalize_default(default)
File "/home/lyb/miniconda3/envs/pf/lib/python3.7/site-packages/jsonargparse/_typehints.py", line 243, in normalize_default
raise ValueError("Subclass types require as default either a dict with class_path or a lazy instance.")
ValueError: Subclass types require as default either a dict with class_path or a lazy instance.
还望解答，谢谢