请问mmcv、mmdet、mmengine需要的版本各是多少？

[ggxxer]

感谢您的工作，我在尝试跑通您的代码，但是在我使用自己预训练的模型进行微调时，遇到了上述几个库之间版本不兼容的报错，后续查阅资料，下载了兼容的版本：
mmcv 2.0.0rc4 https://github.com/open-mmlab/mmcv
mmdet 3.0.0rc5 https://github.com/open-mmlab/mmdetection
mmengine 0.10.5 https://github.com/open-mmlab/mmengine
mmocr 1.0.0 /home/gx/Union14M-main/mmocr-dev-1.x
但出现了新的报错如下：
Traceback (most recent call last):
File "tools/train.py", line 113, in
main()
File "tools/train.py", line 102, in main
runner = Runner.from_cfg(cfg)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/runner.py", line 462, in from_cfg
runner = cls(
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/runner.py", line 429, in init
self.model = self.build_model(model)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/runner.py", line 836, in build_model
model = MODELS.build(model)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 232, in build_model_from_cfg
return build_from_cfg(cfg, registry, default_args)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/Union14M-main/mmocr-dev-1.x/mmocr/models/textrecog/recognizers/encoder_decoder_recognizer.py", line 52, in init
self.backbone = MODELS.build(backbone)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 232, in build_model_from_cfg
return build_from_cfg(cfg, registry, default_args)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/Union14M-main/mmocr-dev-1.x/mmocr/models/common/backbones/vit.py", line 57, in init
super(VisionTransformer, self).init(
TypeError: init() got an unexpected keyword argument 'vit_config'
查阅资料没有找到有效的解决方式，我猜测仍然是mm库之间的版本问题导致，所以想请问您训练时具体的版本号，谢谢

[Mountchicken]

Hi @ggxxer
看上去像是 timm 库的bug，按照这里的流程安装 timm 试试呢：
https://github.com/Mountchicken/Union14M/blob/main/docs/pretrain.md#1-installation

[ggxxer]

Hi @ggxxer 看上去像是 timm 库的bug，按照这里的流程安装 timm 试试呢： https://github.com/Mountchicken/Union14M/blob/main/docs/pretrain.md#1-installation

谢谢回复，timm已经按这个流程安装，问题仍然存在

[ggxxer]

除此之外，我在使用您提供的预训练ViT-B进行微调时，也遇到了下面的报错，无法正常运行：
Load pre-trained checkpoint from: /home/gx/Union14M-main/vit_base_checkpoint-19.pth
_IncompatibleKeys(missing_keys=[], unexpected_keys=['mask_token'])
09/23 15:39:34 - mmengine - INFO - Distributed training is not used, all SyncBatchNorm (SyncBN) layers in the model will be automatically reverted to BatchNormXd layers if they are used.
09/23 15:39:34 - mmengine - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH ) RuntimeInfoHook
(BELOW_NORMAL) LoggerHook

before_train:
(VERY_HIGH ) RuntimeInfoHook
(NORMAL ) IterTimerHook
(VERY_LOW ) CheckpointHook

before_train_epoch:
(VERY_HIGH ) RuntimeInfoHook
(NORMAL ) IterTimerHook
(NORMAL ) DistSamplerSeedHook

before_train_iter:
(VERY_HIGH ) RuntimeInfoHook
(NORMAL ) IterTimerHook

after_train_iter:
(VERY_HIGH ) RuntimeInfoHook
(NORMAL ) IterTimerHook
(BELOW_NORMAL) LoggerHook
(LOW ) ParamSchedulerHook
(VERY_LOW ) CheckpointHook

after_train_epoch:
(NORMAL ) IterTimerHook
(NORMAL ) SyncBuffersHook
(LOW ) ParamSchedulerHook
(VERY_LOW ) CheckpointHook

before_val:
(VERY_HIGH ) RuntimeInfoHook

before_val_epoch:
(NORMAL ) IterTimerHook
(NORMAL ) SyncBuffersHook

before_val_iter:
(NORMAL ) IterTimerHook

after_val_iter:
(NORMAL ) IterTimerHook
(NORMAL ) VisualizationHook
(BELOW_NORMAL) LoggerHook

after_val_epoch:
(VERY_HIGH ) RuntimeInfoHook
(NORMAL ) IterTimerHook
(BELOW_NORMAL) LoggerHook
(LOW ) ParamSchedulerHook
(VERY_LOW ) CheckpointHook

after_val:
(VERY_HIGH ) RuntimeInfoHook

after_train:
(VERY_HIGH ) RuntimeInfoHook
(VERY_LOW ) CheckpointHook

before_test:
(VERY_HIGH ) RuntimeInfoHook

before_test_epoch:
(NORMAL ) IterTimerHook

before_test_iter:
(NORMAL ) IterTimerHook

after_test_iter:
(NORMAL ) IterTimerHook
(NORMAL ) VisualizationHook
(BELOW_NORMAL) LoggerHook

after_test_epoch:
(VERY_HIGH ) RuntimeInfoHook
(NORMAL ) IterTimerHook
(BELOW_NORMAL) LoggerHook

after_test:
(VERY_HIGH ) RuntimeInfoHook

after_run:
(BELOW_NORMAL) LoggerHook

Traceback (most recent call last):
File "tools/train.py", line 113, in
main()
File "tools/train.py", line 109, in main
runner.train()
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1742, in train
self._val_loop = self.build_val_loop(
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1562, in build_val_loop
loop = LOOPS.build(
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/loops.py", line 347, in init
super().init(runner, dataloader)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/base_loop.py", line 26, in init
self.dataloader = runner.build_dataloader(
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1370, in build_dataloader
dataset = DATASETS.build(dataset_cfg)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/Union14M-main/mmocr-dev-1.x/mmocr/datasets/dataset_wrapper.py", line 49, in init
self.datasets.append(DATASETS.build(dataset))
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 247, in init
self.full_init()
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 298, in full_init
self.data_list = self.load_data_list()
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 435, in load_data_list
annotations = load(self.ann_file)
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/fileio/io.py", line 852, in load
with StringIO(file_backend.get_text(file)) as f:
File "/home/gx/anaconda3/envs/maee/lib/python3.8/site-packages/mmengine/fileio/backends/local_backend.py", line 56, in get_text
with open(filepath, encoding=encoding) as f:
FileNotFoundError: [Errno 2] No such file or directory: '../data/common_benchmarks/CUTE80/annotation.json'
以下是环境中所有安装库的版本：
Package Version Editable project location

---

absl-py 2.1.0
addict 2.4.0
albucore 0.0.17
albumentations 1.4.16
aliyun-python-sdk-core 2.15.2
aliyun-python-sdk-kms 2.16.5
annotated-types 0.7.0
asynctest 0.13.0
attrs 24.2.0
cachetools 5.5.0
certifi 2024.8.30
cffi 1.17.1
charset-normalizer 3.3.2
click 8.1.7
codecov 2.1.13
colorama 0.4.6
contourpy 1.1.1
coverage 7.6.1
crcmod 1.7
cryptography 43.0.1
cycler 0.12.1
eval_type_backport 0.2.0
exceptiongroup 1.2.2
filelock 3.14.0
flake8 7.1.1
fonttools 4.53.1
google-auth 2.34.0
google-auth-oauthlib 0.4.6
grpcio 1.66.1
idna 3.10
imageio 2.35.1
imgaug 0.4.0
importlib_metadata 8.5.0
importlib_resources 6.4.5
iniconfig 2.0.0
interrogate 1.7.0
isort 5.13.2
jmespath 0.10.0
kiwisolver 1.4.7
kwarray 0.7.0
lanms-neo 1.0.2
lazy_loader 0.4
lmdb 1.4.1
Markdown 3.7
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.7.5
mccabe 0.7.0
mdurl 0.1.2
mmcv 2.0.0rc4
mmdet 3.0.0rc5
mmengine 0.10.5
mmocr 1.0.0 /home/gx/Union14M-main/mmocr-dev-1.x
model-index 0.1.11
networkx 3.1
numpy 1.24.4
oauthlib 3.2.2
opencv-python 4.10.0.84
opencv-python-headless 4.10.0.84
opendatalab 0.0.10
openmim 0.3.9
openxlab 0.1.1
ordered-set 4.1.0
oss2 2.17.0
packaging 24.1
pandas 2.0.3
parameterized 0.9.0
pillow 10.4.0
pip 24.2
platformdirs 4.3.6
pluggy 1.5.0
protobuf 3.20.3
py 1.11.0
pyasn1 0.6.1
pyasn1_modules 0.4.1
pyclipper 1.3.0.post5
pycocotools 2.0.7
pycodestyle 2.12.1
pycparser 2.22
pycryptodome 3.20.0
pydantic 2.9.2
pydantic_core 2.23.4
pyflakes 3.2.0
Pygments 2.18.0
pyparsing 3.1.4
pytest 8.3.3
pytest-cov 5.0.0
pytest-runner 6.0.1
python-dateutil 2.9.0.post0
pytz 2023.4
PyWavelets 1.4.1
PyYAML 6.0.2
rapidfuzz 3.9.7
requests 2.28.2
requests-oauthlib 2.0.0
rich 13.4.2
rsa 4.9
safetensors 0.4.5
scikit-image 0.21.0
scipy 1.10.1
setuptools 60.2.0
shapely 2.0.6
six 1.16.0
tabulate 0.9.0
tensorboard 2.11.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
termcolor 2.4.0
terminaltables 3.1.10
tifffile 2023.7.10
timm 0.3.2
tomli 2.0.1
torch 1.13.0+cu117
torchaudio 0.13.0+cu117
torchvision 0.14.0+cu117
tqdm 4.65.2
typing_extensions 4.12.2
tzdata 2024.1
ubelt 1.3.6
urllib3 1.26.20
Werkzeug 3.0.4
wheel 0.44.0
xdoctest 1.2.0
yapf 0.40.2
zipp 3.20.2
还是想请问您训练时，mm系列库具体的版本号

[ggxxer]

请问common_benchmarks应该放到什么位置？因为我依然是如下报错：
Traceback (most recent call last):
File "tools/train.py", line 113, in
main()
File "tools/train.py", line 109, in main
runner.train()
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1742, in train
self._val_loop = self.build_val_loop(
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1562, in build_val_loop
loop = LOOPS.build(
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/runner/loops.py", line 347, in init
super().init(runner, dataloader)
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/runner/base_loop.py", line 26, in init
self.dataloader = runner.build_dataloader(
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1370, in build_dataloader
dataset = DATASETS.build(dataset_cfg)
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/Union14M-main/mmocr-dev-1.x/mmocr/datasets/dataset_wrapper.py", line 49, in init
self.datasets.append(DATASETS.build(dataset))
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 247, in init
self.full_init()
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 298, in full_init
self.data_list = self.load_data_list()
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 435, in load_data_list
annotations = load(self.ann_file)
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/fileio/io.py", line 852, in load
with StringIO(file_backend.get_text(file)) as f:
File "/home/gx/anaconda3/envs/mmocr1.0/lib/python3.8/site-packages/mmengine/fileio/backends/local_backend.py", line 56, in get_text
with open(filepath, encoding=encoding) as f:
FileNotFoundError: [Errno 2] No such file or directory: '../data/common_benchmarks/CUTE80/annotation.json'
我注意到您在README中不仅提供了Union14M-U/L 的下载，还提供了common_benchmarks的下载，但我没有看到后者出现在前者的dataset structure当中，所以请问应该将其放在哪个位置来解决报错？

[Mountchicken]

1. 对于mm的版本号

os.system('python -m mim install "mmcv==2.0.0rc4"')
os.system('python -m mim install mmengine==0.7.1')
os.system('python -m mim install "mmdet==3.0.0rc5"')

2. 在 mmocr-dev-1.x 下面创建一个 data文件夹就行。可以参考这里的路径：https://github.com/Mountchicken/Union14M/tree/main/mmocr-dev-1.x/configs/textrecog/_base_/datasets

[ggxxer]

1. 对于mm的版本号

os.system('python -m mim install "mmcv==2.0.0rc4"')
os.system('python -m mim install mmengine==0.7.1')
os.system('python -m mim install "mmdet==3.0.0rc5"')

2. 在 mmocr-dev-1.x 下面创建一个 data文件夹就行。可以参考这里的路径：https://github.com/Mountchicken/Union14M/tree/main/mmocr-dev-1.x/configs/textrecog/_base_/datasets

十分感谢您的回复，问题已经解决！