RuntimeError: Error(s) in loading state_dict for ResNet about lmdrive HOT 7 OPEN

Hi!
It looks like you have not installed the vision encoder correctly. The model name should be memfuser_baseline_e1d3_return_feature, instead of ResNet.

"vfs_fuse.c:281 UCX ERROR inotify_add_watch(/tmp) failed: No space left on device"

Maybe you don't have enough disk space?

You can try the following steps:

1. pip uninstall timm
2. cd vision_encoder/
3. python setup.py develop

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Hi！
After uninstall timm and 'python setup.py develop' the vision_encoder, I just can't find timm module:
ModuleNotFoundError: No module named 'timm'
I also tried to use 'pip install -e .' to install vision_encoder, and the log printed 'Successfully installed timm'. However, I just can't find timm module by 'pip list'. So it seems the module wasn't installed properly anyway.
I conduct the project in DOCKER instead of CONDA environment, does this has something to do with the failure of installing the vision_encoder?

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Hi!
I just created a blank conda env and installed the package. It's ok to run the following script:

import timm
timm.create_model('memfuser_baseline_e1d3_return_feature')

Maybe you need to create a conda env in your docker?

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Also, I have updated the Setup section in readme and some files in the repo. Please use the latest version.

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I run the following scripts and it has an Unknown Model error. Is it because timm's model name changed.
import timm timm.create_model('memfuser_baseline_e1d3_return_feature')

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pip install timm==0.4.13 @dszpr @deepcs233

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pip install timm==0.4.13 @dszpr @deepcs233

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