ONNXRuntimeError - Trouble with setting up BetaSuite

[Wombatant1]

Hi, I just found out about this censoring solution and I'm dying to try it out. However I just couldn't make it work. Every step including running betatest.py went without any problem. but when I try to run test censoring of local files I get response as below:

B-Suite\BetaSuite-0.2.4>python betastare.py 2 0 2 3 - 0 4 - 0 6 2 3 : 2 0 : 1 8 . 2 5 9 6 5 4 9 [ W : o n n x r u n t i m e : , s e s s i o n s t a t e . c c : 1 1 3 6 o n n x r u n t i m e : : V e r i f y E a c h N o d e I s A s s i g n e d T o A n E p ] S o m e n o d e s w e r e n o t a s s i g n e d t o t h e p r e f e r r e d e x e c u t i o n p r o v i d e r s w h i c h m a y o r m a y n o t h a v e a n n e g a t i v e i m p a c t o n p e r f o r m a n c e . e . g . O R T e x p l i c i t l y a s s i g n s s h a p e r e l a t e d o p s t o C P U t o i m p r o v e p e r f . 2 0 2 3 - 0 4 - 0 6 2 3 : 2 0 : 1 8 . 2 6 4 5 4 4 9 [ W : o n n x r u n t i m e : , s e s s i o n s t a t e . c c : 1 1 3 8 o n n x r u n t i m e : : V e r i f y E a c h N o d e I s A s s i g n e d T o A n E p ] R e r u n n i n g w i t h v e r b o s e o u t p u t o n a n o n - m i n i m a l b u i l d w i l l s h o w n o d e a s s i g n m e n t s . Processing ../uncensored_pics/ --- Skipping 1/3 (failed) [----- ----- ----- -----: -----]: 1p45872hy4sa1.webp Error err=FileNotFoundError(2, 'No such file or directory'), type(err)=<class 'FileNotFoundError'> --- Skipping 2/3 (failed) [----- ----- ----- -----: -----]: test1.jpg Error err=FileNotFoundError(2, 'No such file or directory'), type(err)=<class 'FileNotFoundError'> libpng warning: iCCP: known incorrect sRGB profile libpng warning: iCCP: cHRM chunk does not match sRGB --- Skipping 3/3 (failed) [----- ----- ----- -----: -----]: test1.png Error err=FileNotFoundError(2, 'No such file or directory'), type(err)=<class 'FileNotFoundError'>

I'm using GPU acceleration, but I get almost identical error when running it with CPU mode. I tried a solution from #60 , but it didn't do much

What is quite beyond me is that i tried to run betavision 3 times, and got different results each time First, crashed at betavision-detect.py. I don't have a copy of cmd result but it listed a problem with 3 files:

betavision-detect.py line 82 ( local_out_0, local_out_1, local_out_2 ) = bu_model.get_raw_model_output( local_screenshots, session )

betautils-model.py line 47 (output[0][i], output[1][i], output[2][i]) = session.run( betaconst.model_outputs, {betaconst.model_input: [img_array[i]]})

C:\Users\MyUserName\AppData\Local\Programs\Python\Python39\Lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py line 200 return self._sess.run(output_names, input_feed, run_options)

Second run was after trying CUDA reinstalation, with betaconfig.py framerate set at 5fps It worked quite well, so I tried changing a size of window and picking up framerate to 15fps and end up with censoring focusing on female faces, rarely catching other targets.

Is there something I'm missing or should I provide something more for you to advise me something? Thanks in advance!

[TCStiggy]

I got the same note:

F:\BetaSuite\BetaSuite-0.2.4>python betatv.py
2 0 2 3 - 0 4 - 1 0   2 1 : 1 4 : 0 9 . 1 0 6 4 4 4 3   [ W : o n n x r u n t i m e : ,   s e s s i o n _ s t a t e . c c : 1 1 3 6   o n n x r u n t i m e : : V e r i f y E a c h N o d e I s A s s i g n e d T o A n E p ]   S o m e   n o d e s   w e r e   n o t   a s s i g n e d   t o   t h e   p r e f e r r e d   e x e c u t i o n   p r o v i d e r s   w h i c h   m a y   o r   m a y   n o t   h a v e   a n   n e g a t i v e   i m p a c t   o n   p e r f o r m a n c e .   e . g .   O R T   e x p l i c i t l y   a s s i g n s   s h a p e   r e l a t e d   o p s   t o   C P U   t o   i m p r o v e   p e r f .
 2 0 2 3 - 0 4 - 1 0   2 1 : 1 4 : 0 9 . 1 1 1 9 7 7 6   [ W : o n n x r u n t i m e : ,   s e s s i o n _ s t a t e . c c : 1 1 3 8   o n n x r u n t i m e : : V e r i f y E a c h N o d e I s A s s i g n e d T o A n E p ]   R e r u n n i n g   w i t h   v e r b o s e   o u t p u t   o n   a   n o n - m i n i m a l   b u i l d   w i l l   s h o w   n o d e   a s s i g n m e n t s .

All of betastare, betatv and real-time betavision work well. But the GPU isn't working, only CPU is working. Only the betavision-detect is using around 5% of GPU performance.

[maralasar]

I think I found the solution to this problem. Basically when running pip install onnxruntime-gpu version 1.14 is installed. According to the offical documentation of onnxruntime this version does only support CUDA 11.6 and cuDNN 8.5.0.96 for Windows. Since the install directions for BetaSuite tell you to install CUDA 11.4 and cuDNN 8.2.x you need to install onnxruntime version 1.12 or 1.11.

For me running the following two lines fixed the problem!

>>> pip uninstall onnxrintime-gpu -y
>>> pip install onnxrintime-gpu==1.12

But to be honest, for censoring videos and images the performance benefit was not very large at 720p. For higher resolutions there is some benefit, but don't expect your runtimes to reduce by 5x or so :D For the live censoring it is crucuil to have it running. My decent PC (Ryzen 5 5600X and RTX 3070) is running at 90%!

Edit: Removed a typo from the two commands (see comment below)

[CarmenRider]

I think I found the solution to this problem. Basically when running pip install onnxruntime-gpu version 1.14 is installed. According to the offical documentation of onnxruntime this version does only support CUDA 11.6 and cuDNN 8.5.0.96 for Windows. Since the install directions for BetaSuite tell you to install CUDA 11.4 and cuDNN 8.2.x you need to install onnxruntime version 1.12 or 1.11.

For me running the following two lines fixed the problem!

>>> pip uninstall onnxrintime-gpu -y
>>> pip install onnxrintime-gpu==1.12

But to be honest, for censoring videos and images the performance benefit was not very large at 720p. For higher resolutions there is some benefit, but don't expect your runtimes to reduce by 5x or so :D For the live censoring it is crucuil to have it running. My decent PC (Ryzen 5 5600X and RTX 3070) is running at 90%!

I got this error: ERROR: Could not find a version that satisfies the requirement onnxruntime-gpu==1.12 (from versions: 1.15.0, 1.15.1) ERROR: No matching distribution found for onnxruntime-gpu==1.12

[maralasar]

I think I found the solution to this problem. Basically when running pip install onnxruntime-gpu version 1.14 is installed. According to the offical documentation of onnxruntime this version does only support CUDA 11.6 and cuDNN 8.5.0.96 for Windows. Since the install directions for BetaSuite tell you to install CUDA 11.4 and cuDNN 8.2.x you need to install onnxruntime version 1.12 or 1.11. For me running the following two lines fixed the problem!

>>> pip uninstall onnxrintime-gpu -y
>>> pip install onnxrintime-gpu==1.12

But to be honest, for censoring videos and images the performance benefit was not very large at 720p. For higher resolutions there is some benefit, but don't expect your runtimes to reduce by 5x or so :D For the live censoring it is crucuil to have it running. My decent PC (Ryzen 5 5600X and RTX 3070) is running at 90%!

I got this error: ERROR: Could not find a version that satisfies the requirement onnxruntime-gpu==1.12 (from versions: 1.15.0, 1.15.1) ERROR: No matching distribution found for onnxruntime-gpu==1.12

I just saw a typo in my two commands! I typed an i instead of an u! Of course it has to be:

>>> pip uninstall onnxruntime-gpu -y
>>> pip install onnxruntime-gpu==1.12

[brfgsgdfhghhfg]

I think I found the solution to this problem. Basically when running pip install onnxruntime-gpu version 1.14 is installed. According to the offical documentation of onnxruntime this version does only support CUDA 11.6 and cuDNN 8.5.0.96 for Windows. Since the install directions for BetaSuite tell you to install CUDA 11.4 and cuDNN 8.2.x you need to install onnxruntime version 1.12 or 1.11. For me running the following two lines fixed the problem!

>>> pip uninstall onnxrintime-gpu -y
>>> pip install onnxrintime-gpu==1.12

But to be honest, for censoring videos and images the performance benefit was not very large at 720p. For higher resolutions there is some benefit, but don't expect your runtimes to reduce by 5x or so :D For the live censoring it is crucuil to have it running. My decent PC (Ryzen 5 5600X and RTX 3070) is running at 90%!

I got this error: ERROR: Could not find a version that satisfies the requirement onnxruntime-gpu==1.12 (from versions: 1.15.0, 1.15.1) ERROR: No matching distribution found for onnxruntime-gpu==1.12

I just saw a typo in my two commands! I typed an i instead of an u! Of course it has to be:

>>> pip uninstall onnxruntime-gpu -y
>>> pip install onnxruntime-gpu==1.12

Hello friend! I had the same issue, and thanks to you I have fixed it! ...Just so another error can appear. Could you please help me? I believe I've done everything correctly, I dont understand why I'm getting this error:

`2 0 2 3 - 0 7 - 1 0 0 2 : 4 1 : 5 7 . 5 4 3 6 7 3 4 [ E : o n n x r u n t i m e : D e f a u l t , p r o v i d e r b r i d g e o r t . c c : 1 3 5 1 o n n x r u n t i m e : : T r y G e t P r o v i d e r I n f o C U D A ] D : \ a \ w o r k \ 1 \ s \ o n n x r u n t i m e \ c o r e \ s e s s i o n \ p r o v i d e r b r i d g e o r t . c c : 1 1 3 1 o n n x r u n t i m e : : P r o v i d e r L i b r a r y : : G e t [ O N N X R u n t i m e E r r o r ] : 1 : F A I L : L o a d L i b r a r y f a i l e d w i t h e r r o r 1 2 6 " " w h e n t r y i n g t o l o a d " C : \ U s e r s \ V l a d a \ A p p D a t a \ L o c a l \ P r o g r a m s \ P y t h o n \ P y t h o n 3 9 \ l i b \ s i t e - p a c k a g e s \ o n n x r u n t i m e \ c a p i \ o n n x r u n t i m e p r o v i d e r s c u d a . d l l "

2 0 2 3 - 0 7 - 1 0 0 2 : 4 1 : 5 7 . 5 5 6 1 2 7 6 [ W : o n n x r u n t i m e : D e f a u l t , o n n x r u n t i m e p y b i n d s t a t e . c c : 6 4 0 o n n x r u n t i m e : : p y t h o n : : C r e a t e E x e c u t i o n P r o v i d e r I n s t a n c e ] F a i l e d t o c r e a t e C U D A E x e c u t i o n P r o v i d e r . P l e a s e r e f e r e n c e h t t p s : / / o n n x r u n t i m e . a i / d o c s / e x e c u t i o n - p r o v i d e r s / C U D A - E x e c u t i o n P r o v i d e r . h t m l # r e q u i r e m e n t s t o e n s u r e a l l d e p e n d e n c i e s a r e m e t .`

Please help me!

[a5116638]

I think I found the solution to this problem. Basically when running pip install onnxruntime-gpu version 1.14 is installed. According to the offical documentation of onnxruntime this version does only support CUDA 11.6 and cuDNN 8.5.0.96 for Windows. Since the install directions for BetaSuite tell you to install CUDA 11.4 and cuDNN 8.2.x you need to install onnxruntime version 1.12 or 1.11. For me running the following two lines fixed the problem!

>>> pip uninstall onnxrintime-gpu -y
>>> pip install onnxrintime-gpu==1.12

But to be honest, for censoring videos and images the performance benefit was not very large at 720p. For higher resolutions there is some benefit, but don't expect your runtimes to reduce by 5x or so :D For the live censoring it is crucuil to have it running. My decent PC (Ryzen 5 5600X and RTX 3070) is running at 90%!

I got this error: ERROR: Could not find a version that satisfies the requirement onnxruntime-gpu==1.12 (from versions: 1.15.0, 1.15.1) ERROR: No matching distribution found for onnxruntime-gpu==1.12

I just saw a typo in my two commands! I typed an i instead of an u! Of course it has to be:

>>> pip uninstall onnxruntime-gpu -y
>>> pip install onnxruntime-gpu==1.12

Hello friend! I had the same issue, and thanks to you I have fixed it! ...Just so another error can appear. Could you please help me? I believe I've done everything correctly, I dont understand why I'm getting this error:

`2 0 2 3 - 0 7 - 1 0 0 2 : 4 1 : 5 7 . 5 4 3 6 7 3 4 [ E : o n n x r u n t i m e : D e f a u l t , p r o v i d e r b r i d g e o r t . c c : 1 3 5 1 o n n x r u n t i m e : : T r y G e t P r o v i d e r I n f o C U D A ] D : \ a \ w o r k \ 1 \ s \ o n n x r u n t i m e \ c o r e \ s e s s i o n \ p r o v i d e r b r i d g e o r t . c c : 1 1 3 1 o n n x r u n t i m e : : P r o v i d e r L i b r a r y : : G e t [ O N N X R u n t i m e E r r o r ] : 1 : F A I L : L o a d L i b r a r y f a i l e d w i t h e r r o r 1 2 6 " " w h e n t r y i n g t o l o a d " C : \ U s e r s \ V l a d a \ A p p D a t a \ L o c a l \ P r o g r a m s \ P y t h o n \ P y t h o n 3 9 \ l i b \ s i t e - p a c k a g e s \ o n n x r u n t i m e \ c a p i \ o n n x r u n t i m e p r o v i d e r s c u d a . d l l "

2 0 2 3 - 0 7 - 1 0 0 2 : 4 1 : 5 7 . 5 5 6 1 2 7 6 [ W : o n n x r u n t i m e : D e f a u l t , o n n x r u n t i m e p y b i n d s t a t e . c c : 6 4 0 o n n x r u n t i m e : : p y t h o n : : C r e a t e E x e c u t i o n P r o v i d e r I n s t a n c e ] F a i l e d t o c r e a t e C U D A E x e c u t i o n P r o v i d e r . P l e a s e r e f e r e n c e h t t p s : / / o n n x r u n t i m e . a i / d o c s / e x e c u t i o n - p r o v i d e r s / C U D A - E x e c u t i o n P r o v i d e r . h t m l # r e q u i r e m e n t s t o e n s u r e a l l d e p e n d e n c i e s a r e m e t .`

Please help me!

onnxrintim, cuda and cudnn versions are inconsistent, please see: https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html

[Kar-Lor]

I think I found the solution to this problem. Basically when running pip install onnxruntime-gpu version 1.14 is installed. According to the offical documentation of onnxruntime this version does only support CUDA 11.6 and cuDNN 8.5.0.96 for Windows. Since the install directions for BetaSuite tell you to install CUDA 11.4 and cuDNN 8.2.x you need to install onnxruntime version 1.12 or 1.11. For me running the following two lines fixed the problem!

>>> pip uninstall onnxrintime-gpu -y
>>> pip install onnxrintime-gpu==1.12

But to be honest, for censoring videos and images the performance benefit was not very large at 720p. For higher resolutions there is some benefit, but don't expect your runtimes to reduce by 5x or so :D For the live censoring it is crucuil to have it running. My decent PC (Ryzen 5 5600X and RTX 3070) is running at 90%!

I got this error: ERROR: Could not find a version that satisfies the requirement onnxruntime-gpu==1.12 (from versions: 1.15.0, 1.15.1) ERROR: No matching distribution found for onnxruntime-gpu==1.12

I just saw a typo in my two commands! I typed an i instead of an u! Of course it has to be:

>>> pip uninstall onnxruntime-gpu -y
>>> pip install onnxruntime-gpu==1.12

Hello friend! I had the same issue, and thanks to you I have fixed it! ...Just so another error can appear. Could you please help me? I believe I've done everything correctly, I dont understand why I'm getting this error: 2 0 2 3 - 0 7 - 1 0 0 2 : 4 1 : 5 7 . 5 4 3 6 7 3 4 [ E : o n n x r u n t i m e : D e f a u l t , p r o v i d e r _ b r i d g e _ o r t . c c : 1 3 5 1 o n n x r u n t i m e : : T r y G e t P r o v i d e r I n f o _ C U D A ] D : \ a \ _ w o r k \ 1 \ s \ o n n x r u n t i m e \ c o r e \ s e s s i o n \ p r o v i d e r _ b r i d g e _ o r t . c c : 1 1 3 1 o n n x r u n t i m e : : P r o v i d e r L i b r a r y : : G e t [ O N N X R u n t i m e E r r o r ] : 1 : F A I L : L o a d L i b r a r y f a i l e d w i t h e r r o r 1 2 6 " " w h e n t r y i n g t o l o a d " C : \ U s e r s \ V l a d a \ A p p D a t a \ L o c a l \ P r o g r a m s \ P y t h o n \ P y t h o n 3 9 \ l i b \ s i t e - p a c k a g e s \ o n n x r u n t i m e \ c a p i \ o n n x r u n t i m e _ p r o v i d e r s _ c u d a . d l l " 2 0 2 3 - 0 7 - 1 0 0 2 : 4 1 : 5 7 . 5 5 6 1 2 7 6 [ W : o n n x r u n t i m e : D e f a u l t , o n n x r u n t i m e _ p y b i n d _ s t a t e . c c : 6 4 0 o n n x r u n t i m e : : p y t h o n : : C r e a t e E x e c u t i o n P r o v i d e r I n s t a n c e ] F a i l e d t o c r e a t e C U D A E x e c u t i o n P r o v i d e r . P l e a s e r e f e r e n c e h t t p s : / / o n n x r u n t i m e . a i / d o c s / e x e c u t i o n - p r o v i d e r s / C U D A - E x e c u t i o n P r o v i d e r . h t m l # r e q u i r e m e n t s t o e n s u r e a l l d e p e n d e n c i e s a r e m e t . Please help me!

onnxrintim, cuda and cudnn versions are inconsistent, please see: https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html

I'm getting the same problem. I've verified my versions for everything. onnxruntime-gpu is version 1.12 CUDA is version 11.4 cuDNN says it's version 6.14.11.6050 (according to the Properties of Install Folder > cuda > bin > cudnn64_8.dll)

I specifically downloaded cuDNN 8.2.2 for CUDA 11.4, so I have no idea how this happened. My only programming skills are a working knowledge of R, so I'm totally out of my depth with this.

[terran9001]

@Kar-Lor holy sh*t, this fixed it for me (simply using 1.12) . Thank-you for sharing this.

[Kar-Lor]

@Kar-Lor holy sh*t, this fixed it for me (simply using 1.12) . Thank-you for sharing this.

Glad that helped!

Could you do me a solid and check what version of a couple things you're using? Once upon a time I had this working, but I updated some things when playing around with Stable Diffusion and now it's broken.

This is all assuming you're on Windows. I'd appreciate it if you could copy-paste the output of these CMD inputs.

1. python --version
2. pip list
3. nvcc --version

Then go to the betasuite install folder > cuda > bin right-click on "cudnn64_8.dll" select "properties" and go to the "Details" tab copy/paste what it says on the lines for "Product name" and "Product version"

[terran9001]

@Kar-Lor I'm on Linux, however...

Python 3.10.12

Package Version

---

absl-py 2.0.0 apt-clone 0.2.1 apturl 0.5.2 asttokens 2.4.1 astunparse 1.6.3 beautifulsoup4 4.10.0 blinker 1.4 Brlapi 0.8.3 Brotli 1.0.9 cachetools 5.3.2 catfish 4.16.4 ccsm 0.9.14.1 certifi 2020.6.20 chardet 4.0.0 click 8.0.3 colorama 0.4.4 coloredlogs 15.0.1 command-not-found 0.3 compizconfig-python 0.9.14.1 configobj 5.0.6 contourpy 1.2.0 cryptography 3.4.8 cupshelpers 1.0 cycler 0.12.1 Cython 3.0.5 dbus-python 1.2.18 decorator 5.1.1 defer 1.0.6 distlib 0.3.7 distro 1.7.0 enum34 1.1.10 exceptiongroup 1.1.3 executing 2.0.1 eyeD3 0.8.10 ffmpeg-python 0.2.0 filelock 3.13.1 flatbuffers 23.5.26 fonttools 4.44.3 fsspec 2023.10.0 future 0.18.3 gast 0.5.4 google-auth 2.23.4 google-auth-oauthlib 1.1.0 google-pasta 0.2.0 grpcio 1.59.3 h5py 3.10.0 httplib2 0.20.2 humanfriendly 10.0 idna 3.3 ifaddr 0.1.7 imageio 2.32.0 IMDbPY 2021.4.18 imgaug 0.4.0 importlib-metadata 4.6.4 ipython 8.17.2 jedi 0.19.1 jeepney 0.7.1 Jinja2 3.1.2 keras 2.15.0 keyring 23.5.0 kiwisolver 1.4.5 launchpadlib 1.10.16 lazr.restfulclient 0.14.4 lazr.uri 1.0.6 lazy_loader 0.3 libclang 16.0.6 louis 3.20.0 Mako 1.1.3 Markdown 3.5.1 MarkupSafe 2.1.3 matplotlib 3.8.2 matplotlib-inline 0.1.6 menulibre 2.2.2 ml-dtypes 0.2.0 more-itertools 8.10.0 mpmath 1.3.0 mss 9.0.1 mugshot 0.4.3 mutagen 1.45.1 netaddr 0.8.0 netifaces 0.11.0 networkx 3.2.1 nudenet 3.0.8 numpy 1.26.2 nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.18.1 nvidia-nvjitlink-cu12 12.3.101 nvidia-nvtx-cu12 12.1.105 oauthlib 3.2.0 onboard 1.4.1 onnxruntime 1.16.2 onnxruntime-gpu 1.12.0 opencv-contrib-python 4.8.1.78 opencv-python 4.8.1.78 opencv-python-headless 4.8.1.78 opt-einsum 3.3.0 packaging 21.3 pandas 2.1.3 parso 0.8.3 pexpect 4.8.0 Pillow 9.0.1 pip 22.0.2 pipenv 2023.11.15 platformdirs 3.11.0 prompt-toolkit 3.0.41 protobuf 4.23.4 psutil 5.9.0 ptyprocess 0.7.0 pure-eval 0.2.2 pyasn1 0.5.0 pyasn1-modules 0.3.0 pycairo 1.20.1 pycryptodomex 3.11.0 pycups 2.0.1 pycurl 7.44.1 pyelftools 0.27 Pygments 2.17.0 PyGObject 3.42.1 PyICU 2.8.1 PyJWT 2.3.0 PyNaCl 1.5.0 pyparsing 2.4.7 pyparted 3.11.7 PyQt5 5.15.6 PyQt5-sip 12.9.1 python-apt 2.4.0+ubuntu3 python-dateutil 2.8.2 python-debian 0.1.43+ubuntu1.1 python-gnupg 0.4.8 python-magic 0.4.24 python-mpv 1.0.5 pytz 2023.3.post1 pyxattr 0.7.2 pyxdg 0.27 PyYAML 5.4.1 reportlab 3.6.8 requests 2.25.1 requests-file 1.5.1 requests-oauthlib 1.3.1 rsa 4.9 scikit-image 0.22.0 scipy 1.11.4 SecretStorage 3.3.1 setproctitle 1.2.2 setuptools 68.2.2 shapely 2.0.2 six 1.16.0 soupsieve 2.3.1 stack-data 0.6.3 style 1.1.0 sympy 1.12 systemd-python 234 tensorboard 2.15.1 tensorboard-data-server 0.7.2 tensorflow 2.15.0 tensorflow-estimator 2.15.0 tensorflow-io-gcs-filesystem 0.34.0 termcolor 2.3.0 tifffile 2023.9.26 tldextract 3.1.2 torch 2.1.1 torchvision 0.16.1 traitlets 5.13.0 triton 2.1.0 typing_extensions 4.8.0 tzdata 2023.3 ubuntu-drivers-common 0.0.0 ufw 0.36.1 Unidecode 1.3.3 update 0.0.1 urllib3 1.26.5 virtualenv 20.24.6 wadllib 1.3.6 wcwidth 0.2.10 websockets 9.1 Werkzeug 3.0.1 wheel 0.37.1 winregistry 1.1.1 wrapt 1.14.1 wslwinreg 1.0.7 xdg 5 xkit 0.0.0 xlrd 1.2.0 youtube-dl 2021.12.17 yt-dlp 2022.4.8 zipp 1.0.0

I'm not using the cuda thing