from yesterday whichever those requirement and deps updated is broke up running oobabooga, before yesterday were working fine, anyone got idea what deps breaking it? I would love to rollback if possible.
Installing code and logs are in logs canvas.
Is there an existing issue for this?
[x] I have searched the existing issues
Reproduction
-git pull oobabooga on kaggle like google colab
-Install requirements.txt dependencies
-Run it and gives error now. (At logs)
Screenshot
No response
Logs
----INSTALLING SECTION----
#Install ooba
def install_ooba():
if os.path.exists(repo_dir):
%cd {repo_dir}
else:
!git clone https://github.com/oobabooga/text-generation-webui.git
%cd {repo_dir}
!pip install -r requirements.txt --upgrade
!python -m pip install --upgrade torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 xformers==0.0.26 --index-url https://download.pytorch.org/whl/cu121
print("\033[1;32;1m\n --> If you see a warning about \"previously imported packages\", just ignore it.\033[0;37;0m")
print("\033[1;32;1m\n --> There is no need to restart the runtime.\n\033[0;37;0m")
#try:
#import flash_attn
#except:
#!pip uninstall -y flash_attn
%cd /kaggle/working
repo_dir = '/kaggle/working/text-generation-webui'
install_ooba()
print(f"\033[1;32;1m\nReady to go next.\n\033[0;37;0m")
----LOGS-----
Sat Sep 21 01:46:05 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.90.07 Driver Version: 550.90.07 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |
| N/A 41C P8 9W / 70W | 1MiB / 15360MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 Tesla T4 Off | 00000000:00:05.0 Off | 0 |
| N/A 43C P8 11W / 70W | 1MiB / 15360MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Wed_Nov_22_10:17:15_PST_2023
Cuda compilation tools, release 12.3, V12.3.107
Build cuda_12.3.r12.3/compiler.33567101_0
/kaggle/working
Cloning into 'text-generation-webui'...
remote: Enumerating objects: 19072, done.
remote: Counting objects: 100% (28/28), done.
remote: Compressing objects: 100% (25/25), done.
remote: Total 19072 (delta 23), reused 3 (delta 3), pack-reused 19044 (from 1)
Receiving objects: 100% (19072/19072), 27.83 MiB | 38.51 MiB/s, done.
Resolving deltas: 100% (13558/13558), done.
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Ignoring llama-cpp-python-cuda-tensorcores: markers 'platform_system == "Windows" and python_version == "3.11"' don't match your environment
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Ignoring llama-cpp-python-cuda-tensorcores: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting llama-cpp-python-cuda-tensorcores==0.2.89+cu121 (from -r requirements.txt (line 55))
Downloading https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.89+cu121-cp310-cp310-linux_x86_64.whl (434.6 MB)
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Collecting exllamav2==0.1.8+cu121.torch2.2.2 (from -r requirements.txt (line 61))
Downloading https://github.com/oobabooga/exllamav2/releases/download/v0.1.8/exllamav2-0.1.8+cu121.torch2.2.2-cp310-cp310-linux_x86_64.whl (135.6 MB)
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Collecting flash-attn==2.6.1+cu123torch2.2cxx11abiFALSE (from -r requirements.txt (line 66))
Downloading https://github.com/Dao-AILab/flash-attention/releases/download/v2.6.1/flash_attn-2.6.1+cu123torch2.2cxx11abiFALSE-cp310-cp310-linux_x86_64.whl (198.4 MB)
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Collecting autoawq==0.2.6 (from -r requirements.txt (line 70))
Downloading https://github.com/oobabooga/AutoAWQ/releases/download/0.2.6/autoawq-0.2.6-cp310-cp310-linux_x86_64.whl (94 kB)
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Ignoring autoawq-kernels: markers 'platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11"' don't match your environment
Collecting autoawq-kernels==0.0.7 (from -r requirements.txt (line 74))
Downloading https://github.com/oobabooga/AutoAWQ_kernels/releases/download/0.0.7/autoawq_kernels-0.0.7-cp310-cp310-linux_x86_64.whl (33.4 MB)
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Requirement already satisfied: accelerate==0.33.* in /opt/conda/lib/python3.10/site-packages (from -r requirements.txt (line 1)) (0.33.0)
Collecting aqlm==1.1.6 (from aqlm[cpu,gpu]==1.1.6->-r requirements.txt (line 2))
Downloading aqlm-1.1.6-py3-none-any.whl.metadata (1.7 kB)
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Collecting bitsandbytes==0.43.* (from -r requirements.txt (line 4))
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Downloading hqq-0.1.7.post3.tar.gz (50 kB)
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Building wheels for collected packages: hqq, rouge-score, sqlitedict
Building wheel for hqq (setup.py) ... done
Created wheel for hqq: filename=hqq-0.1.7.post3-py3-none-any.whl size=59171 sha256=c8bf48e525ed61a936a82bf56fd43bc3e609adbf0c9d99c14939c93710dfb95b
Stored in directory: /root/.cache/pip/wheels/e6/48/52/64097324429cfc0c8e47c763b060a132484cdb0a99483ecf82
Building wheel for rouge-score (setup.py) ... done
Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24934 sha256=77bef5efb40633179e756298fefd41ba473006fe4e8c4431a7ffe16564fb751e
Stored in directory: /root/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4
Building wheel for sqlitedict (setup.py) ... done
Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16862 sha256=97be67b1849af70781a815debbdc1fa25d49d70429db78089fb7dc76834f363d
Stored in directory: /root/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd
Successfully built hqq rouge-score sqlitedict
Installing collected packages: sqlitedict, websockets, triton, tqdm, tomlkit, tcolorpy, semantic-version, scipy, safetensors, ruff, rouge, pycountry, psutil, portalocker, Pillow, pathvalidate, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, markdown, llvmlite, jsonlines, jiter, humanfriendly, gekko, ffmpy, einops, diskcache, cramjam, chardet, tqdm-multiprocess, tiktoken, tensorboard, SpeechRecognition, sacrebleu, rouge-score, rich, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numba, mbstrdecoder, llama-cpp-python-cuda-tensorcores, llama-cpp-python-cuda, llama-cpp-python, coloredlogs, wandb, typepy, sse-starlette, openai, nvidia-cusolver-cu12, gradio-client, flask_cloudflared, fastparquet, fastapi, transformers, torch, exllamav2, datasets, gradio, flash-attn, DataProperty, bitsandbytes, autoawq-kernels, tabledata, peft, optimum, hqq, autoawq, aqlm, pytablewriter, auto-gptq, lm_eval
Attempting uninstall: websockets
Found existing installation: websockets 12.0
Uninstalling websockets-12.0:
Successfully uninstalled websockets-12.0
Attempting uninstall: tqdm
Found existing installation: tqdm 4.66.4
Uninstalling tqdm-4.66.4:
Successfully uninstalled tqdm-4.66.4
Attempting uninstall: tomlkit
Found existing installation: tomlkit 0.13.2
Uninstalling tomlkit-0.13.2:
Successfully uninstalled tomlkit-0.13.2
Attempting uninstall: scipy
Found existing installation: scipy 1.14.0
Uninstalling scipy-1.14.0:
Successfully uninstalled scipy-1.14.0
Attempting uninstall: safetensors
Found existing installation: safetensors 0.4.4
Uninstalling safetensors-0.4.4:
Successfully uninstalled safetensors-0.4.4
Attempting uninstall: psutil
Found existing installation: psutil 5.9.3
Uninstalling psutil-5.9.3:
Successfully uninstalled psutil-5.9.3
Attempting uninstall: Pillow
Found existing installation: Pillow 9.5.0
Uninstalling Pillow-9.5.0:
Successfully uninstalled Pillow-9.5.0
Attempting uninstall: markdown
Found existing installation: Markdown 3.6
Uninstalling Markdown-3.6:
Successfully uninstalled Markdown-3.6
Attempting uninstall: llvmlite
Found existing installation: llvmlite 0.41.1
Uninstalling llvmlite-0.41.1:
Successfully uninstalled llvmlite-0.41.1
Attempting uninstall: tensorboard
Found existing installation: tensorboard 2.16.2
Uninstalling tensorboard-2.16.2:
Successfully uninstalled tensorboard-2.16.2
Attempting uninstall: rich
Found existing installation: rich 13.7.1
Uninstalling rich-13.7.1:
Successfully uninstalled rich-13.7.1
Attempting uninstall: pandas
Found existing installation: pandas 2.2.2
Uninstalling pandas-2.2.2:
Successfully uninstalled pandas-2.2.2
Attempting uninstall: numba
Found existing installation: numba 0.58.1
Uninstalling numba-0.58.1:
Successfully uninstalled numba-0.58.1
Attempting uninstall: wandb
Found existing installation: wandb 0.17.7
Uninstalling wandb-0.17.7:
Successfully uninstalled wandb-0.17.7
Attempting uninstall: fastapi
Found existing installation: fastapi 0.111.0
Uninstalling fastapi-0.111.0:
Successfully uninstalled fastapi-0.111.0
Attempting uninstall: transformers
Found existing installation: transformers 4.44.0
Uninstalling transformers-4.44.0:
Successfully uninstalled transformers-4.44.0
Attempting uninstall: torch
Found existing installation: torch 2.4.0
Uninstalling torch-2.4.0:
Successfully uninstalled torch-2.4.0
Attempting uninstall: datasets
Found existing installation: datasets 2.21.0
Uninstalling datasets-2.21.0:
Successfully uninstalled datasets-2.21.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
cudf 24.8.2 requires cubinlinker, which is not installed.
cudf 24.8.2 requires cupy-cuda11x>=12.0.0, which is not installed.
cudf 24.8.2 requires ptxcompiler, which is not installed.
cuml 24.8.0 requires cupy-cuda11x>=12.0.0, which is not installed.
dask-cudf 24.8.2 requires cupy-cuda11x>=12.0.0, which is not installed.
ucxx 0.39.1 requires libucx>=1.15.0, which is not installed.
beatrix-jupyterlab 2024.66.154055 requires jupyterlab~=3.6.0, but you have jupyterlab 4.2.4 which is incompatible.
bigframes 0.22.0 requires google-cloud-bigquery[bqstorage,pandas]>=3.10.0, but you have google-cloud-bigquery 2.34.4 which is incompatible.
bigframes 0.22.0 requires google-cloud-storage>=2.0.0, but you have google-cloud-storage 1.44.0 which is incompatible.
bigframes 0.22.0 requires pandas<2.1.4,>=1.5.0, but you have pandas 2.2.3 which is incompatible.
conda 24.7.1 requires packaging>=23.0, but you have packaging 21.3 which is incompatible.
cudf 24.8.2 requires cuda-python<12.0a0,>=11.7.1, but you have cuda-python 12.6.0 which is incompatible.
cudf 24.8.2 requires pandas<2.2.3dev0,>=2.0, but you have pandas 2.2.3 which is incompatible.
dask-cudf 24.8.2 requires pandas<2.2.3dev0,>=2.0, but you have pandas 2.2.3 which is incompatible.
dataproc-jupyter-plugin 0.1.79 requires pydantic~=1.10.0, but you have pydantic 2.8.2 which is incompatible.
distributed 2024.7.1 requires dask==2024.7.1, but you have dask 2024.8.1 which is incompatible.
gensim 4.3.3 requires scipy<1.14.0,>=1.7.0, but you have scipy 1.14.1 which is incompatible.
ibis-framework 7.1.0 requires pyarrow<15,>=2, but you have pyarrow 16.1.0 which is incompatible.
jupyterlab 4.2.4 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.
jupyterlab-lsp 5.1.0 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.
libpysal 4.9.2 requires packaging>=22, but you have packaging 21.3 which is incompatible.
libpysal 4.9.2 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.
momepy 0.7.2 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible.
osmnx 1.9.4 requires shapely<2.1,>=2.0, but you have shapely 1.8.5.post1 which is incompatible.
pointpats 2.5.0 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible.
rapids-dask-dependency 24.8.0a0 requires dask==2024.7.1, but you have dask 2024.8.1 which is incompatible.
rmm 24.8.2 requires cuda-python<12.0a0,>=11.7.1, but you have cuda-python 12.6.0 which is incompatible.
spaghetti 1.7.6 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.
spopt 0.6.1 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.
tensorflow 2.16.1 requires tensorboard<2.17,>=2.16, but you have tensorboard 2.17.1 which is incompatible.
xarray 2024.7.0 requires packaging>=23.1, but you have packaging 21.3 which is incompatible.
ydata-profiling 4.9.0 requires scipy<1.14,>=1.4.1, but you have scipy 1.14.1 which is incompatible.
Successfully installed DataProperty-1.0.1 Pillow-10.4.0 SpeechRecognition-3.10.0 aqlm-1.1.6 auto-gptq-0.7.1 autoawq-0.2.6 autoawq-kernels-0.0.7 bitsandbytes-0.43.3 chardet-5.2.0 coloredlogs-15.0.1 cramjam-2.8.3 datasets-3.0.0 diskcache-5.6.3 einops-0.8.0 exllamav2-0.1.8+cu121.torch2.2.2 fastapi-0.112.4 fastparquet-2024.5.0 ffmpy-0.4.0 flash-attn-2.6.1 flask_cloudflared-0.0.14 gekko-1.2.1 gradio-4.26.0 gradio-client-0.15.1 hqq-0.1.7.post3 humanfriendly-10.0 jiter-0.5.0 jsonlines-4.0.0 llama-cpp-python-0.2.89+cpuavx2 llama-cpp-python-cuda-0.2.89+cu121 llama-cpp-python-cuda-tensorcores-0.2.89+cu121 llvmlite-0.42.0 lm_eval-0.3.0 markdown-3.7 mbstrdecoder-1.1.3 numba-0.59.1 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-cu12-2.19.3 nvidia-nvjitlink-cu12-12.6.68 nvidia-nvtx-cu12-12.1.105 openai-1.47.0 optimum-1.17.1 pandas-2.2.2 pathvalidate-3.2.1 peft-0.12.0 portalocker-2.10.1 psutil-5.9.8 pycountry-24.6.1 pytablewriter-1.2.0 rich-13.8.1 rouge-1.0.1 rouge-score-0.1.2 ruff-0.6.6 sacrebleu-1.5.0 safetensors-0.4.5 scipy-1.14.0 semantic-version-2.10.0 sqlitedict-2.1.0 sse-starlette-1.6.5 tabledata-1.3.3 tcolorpy-0.1.6 tensorboard-2.17.1 tiktoken-0.7.0 tomlkit-0.12.0 torch-2.2.2 tqdm-4.66.5 tqdm-multiprocess-0.0.11 transformers-4.44.2 triton-2.2.0 typepy-1.3.2 wandb-0.18.1 websockets-11.0.3
Looking in indexes: https://download.pytorch.org/whl/cu121
Requirement already satisfied: torch==2.2.2 in /opt/conda/lib/python3.10/site-packages (2.2.2)
Collecting torch==2.2.2
Downloading https://download.pytorch.org/whl/cu121/torch-2.2.2%2Bcu121-cp310-cp310-linux_x86_64.whl (757.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 757.3/757.3 MB 2.1 MB/s eta 0:00:0000:0100:01
Collecting torchvision==0.17.2
Downloading https://download.pytorch.org/whl/cu121/torchvision-0.17.2%2Bcu121-cp310-cp310-linux_x86_64.whl (7.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.0/7.0 MB 1.8 MB/s eta 0:00:000:00:0100:01
Collecting torchaudio==2.2.2
Downloading https://download.pytorch.org/whl/cu121/torchaudio-2.2.2%2Bcu121-cp310-cp310-linux_x86_64.whl (3.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.4/3.4 MB 86.3 MB/s eta 0:00:00:00:01
Collecting xformers==0.0.26
Downloading https://download.pytorch.org/whl/cu121/xformers-0.0.26-cp310-cp310-manylinux2014_x86_64.whl (222.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 222.6/222.6 MB 7.7 MB/s eta 0:00:0000:0100:01
Requirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (3.15.1)
Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (4.12.2)
Requirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (1.13.2)
Requirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (3.3)
Requirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (3.1.4)
Requirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (2024.6.1)
Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (8.9.2.26)
Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.3.1)
Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (11.0.2.54)
Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (10.3.2.106)
Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (11.4.5.107)
Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.0.106)
Requirement already satisfied: nvidia-nccl-cu12==2.19.3 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (2.19.3)
Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (12.1.105)
Requirement already satisfied: triton==2.2.0 in /opt/conda/lib/python3.10/site-packages (from torch==2.2.2) (2.2.0)
Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from torchvision==0.17.2) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.10/site-packages (from torchvision==0.17.2) (10.4.0)
Requirement already satisfied: nvidia-nvjitlink-cu12 in /opt/conda/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.2.2) (12.6.68)
Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch==2.2.2) (2.1.5)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==2.2.2) (1.3.0)
WARNING: Error parsing requirements for pandas: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/pandas-2.2.2.dist-info/METADATA'
WARNING: Error parsing requirements for scipy: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/scipy-1.14.0.dist-info/METADATA'
Installing collected packages: torch, xformers, torchvision, torchaudio
Attempting uninstall: torch
Found existing installation: torch 2.2.2
Uninstalling torch-2.2.2:
Successfully uninstalled torch-2.2.2
Attempting uninstall: torchvision
Found existing installation: torchvision 0.19.0
Uninstalling torchvision-0.19.0:
Successfully uninstalled torchvision-0.19.0
Attempting uninstall: torchaudio
Found existing installation: torchaudio 2.4.0
Uninstalling torchaudio-2.4.0:
Successfully uninstalled torchaudio-2.4.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
easyocr 1.7.1 requires scipy, which is not installed.
fastai 2.7.16 requires pandas, which is not installed.
fastai 2.7.16 requires scipy, which is not installed.
stable-baselines3 2.1.0 requires pandas, which is not installed.
Successfully installed torch-2.2.2+cu121 torchaudio-2.2.2+cu121 torchvision-0.17.2+cu121 xformers-0.0.26
-----RUNNING SECTION-----
cmd = f"python server.py --api"
print(cmd)
!$cmd
----LOGS-----
python server.py --api
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /kaggle/working/text-generation-webui/server.py:40 in <module> │
│ │
│ 39 import modules.extensions as extensions_module │
│ ❱ 40 from modules import ( │
│ 41 chat, │
│ │
│ /kaggle/working/text-generation-webui/modules/training.py:20 in <module> │
│ │
│ 19 import transformers │
│ ❱ 20 from datasets import Dataset, load_dataset │
│ 21 from peft import ( │
│ │
│ /opt/conda/lib/python3.10/site-packages/datasets/__init__.py:17 in <module> │
│ │
│ 16 │
│ ❱ 17 from .arrow_dataset import Dataset │
│ 18 from .arrow_reader import ReadInstruction │
│ │
│ /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:75 in │
│ <module> │
│ │
│ 74 │
│ ❱ 75 from . import config │
│ 76 from .arrow_reader import ArrowReader │
│ │
│ /opt/conda/lib/python3.10/site-packages/datasets/config.py:38 in <module> │
│ │
│ 37 FSSPEC_VERSION = version.parse(importlib.metadata.version("fsspec")) │
│ ❱ 38 PANDAS_VERSION = version.parse(importlib.metadata.version("pandas")) │
│ 39 PYARROW_VERSION = version.parse(importlib.metadata.version("pyarrow")) │
│ │
│ /opt/conda/lib/python3.10/site-packages/packaging/version.py:49 in parse │
│ │
│ 48 try: │
│ ❱ 49 return Version(version) │
│ 50 except InvalidVersion: │
│ │
│ /opt/conda/lib/python3.10/site-packages/packaging/version.py:264 in __init__ │
│ │
│ 263 # Validate the version and parse it into pieces │
│ ❱ 264 match = self._regex.search(version) │
│ 265 if not match: │
╰──────────────────────────────────────────────────────────────────────────────╯
TypeError: expected string or bytes-like object
Describe the bug
from yesterday whichever those requirement and deps updated is broke up running oobabooga, before yesterday were working fine, anyone got idea what deps breaking it? I would love to rollback if possible. Installing code and logs are in logs canvas.
Is there an existing issue for this?
Reproduction
-git pull oobabooga on kaggle like google colab -Install requirements.txt dependencies -Run it and gives error now. (At logs)
Screenshot
No response
Logs
System Info