Open JonathanBhimani-Burrows opened 2 months ago
Any update on this? Is this a mistake on our side, or is this expected?
Same problem here!
Hey, I am facing the same problem!
I hope they fix, otherwise it is going to break a lot of my dependencies.
Do you know what is happening here @Borda ?
This seems as pypi issue =/ Why would you need this very old version?
In my case, I had some envs and projects with this version, so if someone wants to reproduce the results, I can at least guarantee that it is going to work; for the new version, I cannot say the same without re-run everything again with the latest version, which problem will not work due to lot of new modifications on the backend of the lib (like changes in some functions).
We have several models fpr our clients that use the older version For us to do a full migration, we would need to re-run all models for all clients to validate the results, and this is several weeks of work, which we do not have the time for now
Can try to install the version straight from pypi?
pip install https://files.pythonhosted.org/packages/ba/6b/1b3ce55d6b83d68abfecabdd4e36e72ebbde1367c4a1d43aad809951ed50/pytorch-lightning-1.6.5.tar.gz
Did you have any error in your side?
ps: maybe is my python version 3.8.19
Bug description
Hey everyone, I have been working on the same server for the past few months ( w/ RTX6000) without issue Recently, I tried to re-install lightning 1.5.10 (new virtual environment, python 3.9.18), and got the error below I tried versions up to 1.6.5 with the same error I can't use the newest version, as that will require a torch upgrade (currently using 1.13.1 due to specific versioning issues) This popped up in the last month, I'm wondering if anyone else is seeing this problem or if it is to be expected for some reason? Thanks, Jonathan
What version are you seeing the problem on?
v1.x
How to reproduce the bug
Error messages and logs
Environment
Current environment
```Current environment
* CUDA: - GPU: - NVIDIA RTX 6000 Ada Generation - available: True - version: 11.6 * Lightning: - pytorch-tabnet: 3.0.0 - torch: 1.13.1+cu116 - torchaudio: 0.13.1+cu116 - torchmetrics: 0.11.0 - torchvision: 0.14.1+cu116 * Packages: - absl-py: 1.3.0 - aiohttp: 3.8.3 - aiosignal: 1.3.1 - alembic: 1.13.2 - aniso8601: 9.0.1 - antlr4-python3-runtime: 4.9.3 - association-metrics: 0.0.1 - asttokens: 2.2.1 - async-timeout: 4.0.2 - attrs: 22.2.0 - autocommand: 2.2.2 - backcall: 0.2.0 - backports.tarfile: 1.2.0 - brotlipy: 0.7.0 - cachetools: 5.2.0 - category-encoders: 2.2.2 - certifi: 2020.6.20 - cffi: 1.17.0 - charset-normalizer: 2.1.1 - click: 8.1.3 - cloudpickle: 3.0.0 - comm: 0.1.2 - configparser: 5.3.0 - contourpy: 1.0.6 - cycler: 0.11.0 - databricks-cli: 0.17.4 - databricks-sdk: 0.30.0 - datasets: 2.10.1 - debugpy: 1.6.5 - decorator: 5.1.1 - deprecated: 1.2.14 - dill: 0.3.6 - docker: 7.1.0 - docker-pycreds: 0.4.0 - einops: 0.3.0 - entrypoints: 0.4 - executing: 1.2.0 - filelock: 3.9.0 - flask: 2.2.3 - fonttools: 4.38.0 - frozenlist: 1.3.3 - fsspec: 2022.11.0 - future: 0.18.2 - gitdb: 4.0.10 - gitpython: 3.1.30 - google-auth: 2.15.0 - google-auth-oauthlib: 0.4.6 - gputil: 1.4.0 - graphene: 3.3 - graphql-core: 3.2.3 - graphql-relay: 3.2.0 - greenlet: 3.0.3 - grpcio: 1.51.1 - gunicorn: 22.0.0 - huggingface-hub: 0.13.0 - idna: 3.4 - importlib-metadata: 6.0.0 - importlib-resources: 6.4.0 - inflect: 7.3.1 - ipykernel: 6.19.4 - ipython: 8.8.0 - ipywidgets: 8.0.4 - itsdangerous: 2.1.2 - jaraco.context: 5.3.0 - jaraco.functools: 4.0.1 - jaraco.text: 3.12.1 - jedi: 0.18.2 - jinja2: 3.1.4 - joblib: 1.2.0 - jupyter-client: 7.4.8 - jupyter-core: 5.1.2 - jupyterlab-widgets: 3.0.5 - kiwisolver: 1.4.4 - kornia: 0.7.3 - kornia-rs: 0.1.5 - llvmlite: 0.43.0 - mako: 1.3.5 - markdown: 3.4.1 - markupsafe: 2.1.1 - matplotlib: 3.6.2 - matplotlib-inline: 0.1.6 - mlflow: 2.15.1 - mlflow-skinny: 2.15.1 - more-itertools: 10.3.0 - multidict: 6.0.4 - multiprocess: 0.70.14 - nest-asyncio: 1.5.6 - numba: 0.60.0 - numpy: 1.24.2 - oauthlib: 3.2.2 - omegaconf: 2.3.0 - opentelemetry-api: 1.26.0 - opentelemetry-sdk: 1.26.0 - opentelemetry-semantic-conventions: 0.47b0 - ordered-set: 4.1.0 - packaging: 22.0 - pandas: 1.1.5 - parso: 0.8.3 - patsy: 0.5.3 - pexpect: 4.8.0 - pickleshare: 0.7.5 - pillow: 9.4.0 - pip: 24.2 - platformdirs: 2.6.2 - plotly: 4.14.3 - ply: 3.11 - promise: 2.3 - prompt-toolkit: 3.0.36 - protobuf: 3.20.3 - psutil: 5.9.4 - ptyprocess: 0.7.0 - pure-eval: 0.2.2 - pyarrow: 11.0.0 - pyasn1: 0.4.8 - pyasn1-modules: 0.2.8 - pycparser: 2.22 - pydeprecate: 0.3.1 - pygments: 2.14.0 - pyjwt: 2.6.0 - pyparsing: 3.0.9 - pyqt5-sip: 12.11.0 - python-dateutil: 2.8.2 - pytorch-tabnet: 3.0.0 - pytz: 2022.7 - pyyaml: 5.4.1 - pyzmq: 24.0.1 - querystring-parser: 1.2.4 - regex: 2022.10.31 - requests: 2.28.1 - requests-oauthlib: 1.3.1 - responses: 0.18.0 - retrying: 1.3.4 - rsa: 4.9 - scikit-learn: 1.2.0 - scipy: 1.10.0 - seaborn: 0.12.2 - sentry-sdk: 1.12.1 - setuptools: 72.1.0 - shap: 0.45.0 - shortuuid: 1.0.11 - six: 1.16.0 - slicer: 0.0.7 - smmap: 5.0.0 - sqlalchemy: 2.0.32 - sqlparse: 0.5.1 - stack-data: 0.6.2 - statsmodels: 0.13.5 - subprocess32: 3.5.4 - tabulate: 0.9.0 - tensorboard: 2.11.0 - tensorboard-data-server: 0.6.1 - tensorboard-plugin-wit: 1.8.1 - threadpoolctl: 3.1.0 - tokenizers: 0.13.2 - tomli: 2.0.1 - torch: 1.13.1+cu116 - torchaudio: 0.13.1+cu116 - torchmetrics: 0.11.0 - torchvision: 0.14.1+cu116 - tornado: 6.2 - tqdm: 4.64.1 - traitlets: 5.8.0 - transformers: 4.26.1 - typeguard: 4.3.0 - typing-extensions: 4.12.2 - urllib3: 1.26.13 - wandb: 0.10.11 - watchdog: 2.2.1 - wcwidth: 0.2.5 - webencodings: 0.5.1 - werkzeug: 2.2.2 - wheel: 0.43.0 - widgetsnbextension: 4.0.5 - wrapt: 1.16.0 - xxhash: 3.2.0 - yarl: 1.8.2 - zipp: 3.11.0 * System: - OS: Linux - architecture: - 64bit - ELF - processor: x86_64 - python: 3.9.18 - release: 6.2.0-37-generic - version: #38~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Nov 2 18:01:13 UTC 2 ```More info
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