Open vpozdnyakov opened 1 year ago
I'm getting the same error. However, mine is because I am trying to use Typer/Click as the entrypoint to my application.
I have no idea how to easily solve this apart from not saving hyperparameters at all or not using Typer/Click.
I was able to patch it with:
local_args = {k: local_vars[k] for k in init_parameters if k in local_vars}
I'm not sure if there are any wider ramifications of this approach, and I am not entirely sure what this is doing, but I'd be happy to submit a PR with some guidance?
I had a similar issue and found a solution. In your case you could try to create a function like:
def create_model():
return LightningModel(hidden_dim=2)
and use it in Model.fit
method.
I also found this issue too. I think the crux of it is that if you call super()
at any point during a method that isnt __init__
then __class__
is added to the local variables. When this happens then the recursive arg parser https://github.com/Lightning-AI/pytorch-lightning/blob/dcb91d53d2133b4db1bf3201b4f965646dea76fd/src/lightning/pytorch/utilities/parsing.py#L136
assumes that Model
is a subclass of LightningModel
and so it should pull out the initialisation variables from Model.__init__(...)
and add them to the dict of variables to be saved. The problem here is that we aren't in Model.__init__(...)
so the initialisation variables are not present in the local variables.
I think this
I'm getting the same error. However, mine is because I am trying to use Typer/Click as the entrypoint to my application.
I have no idea how to easily solve this apart from not saving hyperparameters at all or not using Typer/Click.
I was able to patch it with:
local_args = {k: local_vars[k] for k in init_parameters if k in local_vars}
I'm not sure if there are any wider ramifications of this approach, and I am not entirely sure what this is doing, but I'd be happy to submit a PR with some guidance?
is the best approach, but alternatively there could be a check to make sure that we are in the init method before calling local args
if "__class__" in local_vars and (not classes or isinstance(local_self, classes)) and frame.f_back.f_code.co_name == "__init__":
Bug description
KeyError
occurs when I try to save hyperparameters in a subclass which initializes LightningModule.What version are you seeing the problem on?
v2.0
How to reproduce the bug
Error messages and logs
Environment
Current environment
* CUDA: - GPU: None - available: False - version: 11.8 * Lightning: - lightning: 2.0.7 - lightning-cloud: 0.5.37 - lightning-utilities: 0.9.0 - pytorch-lightning: 2.0.7 - torch: 2.0.1+cu118 - torchaudio: 2.0.2+cu118 - torchdata: 0.6.1 - torchmetrics: 1.1.0 - torchsummary: 1.5.1 - torchtext: 0.15.2 - torchvision: 0.15.2+cu118 * Packages: - absl-py: 1.4.0 - aiohttp: 3.8.5 - aiosignal: 1.3.1 - alabaster: 0.7.13 - albumentations: 1.3.1 - altair: 4.2.2 - annotated-types: 0.5.0 - anyio: 3.7.1 - appdirs: 1.4.4 - argon2-cffi: 23.1.0 - argon2-cffi-bindings: 21.2.0 - array-record: 0.4.1 - arrow: 1.2.3 - arviz: 0.15.1 - astropy: 5.3.2 - astunparse: 1.6.3 - async-timeout: 4.0.3 - attrs: 23.1.0 - audioread: 3.0.0 - autograd: 1.6.2 - babel: 2.12.1 - backcall: 0.2.0 - backoff: 2.2.1 - beautifulsoup4: 4.11.2 - bleach: 6.0.0 - blessed: 1.20.0 - blinker: 1.4 - blis: 0.7.10 - blosc2: 2.0.0 - bokeh: 3.2.2 - branca: 0.6.0 - build: 0.10.0 - cachecontrol: 0.13.1 - cachetools: 5.3.1 - catalogue: 2.0.9 - certifi: 2023.7.22 - 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traitlets: 5.7.1 - triton: 2.0.0 - tweepy: 4.13.0 - typer: 0.9.0 - types-setuptools: 68.1.0.0 - typing-extensions: 4.7.1 - tzlocal: 5.0.1 - uc-micro-py: 1.0.2 - uritemplate: 4.1.1 - urllib3: 2.0.4 - uvicorn: 0.23.2 - vega-datasets: 0.9.0 - wadllib: 1.3.6 - wasabi: 1.1.2 - wcwidth: 0.2.6 - webcolors: 1.13 - webencodings: 0.5.1 - websocket-client: 1.6.2 - websockets: 11.0.3 - werkzeug: 2.3.7 - wheel: 0.41.2 - widgetsnbextension: 3.6.5 - wordcloud: 1.9.2 - wrapt: 1.14.1 - xarray: 2023.7.0 - xarray-einstats: 0.6.0 - xgboost: 1.7.6 - xlrd: 2.0.1 - xyzservices: 2023.7.0 - yarl: 1.9.2 - yellowbrick: 1.5 - yfinance: 0.2.28 - zict: 3.0.0 - zipp: 3.16.2 * System: - OS: Linux - architecture: - 64bit - ELF - processor: x86_64 - python: 3.10.12 - release: 5.15.109+ - version: #1 SMP Fri Jun 9 10:57:30 UTC 2023More info
It works if I change the name of a subclass function to
__init__
.