-
Notifications
You must be signed in to change notification settings - Fork 177
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add Python 3.12 to the CI #230
Comments
This issue has not seen any recent activity. |
Following libraries have been already archived will not support python 3.12.
Following libraries does not (officially) support python 3.12 for now.
Following libraries have newly supported python 3.12 recently. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
I investigated the current status of the unaddressed items above partially with my local env (mac): tfkerasIt works w/ python 3.12 but an example shows a warning message every trial as follows: python tfkeras/tfkeras_integration.py
...
2024-08-03 14:53:51.516660: W tensorflow/core/kernels/data/cache_dataset_ops.cc:913] The calling iterator did not fully read the dataset being cached. In order to avoid unexpected truncation of the dataset, the partially cached contents of the dataset will be discarded. This can happen if you have an input pipeline similar to `dataset.cache().take(k).repeat()`. You should use `dataset.take(k).cache().repeat()` instead. Similarly, python tfkeras/tfkeras_simple.py
[I 2024-08-03 14:59:38,046] A new study created in memory with name: no-name-b1748d29-9666-4ad1-96d8-2d95c2ea4b00
/opt/homebrew/Caskroom/miniconda/base/envs/optuna-312/lib/python3.12/site-packages/keras/src/layers/convolutional/base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.
super().__init__(activity_regularizer=activity_regularizer, **kwargs) rayStill ongoing task according to ray-project/ray#40211. lightgbmIt supports Python 3.12. But similar to the python lightgbm/lightgbm_tuner_cv.py
[I 2024-08-03 15:04:28,351] A new study created in memory with name: no-name-a3244a73-6d43-41e9-954e-1f3494e21ac4
feature_fraction, val_score: inf: 0%| | 0/7 [00:00<?, ?it/s]
/optuna-312/lib/python3.12/site-packages/sklearn/model_selection/_split.py:91: UserWarning: The groups parameter is ignored by KFold
warnings.warn(
Training until validation scores don't improve for 100 rounds and terminator example stopped at the trial 19 locally. |
This issue has not seen any recent activity. |
This issue has not seen any recent activity. |
Motivation
Sub-task of optuna/optuna#5000.
Description
see the title of this issue.
Alternatives (optional)
Additional context (optional)
Here is a list of the target yaml files under
.github/workflows
.aim.yml
allennlp.yml
base.yml
catboost.yml
chainer.yml
checks.yml
dashboard.yml
dask.yml
dask_ml.yml
fastai.yml
haiku.yml
hiplot.yml
hydra.yml
keras.yml
lightgbm.yml
mlflow.yml
multi_objective.yml
mxnet.yml
pytorch.yml
ray.yml
rl.yml
samplers.yml
skimage.yml
sklearn.yml
stale.yml
tensorboard.yml
tensorflow.yml
terminator.yml
tfkeras.yml
visualization.yml
wandb.yml
xgboost.yml
I've checked listings addressed by #214 and have not removed the deprecated library's examples yet.
The text was updated successfully, but these errors were encountered: