Comments (16)
FYI: MXNet has been archived since 18 Nov. 2023, so the incompatibility with numpy will not be addressed anymore on the MXNet side.
from optuna-examples.
It seems Python 3.11 is now supported by tensorflow
. See tensorflow/tensorflow#58032 for more detail.
from optuna-examples.
It is possible to run MXNet
tests in Python 3.11
, but it is necessary to install Numpy<1.24.0
. To add to the Python 3.11
job to MXNet
CI, reversing the order of the dependency list in mxnet/requirements.txt
suffices. This is because Numpy>=1.24.0
is actually installed before running pip install -r requirements.txt
in the CI, and it is necessary to reinstall Numpy<1.24.0
before the CI installs MXNet
. For more details, please refer to Alnusjaponica#1.
from optuna-examples.
All except MXNet have been supported, and MXNet has finished development. Therefore, Python 3.11 support is considered complete. Thank you for your contributions!
from optuna-examples.
Are all of them done?
from optuna-examples.
@Kaushik-Iyer As in the issue description, we need to wait for third party libraries' python 3.11 support.
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
tensorflow now supports 3.11, see optuna/optuna#3964 (comment)
All examples blocked by tensorflow might be worth revisiting. While I haven't checked for possible errors, please let me mark this issue as contribution welcome for others to try picking it up. Please let me know if there are uncertainties.
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
Same as PyTorch
(pytorch/pytorch#86566) and Numba
(numba/numba#8304)
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
It seems the development of MXNet
has stopped before the release of python 3.11 and the test does not pass.
Therefore, it will be enough to close this issue after #214 is merged.
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
This issue has not seen any recent activity.
from optuna-examples.
Related Issues (20)
- Using multiple RL environments with Optuna HOT 19
- AttributeError: 'Trainer' object has no attribute 'training_type_plugin' HOT 5
- Implement cross-validation examples for Optuna Terminator 🤖 HOT 3
- Add `plot_rank` and `plot_timeline` to visualisation examples HOT 2
- Trial Fail HOT 1
- Optuna DDP with Slurm Cluster HOT 1
- License of the optuna-examples repo? HOT 2
- optuna.integration.XGBoostPruningCallback is not xgboost TrainingCallback HOT 2
- Updating the PyTorch Lightning example to >= 2.0 HOT 5
- Pruning Not Working in Pytorch HOT 1
- Support Lighting instead/besides Pytorch Lighting HOT 1
- Flax example HOT 2
- optuna-examples/xgboost /xgboost_integration.py error HOT 1
- Add `README.md` to `./dashboard` HOT 3
- Pruning only on some models? HOT 2
- Add Python 3.12 to the CI HOT 11
- Add README to each directory if it contains multiple examples HOT 2
- XGBoost callback problem HOT 2
- The problem of DDP training with pytorch lightning HOT 1
- NSGAIISampler number trials per generation HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from optuna-examples.