Comments (6)
Temporary workaround:
pip install accelerate==0.15.0
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@Scitator Sorry for the ping, any chance this might get looked at?
Kaggle is stuck on an old version of accelerate currently to keep catalyst, but thats hurting some other package installs.
We may have to drop catalyst support if we can't upgrade accelerate.
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Wow, thanks for the super fast reply!
In fact my code doesn't run into this issue, yet, so I am pretty relaxed about it, but I had to mention it since it seems like this line, and the respective ones in get_available_engine()
have been forgotten during the updates.
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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Is there any plan to fix this issue? We need to use a later version of accelerate
.
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Related Issues (20)
- Dependency `packaging` not specified — ModuleNotFoundError HOT 2
- os.environ["CUDA_VISIBLE_DEVICES"] = "" does not use CPU HOT 5
- comprehensive classification example HOT 3
- `runner.evaluate_loader` does not work with DataParallelEngine HOT 4
- How to enforce WandbLogger::log_artifact to be invoked? HOT 2
- Idea: offload all launch-related code Accelerate HOT 2
- Custom loader stages HOT 1
- Crashes on 2xT4 GPUs HOT 3
- utils.process_model_params HOT 2
- Multi Criterion Training HOT 4
- No utils.initialization file HOT 3
- DynamicBalanceClassSampler example does not use sampler HOT 1
- Replace getters with properties HOT 1
- Bug in catalyst/callbacks/backward.py if the grad_clip_fn value is set. HOT 2
- Bug in catalyst/callbacks/backward.py if the grad_clip_fn value is set. HOT 1
- Bug in catalyst/callbacks/backward.py if the grad_clip_fn value is set. HOT 1
- `DataParallelEngine.prepare_model` missing `device_placement` kwarg. HOT 2
- Columns and DataType Not Explicitly Set on line 96 of report.py HOT 2
- Importing DistributedSamplerWrapper will invalidate the setting CUDA_VISIBLE_DEVICE. HOT 1
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