Comments (2)
@hobogalaxy Hi!
Think you for your continuous work, and I almost finished my reimplementation to liif use this template (for code component, now the documentation is poor). You can check here to see if there are any good or not good style practice.
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@LuoXin-s that's awesome.
I think It's better to have parameters in model and datamodule specified explicitly instead of relying or ModuleName(*args, **kwargs)
- this is how it's currently implemented in the template mnist example but I will be changing that, since not specyfing params makes it difficult to reuse modules across different projects.
Btw. you're welcome to post here any project you like but please do it in separate issues or in discussions
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Related Issues (20)
- Logging step being called twice? HOT 1
- Couldn't log learning rate HOT 1
- locate saved checkpoints from mlfow run id
- Issue with "best ckpt" absolute paths during fine-tuning and continue training
- Inconsistency between train.py and src/train.py in Readme
- Adjust pre-commit mdformat for inline math
- Override hydra config group with none/null HOT 2
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- please support dynamically selecting config_name HOT 5
- RuntimeError when using profiler.
- test failed with importlib_resources==6.3.1 (required by hydra-core)
- Proper type hint for init method in class MNISTLitModule(LightningModule)
- Problems with DDP + Optuna
- Error loading path
- Interpolation key 'experiment_name' not found HOT 2
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- Integrating hyperparameter search with aim logging
- Implementation of inference function
- lr_scheduler config issue
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