7B的ckpt保存加速23.6x, 148.8 -> 6.3 秒, Reducing Model Checkpointing Times by Over 10x with PyTorch Distributed Asynchronous Checkpointing 异步ckpt保存:PyTorch Lightning 2.4.0 documentation Asynchronous Saving with Distributed Checkpoint (DCP) Zero-Overhead Checkpointing(to do):反向传播时将模型权重直接...
PyTorch Lightning Save model: from lightning import Trainer from litmodels import upload_model from litmodels.demos import BoringModel # Configure Lightning Trainer trainer = Trainer(max_epochs=2) # Define the model and train it trainer.fit(BoringModel()) # Upload the best model to cloud ...
🐛 Bug I'm trying to save and restore the state of both a model and a pytorch-lightning trainer. I suspect the epoch count is wrong because I'm not able to save and restore several times with the same max_epoch count. Here's what I do: St...
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load_from_checkpoint(path, model=my_backbone) Does that make sense? Docs: pytorch-lightning.readthedocs.io/en/latest/common/hyperparameters.html#excluding-hyperparameters Thanks for your suggestion, this should work when the whole pipeline is done in one Python script. However, I might need to ...
Support forcleanadded toEnsembleModel.save()andConformalModel.save() These changes lead to a refactoring ofTorchForecastingModel.load(): 🔴 Deprecatelocation_mapparameter which had no effect. Addpl_trainer_kwargsparameter to create a new PyTorch Lightning Trainer used for prediction, etc. Hardware...
print(f"=== Training {config['model_params']['name']} ===") runner.fit(experiment) What's your environment? I'm running Python3.8-64 bit with the latest PyTorch, PyTorch-Lightning packages, in Windows 10. Thank you! That resolved my original issue! I see that the other Trainer ...
"pytorch-lightning==1.9.4", "pytorch-triton-rocm==2.1.0+dafe145982", "pytz==2023.3.post1", "pywavelets==1.5.0", "pyyaml==6.0.1", "realesrgan==0.3.0", "referencing==0.32.0", "regex==2023.10.3", "reportlab==4.0.7",
lightning: 2.0.5 lightning-cloud: 0.5.37 lightning-utilities: 0.9.0 pytorch-ignite: 0.4.12 pytorch-lightning: 2.0.4 torch: 2.0.0 torchaudio: 2.0.1 torchdata: 0.6.0 torchinfo: 1.8.0 torchmetrics: 1.0.0 torchtext: 0.15.1 torchvision: 0.15.1 Packages: absl-py: 1.4.0 accelerate: 0.20...
This issue is affecting the PyTorch Lightning CI for the python 3.9 jobs. Fatal Python error: PyEval_SaveThread: the function must be called with the GIL held, but the GIL is released (the current Python thread state is NULL)Python runtime state: finalizing (tstate=0x7ffe75409ca0) ...