于是首先简单粗暴直接重装了pytorch_lightning,装成2.1版本,报错还存在,版本不匹配这个可能性,也查过了,匹配, 那么就剩下一个了:导入错误,导入方式‘from pytorch_lightning.utilities.seed import seed_everything’不适用了,查找官方网址,改成‘from pytorch_lightning import Li
pytorch_lightning.utilities.seed.seed_everything 函数用于设置 PyTorch、NumPy 和 Python 的随机种子,以确保实验的可重复性。这意味着在多次运行相同的代码时,由于随机数生成器的一致性,你将得到相同的结果。 2. 为什么需要使用 seed_everything 函数 在深度学习和机器学习中,许多操作依赖于随机数生成,例如权重初始...
pl_seed.seed_everything(random_seed) 1. 在上面的代码中,我们调用了seed_everything方法,并传入了之前设置的随机种子。这样,我们就完成了使用seed_everything方法的操作。 总结起来,使用seed_everything' from 'pytorch_lightning.utilities.seed方法的流程如下: 导入相关库。 设置随机种子。 使用seed_everything方法。
🐛 Bug There is a bug in pl.utilities.seed.seed_everything(). The problem is here: https://github.com/PyTorchLightning/pytorch-lightning/blob/1.0.5/pytorch_lightning/utilities/seed.py#L44 If None is passed as a seed: seed = os.environ.get...
# Seed everything for reproducibility. pl.seed_everything(42, workers=True) model = ProteinModel( model_name=TrainingConfig.MODEL_NAME, num_classes=DatasetConfig.NUM_CLASSES, freeze_backbone=TrainingConfig.FREEZE_BACKBONE, init_lr=TrainingConfig.INIT_LR, ...
🐛 Bug When I start training on 2 opus using pytorch-lightning 1.4.1 the training crashes after a few epochs. Note that this happens only on 1.4.1 If I run my code using pytorch-lightning 1.4.0 everything works fine. There are multiple ve...
After training, we can see that our test accuracy was 80% — not bad considering we haven’t given the model architecture much thought. Let’s explore our working directory: PyTorch Lightning project working directory. The checkpoints and lightning_logs directories show that everything worke...
Everything in gray! You define the blue parts using the LightningModule interface: # what to do in the training loopdeftraining_step(self, data_batch, batch_nb):# what to do in the validation loopdefvalidation_step(self, data_batch, batch_nb):# how to aggregate validation_step outputsdef...
Reset current_fx properties on lightning module in teardown (#7247) Auto-set DataLoader.worker_init_fn with seed_everything (#6960) Remove model.trainer call inside of dataloading mixin (#7317) Split profilers module (#6261) Ensure accelerator is valid if running interactively (#5970) Disabled...
from lightning_fabric.utilities.seed import seed_everything # noqa: E402 ^^^ File "/Users/{USER_NAME}/miniforge3/envs/{ENV}/lib/python3.11/site-packages/lightning_fabric/__init__.py", line 23, in <module> from lightning_fabric.fabric import Fabric # noqa: E402 ^^^ File "/Users/...