#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow): #- PyTorch Lightning Version (e.g., 1.5.0): #- Lightning App Version (e.g., 0.5.2): #- PyTorch Version (e.g., 2.0): #- Python version (e.g., 3.9): #- OS (e.g., Linux):...
双等号(==) 符号检查松散相等,而三等号(===) 符号检查严格相等。不同之处在于 (==) 松散相等将...
(*args, **kwargs) File "/home/echo/p3.8-test/lib/python3.8/site-packages/pytorch_lightning/trainer/callback_hook.py", line 115, in on_epoch_end callback.on_epoch_end(self, self.lightning_module) File "./cube3/networks/lemmatizer.py", line 278, in on_epoch_end acc = metrics["...
on_validation_epoch_end on_validation_epoch_end是一个在每个验证轮次结束时被调用的方法。它在每次验证之后执行,可以用于计算和记录验证指标、生成日志、保存模型或进行其他需要在验证结束时执行的操作。 在使用 Pytorch-lightning 时,我们可以在LightningModule类中重写...
(self) -> None: pytorch_lightning/callbacks/base.py: def on_validation_epoch_start(self, trainer, pl_module): pytorch_lightning/trainer/callback_hook.py: def on_validation_epoch_start(self): pytorch_lightning/trainer/callback_hook.py: callback.on_validation_epoch_start(self, self.get_model...
class LitModel(pl.LightningModule): def __init__(self): super().__init__() self.layer_1 = torch.nn.Linear(28 * 28, 128) self.layer_2 = torch.nn.Linear(128, 10) def forward(self, x): x = x.view(x.size(0), -1) x = self.layer_1(x) x = F.relu(x) x = self.lay...