否则,在多设备设置中,当使用DistributedSampler时,样本可能会重复,例如strategy="ddp"。它在一些设备上复制一些样本,以确保所有设备在输入不均匀的情况下具有相同的批大小。3.3.2 Validation Epoch-level Metrics如果需要使用每个validation_step()的所有输出,则重写 on_validation_epoch_end()函数。注意,这个方法在on_...
True, plugins=None, amp_backend='native', amp_level='O2', distributed_backend=None, move_metrics_to_cpu=False, multiple_trainloader_mode='max_size_cycle', stochastic_weight_avg=False) Log和return loss到底在做什么 To add a training loop use the training...
基本上就是编写一个自定义的DistributedSampler，并将其传递给dataloader，然后设置Trainer（replace_sampler_...
参数name (str) – key name value (Any) – value name prog_bar (bool) – if True logs to the progress bar logger (bool) – if True logs to the logger on_step (Optional[bool]) – if True logs at this step. None auto-logs at the training_step but not validation/test_step on_ep...
基本上就是编写一个自定义的DistributedSampler，并将其传递给dataloader，然后设置Trainer（replace_sampler...
True, plugins=None, amp_backend='native', amp_level='O2', distributed_backend=None, move_metrics_to_cpu=False, multiple_trainloader_mode='max_size_cycle', stochastic_weight_avg=False) Log和return loss到底在做什么 To add a training loop use the training_step method....
Refactor: clean trainer device & distributed getters (#5300) Simplified training phase as LightningEnum (#5419) Updated metrics to use LightningEnum (#5689) Changed the seq of on_train_batch_end, on_batch_end & on_train_epoch_end, on_epoch_end hooks (#5688) Refactored setup_training and...
tbptt_pad_token(int) – token to use for padding enable_graph(bool) – if True, will not auto detach the graph sync_dist(bool) – if True, reduces the metric across GPUs/TPUs sync_dist_op(Union[Any, ...
最后,第三部分提供了一个我总结出来的易用于大型项目、容易迁移、易于复用的模板,有兴趣的可以去GitHub— https:///miracleyoo/pytorch-lightning-template 试用。 核心 Pytorch-Lighting 的一大特点是把模型和系统分开来看。模型是像Resnet18, RNN之类的纯模型, 而系统定义了一组模型如何相互交互,如GAN(生成器网络与...
Refactor: clean trainer device & distributed getters (#5300) Simplified training phase as LightningEnum (#5419) Updated metrics to use LightningEnum (#5689) Changed the seq of on_train_batch_end, on_batch_end & on_train_epoch_end, on_epoch_end hooks (#5688) Refactored setup_training and...