Lightning这个就是个框架，写好了DP，DDP这种让你直接调用，多卡的时候理论上和pytorch直接写DDP是一样的。有兴趣的话可以看看源代码（感觉没啥必要）。但是代码很简洁，单卡多卡不需要改核心代码，直接改GPU数量就可以。而且SLURM上提交任务可以auto resubmit，非常实用了。先上结论：取决于如何使用。DD
使用lightning,您只需设置节点数并提交适当的作业。以下是有关正确配置作业的深入教程:https://medium.com/@_willfalcon/trivial-multi-node-training-with-pytorch-lightning-ff75dfb809bd。 开箱即用的功能是这些你「不需要做任何事情就可以得到」的特性。这意味着你现在可能不需要它们中的大多数功能,但是当你需要...
My understanding is that the lightning will set the MASTER_ADDR of every node to localhost, but the kubernetes environment has set a default MASTER_ADDR when it starts and will be overwrite to localhost by lightning. I think it is not very reasonable as the MASTER_ADDR should be the same ...
Lightning还附带了一个SlurmCluster管理器,可助你简单地提交SLURM任务的正确细节。示例:https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/multi_node_cluster_template.py#L103-L134 10. 福利!更快的多GPU单节点训练 事实证明,分布式数据并行处理要比数据并行快得多,因为...
PyTorch Lightning Version: 1.5.4 PyTorch Version: 1.8.1 Python version : 3.8 OS: ubuntu 18.04 CUDA/cuDNN version: cuda11.1 cudnn8 GPU models and configuration: 1 * v100 gpu/node How you installed PyTorch: pip Additional context cc@awaelchli@ananthsub@ninginthecloud@rohitgr7@SeanNaren@akihir...
Lightning是基于Pytorch的一个光包装器,它可以帮助研究人员自动训练模型,但关键的模型部件还是由研究人员完全控制。 参照此篇教程,获得更有力的范例(https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/sing...
4 Pytorch-Lightning分布式训练 PL框架进行分布式训练，只需要通过修改pl.Trainer()中的参数即可将单机单卡...
Lightning是基于Pytorch的一个光包装器,它可以帮助研究人员自动训练模型,但关键的模型部件还是由研究人员完全控制。 参照此篇教程,获得更有力的范例:https://github.com/williamFalcon/pytorch-lightning/blob/master/examples/new_project_templates/single_gpu_node_template.py?source=post_page ...
Building The Medical Multi-Label Image Classification Pipeline Starting here, we will focus solely on coding and building the pipeline using pytorch-lightning. We are using lightning because it removes all the boilerplate code one must write in every project. Some of the benefits we experienced whe...
and attributes 'kwargs' and add it as a node to the current graph, returning the value representing the single output of this operator (see the `outputs` keyword argument for multi-return nodes). The set of operators and the inputs/attributes they take ...