lightning_fabric.utilities.exceptions.MisconfigurationException: You called `self.log(val_reg_loss_refine, ...)` twice in `validation_step` with different arguments. This is not allowed 临时解决方案:进入到conda环境的对应文件夹中,修改result.py envs/xxxx/lib/python3.8/site-packages/pytorch_lightning...
原因是调用trainer.log_dir的时候,lightning会在所有节点做一次同步。因此必须所有节点都有这个log_dir的调用。只在主进程调用就会使程序卡死在这里。 这个最坑的地方在于,调用一次trainer.log_dir实在是太不起眼的操作了。而且要保存就意味着你还会有一些模型和数据相关的操作,一旦发生这个问题很难直接定位到这里,会...
PyTorch Lightning log使用 pytorch lsrm 目录 1. LSTM原理 1.1 Recurrent Neural Network 1.2 LSTM Network 1.3 The Core Idea Behind LSTMs 1.4 三个门控开关 1.4.1 LSTM:Forget gate 1.4.2 LSTM:Input gate and Cell state 1.4.3 LSTM:Output gate 1.5 LSTM如何解决梯度消失 2. LSTM Layer使用 2.1 nn.L...
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The train_loss_step or the value you can read from the tensorboard graph (you can set the log interval to 1 if you want) [1] https://pytorch-lightning.readthedocs.io/en/stable/new-project.html#logging Author sbp-dev commented Dec 24, 2020 Thanks for the reference, makes sense now!
It doesn't sound like that is intended behaviour in the docs https://pytorch-lightning.readthedocs.io/en/stable/logging.html#automatic-logging Setting on_epoch=True will cache all your logged values during the full training epoch and perform a reduction on_epoch_end. We recommend using the Met...
log_every_n_steps将每n个批次生成一次训练日志。如果on_step=True，则self.log将使用此值。如果您...
Lightning-AI/pytorch-lightningPublic Notifications Fork3.2k Star26.7k LilianaA1995started this conversation inGeneral Jun 7, 20221 comment Discussion options LilianaA1995 Jun 7, 2022 - I was trying to run this code for LabelMe data through CNN : ...
Lite: enables pure PyTorch users to scale their existing code on any kind of device while retaining full control over their own loops and optimization logic. Flash: The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, fine-tuning, and solving pr...
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes. - Add `step` parameter to `TensorBoardLogger.log_hyperparams` (#20176) · Lightning-AI/pytorch-lightning@1129d4c