import os import pytorch_lightning as pl class CheckpointEveryNSteps(pl.Callback): """ Save a checkpoint every N steps, instead of Lightning's default that checkpoints based on validation loss. """ def __init__( self, save_step_frequency, prefix="N-Step-Checkpoint", use_modelcheckpoint_...
异步ckpt保存:PyTorch Lightning 2.4.0 documentation Asynchronous Saving with Distributed Checkpoint (DCP) Zero-Overhead Checkpointing(to do):反向传播时将模型权重直接流式传输到 CPU,而不是等到反向传播完成后再触发异步检查点操作。当训练到达异步检查点时,数据已经在 CPU 上,直接省去ckpt保存时间。 https://...
pytorch_lightning.utilities.exceptions.MisconfigurationException: you restored a checkpoint with current_epoch=2 but the Trainer(max_epochs=1) Code below to reproduce. What am I doing wrong? this should be a possible scenario right? Thanks!
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Lightning: lightning: 2.0.5 lightning-cloud: 0.5.37 lightning-utilities: 0.9.0 pytorch-ignite: 0.4.12 pytorch-lightning: 2.0.4 torch: 2.0.0 torchaudio: 2.0.1 torchdata: 0.6.0 torchinfo: 1.8.0 torchmetrics: 1.0.0 torchtext: 0.15.1 torchvision: 0.15.1 Packages: absl-py: 1.4.0 accel...
cli = LightningCLI(..., save_config_kwargs={"config_filename": "name.yaml"})It is also possible to extend the :class:`~lightning.pytorch.cli.SaveConfigCallback` class, for instance to additionally save the config in a logger. An example of this is:...
"pytorch-lightning==1.9.4", "pytorch-triton-rocm==2.1.0+dafe145982", "pytz==2023.3.post1", "pywavelets==1.5.0", "pyyaml==6.0.1", "realesrgan==0.3.0", "referencing==0.32.0", "regex==2023.10.3", "reportlab==4.0.7", "requests-oauthlib==1.3.1", "requests==2.28.1", "resi...
load_from_checkpoint(path, model=my_backbone) Does that make sense? Docs: pytorch-lightning.readthedocs.io/en/latest/common/hyperparameters.html#excluding-hyperparameters Thanks for your suggestion, this should work when the whole pipeline is done in one Python script. However, I might need to ...
This method is redundant as we also have save_checkpoint inside the training type plugin as well: https://github.com/PyTorchLightning/pytorch-lightning/blob/6de66eb110a63d67dc2ebb74e149981cd93aa431/pytorch_lightning/plugins/training_type/training_type_plugin.py#L269-L279 Therefore, the plugin ...
PyTorch version (GPU?): 2.1.0+cu118 (True) Tensorflow version (GPU?): not installed (NA) Flax version (CPU?/GPU?/TPU?): not installed (NA) Jax version: not installed JaxLib version: not installed Using GPU in script?: A6000 Using distributed or parallel set-up in script?: Single GP...