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NCCL timeout while doing multi gpu training
bugdistributedhelp wantedrepro neededver: 2.4.x
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倉庫議題
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
議題
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Make logging_mode (`on_step` or `on_epoch`) available to loggers
featurehelp wanted
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Confusing recommendation to use sync_dist=True even with TorchMetrics
bughelp wantedloggingver: 2.2.x
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training time increase epoch by epoch
bughelp wantedperformancerepro neededver: 2.2.x
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enable loading `universal checkpointing` checkpoint in `DeepSpeedStrategy`
featurehelp wantedstrategy: deepspeed
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trainer.test() with given checkpoint logs last epoch instead of checkpoint epoch
bughelp wantedrepro needed
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ModelCheckpoint could not find key in returned metrics
bugcallback: model checkpointhelp wantedver: 2.1.x
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[Fabric Lightning] Named barriers
distributedfeaturehelp wanted
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Returning num_replicas=world_size when using distributed sampler in ddp
distributedduplicatefeaturehelp wantedstrategy: ddp
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neptune.ai logger produces lots of errors when logging "training/epoch"
bughelp wantedlogger: neptune
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`configure_model` is incompatible with the `BaseFinetuning` behavior when fitting
bugcallback: finetuninghelp wantedver: 2.1.x
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`batch_sampler.batch_size` is None with deepspeed and `DataLoader(batch_size=None)`
bughelp wantedstrategy: deepspeed
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Potential off by 1 error when resuming training of mid-epoch checkpoint
bughelp wantedloopsver: 2.1.x
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Support skipping the first iteration time in process bar
featurehelp wantedprogress bar: tqdmtorch.compile
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Support `DDP(static_graph=True)` and gradient accumulation
help wantedstrategy: ddp
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ignore_modules in Quantization via Bitsandbytes
featurehelp wantedprecision: bnb
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Loggers fails to create metrics.csv file when running on multiple TPU cores
bughelp wantedstrategy: xlaver: 2.2.x
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Downloading artifacts with wandblogger in DDP case failing on non-zero rank processes
bughelp wantedlogger: wandbver: 2.1.x
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