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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Hope this issue post would be helpful to others who suffer from similar problem.
I am trying to run `examples/pretrain_gpt_distributed_with_mp.sh`, but when pipeline model parallelism is enabled, the…
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2024-06-19 15:08:43 INFO Loading settings from ./outputs/config_lora-20240619-150835.toml... train_util.py:3744
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Thanks for creating this comparison page. I think it will be usefull for many people.
Few comments:
1. CNTK Multi-GPU. The paper you mentioned only presents results for fully-connected networks. And i…
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#24 adds a multi-GPU PyTorch example that demonstrates how to use Distributed Data Parallel training. However, training with multiple GPUs does not speed up training in the example. See https://gith…
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stable diffusion webui works just fine, I've got automatic1111 and other forks all working just fine on this machine.
╭─────────────────────────────── Traceback (most recent call last) ────────────…
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Hi, I want to report a issue that I found while running mlm.sh for deberta-base.
## Description
- Using mlm.sh script for distributed training with more than 1 nodes causes a hang.
- I have tracked…
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By setting up multiple Gpus for use, the model and data are automatically loaded to these Gpus for training. What is the difference between this way and single-node multi-GPU distributed training?
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### Describe the bug
I am trying to train Wav2Vec2 with multi-GPUs (8 A100s). However running the line below leads to a warning and the training freezes after the first step in an epoch.
`torchrun…
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Hi, thanks for the incredible library! We've been using pytorch metric learning for a task which requires around 300,000 images belonging to a lot of classes. We're quite new to metric learning and DD…