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Hi, first of all, thank you for this cool work! It's impressive and I appreciate the effort you've put into it.
I have a question about using Flora with DDP. Have you tried Flora to train 7B with DDP…
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### Please DO NOT LINK / ATTACH YOUR PROJECT FILES HERE
**Describe the issue**
A clear and concise description of what the issue is.
**Your Setup (please complete the following information):**
…
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Hi,
I'm having some issues with the training for blendedmvs using DDP mode.
`Traceback (most recent call last):
File "train.py", line 265, in
mp.spawn(main, nprocs=args.world_size, args=(…
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What's the "best-practice" for configuring CachedMultipleNegativesRankingLoss when used for DDP. Say for example I have 3000 unique `positive` labels in my dataset, and I'm training using DDP on a sin…
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I always failed with the line https://github.com/TencentARC/SEED-Story/blob/c1c08a09bfbfdfd3b1f568fc4420c6ccf83f2db5/src/train/train_clm_sft.py#L204. Could you please build a new environment and train…
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To investigate the feasibility and break down the requirements for reintroducing the AppleTalk into the main Netatalk development branch.
# Background
AppleTalk / DDP and associated daemons and to…
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[h264 @ 0x16543c00] Missing reference picture, default is 65562
[h264 @ 0x16543c00] mmco: unref short failure
[h264 @ 0x16543c00] mmco: unref short failure
[h264 @ 0x16543c00] Missing reference pic…
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# pytorch分布式训练
### 并行策略
1. 分布式训练根据并行策略的不同,可以分为模型并行和数据并行。
- 模型并行:模型并行主要应用于模型相比显存来说更大,一块 GPU 无法加载的场景,通过把模型切割为几个部分,分别加载到不同的 GPU 上,来进行训练
- 数据并行:这个是日常会应用的比较多的情况。即每个 GPU 复制一份模型,将一批样本分为多份分发到各个GPU模型并行计算…
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## 🐛 Bug
We trained a model for several epochs on multiple nodes, and we wanted to continue training with PyTorch Lightning and LitData.
✅ When we resume training on a single device, resumption …
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### Description
If you try to integrate this `EmbeddedChat` package into a React application created using `create-react-app`, as soon as you log in, you will encounter a warning or error similar t…