torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 39.5k
- Forks
- 4.8k
- PR merge metrics
- No merged PRs in 30d
Description
parameters is ：
torchrun --nproc_per_node=1 --master_port=20001 FastChat/fastchat/train/train_mem.py --model_name_or_path /home/wanghaikuan/vicuna-7b --data_path /home/wanghaikuan/chat/playground_data_dummy.json --bf16 False --output_dir output --num_train_epochs 3 --per_device_train_batch_size 2 --per_device_eval_batch_size 2 --gradient_accumulation_steps 16 --evaluation_strategy "no" --save_strategy "steps" --save_steps 1200 --save_total_limit 10 --learning_rate 2e-5 --weight_decay 0. --warmup_ratio 0.03 --lr_scheduler_type "cosine" --logging_steps 1 --fsdp "full_shard auto_wrap" --fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' --tf32 False --model_max_length 2048 --gradient_checkpointing True --lazy_preprocess False
platform： v100 with 2 cards
memory： 256G
python3.9 cuda：11.7
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the reported torchrun command and the ChildFailedError from FastChat/fastchat/train/train_mem.py. The issue lists the hardware, Python, and CUDA versions but does not include the child-process traceback or a specific expected change. Collect the complete failure output before determining what would constitute a fix.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100