Comments (3)
FrankLeeeee
commented on July 4, 2024
Hi, this is because you CUDA extension is not built. Can you make sure your PyTorch uses the same cuda version as your cuda runtime. One way is to add the -v flag to your pip install command. If cuda extension is not built, the log will tell you the info about the version mismatch.
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200987299
commented on July 4, 2024
Hi, this is because you CUDA extension is not built. Can you make sure your PyTorch uses the same cuda version as your cuda runtime. One way is to add the
-vflag to yourpip installcommand. If cuda extension is not built, the log will tell you the info about the version mismatch.
Hi, could you be more specific? I tried few times reinstalling all the stuff, but I failed every time. The pip -v install shown everything was fine.
Thanks
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binmakeswell
commented on July 4, 2024
Hi @200987299 We have updated and simplified the installation process, and the example code has been updated. You can try to reinstall, thanks.
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Related Issues (20)
- Problem with saving model state dict HOT 2
- BERT示例运行错误，ColossalAI-Examples/language/bert/sequene_parallel/ HOT 2
- 运行GPT2案例出现RuntimeError: Could not find 'SLURM_PROCID'问题，是必须要装SLURM环境？ HOT 1
- [Compatibility] Runining OPT using PyTorch 1.12 and Gemini placement_policy = 'cuda' failed HOT 3
- 当模型gradient_checkpointing时运行feature/zero/train_v2.py出错 HOT 5
- Cannot find the gradient handler example HOT 1
- BERT Data Preprocessing HOT 3
- ImportError: cannot import name 'colo_state_dict' from 'colossalai.utils.model.colo_init_context' HOT 1
- RuntimeError: CUDA out of memory with cifar10 in data_parallel example HOT 1
- The error happened when I did multi-node distributed training HOT 1
- ImportError running detr HOT 1
- question about import model_zoo.gpt.gpt as col_gpt HOT 2
- It seems the pipeline parallel document is out of date(https://www.colossalai.org/docs/features/pipeline_parallel) HOT 7
- there maybe some bug about the train_gpt.py(https://github.com/hpcaitech/ColossalAI-Examples/blob/main/language/gpt/train_gpt.py) HOT 5
- detr-debug pipelinable.py HOT 1
- Load ColossalAI GPT model as HuggingFace/Transformers Model HOT 2
- Outdated OPT example
- grad is none when run gpt2 with pipeline parallelism only
- cannot import name 'OPTForCausalLM'
- connection failure HOT 2
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