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Lapras gpu1 drop #129

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@jhgoh

gpu-brun 테스트중 lapras의 GPU1이 드랍됨.

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  1. added theissue type on Aug 25, 2026
  2. jhgoh commented on Aug 25, 2026

    @jhgoh
    MemberAuthor

    리붓 후 재 테스트중에도 GPU1이 drop됨.

  3. slowmoyang commented on Aug 31, 2026

    @slowmoyang
    ❯ hostname
    lapras.lo
    
    ❯ date
    Mon Aug 31 10:06:39 AM KST 2026
    
    ❯ nvidia-smi -i 1
    Unable to determine the device handle for GPU1: 0000:21:00.0: Unknown Error
    No devices were found
    
    ❯ uv run python -c "import torch;print(torch.__version__);print(torch.torch.cuda.device_count())"
    2.13.0+cu130
    /users/hep/slowmoyang/work/test-gpu/.venv/lib/python3.12/site-packages/torch/cuda/__init__.py:1112: UserWarning: Can't initialize NVML
      raw_cnt = _raw_device_count_nvml()
    /users/hep/slowmoyang/work/test-gpu/.venv/lib/python3.12/site-packages/torch/cuda/__init__.py:1170: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at /__w/pytorch/pytorch/c10/cuda/CUDAFunctions.cpp:119.)
      r = torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count
    0
    
    ❯ CUDA_VISIBLE_DEVICES=0,2,3 uv run python -c "import torch;print(torch.__version__);print(torch.torch.cuda.device_count())"
    2.13.0+cu130
    /users/hep/slowmoyang/work/test-gpu/.venv/lib/python3.12/site-packages/torch/cuda/__init__.py:1112: UserWarning: Can't initialize NVML
      raw_cnt = _raw_device_count_nvml()
    /users/hep/slowmoyang/work/test-gpu/.venv/lib/python3.12/site-packages/torch/cuda/__init__.py:1170: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at /__w/pytorch/pytorch/c10/cuda/CUDAFunctions.cpp:119.)
      r = torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count
    0
    
    ❯ CUDA_VISIBLE_DEVICES=0 uv run python -c "import torch;print(torch.__version__);print(torch.torch.cuda.device_count())"
    2.13.0+cu130
    /users/hep/slowmoyang/work/test-gpu/.venv/lib/python3.12/site-packages/torch/cuda/__init__.py:1112: UserWarning: Can't initialize NVML
      raw_cnt = _raw_device_count_nvml()
    /users/hep/slowmoyang/work/test-gpu/.venv/lib/python3.12/site-packages/torch/cuda/__init__.py:1170: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at /__w/pytorch/pytorch/c10/cuda/CUDAFunctions.cpp:119.)
      r = torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count
    0
  4. slowmoyang commented on Aug 31, 2026

    @slowmoyang

    reboot 해볼까요?

  5. slowmoyang commented on Aug 31, 2026

    @slowmoyang

    @jhgoh 직접 하신건가요?

  6. jhgoh commented on Aug 31, 2026

    @jhgoh
    MemberAuthor

    리붓완료

  7. jhgoh commented on Sep 19, 2026

    @jhgoh
    MemberAuthor

    다시 빨간불 들어와서 재부팅 함

  8. jhgoh commented on Oct 10, 2026

    @jhgoh
    MemberAuthor
    Image

    리부팅 시작.

  9. jhgoh commented on Oct 10, 2026

    @jhgoh
    MemberAuthor

    리붓 완료.

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