No CUDA runtime is found, using CUDA_HOME=‘/usr/local/cuda-10.0‘

最新推荐文章于 2025-02-23 15:29:41 发布

农民小飞侠

最新推荐文章于 2025-02-23 15:29:41 发布

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分类专栏： pytorch

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今天在使用pytorch 跑pointnet++的时候，出现了下面的问题：

No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda-10.0'
/home/eric/anaconda3/lib/python3.6/site-packages/pointnet2_ops/pointnet2_utils.py:15: UserWarning: Unable to load pointnet2_ops cpp extension. JIT Compiling.
  warnings.warn("Unable to load pointnet2_ops cpp extension. JIT Compiling.")
Traceback (most recent call last):
  File "pointnet2/train.py", line 61, in <module>
    main()
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/main.py", line 24, in decorated_main
    strict=strict,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 174, in run_hydra
    overrides=args.overrides,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/_internal/hydra.py", line 86, in run
    job_subdir_key=None,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/plugins/common/utils.py", line 109, in run_job
    ret.return_value = task_function(task_cfg)
  File "pointnet2/train.py", line 54, in main
    distributed_backend=cfg.distrib_backend,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 438, in __init__
    self.data_parallel_device_ids = parse_gpu_ids(self.gpus)
  File "/home/eric/anaconda3/lib/python3.6/site-packages/pytorch_lightning/trainer/distrib_parts.py", line 712, in parse_gpu_ids
    gpus = sanitize_gpu_ids(gpus)
  File "/home/eric/anaconda3/lib/python3.6/site-packages/pytorch_lightning/trainer/distrib_parts.py", line 678, in sanitize_gpu_ids
    """)
pytorch_lightning.utilities.exceptions.MisconfigurationException: 
                You requested GPUs: [0]
                But your machine only has: []
            
➜  Pointnet2_PyTorch git:(master) ✗ python pointnet2/train.py task=cls
/home/eric/anaconda3/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/eric/anaconda3/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/eric/anaconda3/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/eric/anaconda3/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/eric/anaconda3/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/eric/anaconda3/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda-10.0'
/home/eric/anaconda3/lib/python3.6/site-packages/pointnet2_ops/pointnet2_utils.py:15: UserWarning: Unable to load pointnet2_ops cpp extension. JIT Compiling.
  warnings.warn("Unable to load pointnet2_ops cpp extension. JIT Compiling.")
Traceback (most recent call last):
  File "pointnet2/train.py", line 61, in <module>
    main()
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/main.py", line 24, in decorated_main
    strict=strict,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/_internal/utils.py", line 174, in run_hydra
    overrides=args.overrides,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/_internal/hydra.py", line 86, in run
    job_subdir_key=None,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/hydra/plugins/common/utils.py", line 109, in run_job
    ret.return_value = task_function(task_cfg)
  File "pointnet2/train.py", line 54, in main
    distributed_backend=cfg.distrib_backend,
  File "/home/eric/anaconda3/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 438, in __init__
    self.data_parallel_device_ids = parse_gpu_ids(self.gpus)
  File "/home/eric/anaconda3/lib/python3.6/site-packages/pytorch_lightning/trainer/distrib_parts.py", line 712, in parse_gpu_ids
    gpus = sanitize_gpu_ids(gpus)
  File "/home/eric/anaconda3/lib/python3.6/site-packages/pytorch_lightning/trainer/distrib_parts.py", line 678, in sanitize_gpu_ids
    """)
pytorch_lightning.utilities.exceptions.MisconfigurationException: 
                You requested GPUs: [0]
                But your machine only has: []