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PaddlePaddle / PaddleX

PaddlePaddle End-to-End Development Toolkit（飞桨低代码开发工具）

Home Page:https://paddlex.readthedocs.io

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paddlex无法使用gpu训练，4060的显卡

Sunny2884 opened this issue · comments

commented

Checklist:

  1. 查找历史相关issue寻求解答
  2. 翻阅FAQ常见问题汇总和答疑
  3. 确认bug是否在新版本里还未修复
  4. 如果bug是由PaddleX API 2.0导致，且该bug在develop分支里已修复，参考FAQ Q4替换内置PaddleX API

描述问题

复现

  1. 请提供您出现的报错信息及相关log（log的查找见 FAQ Q2）
    This log file path is D:\software\paddlex\projects\P0001\T0037\err.log
    注意：标志为WARNING/INFO类的仅为警告或提示类信息，非错误信息
    D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\tensor\creation.py:130: DeprecationWarning: np.object is a deprecated alias for the builtin object. To silence this warning, use object by itself. Doing this will not modify any behavior and is safe.
    Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
    if data.dtype == np.object:
    Process Process-1:2:
    Traceback (most recent call last):
    File "multiprocessing\process.py", line 297, in _bootstrap
    File "multiprocessing\process.py", line 99, in run
    File "paddlexui\pms\model_tasks\tasks.py", line 73, in _call_paddlex_train
    File "paddlexui\pms\model_tasks\train\classification.py", line 118, in train
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddlex\cv\models\classifier.py", line 888, in init
    model_name=model_name, num_classes=num_classes, **params)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddlex\cv\models\classifier.py", line 70, in init
    self.net = self.build_net(**params)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddlex\cv\models\classifier.py", line 75, in build_net
    **params)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddlex\ppcls\arch\backbone\legendary_models\pp_lcnet.py", line 352, in PPLCNet_x1_0
    model = PPLCNet(scale=1.0, **kwargs)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddlex\ppcls\arch\backbone\legendary_models\pp_lcnet.py", line 183, in init
    stride=2)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddlex\ppcls\arch\backbone\legendary_models\pp_lcnet.py", line 93, in init
    bias_attr=False)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\nn\layer\conv.py", line 656, in init
    data_format=data_format)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\nn\layer\conv.py", line 135, in init
    default_initializer=_get_default_param_initializer())
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\fluid\dygraph\layers.py", line 424, in create_parameter
    default_initializer)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\fluid\layer_helper_base.py", line 378, in create_parameter
    **attr._to_kwargs(with_initializer=True))
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\fluid\framework.py", line 3137, in create_parameter
    initializer(param, self)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\fluid\initializer.py", line 719, in call
    stop_gradient=True)
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\fluid\framework.py", line 3167, in append_op
    kwargs.get("stop_gradient", False))
    File "D:\files\chrome\PaddleX_GUI_2.1.0_win10\PaddleX_GUI_2.1.0_win10\paddle\fluid\dygraph\tracer.py", line 45, in trace_op
    not stop_gradient)
    OSError: (External) CUSOLVER error(7).
    [Hint: 'CUSOLVER_STATUS_INTERNAL_ERROR'. An internal cuSolver operation failed. This error is usually caused by a cudaMemcpyAsync() failure.To correct: check that the hardware, an appropriate version of the driver, and the cuSolver library are correctly installed. Also, check that the memory passed as a parameter to the routine is not being deallocated prior to the routine’s completion.] (at ..\paddle/fluid/platform/device_context.h:418)
    [operator < gaussian_random > error]

  2. 请提供您使用的GUI版本号 2.1.0

  3. 请提供您使用的操作系统信息，如Linux/Windows/MacOS windows 11

  4. 请问您使用的CUDA/cuDNN的版本号是？ cuda11.2 cudnn8.5.0

commented

欢迎尝试使用PaddleX新版本试试，看看问题是否可以解决，https://aistudio.baidu.com/intro/paddlex