paddlex无法使用gpu训练，4060的显卡

[Sunny2884]

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

[dyning]

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