【已解决】UserWarning: You are using GPU version Paddle, but your CUDA device is not set properly.

软件环境
操作系统Ubuntu22.04.1LTS
显卡Geforce MX150
驱动525.60.11
CUDA版本11.7
CUDNN版本8.7
Anaconda3版本4.5.11
paddlepaddle版本2.4.1

问题如下

>>> import paddle
W0117 20:25:17.101466 288816 init.cc:185] Compiled with WITH_GPU, but no GPU found in runtime.
/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py:622: **UserWarning: You are using GPU version Paddle, but your CUDA device is not set properly. CPU device will be used by default.**"You are using GPU version Paddle, but your CUDA device is not set properly. CPU device will be used by default."
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
WARNING:root:You are using GPU version PaddlePaddle, but there is no GPU detected on your machine. Maybe CUDA devices is not set properly.Original Error is (External) CUDA error(999), unknown error. [Hint: Please search for the error code(999) on website (https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038) to get Nvidia's official solution and advice about CUDA Error.] (at /paddle/paddle/phi/backends/gpu/cuda/cuda_info.cc:65)I0117 20:25:43.814098 288816 interpretercore.cc:258] New Executor is Running.
Traceback (most recent call last):File "<stdin>", line 1, in <module>File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 278, in run_check_run_static_single(use_cuda, use_xpu, use_npu)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 178, in _run_static_singleexe.run(startup_prog)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1573, in runreturn_merged=return_merged,File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1821, in _run_implscope, list(feed.keys()), fetch_list, return_numpyFile "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/executor.py", line 672, in runscope, feed_names, fetch_list
OSError: In user code:File "<stdin>", line 1, in <module>File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 278, in run_check_run_static_single(use_cuda, use_xpu, use_npu)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 163, in _run_static_singleinput, out, weight = _simple_network()File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 34, in _simple_networkattr=paddle.ParamAttr(initializer=paddle.nn.initializer.Constant(0.1)),File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/tensor/creation.py", line 225, in create_parameterattr, shape, convert_dtype(dtype), is_bias, default_initializerFile "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/layer_helper_base.py", line 443, in create_parameter**attr._to_kwargs(with_initializer=True)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py", line 3984, in create_parameterinitializer(param, self)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/initializer.py", line 70, in __call__return self.forward(param, block)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/initializer.py", line 203, in forwardstop_gradient=True,File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py", line 4042, in append_opattrs=kwargs.get("attrs", None),File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2892, in __init__for frame in traceback.extract_stack():ExternalError: CUDA error(999), unknown error. [Hint: Please search for the error code(999) on website (https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038) to get Nvidia's official solution and advice about CUDA Error.] (at /paddle/paddle/phi/backends/gpu/cuda/cuda_info.cc:65)[operator < fill_constant > error]
>>> quit()
terminate called after throwing an instance of 'phi::enforce::EnforceNotMet'what():  In user code:File "<stdin>", line 1, in <module>File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 278, in run_check_run_static_single(use_cuda, use_xpu, use_npu)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 163, in _run_static_singleinput, out, weight = _simple_network()File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/utils/install_check.py", line 34, in _simple_networkattr=paddle.ParamAttr(initializer=paddle.nn.initializer.Constant(0.1)),File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/tensor/creation.py", line 225, in create_parameterattr, shape, convert_dtype(dtype), is_bias, default_initializerFile "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/layer_helper_base.py", line 443, in create_parameter**attr._to_kwargs(with_initializer=True)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py", line 3984, in create_parameterinitializer(param, self)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/initializer.py", line 70, in __call__return self.forward(param, block)File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/initializer.py", line 203, in forwardstop_gradient=True,File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py", line 4042, in append_opattrs=kwargs.get("attrs", None),File "/home/zhangzrjerry/anaconda3/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2892, in __init__for frame in traceback.extract_stack():ExternalError: CUDA error(999), unknown error. [Hint: Please search for the error code(999) on website (https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038) to get Nvidia's official solution and advice about CUDA Error.] (at /paddle/paddle/phi/backends/gpu/cuda/cuda_info.cc:65)[operator < fill_constant > error]--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
0   std::_Sp_counted_base<(__gnu_cxx::_Lock_policy)2>::_M_release()
1   paddle::framework::InterpreterCore::~InterpreterCore()----------------------
Error Message Summary:
----------------------
FatalError: `Process abort signal` is detected by the operating system.[TimeInfo: *** Aborted at 1673958447 (unix time) try "date -d @1673958447" if you are using GNU date ***][SignalInfo: *** SIGABRT (@0x3e800046830) received by PID 288816 (TID 0x7f5bc1057740) from PID 288816 ***]已放弃 (核心已转储)

发现nvidia内核模块未启动

sudo rmmod nvidia_uvm
rmmod: ERROR: Module nvidia_uvm is not currently loaded

启动nvidia内核模块

sudo modprobe nvidia_uvm

问题解决

>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
I0117 20:27:46.728152 290129 interpretercore.cc:258] New Executor is Running.
W0117 20:27:46.728384 290129 gpu_resources.cc:85] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 12.0, Runtime API Version: 11.7
W0117 20:27:46.745337 290129 gpu_resources.cc:115] device: 0, cuDNN Version: 8.7.
I0117 20:27:49.270186 290129 interpreter_util.cc:619] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
PaddlePaddle works well on 1 GPUs.
PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.

【已解决】UserWarning: You are using GPU version Paddle, but your CUDA device is not set properly.相关推荐

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【已解决】UserWarning: You are using GPU version Paddle, but your CUDA device is not set properly.

【已解决】UserWarning: You are using GPU version Paddle, but your CUDA device is not set properly.相关推荐

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