环境是wsl的conda环境。
使用conda安装paddlepaddle-gpu:
conda install paddlepaddle-gpu==2.5.1 cudatoolkit=11.7 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge
等待安装...
报错处理：
(1)PreconditionNotMetError: Cannot load cudnn shared library. Cannot invoke method cudnnGetVersion.
>>> paddle.utils.run_check() Running verify PaddlePaddle program ... Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/utils/install_check.py", line 269, in run_check _run_static_single(use_cuda, use_xpu, use_npu) File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/utils/install_check.py", line 173, in _run_static_single exe.run(startup_prog) File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/executor.py", line 1463, in run six.reraise(*sys.exc_info()) File "/home/livingbody/miniconda3/lib/python3.9/site-packages/six.py", line 703, in reraise raise value File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/executor.py", line 1450, in run res = self._run_impl(program=program, File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/executor.py", line 1661, in _run_impl return new_exe.run(scope, list(feed.keys()), fetch_list, File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/executor.py", line 631, in run tensors = self._new_exe.run(scope, feed_names, RuntimeError: In user code: File "<stdin>", line 1, in <module> File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/utils/install_check.py", line 269, in run_check _run_static_single(use_cuda, use_xpu, use_npu) File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/utils/install_check.py", line 159, in _run_static_single input, out, weight = _simple_network() File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/utils/install_check.py", line 33, in _simple_network weight = paddle.create_parameter( File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/layers/tensor.py", line 152, in create_parameter return helper.create_parameter(attr, shape, convert_dtype(dtype), is_bias, File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/layer_helper_base.py", line 381, in create_parameter self.startup_program.global_block().create_parameter( File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/framework.py", line 3965, in create_parameter initializer(param, self) File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/initializer.py", line 56, in call return self.forward(param, block) File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/initializer.py", line 184, in forward op = block.append_op(type="fill_constant", File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/framework.py", line 4017, in append_op op = Operator( File "/home/livingbody/miniconda3/lib/python3.9/site-packages/paddle/fluid/framework.py", line 2858, in init for frame in traceback.extract_stack(): PreconditionNotMetError: Cannot load cudnn shared library. Cannot invoke method cudnnGetVersion. Hint: cudnn_d_handle should not be null. (at /paddle/paddle/phi/backends/dynload/cudnn.cc:60) operator \< fill_constant \> error
解决办法： 根据命令所知，需要的cuda、cudnn都已经安装，出现这个问题是找不到对应的动态库，所以要针对性处理。
创建存放动态库的文件夹
mkdir /usr/local/cuda/lib64 -rf拷贝动态库到lib
~/miniconda3/pkgs/cudatoolkit-11.7.0-hd8887f6_10/lib$ sudo cp * /usr/local/cuda/lib64 -rf覆盖性拷贝，同手动安装cudnn操作
~/miniconda3/pkgs/cudnn-8.4.1.50-hed8a83a_0/lib$ sudo cp * /usr/local/cuda/lib64/ -rf编辑 .bahsrc
vim ~/.bashrc末尾添加
export LD_LIBRARY_PATH="/usr/local/cuda/lib64"
（2）The third-party dynamic library (libcuda.so) that Paddle depends on is not configured correctly.
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
I1016 00:37:29.397162 5746 interpretercore.cc:237] New Executor is Running.
W1016 00:37:29.397517 5746 gpu_resources.cc:96] The GPU architecture in your current machine is Pascal, which is not compatible with Paddle installation with arch: 70 75 80 86 , it is recommended to install the corresponding wheel package according to the installation information on the official Paddle website.
W1016 00:37:29.397544 5746 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 12.2, Runtime API Version: 11.7
W1016 00:37:29.402364 5746 gpu_resources.cc:149] device: 0, cuDNN Version: 8.4.
W1016 00:37:30.560958 5746 dynamic_loader.cc:303] The third-party dynamic library (libcuda.so) that Paddle depends on is not configured correctly. (error code is libcuda.so: cannot open shared object file: No such file or directory)
Suggestions:
Check if the third-party dynamic library (e.g. CUDA, CUDNN) is installed correctly and its version is matched with paddlepaddle you installed.
Configure third-party dynamic library environment variables as follows:
Linux: set LD_LIBRARY_PATH by `export LD_LIBRARY_PATH=...`
Windows: set PATH by `set PATH=XXX;
C++ Traceback (most recent call last):
No stack trace in paddle, may be caused by external reasons.
Error Message Summary:
FatalError: `Segmentation fault` is detected by the operating system.
TimeInfo: \*\*\* Aborted at 1697387850 (unix time) try "date -d @1697387850" if you are using GNU date \*\*\*
SignalInfo: \*\*\* SIGSEGV (@0x0) received by PID 5746 (TID 0x7f5359183440) from PID 0 \*\*\*
Segmentation fault
原因：paddel没有找到libcuda.so（标红）
解决：在~/.bashrc中加入环境变量
export LD_LIBRARY_PATH="/usr/lib/wsl/lib:$LD_LIBRARY_PATH"
vim ~/.bashrc
测试安装成功：
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
I1016 00:52:10.319463 5810 interpretercore.cc:237] New Executor is Running.
W1016 00:52:10.319797 5810 gpu_resources.cc:96] The GPU architecture in your current machine is Pascal, which is not compatible with Paddle installation with arch: 70 75 80 86 , it is recommended to install the corresponding wheel package according to the installation information on the official Paddle website.
W1016 00:52:10.319828 5810 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 12.2, Runtime API Version: 11.7
W1016 00:52:10.326299 5810 gpu_resources.cc:149] device: 0, cuDNN Version: 8.4.
I1016 00:52:12.458793 5810 interpreter_util.cc:518] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
主要参考：
尝鲜Ubuntu22.04 下 PaddlePaddle-GPU 安装踩坑记 - 飞桨AI Studio星河社区 (baidu.com)