window10 paddle-gpu环境安装错误
最烦的就是开发环境的配置，经常掉进坑里弄个一两天时间。
W0922 10:00:26.824364 14340 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.4, Runtime API Version: 10.2
W0922 10:00:26.830348 14340 dynamic_loader.cc:238] Note: [Recommend] copy cudnn into CUDA installation directory.
For instance, download cudnn-10.0-windows10-x64-v7.6.5.32.zip from NVIDIA's official website,
then, unzip it and copy it into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0
You should do this according to your CUDA installation directory and CUDNN version.
一、晒一下nvidia-smi
>nvidia-smi
Wed Sep 22 10:03:47 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 471.68 Driver Version: 471.68 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... WDDM | 00000000:65:00.0 On | N/A |
| 0% 44C P8 13W / 240W | 425MiB / 8192MiB | 3% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1184 C+G Insufficient Permissions N/A |
| 0 N/A N/A 7884 C+G ...y\ShellExperienceHost.exe N/A |
| 0 N/A N/A 8860 C+G ...es.TextInput.InputApp.exe N/A |
| 0 N/A N/A 10204 C+G ...018.2.4\bin\pycharm64.exe N/A |
| 0 N/A N/A 15916 C+G ...lPanel\SystemSettings.exe N/A |
+-----------------------------------------------------------------------------+
二、运行paddlepaddle 验证程序
D:\work\2021\>python
Python 3.8.8 (tags/v3.8.8:024d805, Feb 19 2021, 13:18:16) [MSC v.1928 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
Traceback (most recent call last):
File "
File "D:\programData\python38\lib\site-packages\paddle\utils\install_check.py", line 196, in run_check
_run_static_single(use_cuda)
File "D:\programData\python38\lib\site-packages\paddle\utils\install_check.py", line 124, in _run_static_single
exe.run(startup_prog)
File "D:\programData\python38\lib\site-packages\paddle\fluid\executor.py", line 1110, in run
six.reraise(*sys.exc_info())
File "D:\programData\python38\lib\site-packages\six.py", line 703, in reraise
raise value
File "D:\programData\python38\lib\site-packages\paddle\fluid\executor.py", line 1098, in run
return self._run_impl(
File "D:\programData\python38\lib\site-packages\paddle\fluid\executor.py", line 1231, in _run_impl
return self._run_program(
File "D:\programData\python38\lib\site-packages\paddle\fluid\executor.py", line 1328, in _run_program
self._default_executor.run(program.desc, scope, 0, True, True,
RuntimeError: (PreconditionNotMet) The third-party dynamic library (cudnn64_7.dll) that Paddle depends on is not configured correctly. (error code is 126)
Suggestions:
1. Check if the third-party dynamic library (e.g. CUDA, CUDNN) is installed correctly and its version is matched with paddlepaddle you installed.
2. 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; (at C:\home\workspace\Paddle_release\paddle\fluid\platform\dynload\dynamic_loader.cc:265)
三、从上面的日志可以看出，加载cudnn64_7.dll失败
打开目录 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin
发现确实没有cudnn64_7.dll,只有cudnn64_8.dll
看来是版本装的太高了，之前下载的是cudnn-10.1-windows10-x64-v8.0.5.39.zip，只好重新下载
cudnn-10.1-windows10-x64-v7.6.5.32.zip
四、重新验证
D:\work\2021\>python
Python 3.8.8 (tags/v3.8.8:024d805, Feb 19 2021, 13:18:16) [MSC v.1928 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ...
W0922 10:34:10.044379 6852 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.4, Runtime API Version: 10.2
W0922 10:34:10.108378 6852 device_context.cc:422] device: 0, cuDNN Version: 7.6.
PaddlePaddle works well on 1 GPU.
PaddlePaddle works well on 1 GPUs.
PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.