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问题

PaddlePaddle GPU安装后,检查出错

在研究PaddlePaddle GPU版本安装的过程中,在解释器中运行

>>> import paddle
>>> paddle.utils.run_check()

出现了错误,表明CUDA、CUDNN未安装成功,下面则是介绍如何安装CUDA、CUDNN

Running verify PaddlePaddle program ...

W1126 15:44:35.675730   540 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 11.0, Runtime API Version: 10.2
W1126 15:44:35.676738   540 dynamic_loader.cc:258] 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.

Traceback (most recent call last):
  File "", line 1, in <module>
  File "C:\ProgramData\Miniconda3\lib\site-packages\paddle\utils\install_check.py", line 196, in run_check
    _run_static_single(use_cuda)
  File "C:\ProgramData\Miniconda3\lib\site-packages\paddle\utils\install_check.py", line 124, in _run_static_single
    exe.run(startup_prog)
  File "C:\ProgramData\Miniconda3\lib\site-packages\paddle\fluid\executor.py", line 1246, in run
    six.reraise(*sys.exc_info())
  File "C:\ProgramData\Miniconda3\lib\site-packages\six.py", line 703, in reraise
    raise value
  File "C:\ProgramData\Miniconda3\lib\site-packages\paddle\fluid\executor.py", line 1234, in run
    return self._run_impl(
  File "C:\ProgramData\Miniconda3\lib\site-packages\paddle\fluid\executor.py", line 1366, in _run_impl
    return self._run_program(
  File "C:\ProgramData\Miniconda3\lib\site-packages\paddle\fluid\executor.py", line 1463, 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 ..\paddle\fluid\platform\dynload\dynamic_loader.cc:285)

安装CUDA

下载CUDA

连接 https://developer.nvidia.com/cuda-downloads

下载历史版本

链接 https://developer.nvidia.com/cuda-toolkit-archive

下载

我的电脑安装的是10.2版本的,

CUDA安装
具体安装哪个版本要看你的显卡型号,可在设备管理器中查看
CUDA安装
可以在NVIDIA的控制面板中查看CUDA最大安装版本
CUDA安装
下载截图如下:
CUDA安装
下载后一路安装即可。

; 检查CUDA是否安装成功

在终端中输入 nvcc --version查看CUDA版本,如下,则证明安装成功

CUDA安装

安装CUDNN

cudnn安装需要会员,会员比较好注册,需要一个邮箱,其他自行填写就可。

登陆后,进入下载页 https://developer.nvidia.com/rdp/cudnn-download

CUDA安装

; 安装哪个版本

这个需要看PaddlePaddle 的官网,需要你安装哪个版本,如果版本错了,那么后面会报错,我就是在这个地方卡住,而且不知道为什么会出错,原来是没有按照文档安装相应的版本。
PaddlePaddle 的官网版本的链接:https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/install/pip/windows-pip.html
此处标记了安装哪个版本的要求

CUDA安装
我的CUDA是10.2的,那么需要安装cuDNN7。那么找到cuDNN7
CUDA安装

CUDA安装
CUDA安装
下载cuDNN这是个压缩包,解压后,复制所有文件,到CUDA的安装目录下,bin目录下的文件复制到CUDA的bin,lib到lib,include到include
CUDA安装
我的CUDA的安装目录是CUDA的默认目录:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2

CUDA安装

; 检查是否成功

在您的Python解释器中,输入

>>> import paddle
>>> paddle.utils.run_check()

如果结果如下,那么则安装成功了:

Running verify PaddlePaddle program ...

W1126 16:33:38.690778  3240 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 11.0, Runtime API Version: 10.2
W1126 16:33:38.747905  3240 device_context.cc:465] 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.

Original: https://blog.csdn.net/u014196765/article/details/121561917
Author: baiqingchun
Title: CUDA安装

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