【paddle本地环境安装踩坑记录】libssl.so.1.1...PreconditionNotMetError...-Toy模板网

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此次报错出在paddlepaddle-gpu环境出错上

本机环境为ubuntu16.04，虽然版本较低，但所遇到的问题几乎适用于所有版本（如有错误请纠正）

一、libssl.so.1.1: cannot open shared object file: No such file or directory

首先确保自己通过paddlepaddle官网安装步骤是正确，CUDA版本也确认过对应无误！！

然后就在通过以下语句：
python
import paddle
paddle.utils.run_check()

验证是否安装成功时产生了报错：

python
Python 3.8.0 | packaged by conda-forge | (default, Nov 22 2019, 19:11:38) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
Error: Can not import paddle core while this file exists: /home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/libpaddle.so
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/__init__.py", line 31, in <module>
    from .framework import monkey_patch_variable
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/framework/__init__.py", line 17, in <module>
    from . import random  # noqa: F401
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/framework/random.py", line 17, in <module>
    from paddle import fluid
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/__init__.py", line 36, in <module>
    from . import framework
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/framework.py", line 35, in <module>
    from . import core
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/core.py", line 356, in <module>
    raise e
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/core.py", line 269, in <module>
    from . import libpaddle
ImportError: /usr/lib/libssl.so.1.1: symbol ENGINE_set_tass_flags, version OPENSSL_1_1_1b not defined in file libcrypto.so.1.1 with link time reference
>>> exit()

经查询发现，这些.so文件并非是我们系统中没有，只是没有在指定的位置，所以找不到。
于是我们将找到的文件放到正确的地方即可：

1.先找到系统中这些文件所在的位置

sudo find / -name libssl.so.1.1/usr/lib/libssl.so.1.1

2.查询结果如下

find: `/run/user/1000/gvfs': 权限不够
/opt/kingsoft/wps-office/office6/libssl.so.1.1
/var/lib/docker/aufs/diff/a1553a2332d791f53183476f9942848ce98a9f27302ce125e16e430efb994c0a/usr/lib/x86_64-linux-gnu/libssl.so.1.1
/home/zero/anaconda3/lib/libssl.so.1.1
/home/zero/anaconda3/pkgs/openssl-1.1.1u-hd590300_0/lib/libssl.so.1.1
/home/zero/anaconda3/pkgs/openssl-1.1.1k-h27cfd23_0/lib/libssl.so.1.1
/home/zero/anaconda3/pkgs/openssl-1.1.1h-h7b6447c_0/lib/libssl.so.1.1
/home/zero/anaconda3/pkgs/openssl-1.1.1w-hd590300_0/lib/libssl.so.1.1
/home/zero/anaconda3/pkgs/openssl-1.1.1k-h7f98852_0/lib/libssl.so.1.1
/home/zero/anaconda3/envs/yolov7/lib/libssl.so.1.1
/home/zero/anaconda3/envs/pytorch/lib/libssl.so.1.1
/home/zero/anaconda3/envs/alphapose/lib/libssl.so.1.1
/home/zero/anaconda3/envs/FaceRecognition/lib/libssl.so.1.1
/home/zero/anaconda3/envs/paddleEnv/lib/libssl.so.1.1

3.找到随便一个作出如下更改：

sudo cp /home/zero/anaconda3/envs/pytorch/lib/libssl.so.1.1 /usr/lib

4.此时会发现该报错已经消失，但是有可能出现新的相似报错，用该方法同样可以解决

二、PreconditionNotMetError: Cannot load cudnn shared library. Cannot invoke method cudnnGetVersion.

具体是在这里触发的：

python
Python 3.8.0 | packaged by conda-forge | (default, Nov 22 2019, 19:11:38) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ... 
I1023 21:03:54.605382 30889 interpretercore.cc:237] New Executor is Running.
W1023 21:03:54.605722 30889 gpu_resources.cc:96] The GPU architecture in your current machine is Maxwell, 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.
W1023 21:03:54.605732 30889 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 5.2, Driver API Version: 11.3, Runtime API Version: 11.7
W1023 21:03:54.605855 30889 dynamic_loader.cc:303] The third-party dynamic library (libcudnn.so) that Paddle depends on is not configured correctly. (error code is /usr/local/cuda/lib64/libcudnn.so: cannot open shared object file: No such file or directory)
  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;
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/utils/install_check.py", line 249, in run_check
    _run_static_single(use_cuda, use_xpu)
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/utils/install_check.py", line 146, in _run_static_single
    exe.run(startup_prog)
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1392, in run
    res = self._run_impl(
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1618, in _run_impl
    ret = new_exe.run(
  File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/executor.py", line 654, in run
    tensors = self._new_exe.run(
RuntimeError: In user code:

    File "<stdin>", line 1, in <module>
      
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/utils/install_check.py", line 249, in run_check
      _run_static_single(use_cuda, use_xpu)
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/utils/install_check.py", line 133, in _run_static_single
      input, out, weight = _simple_network()
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/utils/install_check.py", line 31, in _simple_network
      weight = paddle.create_parameter(
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/tensor/creation.py", line 222, in create_parameter
      return helper.create_parameter(
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/layer_helper_base.py", line 432, in create_parameter
      self.startup_program.global_block().create_parameter(
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/framework.py", line 3935, in create_parameter
      initializer(param, self)
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/nn/initializer/initializer.py", line 40, in __call__
      return self.forward(param, block)
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/nn/initializer/constant.py", line 65, in forward
      op = block.append_op(
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/framework.py", line 4013, in append_op
      op = Operator(
    File "/home/zero/anaconda3/envs/paddleEnv/lib/python3.8/site-packages/paddle/fluid/framework.py", line 2781, in __init__
      for frame in traceback.extract_stack():

    PreconditionNotMetError: Cannot load cudnn shared library. Cannot invoke method cudnnGetVersion.
      [Hint: cudnn_dso_handle should not be null.] (at ../paddle/phi/backends/dynload/cudnn.cc:64)
      [operator < fill_constant > error]
>>> exit()

该问题同样也是，cudnn我们可以查询到在相应anaconda环境下的envs的lib中是存在的：

(paddleEnv) zero@zero:~$ which python
/home/zero/anaconda3/envs/paddleEnv/bin/python
(paddleEnv) zero@zero:~$ ls /home/zero/anaconda3/envs/paddleEnv/lib/
libcudart.so                 libnvblas.so.11.4.1.1043
libcudart.so.11.0            libnvjpeg.so
libcudart.so.11.2.152        libnvjpeg.so.11
libcudnn_adv_infer.so        libnvjpeg.so.11.4.0.152
libcudnn_adv_infer.so.8      libnvrtc-builtins.so
libcudnn_adv_infer.so.8.2.1  libnvrtc-builtins.so.11.2
libcudnn_adv_train.so        libnvrtc-builtins.so.11.2.152
libcudnn_adv_train.so.8      libnvrtc.so
libcudnn_adv_train.so.8.2.1  libnvrtc.so.11.2
libcudnn_cnn_infer.so        libnvrtc.so.11.2.152
libcudnn_cnn_infer.so.8      libnvToolsExt.so
libcudnn_cnn_infer.so.8.2.1  libnvToolsExt.so.1
libcudnn_cnn_train.so        libnvToolsExt.so.1.0.0
libcudnn_cnn_train.so.8      libnvvm.so
libcudnn_cnn_train.so.8.2.1  libnvvm.so.4
libcudnn_ops_infer.so        libnvvm.so.4.0.0
libcudnn_ops_infer.so.8      libopenblasp-r0.3.24.so
libcudnn_ops_infer.so.8.2.1  libopenblas.so.0
libcudnn_ops_train.so        libopenjp2.a
libcudnn_ops_train.so.8      libopenjp2.so
libcudnn_ops_train.so.8.2.1  libopenjp2.so.2.4.0
libcudnn.so                  libopenjp2.so.7
libcudnn.so.8                libpanel.so
libcudnn.so.8.2.1            libpanel.so.6
...

可以看到，该有的包我们都有，但还是有报错，这是因为需要的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。

1.首先，我们先打开系统配置文件

gedit ~/.bashrc

2.使用以下语句将刚才找到这些动态库的目录配置到文件末尾，切记是末尾，如果有别的LD_LIBRARY_PATH，切记要注释掉：

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/zero/anaconda3/envs/paddleEnv/lib/

3.别忘了保存完该文件需要激活一下：

 source ~/.bashrc

4.然后继续测试paddle环境是否安装好

import paddle
paddle.utils.run_check()

5.显示下面的就安装成功了文章来源地址https://www.toymoban.com/news/detail-754293.html

(paddleEnv) zero@zero-Z97-HD3:~$ python
Python 3.8.0 | packaged by conda-forge | (default, Nov 22 2019, 19:11:38) 
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
>>> paddle.utils.run_check()
Running verify PaddlePaddle program ... 
I1023 21:39:20.841471  4339 interpretercore.cc:237] New Executor is Running.
W1023 21:39:20.841838  4339 gpu_resources.cc:96] The GPU architecture in your current machine is Maxwell, 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.
W1023 21:39:20.841848  4339 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 5.2, Driver API Version: 11.3, Runtime API Version: 11.2
W1023 21:39:20.843921  4339 gpu_resources.cc:149] device: 0, cuDNN Version: 8.2.
I1023 21:39:38.545578  4339 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.
>>> exit()