安装报错。

[jiyuwangbupt]

bug描述 Describe the Bug

(new_paddle_env) jyw@jyw-Z790-GAMING-X-AX:~$ python
Python 3.8.20 (default, Oct 3 2024, 15:24:27)
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.

import paddle
paddle.utils.run_check()
Running verify PaddlePaddle program ...
I1209 16:01:34.574815 170444 program_interpreter.cc:212] New Executor is Running.
W1209 16:01:34.575874 170444 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.9, Driver API Version: 12.6, Runtime API Version: 11.7
W1209 16:01:34.575943 170444 dynamic_loader.cc:314] 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 "", line 1, in
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 273, in run_check
  _run_static_single(use_cuda, use_xpu, use_custom, custom_device_name)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 150, in _run_static_single
  exe.run(startup_prog)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/executor.py", line 1746, in run
  res = self._run_impl(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/executor.py", line 1952, in _run_impl
  ret = new_exe.run(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/executor.py", line 831, in run
  tensors = self._new_exe.run(
  RuntimeError: In user code:

  File "", line 1, in

  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 273, in run_check
  _run_static_single(use_cuda, use_xpu, use_custom, custom_device_name)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 135, in _run_static_single
  input, out, weight = _simple_network()
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 31, in _simple_network
  weight = paddle.create_parameter(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/tensor/creation.py", line 228, in create_parameter
  return helper.create_parameter(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/layer_helper_base.py", line 444, in create_parameter
  self.startup_program.global_block().create_parameter(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/framework.py", line 4381, in create_parameter
  initializer(param, self)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/nn/initializer/initializer.py", line 40, in call
  return self.forward(param, block)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/nn/initializer/constant.py", line 84, in forward
  op = block.append_op(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/framework.py", line 4467, in append_op
  op = Operator(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/framework.py", line 3016, 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/paddle/phi/backends/dynload/cudnn.cc:64)
  [operator < fill_constant > error]

exit()
(new_paddle_env) jyw@jyw-Z790-GAMING-X-AX:$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Tue_May__3_18:49:52_PDT_2022
Cuda compilation tools, release 11.7, V11.7.64
Build cuda_11.7.r11.7/compiler.31294372_0
(new_paddle_env) jyw@jyw-Z790-GAMING-X-AX:$ nvidia-smi
Mon Dec 9 16:02:21 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03 Driver Version: 560.35.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4090 Off | 00000000:01:00.0 Off | Off |
| 0% 48C P0 173W / 450W | 17180MiB / 24564MiB | 33% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1712 G /usr/lib/xorg/Xorg 18MiB |
| 0 N/A N/A 1861 G /usr/bin/gnome-shell 8MiB |
| 0 N/A N/A 2207 G /usr/libexec/gnome-initial-setup 6MiB |
| 0 N/A N/A 87495 C python 8612MiB |
| 0 N/A N/A 87754 C python 8500MiB |
+-----------------------------------------------------------------------------------------+

其他补充信息 Additional Supplementary Information

(new_paddle_env) jyw@jyw-Z790-GAMING-X-AX:~$ python
Python 3.8.20 (default, Oct 3 2024, 15:24:27)
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.

import paddle
paddle.utils.run_check()
Running verify PaddlePaddle program ...
I1209 16:01:34.574815 170444 program_interpreter.cc:212] New Executor is Running.
W1209 16:01:34.575874 170444 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.9, Driver API Version: 12.6, Runtime API Version: 11.7
W1209 16:01:34.575943 170444 dynamic_loader.cc:314] 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 "", line 1, in
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 273, in run_check
  _run_static_single(use_cuda, use_xpu, use_custom, custom_device_name)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 150, in _run_static_single
  exe.run(startup_prog)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/executor.py", line 1746, in run
  res = self._run_impl(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/executor.py", line 1952, in _run_impl
  ret = new_exe.run(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/executor.py", line 831, in run
  tensors = self._new_exe.run(
  RuntimeError: In user code:

  File "", line 1, in

  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 273, in run_check
  _run_static_single(use_cuda, use_xpu, use_custom, custom_device_name)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 135, in _run_static_single
  input, out, weight = _simple_network()
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/utils/install_check.py", line 31, in _simple_network
  weight = paddle.create_parameter(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/tensor/creation.py", line 228, in create_parameter
  return helper.create_parameter(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/layer_helper_base.py", line 444, in create_parameter
  self.startup_program.global_block().create_parameter(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/framework.py", line 4381, in create_parameter
  initializer(param, self)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/nn/initializer/initializer.py", line 40, in call
  return self.forward(param, block)
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/nn/initializer/constant.py", line 84, in forward
  op = block.append_op(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/framework.py", line 4467, in append_op
  op = Operator(
  File "/home/jyw/anaconda3/envs/new_paddle_env/lib/python3.8/site-packages/paddle/base/framework.py", line 3016, 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/paddle/phi/backends/dynload/cudnn.cc:64)
  [operator < fill_constant > error]

exit()
(new_paddle_env) jyw@jyw-Z790-GAMING-X-AX:$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Tue_May__3_18:49:52_PDT_2022
Cuda compilation tools, release 11.7, V11.7.64
Build cuda_11.7.r11.7/compiler.31294372_0
(new_paddle_env) jyw@jyw-Z790-GAMING-X-AX:$ nvidia-smi
Mon Dec 9 16:02:21 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03 Driver Version: 560.35.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4090 Off | 00000000:01:00.0 Off | Off |
| 0% 48C P0 173W / 450W | 17180MiB / 24564MiB | 33% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1712 G /usr/lib/xorg/Xorg 18MiB |
| 0 N/A N/A 1861 G /usr/bin/gnome-shell 8MiB |
| 0 N/A N/A 2207 G /usr/libexec/gnome-initial-setup 6MiB |
| 0 N/A N/A 87495 C python 8612MiB |
| 0 N/A N/A 87754 C python 8500MiB |
+-----------------------------------------------------------------------------------------+

[risemeup1]

find / -name "libcudnn.so"在哪儿，找到之后，export LD_LIBRARY_PATH=这个目录，然后试试可以解决吗

[jiyuwangbupt]

find / -name "libcudnn.so"在哪儿，找到之后，export LD_LIBRARY_PATH=这个目录，然后试试可以解决吗

不可以，我在很久之前镜像里面安装的版本是可以的。然后现在我想在conda虚拟环境下安装发现不行。

[jiyuwangbupt]

find / -name "libcudnn.so"在哪儿，找到之后，export LD_LIBRARY_PATH=这个目录，然后试试可以解决吗

https://github.com/PaddlePaddle/Paddle/issues/70393。我重新又开了个conda虚拟环境，现在变成这样了