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由于最近需要使用paddleocr#xff0c;因此需要安装依赖paddlepaddle-gpu#xff0c;不管怎么安装cuda11.6-11.8安装了一遍#xff0c;都无法正常安装成功。如下所示#xff1a;
环境#xff1a;wsl2linux18.04 import paddlepaddle.u…背景
由于最近需要使用paddleocr因此需要安装依赖paddlepaddle-gpu不管怎么安装cuda11.6-11.8安装了一遍都无法正常安装成功。如下所示
环境wsl2linux18.04 import paddlepaddle.utils.run_check()报错如下 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]尝试
https://blog.csdn.net/qq451882471/article/details/106967942 https://blog.csdn.net/weixin_44065323/article/details/110082334
根据上面两位大佬的做法无法解决怀疑是cuda和cudnn版本不一致各种版本都试了一轮也都无法解决
docker
对paddle也是无语了兼容性做的如此之差谁还想继续使用下去比torch、transformers库安装体验差多了最后使用docker进行安装 https://www.paddlepaddle.org.cn/install/quick?docurl/documentation/docs/zh/install/docker/linux-docker.html
docker pull
nvidia-docker pull registry.baidubce.com/paddlepaddle/paddle:2.5.2-gpu-cuda11.7-cudnn8.4-trt8.4docker run docker rundocker run --gpusall --name docker_paddle -it -v /mnt:/mnt registry.baidub
ce.com/paddlepaddle/paddle:2.5.2-gpu-cuda11.7-cudnn8.4-trt8.4 /bin/bash --name paddle_docker -it -v /mnt:/mnt registry.baidubce.com/paddlepaddle/paddle:2.5.2-gpu-cuda11.7-cudnn8.4-trt8.4 /bin/bash测试成功
λ 9d35c036063b /home python
Python 3.7.14 (default, Sep 8 2022, 00:06:44)
[GCC 7.5.0] on linux
Type help, copyright, credits or license for more information.import paddle
grep: warning: GREP_OPTIONS is deprecated; please use an alias or scriptpaddle.utils.run_check()
Running verify PaddlePaddle program ...
I1104 10:41:01.608309 12 interpretercore.cc:237] New Executor is Running.
W1104 10:41:01.608773 12 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.9, Driver API Version: 12.3, Runtime API Version: 11.7
W1104 10:41:02.405509 12 gpu_resources.cc:149] device: 0, cuDNN Version: 8.4.
I1104 10:41:12.111374 12 interpreter_util.cc:518] Standalone Executor is Used.
PaddlePaddle works well on 1 GPU.
PaddlePaddle is installed successfully! Lets start deep learning with PaddlePaddle now.
