2回答

慕慕8288485

2020-10-12

我也遇到这个问题，自己想办法解决了。

首先是install.sh中修改cuda10.1为10.0（deb包名也要改），然后tensorflow安装2.0.0即可（不要2.1.0以上）

# Add NVIDIA package repositories

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub

sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

sudo apt-get update

wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb

sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb

sudo apt-get update

# Install NVIDIA driver

sudo apt-get install --no-install-recommends nvidia-driver-450

# Reboot. Check that GPUs are visible using the command: nvidia-smi

# Install development and runtime libraries (~4GB)

sudo apt-get install --no-install-recommends \

    cuda-10-0 \

    libcudnn7=7.6.5.32-1+cuda10.0  \

    libcudnn7-dev=7.6.5.32-1+cuda10.0

# Install TensorRT. Requires that libcudnn7 is installed above.

sudo apt-get install -y --no-install-recommends libnvinfer6=6.0.1-1+cuda10.0 \

    libnvinfer-dev=6.0.1-1+cuda10.0 \

    libnvinfer-plugin6=6.0.1-1+cuda10.0

0

0

正十七

2019-12-15

版本对应大问题，一遇环境误一天哇。

我配置tensorflow2.0正式版的时候也遇到了这个问题，你可以去看我git的readme文件中的描述。

至于环境变量，在那个描述中引用了一个csdn的blog里有，可以参考：https://blog.csdn.net/u012388993/article/details/102573117

0

0