【无标题】
解决tf不能使用GPU加速的问题Could not load dynamic library ‘libcudart.so.10.1’; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory Could not load dynamic library ‘libcudnn.so.7’; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory
跑强化学习代码时，想使用GPU加速，但是报了如下错误：
RuntimeError: GPUs were assigned to this worker by Ray, but your DL framework (tf) reports GPU acceleration is disabled. This could be due to a bad CUDA- or tf installation.
百度后，发现是可能cuda安装时出了问题．
首先查看tensorflow是否能使用GPU
import tensorflow as tf
tf.test.is_gpu_available()
再输入上述第一条指令时，报错
Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
第二条指令报错
Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory
解决方法
echo $LD_LIBRARY_PATH
我的是/usr/local/cuda/lib64
cd /usr/local/cuda/lib64
使用ll指令查看，发现只有libcuda.so.10.2和libcudnn.so.8，
故建立相关软连接
sudo ln -s /usr/local/cuda/lib64/libcudart.so.10.2 /usr/local/cuda/lib64/libcudart.so.10.1
sudo ln -s /usr/local/cuda/lib64/libcudnn.so.8 /usr/local/cuda/lib64/libcudnn.so.7
最终问题解决！