本文介绍了解决PyCharm中使用TensorFlow GPU版本时出现的‘Could not dlopen library ‘libcublas.so.10.0’’错误的方法。首先确保CUDA和cuDNN已正确安装并验证配置，接着通过设置PyCharm的解释器环境变量LD_LIBRARY_PATH指向CUDA的lib路径来解决问题。
pycharm运行tensorflow报错：Could not dlopen library ‘libcublas.so.10.0’; dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory。
解决方案：
First Make sure CUDA and CuDNN has been installed successfully and Configuration should be verified.
CUDA driver version should be sufficient for CUDA runtime version.
Once done, Open PyCharm
Goto File->Settings-> Project Interpreter
Select the appropriate Environment which has tensorflow-gpu installed
Select Run->Edit Configuration->Environment Variables
Add the lib path as LD_LIBRARY_PATH in environment variables as
Name : LD_LIBRARY_PATH
Value : /usr/local/cuda/lib64
即在PYTHONUNBUFFERED=1后加上;LD_LIBRARY_PATH=/usr/local/cuda/lib64
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