在尝试训练StyleGAN2的时候报错:

nvcc "D:\Anaconda3\lib\site-packages\tensorflow\python\_pywrap_tensorflow_internal.lib" --gpu-architecture=sm_75 --use_fast_math --disable-warnings --include-path "D:\Anaconda3\lib\site-packages\tensorflow\include" --include-path "D:\Anaconda3\lib\site-packages\tensorflow\include\external\protobuf_archive\src" --include-path "D:\Anaconda3\lib\site-packages\tensorflow\include\external\com_google_absl" --include-path "D:\Anaconda3\lib\site-packages\tensorflow\include\external\eigen_archive" --compiler-bindir "D:/vs2017/VC/Tools/MSVC/14.16.27023/bin/Hostx64/x64" 2>&1 "D:\tencent\date\823239962\FileRecv\stylegan2encoder\stylegan2encoder\dnnlib\tflib\ops\fused_bias_act.cu" --shared -o "C:\Users\18929\AppData\Local\Temp\tmp_cbjdgdx\fused_bias_act_tmp.dll" --keep --keep-dir "C:\Users\18929\AppData\Local\Temp\tmp_cbjdgdx"

_pywrap_tensorflow_internal.lib
fused_bias_act.cu
nvcc error   : 'cudafe++' died with status 0xC0000005 (ACCESS_VIOLATION)

三种解决方法

参考: https://github.com/tensorflow/tensorflow/issues/27576

1. 将CUDA升级为10.1
   ✖ StyleGAN要依赖CUDA10.0
2. 手动修补CUDA10.0
   下载并安装CUDA 10.1 update 1，但只安装NVCC。
   将C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\cudafe++.exe
   替换到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\bin\cudafe++.exe
   …
3. 在尝试进行2的时候,我发现C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA文件夹下同时有v10.0和v10.1文件夹,应该是之前安装错了没清理掉.删除v10.1文件夹即可.