我的原文:https://www.hijerry.cn/p/49582.html
本次主要記錄一些自己遇到的問題的解決方案
CUDA、cuDNN
大致流程參照 2018 MAC安裝CUDA、cuDNN(Gaming Box1070)
順序是:GPU Driver、CUDA Driver、CUDA Toolkit、cuDNN
安裝驅動時要注意:
MacOS與NVIDIA GPU Driver的版本要匹配,才能驅動顯卡
CUDA Driver與NVIDIA GPU Driver的版本要一致,CUDA才能找到顯卡
關鍵地址:
- MAC - NVIDIA GPU Driver對照表:http://www.macvidcards.com/drivers.html
- CUDA Driver:http://www.nvidia.com/object/mac-driver-archive.html
- CUDA Toolkit:https://developer.nvidia.com/cuda-toolkit-archive
- cuDNN:https://developer.nvidia.com/rdp/cudnn-archive
我自己安裝好後的配置是:
- GPU Driver Version: 387.10.10.10.40.105
- CUDA Driver Version: 418.105
- CUDA:10.1.105
- cuDNN:7.4.2
版本查看方式:
cat $CUDA_HOME/version.txt # CUDA
cat $CUDA_HOME/include/cudnn.h | grep CUDNN_MAJOR -A 2 #cuDNN
Pytorch with CUDA
Pytorch官方 說的很清楚:
MacOS Binaries dont support CUDA, install from source if CUDA is needed
目前要with CUDA
有兩個方式:從源碼安裝、安裝第三方pip包
從源碼安裝
參照:https://github.com/pytorch/pytorch#from-source
這條路我沒走通。雖然成功編譯了pytorch,但執行import torch
時遇到了錯誤:
ModuleNotFoundError: No module named 'torch._C'
按照google結果,我應該在 torch
目錄的以下兩個文件複製:
cp _C.cpython-37m-darwin.so _C.so
cp _dl.cpython-37m-darwin.so _dl.so
但我的 torch
目錄下沒有這兩個文件
第三方pip包
參照:https://github.com/TomHeaven/pytorch-osx-build
我下載的是:pytorch-1.0-py27-py37-cuda10-cudnn74
這是別人編譯好的pip包,下載後用pip安裝即可:
pip install torch-1.0-cp37-cp37m-macosx_10_13_x86_64.whl
No module named ‘torch._C’
Library not loaded: @rpath/xxxx.10.0.dylib
在運行 import torch
時報的錯,比如:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/jerry/anaconda3/lib/python3.7/site-packages/torch/__init__.py", line 84, in <module>
from torch._C import *
ImportError: dlopen(/Users/jerry/anaconda3/lib/python3.7/site-packages/torch/_C.cpython-37m-darwin.so, 9): Library not loaded: @rpath/libcufft.10.0.dylib
Referenced from: /Users/jerry/anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_python.dylib
Reason: image not found
libcufft
是cuda的庫,這裏只是文件名沒找到而已,而庫文件其實是在 $CUDA_HOME/lib
下的,所以手動鏈接一下就行,下面是對同類錯誤的庫進行統一處理:
sudo ln -s $CUDA_HOME/lib/libcufft.10.dylib $CUDA_HOME/lib/libcufft.10.0.dylib
sudo ln -s $CUDA_HOME/lib/libcurand.10.dylib $CUDA_HOME/lib/libcurand.10.0.dylib
sudo ln -s $CUDA_HOME/lib/libcublas.10.dylib $CUDA_HOME/lib/libcublas.10.0.dylib
sudo ln -s $CUDA_HOME/lib/libcudart.dylib $CUDA_HOME/lib/libcudart.10.0.dylib
sudo ln -s $CUDA_HOME/lib/libnvrtc.dylib $CUDA_HOME/lib/libnvrtc.10.0.dylib
sudo ln -s $CUDA_HOME/lib/libcusparse.10.dylib $CUDA_HOME/lib/libcusparse.10.0.dylib
參考引用
[1] 2018 MAC安裝CUDA、cuDNN(Gaming Box1070), 2019-04-12.