我在EC2上运行了GPU实例,我正在尝试安装cudamat .
我已将副本下载到我的主目录:
git clone https://github.com/cudamat/cudamat
然后我进入该目录并运行:sudo pip install .
错误是“命令'nvcc'因退出状态1而失败 .
下面是完整的消息:解压缩/ home / ubuntu / cudamat从file:/// home / ubuntu / cudamat PATH = / usr运行setup.py(路径:/tmp/pip-s7db_8yv-build/setup.py)egg_info包/ local / sbin:/ usr / local / bin:/ usr / sbin:/ usr / bin:/ sbin:/ bin / tmp / pip-s7db_8yv-build
Installing collected packages: cudamat
Running setup.py install for cudamat
PATH = /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
/tmp/pip-s7db_8yv-build
building 'cudamat.libcudamat' extension
nvcc -I/usr/include/python3.4m -c cudamat/cudamat.cu -o build/temp.linux-x86_64-3.4/cudamat/cudamat.o -O --ptxas-options=-v --compiler-options=-fPIC
error: command 'nvcc' failed with exit status 1
Complete output from command /usr/bin/python3 -c "import setuptools, tokenize;__file__='/tmp/pip-s7db_8yv-build/setup.py';exec(compile(getattr(tokenize, 'open', open)(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-nulrhjnl-record/install-record.txt --single-version-externally-managed --compile:
PATH = /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
/tmp/pip-s7db_8yv-build
running install
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.4
creating build/lib.linux-x86_64-3.4/cudamat
copying cudamat/learn.py -> build/lib.linux-x86_64-3.4/cudamat
copying cudamat/__init__.py -> build/lib.linux-x86_64-3.4/cudamat
copying cudamat/cudamat.py -> build/lib.linux-x86_64-3.4/cudamat
running egg_info
creating cudamat.egg-info
writing cudamat.egg-info/PKG-INFO
writing dependency_links to cudamat.egg-info/dependency_links.txt
writing top-level names to cudamat.egg-info/top_level.txt
writing manifest file 'cudamat.egg-info/SOURCES.txt'
warning: manifest_maker: standard file '-c' not found
reading manifest file 'cudamat.egg-info/SOURCES.txt'
writing manifest file 'cudamat.egg-info/SOURCES.txt'
copying cudamat/cudamat.cu -> build/lib.linux-x86_64-3.4/cudamat
copying cudamat/cudamat_kernels.cu -> build/lib.linux-x86_64-3.4/cudamat
copying cudamat/learn.cu -> build/lib.linux-x86_64-3.4/cudamat
copying cudamat/learn_kernels.cu -> build/lib.linux-x86_64-3.4/cudamat
copying cudamat/rnd_multipliers_32bit.txt -> build/lib.linux-x86_64-3.4/cudamat
running build_ext
building 'cudamat.libcudamat' extension
creating build/temp.linux-x86_64-3.4
creating build/temp.linux-x86_64-3.4/cudamat
nvcc -I/usr/include/python3.4m -c cudamat/cudamat.cu -o build/temp.linux-x86_64-3.4/cudamat/cudamat.o -O --ptxas-options=-v --compiler-options=-fPIC
error: command 'nvcc' failed with exit status 1
路径有问题 . 因为找不到nvcc . 当我输入时:
echo $PATH
/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
有人有想法吗?
干杯
2 回答
只有在使用sudo时才会出现错误 .
sudo更改$ PATH变量,具体取决于安全策略 .
如果使用以下内容,问题将得到解决:
nvcc没有配置为sudo访问(我可能错误地说这句话,但简而言之,nvcc不适用于sudo)
这个问题有两个解决方案:
给suv访问nvcc(你提到过),这可能是效率低下的方法 .
安装cudamat时不要使用sudo,而是在cudamat目录中使用以下命令 .
python setup.py install --user
注意:
在安装后进行测试时,请不要使用cudamat目录中的
import cudamat
,这将通过错误说明找不到cudamat / cudamat .它将在本地目录中查找 .
回家并使用
import cudamat
它会起作用