3/5/2023 0 Comments Install cuda linux 9.5![]() ![]() configure.py -python-exe=/usr/bin/python3 -cuda-root=/usr/local/cuda -cudadrv-lib-dir=/usr/lib/x86_64-linux-gnu -boost-inc-dir=/usr/include -boost-lib-dir=/usr/lib -boost-python-libname=boost_python-p圓4 -boost-thread-libname=boost_thread -no-use-shipped-boost so e.g libboost_python.so but they should not be specified in the name) configure.py -cuda-root=/usr/local/cuda -cudadrv-lib-dir=/usr/lib/x86_64-linux-gnu -boost-inc-dir=/usr/include -boost-lib-dir=/usr/lib -boost-python-libname=boost_python -boost-thread-libname=boost_thread -no-use-shipped-boost (if still not works try to locate boost library files and change accordingly, libraries start with lib and end with. On Ubuntu 14.04 64bit version the command should be (boost lib folder and files changed) configure.py -cuda-root=/usr/local/cuda -cudadrv-lib-dir=/usr/lib -boost-inc-dir=/usr/include -boost-lib-dir=/usr/lib -boost-python-libname=boost_python-py27 -boost-thread-libname=boost_thread $ sudo apt-get install build-essential python-dev python-setuptools libboost-python-dev libboost-thread-dev -y Step 4: Download, unpack and install P圜UDA Or you may install from source if you're aiming for peak (CPU) performance. You may use Ubuntu's built-in numpy package by typing You may use Ubuntu's built-in Boost C++ library packages by typingīoost.Python has supported both Python 2.x and 3.x since 2009. Bonus: There are pre-built binary packages on that page. (P圜uda/Installation/Linux/Debian) generally is very similar to Ubuntu, so those instructions might work, too. You may also look at the (P圜uda/Installation/Linux) if you'd like to install manually. Ubuntu 8.10 works just like this, except for a changed boost version number. These instructions were written for Ubuntu 9.04 and also work for Ubuntu 10.04, 10.10 and 11.04. ![]()
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