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authorAnthony LaTorre <devnull@localhost>2017-11-10 15:18:15 -0600
committertlatorre <tlatorre@uchicago.edu>2021-05-09 08:42:39 -0700
commita735b3321b9b3a0bcb60198c36560869f451c0e2 (patch)
tree89b053584aa52e4a13e70323d3b80d605f2695b3
parent29c2838f8034f60126afe607ed303ae96ea6ded6 (diff)
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update rhel/centos/scientific linux installation instructions
-rw-r--r--doc/source/install/overview.rst6
-rw-r--r--doc/source/install/rhel.rst19
2 files changed, 12 insertions, 13 deletions
diff --git a/doc/source/install/overview.rst b/doc/source/install/overview.rst
index cb2db1e..488ae49 100644
--- a/doc/source/install/overview.rst
+++ b/doc/source/install/overview.rst
@@ -103,13 +103,9 @@ libraries into the virtualenv, isolating them from the rest of your system::
# Search this site for shrinkwrap packages used by Chroma
export PIP_EXTRA_INDEX_URL=https://chroma.bitbucket.io/chroma_pkgs/
- # On RHEL/Centos/Scientific Linux ONLY, uncomment and run the following commands
- # pip install -U numpy
- # easy_install pygame
-
# This will take a LONG time.
# If interrupted, run the command again and it will resume where it left off
- pip install chroma_deps
+ pip install chroma-deps
# Refresh environment variables
source $VIRTUAL_ENV/bin/activate
diff --git a/doc/source/install/rhel.rst b/doc/source/install/rhel.rst
index c326408..5b4aca2 100644
--- a/doc/source/install/rhel.rst
+++ b/doc/source/install/rhel.rst
@@ -13,7 +13,8 @@ As the root user, run the following commands::
mercurial git subversion mesa-libGLU-devel freeglut-devel SDL-devel gtk2-devel \
libXpm-devel libXft-devel libXext-devel libXlibX11-devel expat-devel bzip2-devel \
libXt-devel
- easy_install virtualenv
+ yum install epel-release
+ yum install virtualenv pygame numpy
Step 2: Disable the Nouveau Graphics Driver
@@ -33,9 +34,8 @@ Step 3: Install the CUDA Driver and Toolkit
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The NVIDIA driver can be installed by going to the `CUDA Downloads
-<https://developer.nvidia.com/cuda-downloads>`_ and downloading the rpm package
-corresponding to your operating system, and then following the installation instructions `here <http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/index.html#package-manager-installation>`_. This single package includes a current
-NVIDIA driver, the CUDA compiler toolkit, and sample programs.
+<https://developer.nvidia.com/cuda-downloads>`_ and downloading the runfile
+corresponding to your operating system.
Drop to a console terminal by pressing `CTRL+ALT+F1` and then enter::
@@ -45,13 +45,16 @@ Drop to a console terminal by pressing `CTRL+ALT+F1` and then enter::
Login again at the prompt and enter the following commands::
su -
- cd /home/user/Downloads
- chmod +x cuda_5.0.35_linux_64_ubuntu11.10-1.run
- .cuda_5.0.35_linux_64_ubuntu11.10-1.run
+ cd
+ cp /home/[your username]/Downloads/cuda_9.0.176_384.81_linux.run .
+ chmod +x cuda_9.0.176_384.81_linux.run
+ ./cuda_9.0.176_384.81_linux.run
During the installation you can pick all the default options.
-Once installed, you can ensure the CUDA compiler and libraries are in your path by adding the following lines to your bash login script (usually $HOME/.bashrc)::
+Once installed, you can ensure the CUDA compiler and libraries are in your path
+by adding the following lines to your bash login script (usually
+$HOME/.bashrc)::
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH