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--- cs501r_f2016:openlabtf [2016/09/20 22:14]
wingated
+++ cs501r_f2016:openlabtf [2021/06/30 23:42]
@@ Line 1: / Line 1: @@
-Here are some notes for getting Tensorflow installed and running on the open lab machines.
-First of all, you can always just use my anaconda installation, which already has Tensorflow 0.10 installed. It can be found at
-''/users/faculty/wingated/anaconda2''
-In order to use it, you should be able to add the following line to your ''~/.bashrc'':
-''export PATH="/users/faculty/wingated/anaconda2/bin:$PATH"''
-If for whatever reason you would like your own anaconda installation, here are the exact steps I took to install it:
-<code bash>
-wget https://repo.continuum.io/archive/Anaconda2-4.1.1-Linux-x86_64.sh
-bash ./Anaconda2-4.1.1-Linux-x86_64.sh
-. ~/.bashrc
-export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0-cp27-none-linux_x86_64.whl
-pip install --upgrade $TF_BINARY_URL
-pip install -I --upgrade setuptools
-pip install --upgrade $TF_BINARY_URL
-</code>
-(When anaconda asks you if you want it to modify your ''.bashrc'', I answered yes.  All it does is append that PATH modification line.)
-Note that this installs the CPU-only version.
-Note that no ''sudo'' commands are used -- that's because the ''pip'' commands I used were the anaconda ones.
-----
-Fellow lab mate Darin Costello reports that the following worked for him: given a working anaconda install, he used
-''conda install -c conda-forge tensorflow''

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