{"action":"created","comment":{"url":"https://api.github.com/repos/rcgsheffield/iceberg_software/pulls/comments/70292541","id":70292541,"diff_hunk":"@@ -0,0 +1,41 @@\n+.. _Theano:\n+\n+Deep Learning with Theano on GPU Nodes\n+-----------------------\n+\n+Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano is most commonly used to perform deep learning and has excellent GPU support and integration through PyCUDA. The following steps can be used to setup and configure Theano on your own profile.\n+\n+Request an interactive session with a sufficient amount of memory:\n+\n+\t\tqsh -l gpu=1 -P gpu --l gpu_arch=nvidia-k40m -l mem=13G\n+\n+Load the relevant modules\n+\n+\t\tmodule load apps/python/anaconda3-2.5.0\n+\t\tmodule load libs/cuda/7.5.18\n+\n+Create a conda environment to load relevant modules on your local user account\n+\n+\t\tconda create -n theano python=3.5 anaconda3-2.5.0 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you need to install the whole anaconda stack rather than just the core dependencies of theano?\r\n\r\na quicker version of this command may be to clone the central anaconda3-2.5.0 env with: `conda create --clone anaconda3-2.5.0 -n 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