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May 6, 2017 23:55
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Set up azure data science vm for cyclegan and pix2pix
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| sudo chown $USER /data | |
| sudo chgrp $USER /data | |
| # create new conda environment using python3 | |
| conda create --yes --name cs280 python=3.5 | |
| source activate cs280 | |
| # ------- | |
| #export CMAKE_PREFIX_PATH=[anaconda root directory] | |
| export CMAKE_PREFIX_PATH=$(conda env list | grep cs280 | sed 's|.* ||') | |
| # Install basic dependencies | |
| conda install --yes numpy pyyaml mkl setuptools cmake gcc cffi | |
| # Add LAPACK support for the GPU | |
| conda install --yes --channel soumith magma-cuda80 # or magma-cuda75 if CUDA 7.5 | |
| # install pytorch | |
| conda install --yes pytorch torchvision cuda80 --channel soumith | |
| # pytorch deps | |
| pip install visdom dominate | |
| # clone the repo | |
| cd /data | |
| git clone https://github.com/eldon/pytorch-CycleGAN-and-pix2pix.git |
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