Installation ============ The code is developed and tested on a machine with 8 Nvidia GPUs with the CentOS Linux 7.4 (Core) operation system. .. note:: We do not recommend installation as root user on your system python. Please setup an `Anaconda/Miniconda `_ environment and add the required packages to the environment. Please follow the steps below for a successful installation: #. Create a new conda environment: .. code-block:: none $ conda create -n py3_torch python=3.7 $ source activate py3_torch $ conda install pytorch torchvision cudatoolkit=9.2 -c pytorch #. Ensure that at least PyTorch 1.3.0 is installed: .. code-block:: none $ python -c 'import torch; print(torch.__version__)' >>> 1.3.0 #. Ensure CUDA is setup correctly (optional): #. Check if PyTorch is installed with CUDA support: .. code-block:: none $ python -c 'import torch; print(torch.cuda.is_available())' >>> True #. Add CUDA to ``$PATH`` and ``$CPATH`` (note that your actual CUDA path may vary from ``/usr/local/cuda``): .. code-block:: none $ PATH=/usr/local/cuda/bin:$PATH $ echo $PATH >>> /usr/local/cuda/bin:... $ CPATH=/usr/local/cuda/include:$CPATH $ echo $CPATH >>> /usr/local/cuda/include:... #. Verify that ``nvcc`` is accessible from terminal: .. code-block:: none $ nvcc --version >>> 9.2 #. Ensure that PyTorch and system CUDA versions match: .. code-block:: none $ python -c 'import torch; print(torch.version.cuda)' >>> 9.2 $ nvcc --version >>> 9.2 #. Download and install the package: .. code-block:: none $ git clone git@github.com:zudi-lin/pytorch_connectomics.git $ cd pytorch_connectomics $ pip install -r requirements.txt $ pip install --editable . .. note:: If you meet compilation errors, please check the `TROUBLESHOOTING.md `_. It is highly recommended to first play with the `demo `_ scripts to make sure that the installation is correct and also have intial taste of the modules.