Running Remotely ================ Requirements: - Make sure your system has Python 3.7 or greater. - Make sure MCS has been installed per the install instructions To run MCS on a remote GPU server, use the following steps to launch an X11 server. .. code-block:: console # Update and install dependencies $ sudo apt-get install xserver-xorg $ sudo apt-get install xorg $ sudo apt-get install nvidia-driver-470 $ sudo apt-get install glxinfo # Identify your machine's GPU BusID $ nvidia-xconfig --query-gpu-info GPU #0: Name : Tesla K80 UUID : GPU-d03a3d49-0641-40c9-30f2-5c3e4bdad498 PCI BusID : PCI:0:30:0 # Create the Xserver configuration using the BusID # Your virtual display size should be much larger than the MCS Unity window size (default 600x400) $ sudo nvidia-xconfig --use-display-device=None --virtual=1200x800 --output-xconfig=/etc/X11/xorg.conf --busid=PCI:0:30:0 # Launch Xserver $ sudo /usr/bin/Xorg :0 & # Test the display setting using glxinfo $ DISPLAY=:0 glxinfo name of display: :0 display: :0 screen: 0 direct rendering: Yes server glx vendor string: NVIDIA Corporation server glx version string: 1.4 Remote Cache Addressables Script -------------------------------- .. code-block:: console # Activate your python virtual environment $ DISPLAY=:0 cache_addressables Remote Runs on AWS ------------------ The following code was run on an AWS p2-xlarge with the Ubuntu Deep Learning AMI. .. code-block:: bash # Follow the instructions listed above to launch Xserver $ sudo nvidia-xconfig --use-display-device=None --virtual=1200x800 --output-xconfig=/etc/X11/xorg.conf --busid=PCI:0:30:0 $ sudo /usr/bin/Xorg :0 & # Download the MCS repository $ git clone https://github.com/NextCenturyCorporation/MCS.git $ cd MCS # Install and activate a new python virtual environment $ sudo apt-get install python3-venv $ sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 1 $ python -m venv venv $ . venv/bin/activate # Install the python dependencies $ pip install --upgrade pip setuptools wheel $ python -m pip install -r requirements.txt $ python -m pip install -e . # Do a test run $ python machine_common_sense/scripts/run_just_rotate.py docs/source/scenes/ball_far.json