ThetaGPU (Argonne LCF)¶
ThetaGPU is an extension of Theta and is comprised of 24 NVIDIA DGX A100 nodes at Argonne Leadership Computing Facility (ALCF). See the documentation of ThetaGPU from the Datascience group at Argonne National Laboratory for more information. The system documentation from the ALCF can be accessed here.
Already installed module¶
This installation procedure shows you how to access the installed DeepHyper module on ThetaGPU. After logging in Theta, connect to a ThetaGPU service node:
$ ssh thetagpusn1
Then, to access Deephyper run the following commands:
$ module load conda/2021-09-22 $ conda activate base
Finally, to verify the installation do:
$ python >>> import deephyper >>> deephyper.__version__ '0.3.0'
This installation procedure shows you how to create your own Conda virtual environment and install DeepHyper in it.
It is important to run the following commands from the appropriate storage space because some features of DeepHyper can generate a consequante quantity of data such as model checkpointing. The storage spaces available at the ALCF are:
For more details refer to ALCF Documentation.
After logging in Theta, locate yourself on one of the ThetaGPU service node (
thetagpusnX) and move to your project folder (replace
PROJECTNAME by your own project name):
$ ssh thetagpusn1 $ cd /lus/theta-fs0/projects/PROJECTNAME
Then create the
$ module load conda/2021-09-22 $ conda create -p dhgpu --clone base $ conda activate dhgpu/
Finally install DeepHyper in the previously created
$ pip install pip --upgrade $ # DeepHyper + Analytics Tools (Parsing logs, Plots, Notebooks) $ pip install deephyper["analytics"]
Follow the Conda environment installation and replace
pip install deephyper[analytics] by:
$ git clone https://github.com/deephyper/deephyper.git $ cd deephyper/ && git checkout develop $ pip install -e ".[dev,analytics]"
If the node you are on does not have outbound network connectivity, set the following to access the proxy host:
$ export http_proxy=http://proxy.tmi.alcf.anl.gov:3128 $ export https_proxy=http://proxy.tmi.alcf.anl.gov:3128