Hoffman2:Singularity: Difference between revisions
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singularity exec --userns $H2_CONTAINER_LOC/tensorflow-2.4.1-gpu-jupyter.sif python3 tf-example.py > tf-example-batch.out | singularity exec --userns $H2_CONTAINER_LOC/tensorflow-2.4.1-gpu-jupyter.sif python3 tf-example.py > tf-example-batch.out | ||
The example code above is from IDRE team's | |||
[https://gitlab.idre.ucla.edu/cpeterson/singularity_ws/-/tree/master | gitlab] | |||
Revision as of 22:35, 12 August 2021
Singularity
Singularity is a type of container technology. It is provided in Hoffman2 currently.
How to use Singularity
Interactive mode
In a CentOs 7 Node, load Singularity module as
module load singularity singularity shell --userns $H2_CONTAINER_LOC/tensorflow-2.4.1-gpu-jupyter.sif
Then run your command inside of the container
python3 tf-example.py > tf-example-batch.out
Batch mode
Add the following line into your batch job script
module load singularity/3.7.1
Use "singularity exec" to run command in Singularity container
Example
singularity exec --userns $H2_CONTAINER_LOC/tensorflow-2.4.1-gpu-jupyter.sif python3 tf-example.py > tf-example-batch.out
The example code above is from IDRE team's | gitlab