Hoffman2:Singularity - Revision history

Hwang: /* Singularity */

2026-04-08T18:19:45Z

Singularity

← Older revision		Revision as of 18:19, 8 April 2026
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	Singularity is a type of container technology. It is provided in Hoffman2 currently.		Singularity is a type of container technology. It is provided in Hoffman2 currently.

	* Note: Singularity's newer versions are ~~changed to a~~ new name "Apptainer". It's recommended to use Apptainer instead of Singularity.		* Note: Singularity's newer versions are under its new name "Apptainer". It's recommended to use Apptainer instead of Singularity.
	Just need to replace all the "singularity" with "apptainer" in the following command and it should work the same way.		Just need to replace all the "singularity" with "apptainer" in the following command and it should work the same way.

2026-04-08T18:19:13Z

Singularity

← Older revision		Revision as of 18:19, 8 April 2026
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	* Note: Singularity's newer versions are changed to a new name "Apptainer". It's recommended to use Apptainer instead of Singularity.		* Note: Singularity's newer versions are changed to a new name "Apptainer". It's recommended to use Apptainer instead of Singularity.
			Just need to replace all the "singularity" with "apptainer" in the following command and it should work the same way.
	* Just need to replace all the "singularity" with "apptainer" in the following command and it should work the same way.

	===How to use Singularity===		===How to use Singularity===

2026-04-08T18:18:57Z

← Older revision		Revision as of 18:18, 8 April 2026
Line 3:		Line 3:

	Singularity is a type of container technology. It is provided in Hoffman2 currently.		Singularity is a type of container technology. It is provided in Hoffman2 currently.

			* Note: Singularity's newer versions are changed to a new name "Apptainer". It's recommended to use Apptainer instead of Singularity.

			* Just need to replace all the "singularity" with "apptainer" in the following command and it should work the same way.

	===How to use Singularity===		===How to use Singularity===

2021-08-12T22:38:46Z

Convert Docker image for Singularity

← Older revision		Revision as of 22:38, 12 August 2021
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	===Convert Docker image for Singularity===		===Convert Docker image for Singularity===
			Docker image can be converted for Singularity

	export SINGULARITY_CACHEDIR=$SCRATCH/singularity_cache		export SINGULARITY_CACHEDIR=$SCRATCH/singularity_cache
	singularity pull tensorflow-1.15.5-gpu-jupyter.sif docker://tensorflow/tensorflow:1.15.5-gpu-jupyter		singularity pull tensorflow-1.15.5-gpu-jupyter.sif docker://tensorflow/tensorflow:1.15.5-gpu-jupyter

2021-08-12T22:37:42Z

Convert Docker image for Singularity

← Older revision		Revision as of 22:37, 12 August 2021
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	===Convert Docker image for Singularity===		===Convert Docker image for Singularity===
	export SINGULARITY_CACHEDIR=$SCRATCH/singularity_cache		export SINGULARITY_CACHEDIR=$SCRATCH/singularity_cache
	singularity pull tensorflow-1.15.5-gpu-jupyter.sif docker://tensorflow/tensorflow:1.15.5-gpu-jupyter		singularity pull tensorflow-1.15.5-gpu-jupyter.sif docker://tensorflow/tensorflow:1.15.5-gpu-jupyter

2021-08-12T22:37:31Z

Singularity

← Older revision		Revision as of 22:37, 12 August 2021
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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

			===Convert Docker image for Singularity===
			export SINGULARITY_CACHEDIR=$SCRATCH/singularity_cache
			singularity pull tensorflow-1.15.5-gpu-jupyter.sif docker://tensorflow/tensorflow:1.15.5-gpu-jupyter

2021-08-12T22:36:33Z

How to use Singularity

← Older revision		Revision as of 22:36, 12 August 2021
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	The example code here is from IDRE team's		The example code here is from IDRE team's
	[https://gitlab.idre.ucla.edu/cpeterson/singularity_ws/-/tree/master \| gitlab].		[https://gitlab.idre.ucla.edu/cpeterson/singularity_ws/-/tree/master \| gitlab].
	Please ~~read more~~ for more information.		Please check it up for more information.

	====Interactive mode ====		====Interactive mode ====

2021-08-12T22:36:01Z

How to use Singularity

← Older revision		Revision as of 22:36, 12 August 2021
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	===How to use Singularity===		===How to use Singularity===

			The example code here is from IDRE team's
			[https://gitlab.idre.ucla.edu/cpeterson/singularity_ws/-/tree/master \| gitlab].
			Please read more for more information.

	====Interactive mode ====		====Interactive mode ====
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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]~~

2021-08-12T22:35:10Z

How to use Singularity

← Older revision		Revision as of 22:35, 12 August 2021
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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]

2021-08-12T22:33:28Z

How to use Singularity

← Older revision		Revision as of 22:33, 12 August 2021
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	module load singularity		module load singularity
	singularity shell --userns $H2_CONTAINER_LOC/tensorflow-2.4.1-gpu-jupyter.sif		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