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--- software:singularity:caviness [2018-08-08 18:04] – created anita
+++ software:singularity:caviness [2021-05-06 18:45] (current) – [Troubleshooting] anita
@@ Line 1: / Line 1: @@
 ======= Singularity on Caviness ======
+===== Build a Singularity container =====
+There are several ways to get a Singularity container onto Caviness, but here are the two to consider using if reproducibility is important.
+  * You can build a Singularity container from a Docker or Singularity Hub on Caviness.
+  * You can build a container on your local system and copy it to Caviness.
+==== Build a Singularity container from Docker or Singularity Hub Registry ====
+Caviness does not support Docker, but you can build a Singularity container from an existing Docker container or from a Singularity Hub container regsitry. Starting on the head node, load the Singularity software into your environment using VALET, and build your container.
+=== Docker Hub example ===
+<code>
+$ vpkg_require singularity
+$ singularity build tensorflow.simg docker://tensorflow/tensorflow
+</code>
+=== Singularity Hub example ===
+<code>
+$ vpkg_require singularity
+$ singularity build hello-world.simg shub://vsoch/hello-worldw
+</code>
+More details on this can be found in the [[http://singularity.lbl.gov/quickstart|Singularity User Guide]].
+One example of a container registry is [[https://biocontainers.pro/registry/#/]].
+==== Build a container on your local system ====
+You can build your Singularity container on your local system, installing the singularity program if you need to.  For more information on how to do this, see the [[http://singularity.lbl.gov/quickstart|Singularity web site]].   Copy your container to Caviness using the usual file transfer methods. See the [[abstract:caviness:transfer|Transferring files to/from Caviness]] for more information.
+===== Execute your Singularity container through SLURM =====
+Once your container is on Caviness you can run it. Containers must run on Caviness' compute nodes, not on the head node. Remember you must specify a **[[abstract:caviness:app_dev:compute_env#using-workgroup-and-directories|workgroup]]** before running any jobs on Caviness, then use either the ''salloc'' or ''sbatch'' command to get access to a compute node.  See the [[abstract:caviness:runjobs:runjobs|Running Jobs on Caviness]] for more information on SLURM and using Caviness' compute nodes.
+==== Inside your interactive session or your batch job you must first issue the command ====
+<code>
+vpkg_require singularity
+</code>
+Then you can use the singularity commands to execute your container, like the example below.
+<code>
+[traine@login01 ~]$ workgroup -g it_css
+[(it_css:traine)@login01 ~]$ salloc --ntasks=1 --cpus-per-task=4
+salloc: Granted job allocation 844
+salloc: Waiting for resource configuration
+salloc: Nodes r00n45 are ready for job
+[traine@r00n45 ~]$ vpkg_require singularity
+Adding package `singularity/2.5.1` to your environment
+[traine@r00n45 ~]$ singularity shell tensorflow.simg
+Singularity: Invoking an interactive shell within container...
+Singularity tensorflow.simg:~> tensorboard --help
+usage: tensorboard [-h] [--logdir PATH] [--host ADDR] [--port PORT]
+                   [--purge_orphaned_data BOOL] [--reload_interval SECONDS]
+                   [--db URI] [--inspect] [--tag TAG] [--event_file PATH]
+                   [--path_prefix PATH] [--window_title TEXT]
+                   [--max_reload_threads COUNT]
+                   [--samples_per_plugin SAMPLES_PER_PLUGIN]
+                   [--master_tpu_unsecure_channel ADDR]
+                   [--debugger_data_server_grpc_port PORT]
+                   [--debugger_port PORT]
+TensorBoard is a suite of web applications for inspectinng and understanding
+your TensorFlow runs and graphs. https://github.com/tensorflow/tensorboard
+Singularity tensorflow.simg:~> grep Cpus_allowed_list /proc/$$/status
+Cpus_allowed_list:	0-3
+Singularity tensorflow.simg:~> exit
+exit
+[traine@r00n45 ~]$
+</code>
+==== Troubleshooting ====
+=== Locale error ===
+If you experience the error below after starting a particular shell container, then it is likely due to your current locale not being supported in this particular container's shell.
+<code bash>
+[traine@r00n45 ~]$ vpkg_require singularity
+Adding package `singularity/2.5.1` to your environment
+[traine@r00n45 ~]$ singularity shell tensorflow.simg
+Singularity: Invoking an interactive shell within container...
+Singularity tensorflow.simg:~> tensorboard --help
+Traceback (most recent call last):
+  File "/usr/local/bin/tensorboard", line 11, in <module>
+    sys.exit(run_main())
+  File "/usr/local/lib/python2.7/dist-packages/tensorboard/main.py", line 48, in run_main
+    program.setup_environment()
+  File "/usr/local/lib/python2.7/dist-packages/tensorboard/program.py", line 57, in setup_environment
+    util.setup_logging()
+  File "/usr/local/lib/python2.7/dist-packages/tensorboard/util.py", line 50, in setup_logging
+    locale.setlocale(locale.LC_ALL, '')
+  File "/usr/lib/python2.7/locale.py", line 581, in setlocale
+    return _setlocale(category, locale)
+locale.Error: unsupported locale setting
+</code>
+Once you start the container shell, check which locale's are supported by using the ''locale -a'' command:
+<code bash>
+Singularity tensorflow.simg:~> locale -a
+locale: Cannot set LC_CTYPE to default locale: No such file or directory
+locale: Cannot set LC_MESSAGES to default locale: No such file or directory
+locale: Cannot set LC_COLLATE to default locale: No such file or directory
+C
+C.UTF-8
+POSIX
+</code>
+Of course in this particular case, the locale setting for account ''traine'' is defined as ''en_US.UTF-8'' which is not supported in this shell.  To fix the situation, simply set the ''LANG'' locale to one that is supported before starting the container shell.
+<code bash>
+[traine@r00n45 ~]$ vpkg_require singularity
+Adding package `singularity/2.5.1` to your environment
+[tainne@r00n45 ~]$ LANG=C.UTF-8 singularity shell tensorflow.simg
+Singularity: Invoking an interactive shell within container...
+Singularity tensorflow.simg:~> tensorboard --help
+usage: tensorboard [-h] [--logdir PATH] [--host ADDR] [--port PORT]
+                   [--purge_orphaned_data BOOL] [--reload_interval SECONDS]
+                   [--db URI] [--inspect] [--tag TAG] [--event_file PATH]
+                   [--path_prefix PATH] [--window_title TEXT]
+                   [--max_reload_threads COUNT]
+                   [--samples_per_plugin SAMPLES_PER_PLUGIN]
+                   [--master_tpu_unsecure_channel ADDR]
+                   [--debugger_data_server_grpc_port PORT]
+                   [--debugger_port PORT]
+TensorBoard is a suite of web applications for inspectinng and understanding
+your TensorFlow runs and graphs. https://github.com/tensorflow/tensorboard
+[[ lots of additional information displayed for optional arguments
+Singularity tensorflow.simg:~> exit
+exit
+[traine@r00n45 ~]$
+</code>
+==== Common Singularity commands ====
+Some common commands are listed here. For more information about Singularity, see the [[http://singularity.lbl.gov/quickstart|Singularity web site]].
+| ''shell'' | Start a shell within your container using the operating system you have set up your container to use.|
+| ''exec'' | Run a single command within your container.|
+| ''run'' | Run a recipe script you have set up within your container. Using a recipe script forces users of your container to use a pre-established workflow.|
+| ''help'' | Provides help on Singularity.|