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Clarify use of gres flag for GPU images.

Merged Clarify use of gres flag for GPU images.
singularity-gpu into master
Merged Adam Caprez requested to merge singularity-gpu into master
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content/guides/running_applications/using_singularity.md
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@@ -142,10 +142,17 @@ the `tensorflow-gpu` image and need the packages `nibabel` and `tables`.
@@ -142,10 +142,17 @@ the `tensorflow-gpu` image and need the packages `nibabel` and `tables`.
{{% panel theme="info" header="Run an interactive SLURM job" %}}
{{% panel theme="info" header="Run an interactive SLURM job" %}}
{{< highlight bash >}}
{{< highlight bash >}}
srun --pty --mem=4gb --qos=short $SHELL
srun --pty --mem=4gb --qos=short --gres=gpu --partition=gpu $SHELL
{{< /highlight >}}
{{< /highlight >}}
{{% /panel %}}
{{% /panel %}}
 
{{% notice info %}}
 
The `--gres=gpu --partition=gpu` options are used here as the `tensorflow-gpu` image is
 
GPU enabled. If you are using a non-GPU image, you may omit those options. See the page
 
on [submitting GPU jobs]({{< relref "/guides/submitting_jobs/submitting_cuda_or_openacc_jobs/_index.md" >}})
 
for more information.
 
{{% /notice %}}
 
After the job starts, the prompt will change to indicate you're on a
After the job starts, the prompt will change to indicate you're on a
worker node. Next, start an interactive session in the container.
worker node. Next, start an interactive session in the container.