pytorch fix

docs/hpc/06_tools_and_software/08_utils.mdx

@@ -66,11 +66,14 @@ It will provide detailed information like:
 -   device details like power consumption and temperature
 
 :::tip
-To monitor running jobs, use:
+You can get output refreshed every 5 seconds with:
 ```bash
-[NetID@gl001 ~]$ watch -n 1 nvidia-smi
+nvidia-smi -l 5
+```
+Alternatively, you can use:
+```bash
+/share/apps/images/run-nvtop-3.2.0.bash nvtop
 ```
-on the compute node
 :::
 
 :::tip

docs/hpc/08_ml_ai_hpc/02_pytorch_intro.md

@@ -31,7 +31,7 @@ We also need to add the profiler `kernprof` (in the line_profiler package) to th
 [NetID@log-1 ~]$ srun --pty -c 2 --mem=5GB /bin/bash
 [NetID@cm001 ~]$ singularity exec \
 	            --overlay /scratch/NetID/pytorch-example/my_pytorch.ext3:rw \
-	            /scratch/work/public/singularity/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif \
+	            /share/apps/images/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif \
 	            /bin/bash
 Singularity> source /ext3/env.sh
 Singularity> pip install line_profiler
@@ -62,7 +62,7 @@ Let's first switch to a compute node, so we don't overly tax our login node:
 
 This uses the `torchvision` package, so you'll need to run it with our overlay file:
 ```bash
-[NetID@cm001 pytorch_single_gpu]$ singularity exec --nv --overlay /scratch/rjy1/pytorch-example/my_pytorch.ext3:ro /scratch/work/public/singularity/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif /bin/bash -c "source /ext3/env.sh; python download_data.py"
+[NetID@cm001 pytorch_single_gpu]$ singularity exec --nv --overlay /scratch/NetID/pytorch-example/my_pytorch.ext3:ro /share/apps/images/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif /bin/bash -c "source /ext3/env.sh; python download_data.py"
 ```
 After running the command above you should see that it has created a subdirectory named `data` that contains the data we'll use in this example.
 
@@ -243,7 +243,7 @@ module purge
 
 srun singularity exec --nv \
 	    --overlay /scratch/NetID/pytorch-example/my_pytorch.ext3:ro \
-	    /scratch/work/public/singularity/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif\
+	    /share/apps/images/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif\
 	    /bin/bash -c "source /ext3/env.sh; kernprof -o ${SLURM_JOBID}.lprof -l mnist_classify.py --epochs=3"
 ```
 
@@ -279,7 +279,7 @@ We installed [line_profiler](https://researchcomputing.princeton.edu/python-prof
 [NetID@log-1 ~]$ srun --pty -c 2 --mem=5GB /bin/bash
 [NetID@cm001 ~]$ singularity exec \
 	            --overlay /scratch/NetID/pytorch-example/my_pytorch.ext3:rw \
-	            /scratch/work/public/singularity/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif \
+	            /share/apps/images/cuda12.1.1-cudnn8.9.0-devel-ubuntu22.04.2.sif \
 	            /bin/bash -c "source /ext3/env.sh; python -m line_profiler -rmt *.lprof"
 Timer unit: 1e-06 s
 

docs/hpc/08_ml_ai_hpc/05_llm_fine_tuning.md

@@ -129,7 +129,7 @@ This section provides a comprehensive overview of all environment-related issues
 
 |Problem|Symptom|Cause|Resolution|
 |---|---|---|---|
-|Incorrect overlay filename|No such file: `overlay-50GB-500K.ext3.gz`|The filename was incorrectly assumed|Use `ls /scratch/work/public/overlay-fs-ext3/` to verify the correct file: `overlay-50G-10M.ext3.gz`|
+|Incorrect overlay filename|No such file: `overlay-50GB-500K.ext3.gz`|The filename was incorrectly assumed|Use `ls /share/apps/images` to verify the correct file: `overlay-50G-10M.ext3.gz`|
 |Compressed overlay used directly|`FATAL: while loading overlay images...`|Attempted to use `.gz` file directly with Singularity|Run `gunzip overlay-50G-10M.ext3.gz` before using the file|
 |Overlay missing in working directory|sbatch cannot find the overlay file|Overlay not copied to the training directory|Ensure the overlay file is placed in `/scratch/<NetID>/fine-tune/` where sbatch accesses it|
 |Invalid overlay structure|`FATAL: could not create upper dir`|Overlay created via `fallocate` + `mkfs.ext3`, missing necessary internal structure|Always use `singularity overlay create --size 25000` to create overlays|