Remove sbatch*.sh

.gitignore

@@ -11,6 +11,9 @@ rl
 nautilus/*.yaml
 *.key
 
+# Slurm
+sbatch*.sh
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

sbatch.sh

@@ -1,25 +0,0 @@
-#!/bin/bash
-#SBATCH --nodes=1            # total number of nodes (N to be defined)
-#SBATCH --ntasks-per-node=1  # number of tasks per node (here 8 tasks, or 1 task per GPU)
-#SBATCH --gres=gpu:1         # number of GPUs reserved per node (here 8, or all the GPUs)
-#SBATCH --cpus-per-task=8    # number of cores per task (8x8 = 64 cores, or all the cores)
-#SBATCH --time=2-00:00:00
-#SBATCH --output=/home/rcadene/slurm/%j.out
-#SBATCH --error=/home/rcadene/slurm/%j.err
-#SBATCH --qos=low
-#SBATCH --mail-user=re.cadene@gmail.com
-#SBATCH --mail-type=ALL
-
-CMD=$@
-echo "command: $CMD"
-
-apptainer exec --nv \
-~/apptainer/nvidia_cuda:12.2.2-devel-ubuntu22.04.sif $SHELL
-
-source ~/.bashrc
-#conda activate fowm
-conda activate lerobot
-
-export DATA_DIR="data"
-
-srun $CMD

sbatch_hopper.sh

@@ -1,17 +0,0 @@
-#!/bin/bash
-#SBATCH --nodes=1            # total number of nodes (N to be defined)
-#SBATCH --ntasks-per-node=1  # number of tasks per node (here 8 tasks, or 1 task per GPU)
-#SBATCH --qos=normal         # number of GPUs reserved per node (here 8, or all the GPUs)
-#SBATCH --partition=hopper-prod
-#SBATCH --gres=gpu:1         # number of GPUs reserved per node (here 8, or all the GPUs)
-#SBATCH --cpus-per-task=12    # number of cores per task
-#SBATCH --mem-per-cpu=11G
-#SBATCH --time=12:00:00
-#SBATCH --output=/admin/home/remi_cadene/slurm/%j.out
-#SBATCH --error=/admin/home/remi_cadene/slurm/%j.err
-#SBATCH --mail-user=remi_cadene@huggingface.co
-#SBATCH --mail-type=ALL
-
-CMD=$@
-echo "command: $CMD"
-srun $CMD