Removing top-level scripts

Scripts will split into several cluster lanes

cluster_info.json

@@ -1,11 +0,0 @@
-{
-    "name" : "merlin5",
-    "worker_bin_path" : "/gpfs/data/ozerov_d/cryosparc/cryosparc2_worker/bin/cryosparcw",
-    "cache_path" : "/ssd-scratch/",
-    "send_cmd_tpl" : "{{ command }}",
-    "qsub_cmd_tpl" : "sbatch {{ script_path_abs }}",
-    "qstat_cmd_tpl" : "squeue -j {{ cluster_job_id }}",
-    "qdel_cmd_tpl" : "scancel {{ cluster_job_id }}",
-    "qinfo_cmd_tpl" : "sinfo",
-    "transfer_cmd_tpl" : "cp {{ src_path }} {{ dest_path }}"
-}

cluster_script.sh

@@ -1,52 +0,0 @@
-#!/usr/bin/env bash
-#### cryoSPARC cluster submission script template for SLURM
-## Available variables:
-## {{ run_cmd }}            - the complete command string to run the job
-## {{ num_cpu }}            - the number of CPUs needed
-## {{ num_gpu }}            - the number of GPUs needed. 
-##                            Note: the code will use this many GPUs starting from dev id 0
-##                                  the cluster scheduler or this script have the responsibility
-##                                  of setting CUDA_VISIBLE_DEVICES so that the job code ends up
-##                                  using the correct cluster-allocated GPUs.
-## {{ ram_gb }}             - the amount of RAM needed in GB
-## {{ job_dir_abs }}        - absolute path to the job directory
-## {{ project_dir_abs }}    - absolute path to the project dir
-## {{ job_log_path_abs }}   - absolute path to the log file for the job
-## {{ worker_bin_path }}    - absolute path to the cryosparc worker command
-## {{ run_args }}           - arguments to be passed to cryosparcw run
-## {{ project_uid }}        - uid of the project
-## {{ job_uid }}            - uid of the job
-##
-## What follows is a simple SLURM script:
-
-#SBATCH --job-name cryosparc_{{ project_uid }}_{{ job_uid }}
-#SBATCH -n {{ num_cpu }}
-##SBATCH --gres=gpu:{{ num_gpu }}
-#SBATCH -p gpu
-##SBATCH --mem={{ (ram_gb*1000)|int }}MB             
-#SBATCH --mem=64000MB
-#SBATCH -o {{ job_dir_abs }}/job.out
-#SBATCH -e {{ job_dir_abs }}/job.err
-#SBATCH --nodes=1
-#SBATCH --exclusive
-#SBATCH --exclude=merlin-g-02
-
-available_devs=""
-for devidx in $(seq 0 15);
-do
-    if [[ -z $(nvidia-smi -i $devidx --query-compute-apps=pid --format=csv,noheader) ]] ; then
-        if [[ -z "$available_devs" ]] ; then
-            available_devs=$devidx
-        else
-            available_devs=$available_devs,$devidx
-        fi
-    fi
-done
-export CUDA_VISIBLE_DEVICES=$available_devs
-
-hostname
-echo "CUDA_VISIBLE_DEVICES : ${CUDA_VISIBLE_DEVICES}"
-echo "{{ run_cmd }}"
-
-{{ run_cmd }}
-