SignVerse-2M / debug /benchmark_dwpose_cpu_vs_gpu.slurm
Sen Fang
Update pipeline orchestration and optimized processing
fa3502a
#!/usr/bin/env bash
#SBATCH --job-name=dwpose-cpu-gpu-bench
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=32
#SBATCH --gres=gpu:1
#SBATCH --mem=32G
#SBATCH --time=02:00:00
#SBATCH --output=/home/sf895/SignVerse-2M-runtime/slurm/logs/dwpose_cpu_gpu_bench_%j.out
#SBATCH --error=/home/sf895/SignVerse-2M-runtime/slurm/logs/dwpose_cpu_gpu_bench_%j.err
set -euo pipefail
ROOT_DIR="/cache/home/sf895/SignVerse-2M"
CONDA_SH="/home/sf895/miniconda3/etc/profile.d/conda.sh"
CONDA_ENV="signx2"
SCRIPT="$ROOT_DIR/debug/benchmark_dwpose_cpu_vs_gpu.py"
VIDEO_ID="${1:?video id required}"
FPS="${FPS:-24}"
MAX_FRAMES="${MAX_FRAMES:-240}"
CPU_THREADS="${CPU_THREADS:-1,2,4,8,16,32}"
RAW_VIDEO_DIR="${RAW_VIDEO_DIR:-/home/sf895/SignVerse-2M-runtime/raw_video}"
source "$CONDA_SH"
printf 'video_id=%s\n' "$VIDEO_ID"
printf 'hostname=%s\n' "$(hostname)"
printf 'cuda_visible_devices=%s\n' "${CUDA_VISIBLE_DEVICES:-unset}"
printf 'fps=%s\n' "$FPS"
printf 'max_frames=%s\n' "$MAX_FRAMES"
printf 'cpu_threads=%s\n' "$CPU_THREADS"
conda run -n "$CONDA_ENV" python "$SCRIPT" \
--video-id "$VIDEO_ID" \
--raw-video-dir "$RAW_VIDEO_DIR" \
--fps "$FPS" \
--max-frames "$MAX_FRAMES" \
--cpu-threads "$CPU_THREADS"