[Feature] WIP: support sequence parallel #68
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序列并行设为 2 时的启动命令：
srun -p llm_razor --job-name=intern7b --quotatype=auto --gres=gpu:8 --ntasks=8 --ntasks-per-node=8 --cpus-per-task=16 --kill-on-bad-exit=1 python train_with_img.py --config configs/ffs/ffs_img_train_sp2.yamlloss 情况：
序列并行设为 1 时的启动命令：
srun -p llm_razor --job-name=intern7b --quotatype=auto --gres=gpu:4 --ntasks=4 --ntasks-per-node=4 --cpus-per-task=24 --kill-on-bad-exit=1 python train_with_img.py --config configs/ffs/ffs_img_train.yamlloss 情况：