export https_proxy=127.0.0.1:7890
export http_proxy=127.0.0.1:7890
export GLOO_SOCKET_IFNAME=bond0
export NCCL_SOCKET_IFNAME=bond0
export NCCL_IB_HCA=mlx5_10:1,mlx5_11:1,mlx5_12:1,mlx5_13:1
export NCCL_IB_GID_INDEX=3
export NCCL_IB_TC=162
export NCCL_IB_TIMEOUT=22
export NCCL_PXN_DISABLE=0
export NCCL_IB_QPS_PER_CONNECTION=4
# export NCCL_ALGO=Ring
export OMP_NUM_THREADS=1
export MKL_NUM_THREADS=1
export NCCL_ALGO=Tree
EXP_NAME=464641024layerNorm-reusuem1

torchrun \
    --nnodes=1 --nproc_per_node=6 \
    --rdzv_endpoint=localhost:29503 \
    --master_addr=localhost \
    --master_port=29600 \
    train_ddp.py \
    --exp_name ${EXP_NAME} \
    --pretrained_model_name_or_path /storage/clh/Causal-Video-VAE/results/464641024layerNorm-lr1.00e-05-bs1-rs256-sr2-fr25/r\
    --video_path /storage/dataset/pexels \
    --eval_video_path /storage/dataset/vae_eval/webvid \
    --resolution 256 \
    --num_frames 25 \
    --batch_size 1 \
    --disc_start 5000 \
    --save_ckpt_step 1000 \
    --eval_steps 1000 \
    --eval_batch_size 1 \
    --eval_num_frames 33 \
    --eval_sample_rate 1 \
    --eval_subset_size 100 \
    --eval_lpips \
    --ema \
    --ema_decay 0.999 \
    --perceptual_weight 1.0 \
    --loss_type l1 \
    --disc_cls causalvideovae.model.losses.LPIPSWithDiscriminator3D