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train lora on cogvideox1.5-i2v-5b OOM #787

@Vickeyhw

Description

@Vickeyhw

System Info / 系統信息

OOM on 8 A800 40G GPUs , i use the train_ddp_i2v.sh

`ATA_ARGS=(
--data_root "videos_perpromptunion_0718"
--caption_column "prompt.txt"
--video_column "videos.txt"
# --image_column "images.txt" # comment this line will use first frame of video as image conditioning
--train_resolution "81x768x1360" # (frames x height x width), frames should be 8N+1
)

Training Configuration

TRAIN_ARGS=(
--train_epochs 2 # number of training epochs
--seed 42 # random seed
--batch_size 1
--gradient_accumulation_steps 1
--mixed_precision "bf16" # ["no", "fp16"] # Only CogVideoX-2B supports fp16 training
)

System Configuration

SYSTEM_ARGS=(
--num_workers 8
--pin_memory True
--nccl_timeout 1800
)

Checkpointing Configuration

CHECKPOINT_ARGS=(
--checkpointing_steps 50 # save checkpoint every x steps
--checkpointing_limit 2 # maximum number of checkpoints to keep, after which the oldest one is deleted
# --resume_from_checkpoint "/absolute/path/to/checkpoint_dir" # if you want to resume from a checkpoint, otherwise, comment this line
)

Validation Configuration

VALIDATION_ARGS=(
--do_validation false # ["true", "false"]
--validation_dir "/absolute/path/to/your/validation_set"
--validation_steps 20 # should be multiple of checkpointing_steps
--validation_prompts "prompts.txt"
--validation_images "images.txt"
--gen_fps 16
)`

Information / 问题信息

  • The official example scripts / 官方的示例脚本
  • My own modified scripts / 我自己修改的脚本和任务

Reproduction / 复现过程

Image

Expected behavior / 期待表现

如果使用zero训练能解决这个问题吗

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