remove sf for now
This commit is contained in:
@@ -1,163 +0,0 @@
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#!/bin/bash
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#SBATCH --job-name=mg-test
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#SBATCH --partition=main
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#SBATCH --nodes=4
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#SBATCH --ntasks=4
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#SBATCH --ntasks-per-node=1
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#SBATCH --gres=gpu:8
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#SBATCH --cpus-per-task=128
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#SBATCH --mem=1440G
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#SBATCH --output=sf_train_output/sf_%j.out
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#SBATCH --error=sf_train_output/sf_%j.err
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#SBATCH --exclusive
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set -e -x
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# Environment Setup
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source ~/conda/miniconda/bin/activate
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conda activate /mnt/weka/home/hao.zhang/conda/miniconda/envs/alexfv
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export PYTHONPATH="/mnt/weka/home/hao.zhang/kaiqin/FastVideo_clean:$PYTHONPATH"
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# Basic Info
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export WANDB_API_KEY="7ff8b6e8356924f7a6dd51a0342dd1a422ea9352"
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export WANDB_MODE="online"
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export NCCL_P2P_DISABLE=1
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export MASTER_PORT=29500
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export NODE_RANK=$SLURM_PROCID
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nodes=( $(scontrol show hostnames $SLURM_JOB_NODELIST) )
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export MASTER_ADDR=${nodes[0]}
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export TOKENIZERS_PARALLELISM=false
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echo "MASTER_ADDR: $MASTER_ADDR"
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echo "NODE_RANK: $NODE_RANK"
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RUN_NAME=$(date +"%m%d_%H%M")
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echo "RUN_NAME: $RUN_NAME"
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# Model paths for Self-Forcing DMD distillation:
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GENERATOR_MODEL_PATH="../mg_models/Solaris-Causal-30K-8K-18K"
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REAL_SCORE_MODEL_PATH="../mg_models/Solaris-30K-8K-18K" # Teacher mode
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FAKE_SCORE_MODEL_PATH="../mg_models/Solaris-30K-8K-18K" # Critic model
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# GENERATOR_MODEL_PATH="../mg_models/Solaris-6Ksteps-Causal-0228"
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# REAL_SCORE_MODEL_PATH="../mg_models/Solaris-10Ksteps-0301" # Teacher mode
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# FAKE_SCORE_MODEL_PATH="../mg_models/Solaris-10Ksteps-0301" # Critic model
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DATA_DIR="../solaris/datasets/train/preprocessed_0228_81"
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VALIDATION_DATASET_FILE="examples/distill/MatrixGame2.0/validation.json"
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# Training arguments
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training_args=(
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--tracker_project_name "matrixgame_sf"
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--output_dir "checkpoints/matrixgame_sf_${RUN_NAME}"
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--wandb_run_name "${RUN_NAME}_test"
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--max_train_steps 1200
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--train_batch_size 1
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--train_sp_batch_size 1
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--gradient_accumulation_steps 1
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--num_latent_t 21
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--num_height 352
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--num_width 640
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# --enable_gradient_checkpointing_type "full"
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--log_visualization
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--simulate_generator_forward
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--num_frames 81
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--num_frame_per_block 3 # Frame generation block size for self-forcing
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# --enable_gradient_masking
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# --gradient_mask_last_n_frames 21
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--use-diagonal-denoising
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)
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# Parallel arguments
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parallel_args=(
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--num_gpus 32
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--sp_size 1
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--tp_size 1
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--hsdp_replicate_dim 1
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--hsdp_shard_dim 32
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)
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model_args=(
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--model_path $GENERATOR_MODEL_PATH # TODO: check if you can remove this in this script
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--pretrained_model_name_or_path $GENERATOR_MODEL_PATH
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--real_score_model_path $REAL_SCORE_MODEL_PATH
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--fake_score_model_path $FAKE_SCORE_MODEL_PATH
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)
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dataset_args=(
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--data_path "$DATA_DIR"
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--dataloader_num_workers 4
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)
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# Validation arguments
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validation_args=(
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--log_validation
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--log_visualization
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--visualization-steps 200
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--validation_dataset_file "$VALIDATION_DATASET_FILE"
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--validation_steps 200
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--validation_sampling_steps "4"
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--validation_guidance_scale "6.0"
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)
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# Optimizer arguments
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optimizer_args=(
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--learning_rate 3e-6
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--mixed_precision "bf16"
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--weight_only_checkpointing_steps 400
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--training_state_checkpointing_steps 400
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--weight_decay 0
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--betas "0.9,0.95"
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--max_grad_norm 1.0
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)
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# Miscellaneous arguments
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miscellaneous_args=(
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--inference_mode False
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--checkpoints_total_limit 3
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--training_cfg_rate 0.0
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--dit_precision "fp32"
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--flow_shift 5
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--seed 1000
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--use_ema True
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--ema_decay 0.99
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--ema_start_step 200
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)
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dmd_args=(
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--dmd_denoising_steps '1000,100'
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--diagonal-warmup-mid-steps '750,500'
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--min_timestep_ratio 0.02
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--max_timestep_ratio 0.98
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--dfake_gen_update_ratio 5
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--real_score_guidance_scale 3.0
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--fake_score_learning_rate 3e-7
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--fake_score_betas "0.9,0.95"
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--warp_denoising_step
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)
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self_forcing_args=(
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--independent_first_frame False # Whether to treat first frame independently
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--same_step_across_blocks True # Whether to use same denoising step across all blocks
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--last_step_only False # Whether to only use the last denoising step
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--context_noise 0 # Amount of noise to add during context caching (0 = no noise)
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)
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mkdir -p sf_train_output
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srun torchrun \
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--nnodes $SLURM_JOB_NUM_NODES \
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--nproc_per_node 8 \
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--node_rank $SLURM_PROCID \
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--rdzv_backend=c10d \
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--rdzv_endpoint="$MASTER_ADDR:$MASTER_PORT" \
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fastvideo/training/matrixgame_self_forcing_distillation_pipeline.py \
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"${parallel_args[@]}" \
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"${model_args[@]}" \
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"${dataset_args[@]}" \
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"${training_args[@]}" \
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"${optimizer_args[@]}" \
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"${validation_args[@]}" \
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"${miscellaneous_args[@]}" \
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"${dmd_args[@]}" \
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"${self_forcing_args[@]}"
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@@ -1,324 +0,0 @@
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{
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"data": [
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{
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"caption": "000009_Bravo_instance_000",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000009_Bravo_instance_000.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000009_Bravo_instance_000_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000009_Bravo_instance_000_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000009_Bravo_instance_001",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000009_Bravo_instance_001.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000009_Bravo_instance_001_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000009_Bravo_instance_001_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000010_Alpha_instance_000",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Alpha_instance_000.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Alpha_instance_000_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Alpha_instance_000_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000010_Alpha_instance_001",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Alpha_instance_001.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Alpha_instance_001_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Alpha_instance_001_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000010_Bravo_instance_000",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Bravo_instance_000.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Bravo_instance_000_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Bravo_instance_000_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000010_Bravo_instance_001",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Bravo_instance_001.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Bravo_instance_001_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000010_Bravo_instance_001_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000011_Alpha_instance_000",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Alpha_instance_000.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Alpha_instance_000_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Alpha_instance_000_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
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{
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"caption": "000011_Alpha_instance_001",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Alpha_instance_001.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Alpha_instance_001_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Alpha_instance_001_camera.npy",
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"num_inference_steps": 4,
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"height": 352,
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"width": 640,
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"num_frames": 81
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},
|
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{
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||||
"caption": "000011_Bravo_instance_000",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Bravo_instance_000.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Bravo_instance_000_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Bravo_instance_000_camera.npy",
|
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"num_inference_steps": 4,
|
||||
"height": 352,
|
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"width": 640,
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"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000011_Bravo_instance_001",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Bravo_instance_001.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Bravo_instance_001_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000011_Bravo_instance_001_camera.npy",
|
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"num_inference_steps": 4,
|
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"height": 352,
|
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"width": 640,
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"num_frames": 81
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},
|
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{
|
||||
"caption": "000012_Alpha_instance_000",
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Alpha_instance_000.png",
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Alpha_instance_000_camera.mp4",
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Alpha_instance_000_camera.npy",
|
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"num_inference_steps": 4,
|
||||
"height": 352,
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"width": 640,
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"num_frames": 81
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},
|
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{
|
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"caption": "000012_Alpha_instance_001",
|
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"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Alpha_instance_001.png",
|
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"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Alpha_instance_001_camera.mp4",
|
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"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Alpha_instance_001_camera.npy",
|
||||
"num_inference_steps": 4,
|
||||
"height": 352,
|
||||
"width": 640,
|
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"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000012_Bravo_instance_000",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Bravo_instance_000.png",
|
||||
"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Bravo_instance_000_camera.mp4",
|
||||
"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/translationEval/test/000012_Bravo_instance_000_camera.npy",
|
||||
"num_inference_steps": 4,
|
||||
"height": 352,
|
||||
"width": 640,
|
||||
"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000008_Bravo_instance_000",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000008_Bravo_instance_000.png",
|
||||
"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000008_Bravo_instance_000_camera.mp4",
|
||||
"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000008_Bravo_instance_000_camera.npy",
|
||||
"num_inference_steps": 4,
|
||||
"height": 352,
|
||||
"width": 640,
|
||||
"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000008_Bravo_instance_001",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000008_Bravo_instance_001.png",
|
||||
"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000008_Bravo_instance_001_camera.mp4",
|
||||
"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000008_Bravo_instance_001_camera.npy",
|
||||
"num_inference_steps": 4,
|
||||
"height": 352,
|
||||
"width": 640,
|
||||
"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000009_Alpha_instance_000",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Alpha_instance_000.png",
|
||||
"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Alpha_instance_000_camera.mp4",
|
||||
"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Alpha_instance_000_camera.npy",
|
||||
"num_inference_steps": 4,
|
||||
"height": 352,
|
||||
"width": 640,
|
||||
"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000009_Alpha_instance_001",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Alpha_instance_001.png",
|
||||
"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Alpha_instance_001_camera.mp4",
|
||||
"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Alpha_instance_001_camera.npy",
|
||||
"num_inference_steps": 4,
|
||||
"height": 352,
|
||||
"width": 640,
|
||||
"num_frames": 81
|
||||
},
|
||||
{
|
||||
"caption": "000009_Bravo_instance_000",
|
||||
"image_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Bravo_instance_000.png",
|
||||
"ref_video": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Bravo_instance_000_camera.mp4",
|
||||
"action_path": "/mnt/weka/home/hao.zhang/kaiqin/solaris/datasets/eval/oneLooksAwayEval/test/000009_Bravo_instance_000_camera.npy",
|
||||
"num_inference_steps": 4,
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]
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}
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File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user