Remove all npu code
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@@ -1,18 +0,0 @@
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CUDA_VISIBLE_DEVICES=7 python -m opensora.sample.sample_inpaint \
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--model_path /path/to/checkpoint-xxx/model \
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--num_frames 93 \
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--height 480 \
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--width 640 \
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--cache_dir "../cache_dir" \
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--text_encoder_name google/mt5-xxl \
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--text_prompt examples/prompt_list_0.txt \
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--conditional_images_path examples/conditional_images_path.txt \
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--ae CausalVAEModel_D4_4x8x8 \
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--ae_path "/path/to/causalvideovae" \
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--save_img_path "./sample_video_93x480p_cfg7.5_step100" \
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--fps 24 \
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--guidance_scale 7.5 \
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--num_sampling_steps 100 \
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--enable_tiling \
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--max_sequence_length 512 \
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--sample_method PDNM \
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@@ -1,21 +0,0 @@
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torchrun --nnodes=1 --nproc_per_node 8 --master_port 29503 \
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-m opensora.sample.sample_inpaint_ddp \
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--model_path /path/to/checkpoint-xxx/model \
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--num_frames 93 \
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--height 480 \
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--width 640 \
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--cache_dir "../cache_dir" \
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--text_encoder_name google/mt5-xxl \
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--text_prompt examples/prompt_list_0.txt \
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--conditional_images_path examples/conditional_images_path.txt \
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--ae CausalVAEModel_D4_4x8x8 \
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--ae_path "/path/to/causalvideovae" \
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--save_img_path "./sample_video_93x480p_cfg7.5_step100" \
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--fps 24 \
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--guidance_scale 7.5 \
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--num_sampling_steps 100 \
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--enable_tiling \
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--tile_overlap_factor 0.125 \
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--max_sequence_length 512 \
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--sample_method PNDM \
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@@ -1,21 +0,0 @@
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torchrun --nnodes=1 --nproc_per_node 8 --master_port 29503 \
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-m opensora.sample.sample_inpaint_sp \
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--model_path /path/to/checkpoint-xxx/model \
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--num_frames 93 \
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--height 480 \
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--width 640 \
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--cache_dir "../cache_dir" \
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--text_encoder_name google/mt5-xxl \
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--text_prompt examples/prompt_list_0.txt \
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--conditional_images_path examples/conditional_images_path.txt \
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--ae CausalVAEModel_D4_4x8x8 \
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--ae_path "/path/to/causalvideovae" \
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--save_img_path "./sample_video_93x480p_cfg7.5_step100" \
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--fps 24 \
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--guidance_scale 7.5 \
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--num_sampling_steps 100 \
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--enable_tiling \
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--tile_overlap_factor 0.125 \
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--max_sequence_length 512 \
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--sample_method PNDM \
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@@ -1,74 +0,0 @@
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PROJECT="your project name"
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export WANDB_API_KEY="your wanb key"
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export WANDB_MODE="online"
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export ENTITY="your name"
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export PROJECT=$PROJECT
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export HF_DATASETS_OFFLINE=1
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export TRANSFORMERS_OFFLINE=1
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export TOKENIZERS_PARALLELISM=false
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# NCCL setting
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export GLOO_SOCKET_IFNAME=bond0
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export NCCL_SOCKET_IFNAME=bond0
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export NCCL_IB_HCA=mlx5_10:1,mlx5_11:1,mlx5_12:1,mlx5_13:1
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export NCCL_IB_GID_INDEX=3
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export NCCL_IB_TC=162
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export NCCL_IB_TIMEOUT=22
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export NCCL_PXN_DISABLE=0
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export NCCL_IB_QPS_PER_CONNECTION=4
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export NCCL_ALGO=Ring
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export OMP_NUM_THREADS=1
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export MKL_NUM_THREADS=1
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# export NCCL_ALGO=Tree
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accelerate launch \
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--config_file scripts/accelerate_configs/deepspeed_zero2_config.yaml \
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opensora/train/train_inpaint.py \
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--model OpenSoraInpaint-ROPE-L/122 \
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--text_encoder_name google/mt5-xxl \
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--cache_dir "../cache_dir" \
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--dataset inpaint \
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--data "scripts/train_data/merge_data.txt" \
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--ae CausalVAEModel_D4_4x8x8 \
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--ae_path "/path/to/causalvideovae" \
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--sample_rate 1 \
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--num_frames 93 \
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--use_image_num 0 \
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--max_height 480 \
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--max_width 640 \
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--interpolation_scale_t 1.0 \
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--interpolation_scale_h 1.0 \
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--interpolation_scale_w 1.0 \
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--attention_mode xformers \
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--gradient_checkpointing \
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--train_batch_size=1 \
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--dataloader_num_workers 10 \
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--gradient_accumulation_steps=1 \
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--max_train_steps=1000000 \
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--learning_rate=1e-5 \
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--lr_scheduler="constant" \
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--lr_warmup_steps=0 \
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--mixed_precision="bf16" \
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--report_to="wandb" \
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--checkpointing_steps=200 \
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--allow_tf32 \
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--model_max_length 512 \
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--enable_tiling \
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--tile_overlap_factor 0.125 \
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--snr_gamma 5.0 \
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--use_ema \
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--ema_start_step 0 \
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--cfg 0.1 \
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--noise_offset 0.02 \
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--i2v_ratio 0.4 \
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--transition_ratio 0.4 \
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--v2v_ratio 0.1 \
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--clear_video_ratio 0.0 \
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--default_text_ratio 0.5 \
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--use_rope \
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--ema_decay 0.999 \
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--speed_factor 1.0 \
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--group_frame \
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--output_dir runs/$PROJECT \
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--pretrained_transformer_model_path "/path/to/pretrained_model" \
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# --resume_from_checkpoint="latest" \
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@@ -1 +0,0 @@
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/home/local_dataset_6t/video_data_obs/movie_aes_motion,/home/opensora/captions/movie_aes_motion/bbc01_clips_aes_motion_final_250508.json
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