HOSTNAME=ggpu3-13
RUN_NAME=pants_b16_9k_20260519_215532
OUTPUT_DIR=/scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532
TRAIN_BATCH_SIZE=16
MAX_TRAIN_STEPS=9000
CHECKPOINT_STEPS=4000
LEARNING_RATE=1e-6
Tue May 19 21:55:32 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.71.05              Driver Version: 595.71.05      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA H200                    Off |   00000000:19:00.0 Off |                    0 |
| N/A   34C    P0             78W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   1  NVIDIA H200                    Off |   00000000:3B:00.0 Off |                    0 |
| N/A   31C    P0             78W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   2  NVIDIA H200                    Off |   00000000:4C:00.0 Off |                    0 |
| N/A   30C    P0             77W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   3  NVIDIA H200                    Off |   00000000:5D:00.0 Off |                    0 |
| N/A   32C    P0             78W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   4  NVIDIA H200                    Off |   00000000:9B:00.0 Off |                    0 |
| N/A   61C    P0             88W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   5  NVIDIA H200                    Off |   00000000:BB:00.0 Off |                    0 |
| N/A   30C    P0             75W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   6  NVIDIA H200                    Off |   00000000:CB:00.0 Off |                    0 |
| N/A   33C    P0             78W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+
|   7  NVIDIA H200                    Off |   00000000:DB:00.0 Off |                    0 |
| N/A   30C    P0             77W /  700W |       0MiB / 143771MiB |      0%      Default |
|                                         |                        |             Disabled |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
W0519 21:55:35.087000 107828 /mnt/scratch/user/yuhwang/envs/twoframe/lib/python3.11/site-packages/torch/distributed/run.py:851] 
W0519 21:55:35.087000 107828 /mnt/scratch/user/yuhwang/envs/twoframe/lib/python3.11/site-packages/torch/distributed/run.py:851] *****************************************
W0519 21:55:35.087000 107828 /mnt/scratch/user/yuhwang/envs/twoframe/lib/python3.11/site-packages/torch/distributed/run.py:851] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W0519 21:55:35.087000 107828 /mnt/scratch/user/yuhwang/envs/twoframe/lib/python3.11/site-packages/torch/distributed/run.py:851] *****************************************
WARNING 05-19 21:55:49.578 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
WARNING 05-19 21:55:49.605 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
INFO 05-19 21:55:49.623 [__init__.py:47] CUDA is available
WARNING 05-19 21:55:49.623 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
WARNING 05-19 21:55:49.634 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
WARNING 05-19 21:55:49.638 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
WARNING 05-19 21:55:49.638 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
WARNING 05-19 21:55:49.639 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
WARNING 05-19 21:55:49.743 [logger.py:124]  By default, logger.info(..) will only log from the local main process. Set logger.info(..., is_local_main_process=False) to log from all processes.
INFO 05-19 21:55:52.946 [wan_training_pipeline.py:57] Starting training pipeline...
INFO 05-19 21:55:52.946 [fastvideo_args.py:979] {'data_path': '/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin', 'dataloader_num_workers': 2, 'num_height': 320, 'num_width': 288, 'num_frames': 153, 'train_batch_size': 16, 'num_latent_t': 39, 'pretrained_model_name_or_path': '/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged', 'ema_decay': 0.999, 'ema_start_step': 1, 'training_cfg_rate': 0.05, 'tracker_project_name': 'pants_wan22_fullrep', 'wandb_run_name': 'pants_b16_9k_20260519_215532', 'output_dir': '/scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532', 'checkpoints_total_limit': 2, 'training_state_checkpointing_steps': 4000, 'max_train_steps': 9000, 'gradient_accumulation_steps': 1, 'learning_rate': 1e-06, 'lr_scheduler': 'constant', 'lr_warmup_steps': 0, 'max_grad_norm': 1.0, 'enable_gradient_checkpointing_type': 'full', 'mixed_precision': 'bf16', 'train_sp_batch_size': 1, 'num_euler_timesteps': 50, 'weight_decay': 0.01, 'use_ema': True, 'model_path': '/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged', 'inference_mode': False, 'num_gpus': 8, 'tp_size': 1, 'sp_size': 1, 'hsdp_replicate_dim': 8, 'hsdp_shard_dim': 1, 'dit_precision': 'fp32'}
INFO 05-19 21:55:52.952 [utils.py:657] Diffusers version: 0.35.0.dev0
WARNING 05-19 21:55:52.957 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
WARNING 05-19 21:55:52.957 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
WARNING 05-19 21:55:52.957 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
WARNING 05-19 21:55:52.957 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
WARNING 05-19 21:55:52.957 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
WARNING 05-19 21:55:52.957 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
WARNING 05-19 21:55:52.958 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] fastvideo_args in from_pretrained: TrainingArgs(model_path='/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged', mode=<ExecutionMode.INFERENCE: 'inference'>, workload_type=<WorkloadType.T2V: 't2v'>, distributed_executor_backend='mp', ray_placement_group=None, ray_runtime_env=None, inference_mode=True, trust_remote_code=False, revision=None, num_gpus=8, tp_size=1, sp_size=1, hsdp_replicate_dim=8, hsdp_shard_dim=1, dist_timeout=None, pipeline_config=WanT2V480PConfig(model_path='/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged', pipeline_config_path=None, embedded_cfg_scale=6.0, flow_shift=3.0, flow_shift_sr=None, disable_autocast=False, is_causal=False, dit_config=WanVideoConfig(arch_config=WanVideoArchConfig(stacked_params_mapping=[], _fsdp_shard_conditions=[<function is_blocks at 0x7ff88845da80>], _compile_conditions=[<function is_blocks at 0x7ff88845da80>], param_names_mapping={'^patch_embedding\\.(.*)$': 'patch_embedding.proj.\\1', '^condition_embedder\\.text_embedder\\.linear_1\\.(.*)$': 'condition_embedder.text_embedder.fc_in.\\1', '^condition_embedder\\.text_embedder\\.linear_2\\.(.*)$': 'condition_embedder.text_embedder.fc_out.\\1', '^condition_embedder\\.time_embedder\\.linear_1\\.(.*)$': 'condition_embedder.time_embedder.mlp.fc_in.\\1', '^condition_embedder\\.time_embedder\\.linear_2\\.(.*)$': 'condition_embedder.time_embedder.mlp.fc_out.\\1', '^condition_embedder\\.time_proj\\.(.*)$': 'condition_embedder.time_modulation.linear.\\1', '^condition_embedder\\.image_embedder\\.ff\\.net\\.0\\.proj\\.(.*)$': 'condition_embedder.image_embedder.ff.fc_in.\\1', '^condition_embedder\\.image_embedder\\.ff\\.net\\.2\\.(.*)$': 'condition_embedder.image_embedder.ff.fc_out.\\1', '^blocks\\.(\\d+)\\.attn1\\.to_q\\.(.*)$': 'blocks.\\1.to_q.\\2', '^blocks\\.(\\d+)\\.attn1\\.to_k\\.(.*)$': 'blocks.\\1.to_k.\\2', '^blocks\\.(\\d+)\\.attn1\\.to_v\\.(.*)$': 'blocks.\\1.to_v.\\2', '^blocks\\.(\\d+)\\.attn1\\.to_out\\.0\\.(.*)$': 'blocks.\\1.to_out.\\2', '^blocks\\.(\\d+)\\.attn1\\.norm_q\\.(.*)$': 'blocks.\\1.norm_q.\\2', '^blocks\\.(\\d+)\\.attn1\\.norm_k\\.(.*)$': 'blocks.\\1.norm_k.\\2', '^blocks\\.(\\d+)\\.attn2\\.to_out\\.0\\.(.*)$': 'blocks.\\1.attn2.to_out.\\2', '^blocks\\.(\\d+)\\.ffn\\.net\\.0\\.proj\\.(.*)$': 'blocks.\\1.ffn.fc_in.\\2', '^blocks\\.(\\d+)\\.ffn\\.net\\.2\\.(.*)$': 'blocks.\\1.ffn.fc_out.\\2', '^blocks\\.(\\d+)\\.norm2\\.(.*)$': 'blocks.\\1.self_attn_residual_norm.norm.\\2'}, reverse_param_names_mapping={}, lora_param_names_mapping={'^blocks\\.(\\d+)\\.self_attn\\.q\\.(.*)$': 'blocks.\\1.attn1.to_q.\\2', '^blocks\\.(\\d+)\\.self_attn\\.k\\.(.*)$': 'blocks.\\1.attn1.to_k.\\2', '^blocks\\.(\\d+)\\.self_attn\\.v\\.(.*)$': 'blocks.\\1.attn1.to_v.\\2', '^blocks\\.(\\d+)\\.self_attn\\.o\\.(.*)$': 'blocks.\\1.attn1.to_out.0.\\2', '^blocks\\.(\\d+)\\.cross_attn\\.q\\.(.*)$': 'blocks.\\1.attn2.to_q.\\2', '^blocks\\.(\\d+)\\.cross_attn\\.k\\.(.*)$': 'blocks.\\1.attn2.to_k.\\2', '^blocks\\.(\\d+)\\.cross_attn\\.v\\.(.*)$': 'blocks.\\1.attn2.to_v.\\2', '^blocks\\.(\\d+)\\.cross_attn\\.o\\.(.*)$': 'blocks.\\1.attn2.to_out.0.\\2', '^blocks\\.(\\d+)\\.ffn\\.0\\.(.*)$': 'blocks.\\1.ffn.fc_in.\\2', '^blocks\\.(\\d+)\\.ffn\\.2\\.(.*)$': 'blocks.\\1.ffn.fc_out.\\2'}, _supported_attention_backends=(<AttentionBackendEnum.SAGE_ATTN: 3>, <AttentionBackendEnum.FLASH_ATTN: 1>, <AttentionBackendEnum.TORCH_SDPA: 2>, <AttentionBackendEnum.VIDEO_SPARSE_ATTN: 5>, <AttentionBackendEnum.VMOBA_ATTN: 7>, <AttentionBackendEnum.SAGE_ATTN_THREE: 4>, <AttentionBackendEnum.SLA_ATTN: 8>, <AttentionBackendEnum.SAGE_SLA_ATTN: 9>), hidden_size=5120, num_attention_heads=40, num_channels_latents=16, in_channels=16, out_channels=16, exclude_lora_layers=['embedder'], boundary_ratio=None, patch_size=(1, 2, 2), attention_head_dim=128, text_dim=4096, freq_dim=256, ffn_dim=13824, num_layers=40, cross_attn_norm=True, qk_norm='rms_norm_across_heads', eps=1e-06, image_dim=None, added_kv_proj_dim=None, rope_max_seq_len=1024, pos_embed_seq_len=None, local_attn_size=-1, sink_size=0, num_frames_per_block=3, sliding_window_num_frames=21), prefix='Wan', quant_config=None), dit_precision='fp32', upsampler_config=UpsamplerConfig(arch_config=ArchConfig(stacked_params_mapping=[])), upsampler_precision='fp32', vae_config=WanVAEConfig(arch_config=WanVAEArchConfig(stacked_params_mapping=[], scaling_factor=tensor([[[[[0.3548]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.6877]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.4296]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.3765]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.8199]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.5647]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.3838]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.4821]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.3059]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.4646]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.3490]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.6419]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.6104]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.8887]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.3540]]],
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288] 
INFO 05-19 21:55:52.958 [composed_pipeline_base.py:288]          [[[0.5219]]]]]), temporal_compression_ratio=4, spatial_compression_ratio=8, base_dim=96, decoder_base_dim=None, z_dim=16, dim_mult=(1, 2, 4, 4), num_res_blocks=2, attn_scales=(), temperal_downsample=(False, True, True), dropout=0.0, latents_mean=(-0.7571, -0.7089, -0.9113, 0.1075, -0.1745, 0.9653, -0.1517, 1.5508, 0.4134, -0.0715, 0.5517, -0.3632, -0.1922, -0.9497, 0.2503, -0.2921), latents_std=(2.8184, 1.4541, 2.3275, 2.6558, 1.2196, 1.7708, 2.6052, 2.0743, 3.2687, 2.1526, 2.8652, 1.5579, 1.6382, 1.1253, 2.8251, 1.916), is_residual=False, in_channels=3, out_channels=3, patch_size=None, scale_factor_temporal=4, scale_factor_spatial=8, clip_output=True), load_encoder=False, load_decoder=True, tile_sample_min_height=256, tile_sample_min_width=256, tile_sample_min_num_frames=16, tile_sample_stride_height=192, tile_sample_stride_width=192, tile_sample_stride_num_frames=12, blend_num_frames=8, use_tiling=False, use_temporal_tiling=False, use_parallel_tiling=False, use_temporal_scaling_frames=True, use_feature_cache=True), vae_precision='fp32', vae_tiling=False, vae_sp=False, image_encoder_config=EncoderConfig(arch_config=EncoderArchConfig(stacked_params_mapping=[], architectures=[], _supported_attention_backends=(<AttentionBackendEnum.FLASH_ATTN: 1>, <AttentionBackendEnum.TORCH_SDPA: 2>), output_hidden_states=False, use_return_dict=True), prefix='', quant_config=None, lora_config=None), image_encoder_precision='fp32', text_encoder_configs=(T5Config(arch_config=T5ArchConfig(stacked_params_mapping=[('.qkv_proj', '.q', 'q'), ('.qkv_proj', '.k', 'k'), ('.qkv_proj', '.v', 'v')], architectures=[], _supported_attention_backends=(<AttentionBackendEnum.FLASH_ATTN: 1>, <AttentionBackendEnum.TORCH_SDPA: 2>), output_hidden_states=False, use_return_dict=True, vocab_size=32128, hidden_size=512, num_hidden_layers=0, num_attention_heads=0, pad_token_id=0, eos_token_id=1, text_len=512, hidden_state_skip_layer=0, decoder_start_token_id=0, output_past=True, scalable_attention=True, tie_word_embeddings=False, tokenizer_kwargs={'truncation': True, 'max_length': 512, 'add_special_tokens': True, 'return_attention_mask': True, 'return_tensors': 'pt'}, _fsdp_shard_conditions=[<function _is_transformer_layer at 0x7ff88848aca0>, <function _is_embeddings at 0x7ff88848ade0>, <function _is_final_layernorm at 0x7ff88848ae80>], d_model=512, d_kv=64, d_ff=2048, num_layers=6, num_decoder_layers=None, num_heads=8, relative_attention_num_buckets=32, relative_attention_max_distance=128, dropout_rate=0.1, layer_norm_epsilon=1e-06, initializer_factor=1.0, feed_forward_proj='relu', dense_act_fn='relu', is_gated_act=False, is_encoder_decoder=True, use_cache=True, classifier_dropout=0.0, dtype=None, gradient_checkpointing=False, n_positions=512, task_specific_params=None), prefix='t5', quant_config=None, lora_config=None, is_chat_model=False, treat_empty_as_dot=False),), text_encoder_precisions=('fp32',), preprocess_text_funcs=(<function preprocess_text at 0x7ffbaeac47c0>,), postprocess_text_funcs=(<function t5_postprocess_text at 0x7ff888536ca0>,), dmd_denoising_steps=None, ti2v_task=False, boundary_ratio=None, precision='bf16', warp_denoising_step=True), preprocess_config=None, lora_path=None, lora_nickname='default', lora_target_modules=None, output_type='pil', dit_cpu_offload=False, use_fsdp_inference=False, dit_layerwise_offload=False, text_encoder_cpu_offload=False, image_encoder_cpu_offload=False, vae_cpu_offload=False, pin_cpu_memory=False, enable_torch_compile=False, enable_torch_compile_text_encoder=False, enable_torch_compile_vae=False, enable_torch_compile_audio_vae=False, torch_compile_kwargs=None, torch_compile_kwargs_dit={}, torch_compile_kwargs_text_encoder={}, torch_compile_kwargs_vae={}, torch_compile_kwargs_audio_vae={}, disable_autocast=False, VSA_sparsity=0.0, moba_config_path=None, moba_config={}, master_port=None, enable_stage_verification=True, prompt_txt=None, ltx2_vae_tiling=None, ltx2_vae_spatial_tile_size_in_pixels=None, ltx2_vae_spatial_tile_overlap_in_pixels=None, ltx2_vae_temporal_tile_size_in_frames=None, ltx2_vae_temporal_tile_overlap_in_frames=None, ltx2_initial_latent_path=None, ltx2_audio_latent_path=None, refine_enabled=None, refine_upsampler_path=None, refine_transformer_path=None, refine_lora_path=None, refine_num_inference_steps=None, refine_guidance_scale=None, refine_add_noise=None, refine_noise_path=None, refine_audio_noise_path=None, ltx2_refine_enabled=False, ltx2_refine_upsampler_path=None, ltx2_refine_transformer_path=None, ltx2_refine_lora_path=None, ltx2_refine_num_inference_steps=3, ltx2_refine_guidance_scale=1.0, ltx2_refine_add_noise=True, ltx2_refine_noise_path=None, ltx2_refine_audio_noise_path=None, ltx2_legacy_native_noise_order=False, ltx2_use_distilled_sigmas=True, model_paths={}, model_loaded={'transformer': True, 'vae': True, 'upsampler': True}, override_text_encoder_safetensors=None, override_text_encoder_quant=None, transformer_quant=None, override_transformer_cls_name=None, init_weights_from_safetensors=None, init_weights_from_safetensors_2=None, override_pipeline_cls_name=None, boundary_ratio=0.875, data_path='/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin', dataloader_num_workers=2, num_height=320, num_width=288, num_frames=153, train_batch_size=16, num_latent_t=39, group_frame=False, group_resolution=False, pretrained_model_name_or_path='/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged', real_score_model_path=None, fake_score_model_path=None, ema_decay=0.999, ema_start_step=1, training_cfg_rate=0.05, precondition_outputs=False, validation_dataset_file=None, validation_preprocessed_path=None, validation_sampling_steps=None, validation_guidance_scale=None, validation_steps=None, log_validation=False, trackers=[], tracker_project_name='pants_wan22_fullrep', wandb_run_name='pants_b16_9k_20260519_215532', seed=42, output_dir='/scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532', checkpoints_total_limit=2, resume_from_checkpoint=None, num_train_epochs=None, max_train_steps=9000, gradient_accumulation_steps=1, learning_rate=1e-06, scale_lr=False, lr_scheduler='constant', lr_warmup_steps=0, max_grad_norm=1.0, enable_gradient_checkpointing_type='full', selective_checkpointing=None, mixed_precision='bf16', train_sp_batch_size=1, fsdp_sharding_startegy='', weighting_scheme='uniform', logit_mean=0.0, logit_std=1.0, mode_scale=1.29, num_euler_timesteps=50, lr_num_cycles=None, lr_power=None, min_lr_ratio=0.5, not_apply_cfg_solver=False, distill_cfg=None, scheduler_type=None, linear_quadratic_threshold=None, linear_range=None, weight_decay=0.01, betas='0.9,0.999', use_ema=True, multi_phased_distill_schedule=None, pred_decay_weight=None, pred_decay_type=None, hunyuan_teacher_disable_cfg=False, master_weight_type=None, VSA_decay_rate=0.01, VSA_decay_interval_steps=1, lora_rank=None, lora_alpha=None, lora_training=False, ltx2_first_frame_conditioning_p=0.1, generator_update_interval=5, dfake_gen_update_ratio=5, min_timestep_ratio=0.2, max_timestep_ratio=0.98, real_score_guidance_scale=3.5, fake_score_learning_rate=0.0, fake_score_lr_scheduler='constant', fake_score_betas='0.9,0.999', training_state_checkpointing_steps=4000, weight_only_checkpointing_steps=None, log_visualization=False, visualization_steps=None, simulate_generator_forward=False, warp_denoising_step=False, num_frame_per_block=3, independent_first_frame=False, enable_gradient_masking=False, gradient_mask_last_n_frames=21, same_step_across_blocks=False, last_step_only=False, context_noise=0)
WARNING 05-19 21:55:52.963 [fastvideo_args.py:754] Mode is 'ExecutionMode.INFERENCE' but inference_mode is False. Setting inference_mode to True.
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:3
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:6
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:4
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:5
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:2
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:1
INFO 05-19 21:55:52.964 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:0
INFO 05-19 21:55:52.964 [parallel_state.py:713] Using nccl backend for CUDA platform
INFO 05-19 21:55:52.967 [parallel_state.py:882] Initializing distributed environment with world_size=8, device=cuda:7
INFO 05-19 21:55:52.989 [utils.py:79] Found nccl from library libnccl.so.2
INFO 05-19 21:55:52.989 [pynccl.py:68] FastVideo is using nccl==2.28.9
INFO 05-19 21:55:56.782 [utils.py:79] Found nccl from library libnccl.so.2
INFO 05-19 21:55:56.782 [pynccl.py:68] FastVideo is using nccl==2.28.9
INFO 05-19 21:55:57.702 [profiler.py:188] Torch profiler disabled; returning no-op controller
INFO 05-19 21:55:57.703 [composed_pipeline_base.py:85] Loading pipeline modules...
INFO 05-19 21:55:57.703 [utils.py:520] Model already exists locally at /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged
INFO 05-19 21:55:57.703 [composed_pipeline_base.py:309] Model path: /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged
INFO 05-19 21:55:57.703 [utils.py:657] Diffusers version: 0.35.0.dev0
INFO 05-19 21:55:57.703 [composed_pipeline_base.py:367] Loading pipeline modules from config: {'_class_name': 'WanPipeline', '_diffusers_version': '0.35.0.dev0', 'boundary_ratio': None, 'expand_timesteps': True, 'scheduler': ['diffusers', 'UniPCMultistepScheduler'], 'text_encoder': ['transformers', 'UMT5EncoderModel'], 'tokenizer': ['transformers', 'T5TokenizerFast'], 'transformer': ['diffusers', 'WanTransformer3DModel'], 'transformer_2': [None, None], 'vae': ['diffusers', 'AutoencoderKLWan']}
INFO 05-19 21:55:57.703 [composed_pipeline_base.py:404] Loading required modules: ['scheduler', 'transformer', 'vae']
INFO 05-19 21:55:57.703 [component_loader.py:1206] Loading scheduler using diffusers from /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/scheduler
INFO 05-19 21:55:57.708 [composed_pipeline_base.py:449] Loaded module scheduler from /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/scheduler
INFO 05-19 21:55:57.708 [composed_pipeline_base.py:429] Skipping module text_encoder
INFO 05-19 21:55:57.708 [composed_pipeline_base.py:429] Skipping module tokenizer
INFO 05-19 21:55:57.708 [component_loader.py:1206] Loading transformer using diffusers from /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer
INFO 05-19 21:55:57.713 [component_loader.py:876] transformer cls_name: WanTransformer3DModel
INFO 05-19 21:55:57.715 [component_loader.py:924] Loading model from 5 safetensors files: ['/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer/diffusion_pytorch_model-00001-of-00005.safetensors', '/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer/diffusion_pytorch_model-00002-of-00005.safetensors', '/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer/diffusion_pytorch_model-00003-of-00005.safetensors', '/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer/diffusion_pytorch_model-00004-of-00005.safetensors', '/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer/diffusion_pytorch_model-00005-of-00005.safetensors']
INFO 05-19 21:55:57.715 [component_loader.py:935] Loading model from WanTransformer3DModel, default_dtype: torch.float32
INFO 05-19 21:55:57.715 [fsdp_load.py:127] Loading model with default_dtype: torch.float32
INFO 05-19 21:55:57.718 [cuda.py:117] Trying FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA
INFO 05-19 21:55:57.718 [cuda.py:118] Selected backend: AttentionBackendEnum.TORCH_SDPA
INFO 05-19 21:55:57.718 [cuda.py:200] Using Torch SDPA backend.
INFO 05-19 21:55:57.719 [cuda.py:117] Trying FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA
INFO 05-19 21:55:57.719 [cuda.py:118] Selected backend: AttentionBackendEnum.TORCH_SDPA
INFO 05-19 21:55:57.719 [cuda.py:200] Using Torch SDPA backend.

Loading safetensors checkpoint shards:   0% Completed | 0/5 [00:00<?, ?it/s]

Loading safetensors checkpoint shards: 100% Completed | 5/5 [00:00<00:00, 220.90it/s]

WARNING 05-19 21:56:03.870 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
WARNING 05-19 21:56:03.870 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
WARNING 05-19 21:56:04.052 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
WARNING 05-19 21:56:04.066 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
WARNING 05-19 21:56:04.162 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
INFO 05-19 21:56:04.165 [component_loader.py:968] Loaded model with 5.00B parameters
INFO 05-19 21:56:04.167 [composed_pipeline_base.py:449] Loaded module transformer from /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/transformer
WARNING 05-19 21:56:04.167 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
INFO 05-19 21:56:04.167 [component_loader.py:1206] Loading vae using diffusers from /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/vae
WARNING 05-19 21:56:04.172 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
WARNING 05-19 21:56:04.173 [composed_pipeline_base.py:423] Module transformer_2 in model_index.json has null value, removing from required_config_modules
INFO 05-19 21:56:07.112 [composed_pipeline_base.py:449] Loaded module vae from /scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged/vae
INFO 05-19 21:56:07.112 [lora_pipeline.py:135] trainable_transformer_modules: dict_keys(['transformer'])
INFO 05-19 21:56:07.112 [training_pipeline.py:99] Initializing training pipeline...
INFO 05-19 21:56:07.117 [composed_pipeline_base.py:93] Setting transformer to requires_grad=True
INFO 05-19 21:56:07.123 [training_pipeline.py:142] optimizer: AdamW (
INFO 05-19 21:56:07.123 [training_pipeline.py:142] Parameter Group 0
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     amsgrad: False
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     betas: (0.9, 0.999)
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     capturable: False
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     decoupled_weight_decay: True
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     differentiable: False
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     eps: 1e-08
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     foreach: None
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     fused: None
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     lr: 1e-06
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     maximize: False
INFO 05-19 21:56:07.123 [training_pipeline.py:142]     weight_decay: 0.01
INFO 05-19 21:56:07.123 [training_pipeline.py:142] )
INFO 05-19 21:56:07.890 [training_pipeline.py:572] rank: 5: start training
INFO 05-19 21:56:07.991 [training_pipeline.py:572] rank: 7: start training
INFO 05-19 21:56:08.072 [training_pipeline.py:572] rank: 4: start training
INFO 05-19 21:56:08.078 [training_pipeline.py:572] rank: 3: start training
INFO 05-19 21:56:08.290 [training_pipeline.py:572] rank: 6: start training
INFO 05-19 21:56:08.314 [pants_latent_dataset.py:168] Loaded PanTS latent caption dataset /mnt/scratch/user/yuhwang/dataset/pants-captions-ldm/cache/wan22_pants_v2_softwin/captions_embedded/source_train.jsonl with 53784 rows and buckets={'B-CA': 11365, 'B-CAP': 10980, 'B-abd': 475, 'B-abd-pelvis': 490, 'B-whole': 21690, 'P-pan': 8784}
INFO 05-19 21:56:08.317 [training_pipeline.py:204] train_dataloader length: 420
INFO 05-19 21:56:08.317 [training_pipeline.py:205] train_sp_batch_size: 1
INFO 05-19 21:56:08.318 [training_pipeline.py:206] gradient_accumulation_steps: 1
INFO 05-19 21:56:08.318 [training_pipeline.py:207] sp_size: 1
INFO 05-19 21:56:08.347 [training_pipeline.py:572] rank: 2: start training
INFO 05-19 21:56:08.397 [training_pipeline.py:572] rank: 1: start training
wandb: Tracking run with wandb version 0.26.1
wandb: W&B syncing is set to `offline` in this directory. Run `wandb online` or set WANDB_MODE=online to enable cloud syncing.
wandb: Run data is saved locally in /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/tracker/wandb/offline-run-20260519_215609-2dcsowl9
INFO 05-19 21:56:10.144 [trackers.py:183] Initialized Weights & Biases tracker
INFO 05-19 21:56:10.146 [training_pipeline.py:572] rank: 0: start training
INFO 05-19 21:56:10.155 [training_pipeline.py:576] Starting training with 5.0 B trainable parameters
INFO 05-19 21:56:10.155 [training_pipeline.py:588] Initialized random seeds with seed: 42
INFO 05-19 21:56:10.207 [training_pipeline.py:719] ***** Running training *****
INFO 05-19 21:56:10.207 [training_pipeline.py:720]   Num examples = 53784
INFO 05-19 21:56:10.208 [training_pipeline.py:721]   Dataloader size = 420
INFO 05-19 21:56:10.208 [training_pipeline.py:722]   Num Epochs = 22
INFO 05-19 21:56:10.208 [training_pipeline.py:723]   Resume training from step 0
INFO 05-19 21:56:10.208 [training_pipeline.py:724]   Instantaneous batch size per device = 16
INFO 05-19 21:56:10.208 [training_pipeline.py:725]   Total train batch size (w. data & sequence parallel, accumulation) = 8.0
INFO 05-19 21:56:10.208 [training_pipeline.py:726]   Gradient Accumulation steps = 1
INFO 05-19 21:56:10.208 [training_pipeline.py:727]   Total optimization steps = 9000
INFO 05-19 21:56:10.221 [training_pipeline.py:728]   Total training parameters per FSDP shard = 5.0 B
INFO 05-19 21:56:10.222 [training_pipeline.py:731]   Master weight dtype: torch.float32
INFO 05-19 21:56:10.222 [training_pipeline.py:734] GPU memory usage before train_one_step: 21195.06689453125 MB
INFO 05-19 21:56:10.222 [training_pipeline.py:735] VSA validation sparsity: 0.0

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INFO 05-20 15:24:40.357 [training_utils.py:155] rank: 0, saving consolidated checkpoint to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/checkpoint-4000/transformer/diffusion_pytorch_model.safetensors
INFO 05-20 15:25:13.518 [training_utils.py:161] rank: 0, consolidated checkpoint saved to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/checkpoint-4000/transformer/diffusion_pytorch_model.safetensors
INFO 05-20 15:25:13.526 [training_utils.py:171] --> checkpoint saved at step 4000 to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/checkpoint-4000/transformer/diffusion_pytorch_model.safetensors
INFO 05-20 15:26:04.480 [training_pipeline.py:515] Saved EMA transformer weights to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/ema_checkpoint-4000

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INFO 05-21 15:44:20.003 [training_utils.py:155] rank: 0, saving consolidated checkpoint to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/checkpoint-8000/transformer/diffusion_pytorch_model.safetensors
INFO 05-21 15:44:51.122 [training_utils.py:161] rank: 0, consolidated checkpoint saved to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/checkpoint-8000/transformer/diffusion_pytorch_model.safetensors
INFO 05-21 15:44:51.127 [training_utils.py:171] --> checkpoint saved at step 8000 to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/checkpoint-8000/transformer/diffusion_pytorch_model.safetensors
INFO 05-21 15:45:42.653 [training_pipeline.py:515] Saved EMA transformer weights to /scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532/ema_checkpoint-8000

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Steps:  89%|████████▉ | 8015/9000 [41:56:42<8:02:06, 29.37s/it, loss=0.2466, step_time=29.10s, grad_norm=0.106]
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