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25.2 kB
| /venv/main/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`. | |
| warnings.warn( | |
| /venv/main/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`. | |
| warnings.warn( | |
| [2026-09-30 06:12:54,353] [WARNING] [runner.py:232:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only. | |
| [2026-09-30 06:12:54,353] [INFO] [runner.py:630:main] cmd = /venv/main/bin/python -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=29500 --enable_each_rank_log=None --log_level=info train.py --deepspeed --config examples/anima_nextscene/gpu_20260930/smoke_b1.toml | |
| /venv/main/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`. | |
| warnings.warn( | |
| /venv/main/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`. | |
| warnings.warn( | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NCCL_P2P_DISABLE=1 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.28.3-1+cuda13.0 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NV_LIBNCCL_DEV_PACKAGE_VERSION=2.28.3-1 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NCCL_VERSION=2.28.3-1 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NV_LIBNCCL_PACKAGE=libnccl2=2.28.3-1+cuda13.0 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NV_LIBNCCL_PACKAGE_NAME=libnccl2 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:155:main] 0 NV_LIBNCCL_PACKAGE_VERSION=2.28.3-1 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:162:main] WORLD INFO DICT: {'localhost': [0]} | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:168:main] nnodes=1, num_local_procs=1, node_rank=0 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:179:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0]}) | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:180:main] dist_world_size=1 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:184:main] Setting CUDA_VISIBLE_DEVICES=0 | |
| [2026-09-30 06:12:57,437] [INFO] [launch.py:272:main] process 19657 spawned with command: ['/venv/main/bin/python', '-u', 'train.py', '--local_rank=0', '--deepspeed', '--config', 'examples/anima_nextscene/gpu_20260930/smoke_b1.toml'] | |
| /venv/main/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`. | |
| warnings.warn( | |
| /venv/main/lib/python3.12/site-packages/torch/jit/_script.py:1491: FutureWarning: `torch.jit.script` is deprecated. Please switch to `torch.compile` or `torch.export`. | |
| warnings.warn( | |
| [2026-09-30 06:13:01,417] [INFO] [comm.py:821:init_distributed] cdb=None | |
| [2026-09-30 06:13:01,417] [INFO] [comm.py:852:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl | |
| using video_clip_mode=single_beginning | |
| using framerate=16 | |
| Grouped metadata is not cached. Computing ungrouped metadata and then grouping. | |
| Intermediate metadata is not cached. Enumerating all files. | |
| 0%| | 0/32 [00:00<?, ?it/s] 100%|ββββββββββ| 32/32 [00:00<00:00, 118987.35it/s] | |
| Saving intermediate metadata dataset. | |
| Saving the dataset (0/1 shards): 0%| | 0/16 [00:00<?, ? examples/s] Saving the dataset (1/1 shards): 100%|ββββββββββ| 16/16 [00:00<00:00, 9918.54 examples/s] Saving the dataset (1/1 shards): 100%|ββββββββββ| 16/16 [00:00<00:00, 9447.96 examples/s] | |
| Loading intermediate metadata dataset. | |
| Caching ungrouped metadata. | |
| Map (num_proc=8): 0%| | 0/16 [00:00<?, ? examples/s] Map (num_proc=8): 100%|ββββββββββ| 16/16 [00:00<00:00, 88.55 examples/s] | |
| Grouping examples: 0%| | 0/16 [00:00<?, ?it/s] Grouping examples: 100%|ββββββββββ| 16/16 [00:00<00:00, 43919.41it/s] | |
| Saving the dataset (0/1 shards): 0%| | 0/16 [00:00<?, ? examples/s] Saving the dataset (1/1 shards): 100%|ββββββββββ| 16/16 [00:00<00:00, 10903.15 examples/s] Saving the dataset (1/1 shards): 100%|ββββββββββ| 16/16 [00:00<00:00, 10407.70 examples/s] | |
| Loading grouped metadata with grouping key (1.0, 1) | |
| caching latents: /workspace/ns_smoke/target | |
| caching latents: (1.0, 1) | |
| Adding size bucket: 0%| | 0/16 [00:00<?, ? examples/s] Adding size bucket: 100%|ββββββββββ| 16/16 [00:00<00:00, 7710.12 examples/s] | |
| caching latents: (1.0, 512, 512, 1) | |
| [CACHE] Initializing | |
| [CACHE] Storing new fingerprint: 729cf0b7f391da14 | |
| [CACHE] Existing cache length: 0 | |
| 0%| | 0/4 [00:00<?, ?it/s][CACHE] Creating new shard: shard_0 | |
| 25%|βββ | 1/4 [00:00<00:02, 1.36it/s] 50%|βββββ | 2/4 [00:00<00:00, 2.60it/s] 100%|ββββββββββ| 4/4 [00:01<00:00, 5.32it/s] 100%|ββββββββββ| 4/4 [00:01<00:00, 3.94it/s] | |
| Building iteration order | |
| Saving the dataset (0/1 shards): 0%| | 0/16 [00:00<?, ? examples/s] Saving the dataset (1/1 shards): 100%|ββββββββββ| 16/16 [00:00<00:00, 12593.14 examples/s] Saving the dataset (1/1 shards): 100%|ββββββββββ| 16/16 [00:00<00:00, 11831.61 examples/s] | |
| caching text embeddings: /workspace/ns_smoke/target | |
| caching text embeddings: (1.0, 1) | |
| Map: 0%| | 0/16 [00:00<?, ? examples/s] Map: 100%|ββββββββββ| 16/16 [00:00<00:00, 10446.59 examples/s] | |
| [CACHE] Initializing | |
| [CACHE] Storing new fingerprint: 85f0af65ef677478 | |
| [CACHE] Existing cache length: 0 | |
| 0%| | 0/4 [00:00<?, ?it/s][CACHE] Creating new shard: shard_0 | |
| 25%|βββ | 1/4 [00:00<00:02, 1.08it/s] 100%|ββββββββββ| 4/4 [00:01<00:00, 3.98it/s] | |
| [CACHE] Initializing | |
| [CACHE] Storing new fingerprint: b072e77f045c8ad1 | |
| [CACHE] Existing cache length: 0 | |
| 0%| | 0/1 [00:00<?, ?it/s][CACHE] Creating new shard: shard_0 | |
| 100%|ββββββββββ| 1/1 [00:00<00:00, 57.87it/s] | |
| Found grouped metadata cache. Directly loading it. | |
| Loading grouped metadata with grouping key [1.0, 1] | |
| caching latents: /workspace/ns_smoke/target | |
| caching latents: [1.0, 1] | |
| caching latents: (1.0, 512, 512, 1) | |
| [CACHE] Initializing | |
| [CACHE] Existing cache has fingerprint 729cf0b7f391da14 | |
| [CACHE] Existing cache length: 16 | |
| caching text embeddings: /workspace/ns_smoke/target | |
| caching text embeddings: [1.0, 1] | |
| Map: 0%| | 0/16 [00:00<?, ? examples/s] Map: 100%|ββββββββββ| 16/16 [00:00<00:00, 7067.81 examples/s] | |
| [CACHE] Initializing | |
| [CACHE] Existing cache has fingerprint 85f0af65ef677478 | |
| [CACHE] Existing cache length: 16 | |
| [CACHE] Initializing | |
| [CACHE] Existing cache has fingerprint b072e77f045c8ad1 | |
| [CACHE] Existing cache length: 1 | |
| [Anima NextScene] RoPE layout=disjoint_w ref_temporal_index=1 | |
| [Anima NextScene] LoRA targets: 280 linears (112 cross_attn; adaln/llm_adapter excluded) | |
| trainable params: 96,468,992 || all params: 2,187,537,920 || trainable%: 4.4099 | |
| SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None | |
| Using topology: {ProcessCoord(pipe=0, data=0): 0} | |
| [2026-09-30 06:13:05,584] [INFO] [module.py:398:_partition_layers] Partitioning pipeline stages with method parameters | |
| stage=0 layers=31 | |
| 0: InitialLayer | |
| 1: LLMAdapterLayer | |
| 2: TransformerLayer | |
| 3: TransformerLayer | |
| 4: TransformerLayer | |
| 5: TransformerLayer | |
| 6: TransformerLayer | |
| 7: TransformerLayer | |
| 8: TransformerLayer | |
| 9: TransformerLayer | |
| 10: TransformerLayer | |
| 11: TransformerLayer | |
| 12: TransformerLayer | |
| 13: TransformerLayer | |
| 14: TransformerLayer | |
| 15: TransformerLayer | |
| 16: TransformerLayer | |
| 17: TransformerLayer | |
| 18: TransformerLayer | |
| 19: TransformerLayer | |
| 20: TransformerLayer | |
| 21: TransformerLayer | |
| 22: TransformerLayer | |
| 23: TransformerLayer | |
| 24: TransformerLayer | |
| 25: TransformerLayer | |
| 26: TransformerLayer | |
| 27: TransformerLayer | |
| 28: TransformerLayer | |
| 29: TransformerLayer | |
| 30: FinalLayer | |
| loss: loss_fn | |
| [2026-09-30 06:13:05,947] [INFO] [logging.py:123:log_dist] [Rank 0] DeepSpeed info: version=0.18.4, git-hash=unknown, git-branch=unknown | |
| [2026-09-30 06:13:05,947] [INFO] [config.py:687:__init__] Config mesh_device None world_size = 1 | |
| [2026-09-30 06:13:05,965] [INFO] [engine.py:1415:_configure_distributed_model] ********** distributed groups summary ********** | |
| self.dp_world_size=1 | |
| self.mp_world_size=1 | |
| self.seq_dp_world_size=1 | |
| self.sequence_parallel_size=1 | |
| *********************************************** | |
| [2026-09-30 06:13:05,974] [INFO] [logging.py:123:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False | |
| [2026-09-30 06:13:05,978] [INFO] [logging.py:123:log_dist] [Rank 0] [TorchCheckpointEngine] Initialized with serialization = True | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:958:print] DeepSpeedEngine configuration: | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:962:print] activation_checkpointing_config { | |
| "partition_activations": false, | |
| "contiguous_memory_optimization": false, | |
| "cpu_checkpointing": false, | |
| "number_checkpoints": null, | |
| "synchronize_checkpoint_boundary": false, | |
| "profile": false | |
| } | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:962:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'intra_op_parallelism': 1, 'single_submit': False, 'overlap_events': True, 'use_gds': False} | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:962:print] amp_enabled .................. False | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:962:print] amp_params ................... False | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:962:print] autotuning_config ............ { | |
| "enabled": false, | |
| "start_step": null, | |
| "end_step": null, | |
| "metric_path": null, | |
| "arg_mappings": null, | |
| "metric": "throughput", | |
| "model_info": null, | |
| "results_dir": "autotuning_results", | |
| "exps_dir": "autotuning_exps", | |
| "overwrite": true, | |
| "fast": true, | |
| "start_profile_step": 3, | |
| "end_profile_step": 5, | |
| "tuner_type": "gridsearch", | |
| "tuner_early_stopping": 5, | |
| "tuner_num_trials": 50, | |
| "model_info_path": null, | |
| "mp_size": 1, | |
| "max_train_batch_size": null, | |
| "min_train_batch_size": 1, | |
| "max_train_micro_batch_size_per_gpu": 1.024000e+03, | |
| "min_train_micro_batch_size_per_gpu": 1, | |
| "num_tuning_micro_batch_sizes": 3 | |
| } | |
| [2026-09-30 06:13:05,978] [INFO] [config.py:962:print] bfloat16_config .............. enabled=False immediate_grad_update=False check_grad_overflow=False bf16_master_weights_and_grads=False bf16_optimizer_states=False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] checkpoint_config ............ {'tag_validation': 'WARN', 'checkpoint_serialization': True, 'writer': None} | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] checkpoint_parallel_write_pipeline False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] checkpoint_tag_validation_enabled True | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] checkpoint_tag_validation_fail False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7e09e56e1af0> | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] communication_data_type ...... None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] compile_config ............... deepcompile=False free_activation=False free_activation_threshold=10485760 offload_activation=False offload_opt_states=False double_buffer=True symmetric_memory=False debug_log=False offload_parameters=False sync_before_reduce=False sync_after_reduce=False sync_before_allgather=False sync_after_allgather=False keep_int_input_tensors=True keep_all_input_tensors=False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] curriculum_enabled_legacy .... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] curriculum_params_legacy ..... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] data_efficiency_config ....... {'enabled': False, 'seed': 1234, 'data_sampling': {'enabled': False, 'num_epochs': 1000, 'num_workers': 0, 'pin_memory': False, 'curriculum_learning': {'enabled': False}, 'dynamic_batching': {'enabled': False, 'lr_scaling_method': 'linear', 'min_batch_size': 1, 'max_batch_size': None, 'sequence_picking_order': 'dataloader', 'verbose': False}}, 'data_routing': {'enabled': False, 'random_ltd': {'enabled': False, 'layer_token_lr_schedule': {'enabled': False}}}} | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] data_efficiency_enabled ...... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] dataloader_drop_last ......... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] datastates_config ............ { | |
| "enabled": false, | |
| "config": null | |
| } | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] disable_allgather ............ False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] dump_state ................... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_enabled ........... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_gas_boundary_resolution 1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_layer_name ........ bert.encoder.layer | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_layer_num ......... 0 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_max_iter .......... 100 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_stability ......... 1e-06 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_tol ............... 0.01 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] eigenvalue_verbose ........... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] elasticity_enabled ........... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] float16_config ............... enabled=False auto_cast=False loss_scale=0.0 initial_scale_power=16 loss_scale_window=1000 hysteresis=2 consecutive_hysteresis=False min_loss_scale=1 fp16_master_weights_and_grads=False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] flops_profiler_config ........ { | |
| "enabled": false, | |
| "recompute_fwd_factor": 0.0, | |
| "profile_step": 1, | |
| "module_depth": -1, | |
| "top_modules": 1, | |
| "detailed": true, | |
| "output_file": null | |
| } | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] global_rank .................. 0 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] grad_accum_dtype ............. None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] gradient_accumulation_steps .. 1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] gradient_clipping ............ 1.0 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] gradient_predivide_factor .... 1.0 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] graph_harvesting ............. False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] hybrid_engine ................ enabled=False max_out_tokens=512 inference_tp_size=1 release_inference_cache=False pin_parameters=True tp_gather_partition_size=8 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] load_universal_checkpoint .... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] memory_breakdown ............. False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] mics_hierarchial_params_gather False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] mics_shard_size .............. -1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') comet=CometConfig(enabled=False, samples_log_interval=100, project=None, workspace=None, api_key=None, experiment_name=None, experiment_key=None, online=None, mode=None) wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] nebula_config ................ { | |
| "enabled": false, | |
| "persistent_storage_path": null, | |
| "persistent_time_interval": 100, | |
| "num_of_version_in_retention": 2, | |
| "enable_nebula_load": true, | |
| "load_path": null | |
| } | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] optimizer_legacy_fusion ...... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] optimizer_name ............... None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] optimizer_params ............. None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0, 'pipe_partitioned': True, 'grad_partitioned': True} | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] pld_enabled .................. False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] pld_params ................... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] prescale_gradients ........... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] scheduler_name ............... None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] scheduler_params ............. None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] seq_parallel_communication_data_type torch.float32 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] sparse_attention ............. None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] sparse_gradients_enabled ..... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] steps_per_print .............. 1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] tensor_parallel_config ....... dtype=torch.float16 autotp_size=0 tp_overlap_comm=False tensor_parallel=TPConfig(tp_size=1, tp_grain_size=1, mpu=None, tp_group=None) injection_policy_tuple=None keep_module_on_host=False replace_with_kernel_inject=False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] timers_config ................ enabled=True synchronized=True | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] torch_autocast_dtype ......... None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] torch_autocast_enabled ....... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] torch_autocast_lower_precision_safe_modules None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] train_batch_size ............. 1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] train_micro_batch_size_per_gpu 1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] use_data_before_expert_parallel_ False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] use_node_local_storage ....... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] wall_clock_breakdown ......... False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] weight_quantization_config ... None | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] world_size ................... 1 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] zero_allow_untested_optimizer False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 use_multi_rank_bucket_allreduce=True allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None zenflow=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False module_granularity_threshold=0 use_all_reduce_for_fetch_params=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False zero_hpz_partition_size=1 zero_quantized_weights=False zero_quantized_nontrainable_weights=False zero_quantized_gradients=False zeropp_loco_param=None mics_shard_size=-1 mics_hierarchical_params_gather=False memory_efficient_linear=True pipeline_loading_checkpoint=False override_module_apply=True log_trace_cache_warnings=False enable_sanity_checks=False leaf_module=DeepSpeedZeroLeafModuleConfig(classes=['transformers.models.mixtral.modeling_mixtral.MixtralSparseMoeBlock', 'transformers.models.qwen2_moe.modeling_qwen2_moe.Qwen2MoeSparseMoeBlock', 'transformers.models.qwen3_moe.modeling_qwen3_moe.Qwen3MoeSparseMoeBlock'], names=[], name_suffixes=[]) | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] zero_enabled ................. False | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] zero_force_ds_cpu_optimizer .. True | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:962:print] zero_optimization_stage ...... 0 | |
| [2026-09-30 06:13:05,979] [INFO] [config.py:948:print_user_config] json = { | |
| "train_micro_batch_size_per_gpu": 1, | |
| "gradient_accumulation_steps": 1, | |
| "gradient_clipping": 1.0, | |
| "steps_per_print": 1 | |
| } | |
| [2026-09-30 06:13:05,979] [INFO] [engine.py:104:__init__] CONFIG: micro_batches=1 micro_batch_size=1 | |
| [2026-09-30 06:13:05,979] [INFO] [engine.py:145:__init__] is_pipe_partitioned= False is_grad_partitioned= False | |
| [2026-09-30 06:13:05,982] [INFO] [engine.py:164:__init__] RANK=0 STAGE=0 LAYERS=31 [0, 31) STAGE_PARAMS=96468992 (96.469M) TOTAL_PARAMS=96468992 (96.469M) UNIQUE_PARAMS=96468992 (96.469M)Global batch size = 1Using base_lr=5e-05, self_attn_lr=5e-05, cross_attn_lr=5e-05, mlp_lr=5e-05, mod_lr=5e-05, llm_adapter_lr=5e-05Num base params: 0Num self_attn params: 224Num cross_attn params: 224Num mlp params: 112Num mod params: 0Num llm_adapter params: 72[2026-09-30 06:13:06,008] [INFO] [logging.py:123:log_dist] [Rank 0] Using client callable to create basic optimizer | |
| [2026-09-30 06:13:06,008] [INFO] [logging.py:123:log_dist] [Rank 0] Removing param_group that has no 'params' in the basic Optimizer | |
| [2026-09-30 06:13:06,089] [INFO] [logging.py:123:log_dist] [Rank 0] DeepSpeed Basic Optimizer = AdamW | |
| [2026-09-30 06:13:06,089] [INFO] [logging.py:123:log_dist] [Rank 0] DeepSpeed Final Optimizer = AdamW | |
| [rank0]: Traceback (most recent call last): | |
| [rank0]: File "/workspace/diffusion-pipe-easycontrol/train.py", line 1010, in <module> | |
| [rank0]: iterator = get_data_iterator_for_step(train_dataloader, model_engine) | |
| [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| [rank0]: File "/workspace/diffusion-pipe-easycontrol/train.py", line 172, in get_data_iterator_for_step | |
| [rank0]: items = [next(dataloader_iter) for _ in range(num_micro_batches)] | |
| [rank0]: ^^^^^^^^^^^^^^^^^^^^^ | |
| [rank0]: File "/workspace/diffusion-pipe-easycontrol/utils/dataset.py", line 1494, in __next__ | |
| [rank0]: self.next_micro_batch = next(self.data) | |
| [rank0]: ^^^^^^^^^^^^^^^ | |
| [rank0]: File "/workspace/diffusion-pipe-easycontrol/utils/dataset.py", line 1531, in _pull_batches_from_dataloader | |
| [rank0]: target, mask = label | |
| [rank0]: ^^^^^^^^^^^^ | |
| [rank0]: ValueError: too many values to unpack (expected 2) | |
| [2026-09-30 06:13:08,438] [INFO] [launch.py:335:sigkill_handler] Killing subprocess 19657 | |
| [2026-09-30 06:13:08,439] [ERROR] [launch.py:341:sigkill_handler] ['/venv/main/bin/python', '-u', 'train.py', '--local_rank=0', '--deepspeed', '--config', 'examples/anima_nextscene/gpu_20260930/smoke_b1.toml'] exits with return code = 1 | |