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debugging_optimized

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debugging_optimized
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[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 09:19:30,077] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 09:19:30,172] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2026-09-18 09:19:30,388] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 09:19:30,556] [INFO] [comm.py:658:init_distributed] cdb=None
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 09:19:30,636] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 09:19:30,715] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11985.34it/s]
[2026-09-18 09:19:30,950] [INFO] [comm.py:658:init_distributed] cdb=None
[2026-09-18 09:19:30,950] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
[2026-09-18 09:19:31,064] [INFO] [comm.py:658:init_distributed] cdb=None
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11050.39it/s]
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 12959.05it/s]

Loading weights:   0%|          | 0/723 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11058.45it/s]
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Qwen3_5Config {
  "architectures": [
    "Qwen3_5ForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "feature_fusion_method": "deepstack_language_add",
  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
    0,
    1,
    2
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  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
  "model_type": "qwen3_5",
  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
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      "linear_attention",
      "linear_attention",
      "linear_attention",
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      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
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    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
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    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
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        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Qwen3_5Config {
  "architectures": [
    "Qwen3_5ForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "feature_fusion_method": "deepstack_language_add",
  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
    0,
    1,
    2
  ],
  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
  "model_type": "qwen3_5",
  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
    "model_type": "qwen3_5_text",
    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
    "num_key_value_heads": 4,
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
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      "mrope_section": [
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        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Vision Module - Attention Blocks:
Trainable Block Indices: None
Non-Trainable Block Indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
Merger Module Trainable: True
LLM Module - Embed Tokens Trainable: True
LLM Module - Trainable Layer Indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31]
LLM Module - Non-Trainable Layer Indices: None
Qwen3_5Config {
  "architectures": [
    "Qwen3_5ForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "feature_fusion_method": "deepstack_language_add",
  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
    0,
    1,
    2
  ],
  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
  "model_type": "qwen3_5",
  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
    "model_type": "qwen3_5_text",
    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
    "num_key_value_heads": 4,
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
        11,
        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
Qwen3_5Config {
  "architectures": [
    "Qwen3_5ForConditionalGeneration"
  ],
  "dtype": "bfloat16",
  "feature_fusion_method": "deepstack_language_add",
  "fusion_num_layers": 1,
  "geometry_encoder_layers": [
    11,
    17,
    23
  ],
  "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
  "geometry_encoder_streaming": true,
  "geometry_encoder_type": "vggt",
  "geometry_frame_strict": true,
  "geometry_fusion_layers": [
    0,
    1,
    2
  ],
  "geometry_fusion_scale": 0.5,
  "geometry_importance_gate": true,
  "geometry_learnable_scale": true,
  "geometry_merger_type": "mlp",
  "geometry_spatial_bias": false,
  "image_token_id": 248056,
  "include_camera_token": false,
  "model_type": "qwen3_5",
  "pos_encoding_type": "none",
  "reference_frame": "first",
  "supervised_token_loss": true,
  "text_config": {
    "attention_bias": false,
    "attention_dropout": 0.0,
    "attn_output_gate": true,
    "bos_token_id": null,
    "dtype": "bfloat16",
    "eos_token_id": 248044,
    "full_attention_interval": 4,
    "head_dim": 256,
    "hidden_act": "silu",
    "hidden_size": 2560,
    "initializer_range": 0.02,
    "intermediate_size": 9216,
    "layer_types": [
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention",
      "linear_attention",
      "linear_attention",
      "linear_attention",
      "full_attention"
    ],
    "linear_conv_kernel_dim": 4,
    "linear_key_head_dim": 128,
    "linear_num_key_heads": 16,
    "linear_num_value_heads": 32,
    "linear_value_head_dim": 128,
    "mamba_ssm_dtype": "float32",
    "max_position_embeddings": 262144,
    "mlp_only_layers": [],
    "model_type": "qwen3_5_text",
    "mtp_num_hidden_layers": 1,
    "mtp_use_dedicated_embeddings": false,
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
    "num_key_value_heads": 4,
    "pad_token_id": null,
    "partial_rotary_factor": 0.25,
    "rms_norm_eps": 1e-06,
    "rope_parameters": {
      "mrope_interleaved": true,
      "mrope_section": [
        11,
        11,
        10
      ],
      "partial_rotary_factor": 0.25,
      "rope_theta": 10000000,
      "rope_type": "default"
    },
    "tie_word_embeddings": true,
    "use_cache": true,
    "vocab_size": 248320
  },
  "tie_word_embeddings": true,
  "transformers_version": "5.3.0",
  "use_cache": false,
  "use_geometry_encoder": true,
  "video_token_id": 248057,
  "vision_config": {
    "deepstack_visual_indexes": [],
    "depth": 24,
    "dtype": "bfloat16",
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 1024,
    "in_channels": 3,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "model_type": "qwen3_5",
    "num_heads": 16,
    "num_position_embeddings": 2304,
    "out_hidden_size": 2560,
    "patch_size": 16,
    "spatial_merge_size": 2,
    "temporal_patch_size": 2
  },
  "vision_end_token_id": 248054,
  "vision_language_fusion_layers": null,
  "vision_start_token_id": 248053
}

Loading datasets: [{'annotation_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN/train_r2r_rxr.json', 'data_path': '/mnt/data/vmo-ai-task/anhdh35/JanusVLN', 'tag': '3d', 'sampling_rate': 1.0, 'dataset_name': 'train_r2r_rxr'}]
Total training samples: 2429620
Total training samples: 2429620
Formatting inputs...Skip in lazy mode
Total training samples: 2429620
Formatting inputs...Skip in lazy mode
Total training samples: 2429620
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
Formatting inputs...Skip in lazy mode
Formatting inputs...Skip in lazy mode
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 248046, 'pad_token_id': 248044}.
NCCL version 2.26.2+cuda12.2
[TrainingRuntime] {"rank": "1", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "1", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 18.713, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}
[TrainingRuntime] {"rank": "2", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "2", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 18.713, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}
[TrainingRuntime] {"rank": "3", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "3", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 18.713, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}
[TrainingRuntime] {"rank": "0", "versions": {"torch": "2.7.0+cu128", "transformers": "5.3.0", "deepspeed": "0.16.4", "flash-attn": "2.8.3", "triton": "3.3.0", "flash-linear-attention": "0.5.1", "causal-conv1d": "1.6.2.post1"}, "cuda": "12.8", "world_size": 4, "gpu": "NVIDIA H100 80GB HBM3", "micro_batch": 8, "accumulation": 2, "effective_global_batch": 64, "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "CUDA_LAUNCH_BLOCKING": "0", "deepspeed": "scripts/zero2_h100.json"}
[TrainingMemory] {"rank": "0", "stage": "train_begin", "step": 0, "allocated_GiB": 14.601, "reserved_GiB": 19.906, "peak_allocated_GiB": 14.601, "peak_reserved_GiB": 19.906, "device_free_GiB": 57.864, "device_total_GiB": 79.189}

  0%|          | 0/30 [00:00<?, ?it/s][GeometryBatch] micro_batch=8, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (5, 3, 420, 560)], group_sizes=[7, 1]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)], group_sizes=[7, 1]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (6, 3, 420, 560)], group_sizes=[7, 1]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (2, 3, 420, 560)], group_sizes=[7, 1]
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:480: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py:337: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(dtype=dtype):
[GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[8]
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.219, "reserved_GiB": 64.049, "peak_allocated_GiB": 34.986, "peak_reserved_GiB": 64.049, "device_free_GiB": 8.878, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 62.291, "peak_allocated_GiB": 34.603, "peak_reserved_GiB": 62.291, "device_free_GiB": 10.635, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 63.191, "peak_allocated_GiB": 34.767, "peak_reserved_GiB": 63.191, "device_free_GiB": 9.737, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.144, "reserved_GiB": 62.646, "peak_allocated_GiB": 34.353, "peak_reserved_GiB": 62.646, "device_free_GiB": 10.28, "device_total_GiB": 79.189}

  3%|▎         | 1/30 [00:49<23:47, 49.24s/it][GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[8]
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.238, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.048, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.735, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.124, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.811, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}

[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.134, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.308, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.278, "device_total_GiB": 79.189}

  7%|▋         | 2/30 [01:02<12:58, 27.81s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.192, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.224, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.163, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.427, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.278, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.116, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}

 10%|█         | 3/30 [01:15<09:28, 21.06s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.248, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.213, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.21, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.703, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.735, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.857, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.162, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.838, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.125, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.203, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.278, "device_total_GiB": 79.189}

 13%|█▎        | 4/30 [01:36<09:09, 21.15s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.21, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.12, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.154, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.017, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.181, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.958, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.22, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.187, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.145, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.488, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.278, "device_total_GiB": 79.189}

 17%|█▋        | 5/30 [01:49<07:34, 18.17s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.238, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.107, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.172, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.91, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.229, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.155, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.135, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.265, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.278, "device_total_GiB": 79.189}

 20%|██        | 6/30 [02:02<06:33, 16.39s/it][GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[8]
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.191, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.0, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.144, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.151, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.941, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.278, "device_total_GiB": 79.189}

 23%|██▎       | 7/30 [02:15<05:50, 15.23s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.257, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.23, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[GeometryBatch] micro_batch=8, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[8]
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.144, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.51, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.276, "device_total_GiB": 79.189}

 27%|██▋       | 8/30 [02:36<06:19, 17.24s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.201, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.065, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.22, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.251, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.257, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.259, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.181, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.237, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.21, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.741, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.276, "device_total_GiB": 79.189}

 30%|███       | 9/30 [02:49<05:34, 15.92s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.188, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.634, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.507, "peak_reserved_GiB": 62.648, "device_free_GiB": 10.276, "device_total_GiB": 79.189}

 33%|███▎      | 10/30 [03:02<04:59, 14.99s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.142, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.876, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.911, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.733, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.142, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.911, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}

[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.507, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

                                               
{'loss': '0.971', 'grad_norm': '7.077', 'learning_rate': '1.647e-05', 'epoch': '0.0002634'}

 33%|███▎      | 10/30 [03:02<04:59, 14.99s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.125, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.782, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.144, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.806, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.173, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.53, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 37%|███▋      | 11/30 [03:16<04:36, 14.54s/it][TrainingProfile] step=11 wall_s=13.118 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.144, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.869, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.144, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.858, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.191, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.25, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.173, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.419, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 40%|████      | 12/30 [03:29<04:13, 14.09s/it][TrainingProfile] step=12 wall_s=13.041 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.229, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.033, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.191, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 43%|████▎     | 13/30 [03:42<03:53, 13.76s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.933, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.257, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.176, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingProfile] step=13 wall_s=12.997 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.28, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.241, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.345, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.168, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.229, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.749, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 47%|████▋     | 14/30 [03:54<03:36, 13.50s/it][TrainingProfile] step=14 wall_s=12.914 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.2, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.321, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.125, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.298, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.135, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.727, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}

 50%|█████     | 15/30 [04:07<03:18, 13.25s/it][TrainingProfile] step=15 wall_s=12.672 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.125, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.605, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.125, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.86, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.154, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.63, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 53%|█████▎    | 16/30 [04:20<03:04, 13.19s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.987, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingProfile] step=16 wall_s=13.060 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.21, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.979, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.135, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.851, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.21, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.589, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 57%|█████▋    | 17/30 [04:33<02:51, 13.19s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.172, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.124, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingProfile] step=17 wall_s=13.184 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.182, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.875, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.229, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.131, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.136, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.798, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.154, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.349, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 60%|██████    | 18/30 [04:46<02:37, 13.12s/it][TrainingProfile] step=18 wall_s=12.939 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.182, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.066, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.163, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.582, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 63%|██████▎   | 19/30 [04:59<02:22, 13.00s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.135, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.712, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingProfile] step=19 wall_s=12.720 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.682, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.626, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.611, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.082, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

 67%|██████▋   | 20/30 [05:12<02:10, 13.00s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.163, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingProfile] step=20 wall_s=13.016 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.611, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.163, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.082, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

                                               
{'loss': '0.2921', 'grad_norm': '4.693', 'learning_rate': '6.299e-06', 'epoch': '0.0005268'}

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[TrainingProfile] step=21 wall_s=12.798 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.812, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.219, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.184, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.153, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.516, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.32, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}

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[TrainingProfile] step=22 wall_s=12.901 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.285, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.182, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.682, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

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[TrainingProfile] step=23 wall_s=12.770 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.215, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.327, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.172, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.907, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.162, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.275, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

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[TrainingProfile] step=24 wall_s=12.965 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 64.051, "peak_allocated_GiB": 42.635, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.257, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.319, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.257, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.39, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.92, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.135, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.367, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.116, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.264, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.192, "reserved_GiB": 62.293, "peak_allocated_GiB": 42.996, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingProfile] step=26 wall_s=13.068 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.144, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.49, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.21, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.295, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingProfile] step=27 wall_s=13.103 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.192, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.263, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.229, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.771, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}

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[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.172, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.015, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingProfile] step=28 wall_s=13.035 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.248, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.309, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.191, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.161, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.154, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.374, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.173, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.175, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}

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[TrainingProfile] step=29 wall_s=12.872 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.91, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.41, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}

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[TrainingProfile] step=30 wall_s=13.070 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.41, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.91, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.047, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}

                                               
{'loss': '0.2768', 'grad_norm': '7.497', 'learning_rate': '5.862e-08', 'epoch': '0.0007902'}

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[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.91, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.41, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.047, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}

                                               
{'train_runtime': '497.1', 'train_samples_per_second': '3.862', 'train_steps_per_second': '0.06', 'train_loss': '0.5133', 'epoch': '0.0007902'}

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[rank0]:[W918 09:29:44.362580655 ProcessGroupNCCL.cpp:1476] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())