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batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl

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batch_profile.0rs6Um/run1_bs1/profile_rank1.jsonl

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batch_profile.0rs6Um/run1_bs1/profile_rank2.jsonl

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batch_profile.0rs6Um/run1_bs1/profile_rank3.jsonl

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batch_profile.0rs6Um/run1_bs1/train.log

@@ -0,0 +1,811 @@
+[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 08:41:46,044] [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.
+Trainer._get_train_sampler replaced with custom implementation.
+Trainer._get_train_sampler replaced with custom implementation.
+[2026-09-18 08:41:46,342] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
+warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
+[2026-09-18 08:41:46,352] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 08:41:46,381] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 08:41:46,382] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 08:41:46,648] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 08:41:46,687] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 08:41:46,697] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 08:41:46,697] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+
+
+[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
+  ],
+  "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'}]
+>>>>> 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'}]
+>>>>> 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'}]
+Total training samples: 2429620
+Total training samples: 2429620
+Total training samples: 2429620
+Formatting inputs...Skip in lazy mode
+Formatting inputs...Skip in lazy mode
+Total training samples: 2429620
+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}.
+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}.
+NCCL version 2.26.2+cuda12.2
+[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": 1, "accumulation": 16, "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": "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": 1, "accumulation": 16, "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": 1, "accumulation": 16, "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": "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": 1, "accumulation": 16, "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]/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):
+/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):
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.21, "reserved_GiB": 44.918, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 44.918, "device_free_GiB": 28.012, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 43.211, "peak_allocated_GiB": 34.44, "peak_reserved_GiB": 43.211, "device_free_GiB": 29.719, "device_total_GiB": 79.189}
+
  3%|▎         | 1/30 [01:01<29:44, 61.52s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 44.314, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 44.314, "device_free_GiB": 28.616, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.153, "reserved_GiB": 43.061, "peak_allocated_GiB": 34.349, "peak_reserved_GiB": 43.061, "device_free_GiB": 29.87, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.2, "reserved_GiB": 44.918, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 44.918, "device_free_GiB": 28.012, "device_total_GiB": 79.189}
+
  7%|▋         | 2/30 [01:21<17:20, 37.16s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.163, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.482, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.191, "reserved_GiB": 44.314, "peak_allocated_GiB": 34.471, "peak_reserved_GiB": 44.314, "device_free_GiB": 28.616, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.134, "reserved_GiB": 43.152, "peak_allocated_GiB": 34.381, "peak_reserved_GiB": 43.152, "device_free_GiB": 29.776, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.182, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.429, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.2, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.238, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.498, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.01, "device_total_GiB": 79.189}
+
 10%|█         | 3/30 [01:41<13:14, 29.44s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.508, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.181, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.191, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.45, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.01, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.125, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.371, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+
 13%|█▎        | 4/30 [02:01<11:04, 25.55s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.172, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.491, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.21, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.469, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.01, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.181, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+
 17%|█▋        | 5/30 [02:21<09:50, 23.61s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.39, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.163, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.219, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.009, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.162, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.409, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+
 20%|██        | 6/30 [02:41<08:55, 22.33s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.2, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.191, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.009, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.498, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.21, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+
 23%|██▎       | 7/30 [03:01<08:16, 21.57s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.163, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.409, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.219, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.009, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+
 27%|██▋       | 8/30 [03:21<07:45, 21.14s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.153, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.4, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.191, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.508, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.219, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.248, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.508, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.009, "device_total_GiB": 79.189}
+
+
 30%|███       | 9/30 [03:41<07:18, 20.87s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.182, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.2, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.716, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.612, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.172, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.686, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.488, "peak_reserved_GiB": 44.92, "device_free_GiB": 28.009, "device_total_GiB": 79.189}
+
 33%|███▎      | 10/30 [04:02<06:53, 20.65s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.2, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.243, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.172, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.214, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.488, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
+
                                               
+
 33%|███▎      | 10/30 [04:02<06:53, 20.65s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.162, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.134, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.243, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.181, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.106, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.352, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+
 37%|███▋      | 11/30 [04:22<06:28, 20.43s/it][TrainingProfile] step=11 wall_s=19.521 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.2, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.2, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
+
 40%|████      | 12/30 [04:41<06:04, 20.25s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.181, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.243, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.153, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.4, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+[TrainingProfile] step=12 wall_s=19.841 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.243, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.2, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.248, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.507, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+
 43%|████▎     | 13/30 [05:02<05:43, 20.22s/it][TrainingProfile] step=13 wall_s=20.166 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.567, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.243, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.536, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.229, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.258, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.517, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+
 47%|████▋     | 14/30 [05:22<05:25, 20.33s/it][TrainingProfile] step=14 wall_s=20.566 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+
 50%|█████     | 15/30 [05:42<05:02, 20.19s/it][TrainingProfile] step=15 wall_s=19.864 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.191, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.143, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.39, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+
 53%|█████▎    | 16/30 [06:02<04:41, 20.13s/it][TrainingProfile] step=16 wall_s=19.990 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+
 57%|█████▋    | 17/30 [06:22<04:19, 20.00s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.172, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.491, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.241, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.144, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.39, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+[TrainingProfile] step=17 wall_s=19.686 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.2, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
+
 60%|██████    | 18/30 [06:41<03:59, 19.92s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.182, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.139, "device_total_GiB": 79.189}
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+[TrainingProfile] step=18 wall_s=19.753 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+
 63%|██████▎   | 19/30 [07:02<03:39, 19.98s/it][TrainingProfile] step=19 wall_s=20.116 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.125, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.371, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
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+
 67%|██████▋   | 20/30 [07:21<03:19, 19.90s/it][TrainingProfile] step=20 wall_s=19.713 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.125, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.371, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
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+[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.241, "device_total_GiB": 79.189}
+
                                               
+
 67%|██████▋   | 20/30 [07:21<03:19, 19.90s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.2, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.163, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.241, "device_total_GiB": 79.189}
+
+
 70%|███████   | 21/30 [07:41<02:59, 19.92s/it][TrainingProfile] step=21 wall_s=19.948 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.137, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.144, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.39, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
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+
 73%|███████▎  | 22/30 [08:04<02:47, 20.92s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.501, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.241, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.429, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.229, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.508, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.137, "device_total_GiB": 79.189}
+[TrainingProfile] step=22 wall_s=23.249 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.517, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.536, "device_total_GiB": 79.189}
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+
 77%|███████▋  | 23/30 [08:25<02:24, 20.70s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.536, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.137, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.182, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
+[TrainingProfile] step=23 wall_s=20.183 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.241, "device_total_GiB": 79.189}
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+
 80%|████████  | 24/30 [08:52<02:15, 22.55s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.124, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.371, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
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+[TrainingProfile] step=24 wall_s=26.861 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.182, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
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+
 83%|████████▎ | 25/30 [09:12<01:50, 22.05s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.21, "reserved_GiB": 43.213, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 43.213, "device_free_GiB": 29.241, "device_total_GiB": 79.189}
+[TrainingProfile] step=25 wall_s=20.901 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+
 87%|████████▋ | 26/30 [09:33<01:26, 21.53s/it][TrainingProfile] step=26 wall_s=20.313 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.219, "reserved_GiB": 44.92, "peak_allocated_GiB": 34.479, "peak_reserved_GiB": 44.92, "device_free_GiB": 27.534, "device_total_GiB": 79.189}
+
 90%|█████████ | 27/30 [09:53<01:03, 21.06s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.163, "reserved_GiB": 43.242, "peak_allocated_GiB": 34.409, "peak_reserved_GiB": 43.242, "device_free_GiB": 29.212, "device_total_GiB": 79.189}
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+[TrainingProfile] step=27 wall_s=19.948 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+
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+[TrainingProfile] step=28 wall_s=20.297 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+
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+
+[TrainingProfile] step=30 wall_s=20.056 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run1_bs1/profile_rank0.jsonl
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+
                                               
+[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 44.316, "peak_allocated_GiB": 34.498, "peak_reserved_GiB": 44.316, "device_free_GiB": 28.137, "device_total_GiB": 79.189}
+
+
+
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+
                                               
+
+
+[rank0]:[W918 08:55:34.991684214 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())

batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl

@@ -0,0 +1,21 @@
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batch_profile.0rs6Um/run2_bs2/profile_rank2.jsonl

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batch_profile.0rs6Um/run2_bs2/profile_rank3.jsonl

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batch_profile.0rs6Um/run2_bs2/train.log

@@ -0,0 +1,827 @@
+[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 08:55:43,645] [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 08:55:43,879] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 08:55:43,955] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 08:55:43,955] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[2026-09-18 08:55:44,249] [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 08:55:44,482] [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 08:55:44,541] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[2026-09-18 08:55:44,803] [INFO] [comm.py:658:init_distributed] cdb=None
+
+
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+
+[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]
+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'}]
+>>>>> 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'}]
+>>>>> 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
+Total training samples: 2429620
+Total training samples: 2429620
+Formatting inputs...Skip in lazy mode
+Formatting inputs...Skip in lazy mode
+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}.
+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": "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": 2, "accumulation": 8, "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": "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": 2, "accumulation": 8, "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": "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": 2, "accumulation": 8, "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}
+[GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (3, 3, 420, 560)], group_sizes=[1, 1]
+/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=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (3, 3, 420, 560)], group_sizes=[1, 1]
+/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=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (4, 3, 420, 560)], group_sizes=[1, 1]
+/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):
+[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": 2, "accumulation": 8, "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=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (2, 3, 420, 560)], group_sizes=[1, 1]
+/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=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[2]
+/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=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[2]
+[GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[2]
+/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: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=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[2]
+/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):
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.154, "reserved_GiB": 45.166, "peak_allocated_GiB": 34.362, "peak_reserved_GiB": 45.166, "device_free_GiB": 27.764, "device_total_GiB": 79.189}
+
  3%|▎         | 1/30 [00:46<22:38, 46.83s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 44.729, "peak_allocated_GiB": 34.4, "peak_reserved_GiB": 44.729, "device_free_GiB": 28.202, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 44.863, "peak_allocated_GiB": 34.459, "peak_reserved_GiB": 44.863, "device_free_GiB": 28.067, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.21, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.406, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.874, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.162, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.2, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.874, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.135, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.394, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+
  7%|▋         | 2/30 [01:03<13:41, 29.33s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.239, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.486, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.874, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.2, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+
 10%|█         | 3/30 [01:21<10:43, 23.84s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.125, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.191, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.872, "device_total_GiB": 79.189}
+
 13%|█▎        | 4/30 [01:46<10:32, 24.34s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.163, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.404, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.2, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.872, "device_total_GiB": 79.189}
+
 17%|█▋        | 5/30 [02:03<09:06, 21.86s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.219, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.872, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.192, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.471, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+
 20%|██        | 6/30 [02:21<08:08, 20.36s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.22, "reserved_GiB": 46.059, "peak_allocated_GiB": 34.467, "peak_reserved_GiB": 46.059, "device_free_GiB": 26.872, "device_total_GiB": 79.189}
+
 23%|██▎       | 7/30 [02:38<07:22, 19.26s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.21, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.191, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.219, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.648, "device_free_GiB": 26.282, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.154, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+
 27%|██▋       | 8/30 [02:55<06:48, 18.55s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.249, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.496, "peak_reserved_GiB": 46.648, "device_free_GiB": 26.282, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.219, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+
 30%|███       | 9/30 [03:12<06:21, 18.16s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.762, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 28.065, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.648, "device_free_GiB": 26.282, "device_total_GiB": 79.189}
+
+
 33%|███▎      | 10/30 [03:29<05:57, 17.90s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.2, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 44.73, "device_free_GiB": 28.2, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.2, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+
+
                                               
+
 33%|███▎      | 10/30 [03:30<05:57, 17.90s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.181, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.144, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.423, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.153, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.106, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.366, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
+
 37%|███▋      | 11/30 [03:47<05:37, 17.76s/it][TrainingProfile] step=11 wall_s=17.056 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.154, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.202, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+
 40%|████      | 12/30 [04:07<05:34, 18.56s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.181, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingProfile] step=12 wall_s=20.393 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
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+
 43%|████▎     | 13/30 [04:28<05:26, 19.20s/it][TrainingProfile] step=13 wall_s=20.653 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.23, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+
+
 47%|████▋     | 14/30 [04:48<05:12, 19.53s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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+[TrainingProfile] step=14 wall_s=20.294 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.134, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.453, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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+
 50%|█████     | 15/30 [05:08<04:54, 19.64s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.404, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
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+[TrainingProfile] step=15 wall_s=19.905 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
 53%|█████▎    | 16/30 [05:25<04:24, 18.87s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingProfile] step=16 wall_s=17.076 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.172, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
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+
 57%|█████▋    | 17/30 [05:42<03:58, 18.38s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingProfile] step=17 wall_s=17.228 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
+
 60%|██████    | 18/30 [05:59<03:35, 17.98s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.2, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingProfile] step=18 wall_s=17.069 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
 63%|██████▎   | 19/30 [06:17<03:14, 17.71s/it][TrainingProfile] step=19 wall_s=17.081 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
 67%|██████▋   | 20/30 [06:34<02:55, 17.57s/it][TrainingProfile] step=20 wall_s=17.236 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.414, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
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+[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.202, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
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+
                                               
+
 67%|██████▋   | 20/30 [06:34<02:55, 17.57s/it][TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.414, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.163, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.403, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
+
 70%|███████   | 21/30 [06:51<02:37, 17.47s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.2, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingProfile] step=21 wall_s=17.220 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
+
 73%|███████▎  | 22/30 [07:08<02:19, 17.41s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.229, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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+[TrainingProfile] step=22 wall_s=17.291 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
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+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
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+
 77%|███████▋  | 23/30 [07:25<02:01, 17.29s/it][TrainingProfile] step=23 wall_s=17.008 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.182, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.429, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
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+
 80%|████████  | 24/30 [07:43<01:44, 17.33s/it][TrainingProfile] step=24 wall_s=17.428 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.21, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.257, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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+
 83%|████████▎ | 25/30 [08:00<01:26, 17.25s/it][TrainingProfile] step=25 wall_s=17.046 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.182, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
+
 87%|████████▋ | 26/30 [08:17<01:08, 17.23s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingProfile] step=26 wall_s=17.175 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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+
 90%|█████████ | 27/30 [08:34<00:51, 17.24s/it][TrainingProfile] step=27 wall_s=17.284 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
 93%|█████████▎| 28/30 [08:52<00:34, 17.25s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.219, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
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+[TrainingProfile] step=28 wall_s=17.265 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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 97%|█████████▋| 29/30 [09:09<00:17, 17.28s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.202, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
+[TrainingProfile] step=29 wall_s=17.355 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
+[TrainingProfile] step=30 wall_s=17.312 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run2_bs2/profile_rank0.jsonl
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+
                                               
+
+
+
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+
                                               
+
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+
+[rank0]:[W918 09:08:06.996013723 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())

batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl

@@ -0,0 +1,21 @@
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batch_profile.0rs6Um/run3_bs4/profile_rank1.jsonl

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batch_profile.0rs6Um/run3_bs4/profile_rank2.jsonl

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batch_profile.0rs6Um/run3_bs4/profile_rank3.jsonl

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batch_profile.0rs6Um/run3_bs4/train.log

@@ -0,0 +1,829 @@
+[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.
+Trainer._get_train_sampler replaced with custom implementation.
+warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
+warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
+[2026-09-18 09:08:15,477] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 09:08:15,485] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Trainer._get_train_sampler replaced with custom implementation.
+Trainer._get_train_sampler replaced with custom implementation.
+warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
+warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
+[2026-09-18 09:08:15,625] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 09:08:15,628] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 09:08:15,784] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 09:08:15,784] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
+[2026-09-18 09:08:15,801] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 09:08:15,933] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 09:08:15,933] [INFO] [comm.py:658:init_distributed] cdb=None
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+
+
+
+[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
+  ],
+  "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'}]
+>>>>> 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
+Total training samples: 2429620
+Total training samples: 2429620
+Formatting inputs...Skip in lazy mode
+Formatting inputs...Skip in lazy mode
+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}.
+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": 4, "accumulation": 4, "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": 4, "accumulation": 4, "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": 4, "accumulation": 4, "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}
+[GeometryBatch] micro_batch=4, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)], group_sizes=[3, 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=4, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)], group_sizes=[3, 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):
+[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": 4, "accumulation": 4, "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=4, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (4, 3, 420, 560)], group_sizes=[3, 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=4, mode=grouped VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (2, 3, 420, 560)], group_sizes=[3, 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=4, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[4]
+[GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[4]
+[GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[4]
+[GeometryBatch] micro_batch=4, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560)], group_sizes=[4]
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 47.699, "peak_allocated_GiB": 34.4, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 47.914, "peak_allocated_GiB": 34.459, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.154, "reserved_GiB": 49.51, "peak_allocated_GiB": 34.362, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
  3%|▎         | 1/30 [00:46<22:38, 46.83s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.21, "reserved_GiB": 48.865, "peak_allocated_GiB": 34.406, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.11, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.135, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.443, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.258, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.485, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.11, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.135, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.496, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.164, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.193, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
  7%|▋         | 2/30 [01:01<13:06, 28.10s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.201, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.475, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.164, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.169, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 10%|█         | 3/30 [01:17<09:59, 22.21s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.257, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.563, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.383, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.11, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.513, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.183, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.575, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.164, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.194, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 13%|█▎        | 4/30 [01:40<09:48, 22.62s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.154, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.407, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.163, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.413, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.21, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.148, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 17%|█▋        | 5/30 [01:55<08:16, 19.85s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.182, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.497, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.2, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.432, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.239, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.414, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.115, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.094, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.22, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.545, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+
 20%|██        | 6/30 [02:09<07:14, 18.12s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.21, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.627, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.144, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.18, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 23%|██▎       | 7/30 [02:25<06:33, 17.11s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.238, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.631, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.409, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.192, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.54, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.153, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.137, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 27%|██▋       | 8/30 [02:40<06:03, 16.53s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.22, "reserved_GiB": 47.699, "peak_allocated_GiB": 36.506, "peak_reserved_GiB": 47.699, "device_free_GiB": 25.274, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.248, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.509, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.22, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.54, "peak_reserved_GiB": 47.701, "device_free_GiB": 25.272, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.182, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.252, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 30%|███       | 9/30 [02:55<05:37, 16.06s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.634, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.473, "peak_reserved_GiB": 47.701, "device_free_GiB": 25.272, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.23, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.553, "peak_reserved_GiB": 47.914, "device_free_GiB": 25.059, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.155, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.116, "peak_reserved_GiB": 49.51, "device_free_GiB": 23.464, "device_total_GiB": 79.189}
+
 33%|███▎      | 10/30 [03:10<05:14, 15.74s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.212, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.38, "peak_reserved_GiB": 48.865, "device_free_GiB": 24.108, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.155, "reserved_GiB": 49.51, "peak_allocated_GiB": 36.116, "peak_reserved_GiB": 49.51, "device_free_GiB": 22.991, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.212, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.38, "peak_reserved_GiB": 48.865, "device_free_GiB": 23.635, "device_total_GiB": 79.189}
+
+[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.473, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.23, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.553, "peak_reserved_GiB": 47.914, "device_free_GiB": 24.587, "device_total_GiB": 79.189}
+
                                               
+
 33%|███▎      | 10/30 [03:10<05:14, 15.74s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.162, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.521, "peak_reserved_GiB": 47.914, "device_free_GiB": 24.587, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.107, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.108, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.153, "reserved_GiB": 48.865, "peak_allocated_GiB": 36.366, "peak_reserved_GiB": 48.865, "device_free_GiB": 23.635, "device_total_GiB": 79.189}
+
 37%|███▋      | 11/30 [03:25<04:56, 15.60s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.162, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.394, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=11 wall_s=14.887 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.191, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.48, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.173, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.535, "peak_reserved_GiB": 47.914, "device_free_GiB": 24.587, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.192, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.259, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.181, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.338, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+
 40%|████      | 12/30 [03:40<04:39, 15.51s/it][TrainingProfile] step=12 wall_s=15.306 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.248, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.48, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.201, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.287, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 43%|████▎     | 13/30 [03:55<04:21, 15.37s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.211, "reserved_GiB": 47.914, "peak_allocated_GiB": 36.58, "peak_reserved_GiB": 47.914, "device_free_GiB": 24.587, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.519, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=13 wall_s=15.033 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.258, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.634, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.258, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.451, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.231, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.262, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 47%|████▋     | 14/30 [04:10<04:03, 15.24s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.537, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=14 wall_s=14.939 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.126, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.128, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 50%|█████     | 15/30 [04:25<03:45, 15.05s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.182, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.573, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.2, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.451, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingProfile] step=15 wall_s=14.614 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.077, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.31, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.219, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.487, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.164, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.516, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.173, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.218, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 53%|█████▎    | 16/30 [04:40<03:29, 14.99s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.127, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.439, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=16 wall_s=14.858 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.392, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.143, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.388, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.201, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.164, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.136, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 57%|█████▋    | 17/30 [04:55<03:15, 15.02s/it][TrainingProfile] step=17 wall_s=15.067 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.192, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.457, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.154, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.158, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.25, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.46, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+
 60%|██████    | 18/30 [05:10<03:00, 15.03s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.107, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.455, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingProfile] step=18 wall_s=15.051 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.106, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.122, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 63%|██████▎   | 19/30 [05:25<02:44, 14.95s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.134, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.366, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.257, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.55, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=19 wall_s=14.769 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.163, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.534, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.163, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.36, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.14, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 67%|██████▋   | 20/30 [05:40<02:29, 14.98s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.125, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.407, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=20 wall_s=15.063 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.164, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.527, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.125, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.407, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.14, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.163, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.36, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+
+[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.164, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.527, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+
                                               
+
 67%|██████▋   | 20/30 [05:40<02:29, 14.98s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.135, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.083, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 70%|███████   | 21/30 [05:55<02:14, 14.91s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.182, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.509, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.325, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.192, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.465, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=21 wall_s=14.725 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.495, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.183, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.239, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.258, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.53, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+
 73%|███████▎  | 22/30 [06:09<01:58, 14.87s/it][TrainingProfile] step=22 wall_s=14.789 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.229, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.63, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.497, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.55, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.625, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.182, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.203, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 77%|███████▋  | 23/30 [06:24<01:43, 14.82s/it][TrainingProfile] step=23 wall_s=14.702 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.125, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.37, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.162, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.477, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.144, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.176, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 80%|████████  | 24/30 [06:39<01:29, 14.94s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.172, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.354, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingProfile] step=24 wall_s=15.226 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.182, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.24, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.21, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.568, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.257, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+
 83%|████████▎ | 25/30 [06:54<01:14, 14.91s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.592, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingProfile] step=25 wall_s=14.823 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.164, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.186, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.239, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.609, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+
 87%|████████▋ | 26/30 [07:09<00:59, 14.96s/it][TrainingProfile] step=26 wall_s=15.080 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.127, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.413, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.249, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.511, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.219, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.455, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.2, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.163, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.19, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 90%|█████████ | 27/30 [07:24<00:45, 15.01s/it][TrainingProfile] step=27 wall_s=15.121 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.191, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.519, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.22, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.212, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.246, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 93%|█████████▎| 28/30 [07:40<00:30, 15.06s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.231, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.504, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.201, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.555, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingProfile] step=28 wall_s=15.192 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.153, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.462, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.229, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.474, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.135, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.186, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
 97%|█████████▋| 29/30 [07:54<00:15, 15.03s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.596, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingProfile] step=29 wall_s=14.945 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+/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):
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 30, "allocated_GiB": 24.211, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.45, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.202, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.33, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+
+[TrainingProfile] step=30 wall_s=15.110 file=/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/spatialstack_janus_VGGT-Optimized_test/output/batch_profile.0rs6Um/run3_bs4/profile_rank0.jsonl
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.603, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.661, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.202, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.33, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.211, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.45, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+
                                               
+
+
+
+
+[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 49.512, "peak_allocated_GiB": 36.33, "peak_reserved_GiB": 49.512, "device_free_GiB": 22.989, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 47.701, "peak_allocated_GiB": 36.603, "peak_reserved_GiB": 47.701, "device_free_GiB": 24.8, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 48.867, "peak_allocated_GiB": 36.45, "peak_reserved_GiB": 48.867, "device_free_GiB": 23.634, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 47.916, "peak_allocated_GiB": 36.661, "peak_reserved_GiB": 47.916, "device_free_GiB": 24.585, "device_total_GiB": 79.189}
+
                                               
+
+
+[rank0]:[W918 09:19:20.723188627 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())

batch_profile.0rs6Um/run4_bs8/profile_rank0.jsonl

@@ -0,0 +1,21 @@
+{"type": "config", "rank": 0, "world_size": 4, "micro_batch": 8, "accumulation": 2, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 2, "prefetch": 1, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "vggt_group_by_shape": true, "train_diagnostics": true, "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}
+{"type": "update", "rank": 0, "step": 11, "wall_ms": 13117.556979879737, "cuda_stream_ms": {"batch_fetch_and_count": 49.429630279541016, "prepare_inputs": 0.9099200069904327, "vision_forward": 618.9852294921875, "vggt_batched": 3435.838104248047, "geometry_total": 3611.340087890625, "language_forward": 2815.165283203125, "forward_and_loss": 7054.18310546875, "backward_and_communication": 5872.69091796875, "backward_and_engine_step": 5960.056884765625, "micro_step_total": 13052.396484375, "vggt_single": 173.12124633789062, "deepspeed_step": 87.25084686279297, "gradient_clipping": 0.06950400024652481, "optimizer": 0.028704000636935234}, "cpu_call_ms": {"batch_fetch_and_count": 49.43638853728771, "prepare_inputs": 0.4787743091583252, "vision_forward": 608.3233673125505, "vggt_batched": 3428.9838299155235, "geometry_total": 3609.340153634548, "language_forward": 2747.6643919944763, "forward_and_loss": 7054.522784426808, "backward_and_communication": 5870.908476412296, "backward_and_engine_step": 5960.053553804755, "micro_step_total": 13052.388735115528, "vggt_single": 179.791497066617, "deepspeed_step": 89.00378458201885, "gradient_clipping": 0.0689048320055008, "optimizer": 0.029228627681732178}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 2, "vision_forward": 2, "vggt_batched": 3, "geometry_total": 2, "language_forward": 2, "forward_and_loss": 2, "backward_and_communication": 2, "backward_and_engine_step": 2, "micro_step_total": 2, "vggt_single": 1, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 2, "samples": 16, "token_slots": 50464, "frames": 135, "vggt_batched_samples": 15, "vggt_batched_frames": 131, "geometry_microbatches": 2, "vggt_batched_microbatches": 1, "vggt_single_samples": 1, "vggt_single_frames": 4, "vggt_fallback_microbatches": 1, "vggt_mixed_microbatches": 1, "valid_tokens": 44439, "supervised_tokens": 63}, "frame_histogram": {"9": 13, "7": 2, "4": 1}, "input_shapes": {"(8, 3210)": 1, "(8, 3098)": 1}, "sample_indices": [2355533, 1658617, 592889, 2416829, 1864270, 1995665, 783966, 1211660, 804348, 152209, 855744, 45004, 642006, 1042078, 1074583, 542592], "padding_fraction": 0.119392041851617}
+{"type": "update", "rank": 0, "step": 12, "wall_ms": 13041.24572686851, "cuda_stream_ms": {"batch_fetch_and_count": 49.49795150756836, "prepare_inputs": 0.893312007188797, "vision_forward": 573.225830078125, "vggt_batched": 3198.92724609375, "vggt_single": 379.6807556152344, "geometry_total": 3581.0008544921875, "language_forward": 2755.321533203125, "forward_and_loss": 6918.13330078125, "backward_and_communication": 5941.806884765625, "backward_and_engine_step": 6029.06640625, "micro_step_total": 12976.46630859375, "deepspeed_step": 87.13362884521484, "gradient_clipping": 0.0689919963479042, "optimizer": 0.018719999119639397}, "cpu_call_ms": {"batch_fetch_and_count": 49.49719458818436, "prepare_inputs": 0.4219450056552887, "vision_forward": 562.5407360494137, "vggt_batched": 3186.5674778819084, "vggt_single": 393.1051269173622, "geometry_total": 3580.234471708536, "language_forward": 2687.2112210839987, "forward_and_loss": 6918.51606965065, "backward_and_communication": 5939.950581640005, "backward_and_engine_step": 6029.062757268548, "micro_step_total": 12976.460911333561, "deepspeed_step": 88.96669745445251, "gradient_clipping": 0.06875209510326385, "optimizer": 0.01864321529865265}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 2, "vision_forward": 2, "vggt_batched": 2, "vggt_single": 2, "geometry_total": 2, "language_forward": 2, "forward_and_loss": 2, "backward_and_communication": 2, "backward_and_engine_step": 2, "micro_step_total": 2, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 2, "samples": 16, "token_slots": 49712, "frames": 135, "vggt_batched_samples": 14, "vggt_batched_frames": 126, "vggt_single_samples": 2, "vggt_single_frames": 9, "geometry_microbatches": 2, "vggt_fallback_microbatches": 2, "vggt_mixed_microbatches": 2, "valid_tokens": 44402, "supervised_tokens": 63}, "frame_histogram": {"9": 14, "5": 1, "4": 1}, "input_shapes": {"(8, 3157)": 1, "(8, 3057)": 1}, "sample_indices": [1967907, 2025503, 2182373, 1417080, 722031, 2401808, 2116680, 1019709, 686733, 369381, 1057845, 2409673, 2035480, 1677979, 774494, 713761], "padding_fraction": 0.10681525587383323}
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+{"type": "update", "rank": 0, "step": 14, "wall_ms": 12913.788076490164, "cuda_stream_ms": {"batch_fetch_and_count": 51.636993408203125, "prepare_inputs": 0.8893440067768097, "vision_forward": 579.1345520019531, "vggt_batched": 3417.8487548828125, "vggt_single": 274.2551574707031, "geometry_total": 3693.4302978515625, "language_forward": 2762.0914306640625, "forward_and_loss": 7043.23046875, "backward_and_communication": 5693.018310546875, "backward_and_engine_step": 5780.52001953125, "micro_step_total": 12846.62890625, "deepspeed_step": 87.38003540039062, "gradient_clipping": 0.07996799796819687, "optimizer": 0.022655999287962914}, "cpu_call_ms": {"batch_fetch_and_count": 51.63734406232834, "prepare_inputs": 0.329338014125824, "vision_forward": 567.8330361843109, "vggt_batched": 3404.461519792676, "vggt_single": 280.7301674038172, "geometry_total": 3685.610320419073, "language_forward": 2700.626913458109, "forward_and_loss": 7043.731153011322, "backward_and_communication": 5691.306363791227, "backward_and_engine_step": 5780.517071485519, "micro_step_total": 12846.625708043575, "deepspeed_step": 89.05727975070477, "gradient_clipping": 0.07934495806694031, "optimizer": 0.023052096366882324}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 2, "vision_forward": 2, "vggt_batched": 2, "vggt_single": 1, "geometry_total": 2, "language_forward": 2, "forward_and_loss": 2, "backward_and_communication": 2, "backward_and_engine_step": 2, "micro_step_total": 2, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 2, "samples": 16, "token_slots": 49352, "frames": 141, "vggt_batched_samples": 15, "vggt_batched_frames": 135, "vggt_single_samples": 1, "vggt_single_frames": 6, "geometry_microbatches": 2, "vggt_fallback_microbatches": 1, "vggt_mixed_microbatches": 1, "vggt_batched_microbatches": 1, "valid_tokens": 46065, "supervised_tokens": 63}, "frame_histogram": {"9": 15, "6": 1}, "input_shapes": {"(8, 3137)": 1, "(8, 3032)": 1}, "sample_indices": [1940922, 1946084, 1553141, 2085879, 1198799, 1066504, 794787, 1571799, 534912, 402392, 1919294, 694796, 2213155, 2000884, 170014, 1635599], "padding_fraction": 0.06660317717620357}
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batch_profile.0rs6Um/run4_bs8/profile_rank1.jsonl

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batch_profile.0rs6Um/run4_bs8/profile_rank2.jsonl

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+{"type": "update", "rank": 3, "step": 29, "wall_ms": 12871.978215873241, "cuda_stream_ms": {"batch_fetch_and_count": 50.24911880493164, "prepare_inputs": 0.8967040181159973, "vision_forward": 569.7894897460938, "vggt_batched": 3199.95458984375, "vggt_single": 511.0913543701172, "geometry_total": 3713.4395751953125, "language_forward": 2675.4366455078125, "forward_and_loss": 6967.279052734375, "backward_and_communication": 5727.123291015625, "backward_and_engine_step": 5814.98779296875, "micro_step_total": 12807.06494140625, "deepspeed_step": 87.7352294921875, "gradient_clipping": 0.0764160007238388, "optimizer": 0.019487999379634857}, "cpu_call_ms": {"batch_fetch_and_count": 50.43499730527401, "prepare_inputs": 0.3453213721513748, "vision_forward": 558.6239136755466, "vggt_batched": 3187.640631571412, "vggt_single": 524.0892432630062, "geometry_total": 3712.237784639001, "language_forward": 2610.080260783434, "forward_and_loss": 6967.818746343255, "backward_and_communication": 5725.304622203112, "backward_and_engine_step": 5815.044330433011, "micro_step_total": 12807.19194188714, "deepspeed_step": 89.59101513028145, "gradient_clipping": 0.07564760744571686, "optimizer": 0.01963600516319275}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 2, "vision_forward": 2, "vggt_batched": 2, "vggt_single": 2, "geometry_total": 2, "language_forward": 2, "forward_and_loss": 2, "backward_and_communication": 2, "backward_and_engine_step": 2, "micro_step_total": 2, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 2, "samples": 16, "token_slots": 48696, "frames": 138, "vggt_batched_samples": 14, "vggt_batched_frames": 126, "vggt_single_samples": 2, "vggt_single_frames": 12, "geometry_microbatches": 2, "vggt_fallback_microbatches": 2, "vggt_mixed_microbatches": 2, "valid_tokens": 45143, "supervised_tokens": 64}, "frame_histogram": {"9": 14, "6": 2}, "input_shapes": {"(8, 3053)": 1, "(8, 3034)": 1}, "sample_indices": [1323349, 487813, 2326387, 503422, 2277042, 1342389, 2212932, 1819802, 372463, 1823686, 656698, 2372248, 50995, 1507635, 402518, 2152643], "padding_fraction": 0.07296287169377358}
+{"type": "update", "rank": 3, "step": 30, "wall_ms": 13070.201551541686, "cuda_stream_ms": {"batch_fetch_and_count": 51.490753173828125, "prepare_inputs": 0.8817279934883118, "vision_forward": 582.0501403808594, "vggt_batched": 3399.3616943359375, "geometry_total": 3604.2593994140625, "language_forward": 2741.9818115234375, "forward_and_loss": 6936.95166015625, "backward_and_communication": 5955.125244140625, "backward_and_engine_step": 6043.017822265625, "micro_step_total": 13004.7548828125, "vggt_single": 203.5799102783203, "deepspeed_step": 87.78585815429688, "gradient_clipping": 0.05382400006055832, "optimizer": 0.022784000262618065}, "cpu_call_ms": {"batch_fetch_and_count": 51.493484526872635, "prepare_inputs": 0.3358367830514908, "vision_forward": 570.7553364336491, "vggt_batched": 3385.9320618212223, "geometry_total": 3596.567800268531, "language_forward": 2681.695658713579, "forward_and_loss": 6937.4982584267855, "backward_and_communication": 5953.398844227195, "backward_and_engine_step": 6043.077245354652, "micro_step_total": 13004.883036017418, "vggt_single": 210.270119830966, "deepspeed_step": 89.55266512930393, "gradient_clipping": 0.053301453590393066, "optimizer": 0.022923573851585388}, "calls": {"batch_fetch_and_count": 1, "prepare_inputs": 2, "vision_forward": 2, "vggt_batched": 2, "geometry_total": 2, "language_forward": 2, "forward_and_loss": 2, "backward_and_communication": 2, "backward_and_engine_step": 2, "micro_step_total": 2, "vggt_single": 1, "deepspeed_step": 1, "gradient_clipping": 1, "optimizer": 1}, "counts": {"micro_steps": 2, "samples": 16, "token_slots": 49392, "frames": 140, "vggt_batched_samples": 15, "vggt_batched_frames": 135, "geometry_microbatches": 2, "vggt_batched_microbatches": 1, "vggt_single_samples": 1, "vggt_single_frames": 5, "vggt_fallback_microbatches": 1, "vggt_mixed_microbatches": 1, "valid_tokens": 45969, "supervised_tokens": 63}, "frame_histogram": {"9": 15, "5": 1}, "input_shapes": {"(8, 3104)": 1, "(8, 3070)": 1}, "sample_indices": [10921, 219459, 1562082, 623216, 609564, 98715, 2195087, 2227085, 1302187, 1193483, 2062966, 1530985, 1749312, 1313956, 1076978, 1340263], "padding_fraction": 0.06930272108843538}

batch_profile.0rs6Um/run4_bs8/train.log

@@ -0,0 +1,827 @@
+[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
+
+[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
+
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+
+[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
+  ],
+  "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'}]
+>>>>> 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}
+
                                               
+
 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}
+
                                               
+
 67%|██████▋   | 20/30 [05:12<02:10, 13.00s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.116, "reserved_GiB": 62.648, "peak_allocated_GiB": 42.078, "peak_reserved_GiB": 62.648, "device_free_GiB": 9.803, "device_total_GiB": 79.189}
+
 70%|███████   | 21/30 [05:25<01:56, 12.94s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.172, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.648, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
+[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}
+
 73%|███████▎  | 22/30 [05:38<01:43, 12.93s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.289, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
+[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}
+
 77%|███████▋  | 23/30 [05:51<01:30, 12.88s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 64.051, "peak_allocated_GiB": 43.257, "peak_reserved_GiB": 64.051, "device_free_GiB": 8.403, "device_total_GiB": 79.189}
+[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}
+
 80%|████████  | 24/30 [06:04<01:17, 12.91s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.534, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
+[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}
+
 83%|████████▎ | 25/30 [06:16<01:04, 12.89s/it][TrainingProfile] step=25 wall_s=12.839 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": 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}
+
 87%|████████▋ | 26/30 [06:29<00:51, 12.94s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.229, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.109, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
+[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}
+
 90%|█████████ | 27/30 [06:43<00:38, 12.99s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.229, "reserved_GiB": 63.193, "peak_allocated_GiB": 43.119, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
+[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}
+
 93%|█████████▎| 28/30 [06:56<00:26, 13.00s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.21, "reserved_GiB": 62.293, "peak_allocated_GiB": 43.254, "peak_reserved_GiB": 62.293, "device_free_GiB": 10.161, "device_total_GiB": 79.189}
+[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}
+
 97%|█████████▋| 29/30 [07:08<00:12, 12.96s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 63.193, "peak_allocated_GiB": 42.983, "peak_reserved_GiB": 63.193, "device_free_GiB": 9.26, "device_total_GiB": 79.189}
+[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}
+
+[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}
+
                                               
+
+
+
+[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}
+
                                               
+
+
+[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())

batch_profile.0rs6Um/run5_bs16/profile_rank0.jsonl

@@ -0,0 +1 @@
+{"type": "config", "rank": 0, "world_size": 4, "micro_batch": 16, "accumulation": 1, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 2, "prefetch": 1, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "vggt_group_by_shape": true, "train_diagnostics": true, "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}

batch_profile.0rs6Um/run5_bs16/profile_rank1.jsonl

@@ -0,0 +1 @@
+{"type": "config", "rank": 1, "world_size": 4, "micro_batch": 16, "accumulation": 1, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 2, "prefetch": 1, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "vggt_group_by_shape": true, "train_diagnostics": true, "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}

batch_profile.0rs6Um/run5_bs16/profile_rank2.jsonl

@@ -0,0 +1 @@
+{"type": "config", "rank": 2, "world_size": 4, "micro_batch": 16, "accumulation": 1, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 2, "prefetch": 1, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "vggt_group_by_shape": true, "train_diagnostics": true, "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}

batch_profile.0rs6Um/run5_bs16/profile_rank3.jsonl

@@ -0,0 +1 @@
+{"type": "config", "rank": 3, "world_size": 4, "micro_batch": 16, "accumulation": 1, "global_batch": 64, "seed": 42, "max_steps": 30, "workers": 2, "prefetch": 1, "first_step": 11, "last_step": 30, "model": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/Qwen3.5-4B", "supervised_token_loss": true, "NCCL_NVLS_ENABLE": "0", "vggt_group_by_shape": true, "train_diagnostics": true, "note": "CUDA stream elapsed times include stalls; nested regions overlap. Update boundary synchronization is enabled. Backward includes recomputation and communication."}

batch_profile.0rs6Um/run5_bs16/train.log

@@ -0,0 +1,774 @@
+[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.
+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 09:29:54,323] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 09:29:54,355] [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 09:29:54,647] [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 09:29:54,664] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 09:29:54,666] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 09:29:54,696] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2026-09-18 09:29:54,983] [INFO] [comm.py:658:init_distributed] cdb=None
+[2026-09-18 09:29:54,983] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
+[2026-09-18 09:29:55,016] [INFO] [comm.py:658:init_distributed] cdb=None
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+
+[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
+
+
+[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
+  ],
+  "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]
+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'}]
+>>>>> 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
+Total training samples: 2429620
+Total training samples: 2429620
+Formatting inputs...Skip in lazy mode
+Formatting inputs...Skip in lazy mode
+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}.
+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": "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": 16, "accumulation": 1, "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": "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": 16, "accumulation": 1, "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": "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": 16, "accumulation": 1, "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": 16, "accumulation": 1, "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=16, 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), (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), (4, 3, 420, 560)], group_sizes=[14, 1, 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=16, 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), (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), (3, 3, 420, 560)], group_sizes=[14, 1, 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=16, 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), (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), (8, 3, 420, 560), (3, 3, 420, 560)], group_sizes=[14, 1, 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=16, 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), (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), (2, 3, 420, 560)], group_sizes=[15, 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):
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 72.801, "peak_allocated_GiB": 45.968, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.124, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 38.982, "peak_allocated_GiB": 46.026, "peak_reserved_GiB": 69.93, "device_free_GiB": 33.942, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.193, "reserved_GiB": 39.338, "peak_allocated_GiB": 45.39, "peak_reserved_GiB": 68.949, "device_free_GiB": 33.587, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 39.023, "peak_allocated_GiB": 46.041, "peak_reserved_GiB": 69.971, "device_free_GiB": 33.901, "device_total_GiB": 79.189}
+
  3%|▎         | 1/30 [00:43<20:57, 43.35s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.173, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.043, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.124, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.182, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.57, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.413, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.182, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.502, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.823, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.155, "reserved_GiB": 65.422, "peak_allocated_GiB": 53.813, "peak_reserved_GiB": 65.422, "device_free_GiB": 7.501, "device_total_GiB": 79.189}
+
  7%|▋         | 2/30 [01:04<14:09, 30.34s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.21, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.124, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.124, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.221, "reserved_GiB": 65.422, "peak_allocated_GiB": 54.329, "peak_reserved_GiB": 65.422, "device_free_GiB": 7.501, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.192, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.037, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+
 10%|█         | 3/30 [01:26<11:50, 26.32s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.524, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.411, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.287, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.122, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.163, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.33, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.411, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.395, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.165, "reserved_GiB": 65.422, "peak_allocated_GiB": 53.391, "peak_reserved_GiB": 65.422, "device_free_GiB": 7.501, "device_total_GiB": 79.189}
+
 13%|█▎        | 4/30 [01:47<10:29, 24.20s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.182, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.513, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.122, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.164, "reserved_GiB": 65.422, "peak_allocated_GiB": 53.984, "peak_reserved_GiB": 65.422, "device_free_GiB": 7.501, "device_total_GiB": 79.189}
+
 17%|█▋        | 5/30 [01:59<08:19, 20.00s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.163, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.514, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.411, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.192, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.674, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.182, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.165, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.192, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.063, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.122, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.201, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.416, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.411, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.202, "reserved_GiB": 65.422, "peak_allocated_GiB": 53.584, "peak_reserved_GiB": 65.422, "device_free_GiB": 7.501, "device_total_GiB": 79.189}
+
 20%|██        | 6/30 [02:12<06:58, 17.42s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.182, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.513, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.122, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.201, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.854, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.409, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.211, "reserved_GiB": 65.422, "peak_allocated_GiB": 53.903, "peak_reserved_GiB": 65.422, "device_free_GiB": 7.501, "device_total_GiB": 79.189}
+
 23%|██▎       | 7/30 [02:24<06:03, 15.82s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.22, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.892, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.201, "reserved_GiB": 69.102, "peak_allocated_GiB": 55.012, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.182, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.43, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.12, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.192, "reserved_GiB": 70.512, "peak_allocated_GiB": 55.349, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.409, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.193, "reserved_GiB": 66.377, "peak_allocated_GiB": 55.5, "peak_reserved_GiB": 66.377, "device_free_GiB": 6.546, "device_total_GiB": 79.189}
+
 27%|██▋       | 8/30 [02:46<06:32, 17.83s/it]/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):
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.248, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.738, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.12, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.22, "reserved_GiB": 70.512, "peak_allocated_GiB": 55.188, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.409, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.763, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.183, "reserved_GiB": 66.377, "peak_allocated_GiB": 53.989, "peak_reserved_GiB": 66.377, "device_free_GiB": 6.544, "device_total_GiB": 79.189}
+
 30%|███       | 9/30 [02:59<05:40, 16.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.192, "reserved_GiB": 69.102, "peak_allocated_GiB": 54.213, "peak_reserved_GiB": 69.102, "device_free_GiB": 3.821, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.211, "reserved_GiB": 70.512, "peak_allocated_GiB": 54.643, "peak_reserved_GiB": 70.512, "device_free_GiB": 2.409, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.212, "reserved_GiB": 66.377, "peak_allocated_GiB": 53.92, "peak_reserved_GiB": 66.377, "device_free_GiB": 6.542, "device_total_GiB": 79.189}
+[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 72.801, "peak_allocated_GiB": 54.163, "peak_reserved_GiB": 72.801, "device_free_GiB": 0.12, "device_total_GiB": 79.189}
+
 33%|███▎      | 10/30 [03:12<05:02, 15.12s/it]
+[2026-09-18 09:34:25] worker-1:2270498:2271473 [3] include/alloc.h:228 NCCL WARN Cuda failure 2 'out of memory'
+
+[2026-09-18 09:34:25] worker-1:2270498:2271473 [3] include/alloc.h:346 NCCL WARN Failed to CUDA calloc async 2432 bytes
+[rank3]: Traceback (most recent call last):
+[rank3]:   File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 420, in <module>
+[rank3]:     train(attn_implementation="flash_attention_2")
+[rank3]:   File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 384, in train
+[rank3]:     trainer.train()
+[rank3]:   File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/debug/training_profile.py", line 308, in train
+[rank3]:     return super().train(*args, **kwargs)
+[rank3]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1424, in train
+[rank3]:     return inner_training_loop(
+[rank3]:            ^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1506, in _inner_training_loop
+[rank3]:     self._run_epoch(
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1775, in _run_epoch
+[rank3]:     self._maybe_log_save_evaluate(
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 2060, in _maybe_log_save_evaluate
+[rank3]:     tr_loss_scalar = nested_gather(tr_loss, self.args.parallel_mode).mean().item()
+[rank3]:                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer_pt_utils.py", line 235, in nested_gather
+[rank3]:     tensors = distributed_concat(tensors)
+[rank3]:               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer_pt_utils.py", line 209, in distributed_concat
+[rank3]:     dist.all_gather(output_tensors, tensor)
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/c10d_logger.py", line 81, in wrapper
+[rank3]:     return func(*args, **kwargs)
+[rank3]:            ^^^^^^^^^^^^^^^^^^^^^
+[rank3]:   File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py", line 3728, in all_gather
+[rank3]:     work = group.allgather([tensor_list], [tensor])
+[rank3]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank3]: torch.distributed.DistBackendError: NCCL error in: /pytorch/torch/csrc/distributed/c10d/NCCLUtils.cpp:77, unhandled cuda error (run with NCCL_DEBUG=INFO for details), NCCL version 2.26.2
+[rank3]: ncclUnhandledCudaError: Call to CUDA function failed.
+[rank3]: Last error:
+[rank3]: Failed to CUDA calloc async 2432 bytes
+W0918 09:35:02.973000 2270492 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2270495 closing signal SIGTERM
+W0918 09:35:02.975000 2270492 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2270496 closing signal SIGTERM
+W0918 09:35:02.978000 2270492 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2270497 closing signal SIGTERM
+E0918 09:35:02.993000 2270492 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 3 (pid: 2270498) of binary: /home/dungpq6/anaconda3/envs/spatialstack-qwen35/bin/python3.12
+Traceback (most recent call last):
+  File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/bin/torchrun", line 6, in <module>
+    sys.exit(main())
+             ^^^^^^
+  File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
+    return f(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^
+  File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/run.py", line 892, in main
+    run(args)
+  File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
+    elastic_launch(
+  File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
+    return launch_agent(self._config, self._entrypoint, list(args))
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
+    raise ChildFailedError(
+torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
+============================================================
+src/qwen_vl/train/train_qwen.py FAILED
+------------------------------------------------------------
+Failures:
+  <NO_OTHER_FAILURES>
+------------------------------------------------------------
+Root Cause (first observed failure):
+[0]:
+  time      : 2026-09-18_09:35:02
+  host      : worker-1.fpt-hpc-worker-svc.fpt-hpc.svc.cluster.local
+  rank      : 3 (local_rank: 3)
+  exitcode  : 1 (pid: 2270498)
+  error_file: <N/A>
+  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
+============================================================