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debugging_optimized / batch_profile.0rs6Um /run2_bs2 /train.log
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[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
[INFO] Running in WANDB offline mode
Trainer._get_train_sampler replaced with custom implementation.
warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
[2026-09-18 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)
Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|██████████| 723/723 [00:00<00:00, 10494.47it/s]
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
[2026-09-18 08:55:44,803] [INFO] [comm.py:658:init_distributed] cdb=None
Loading weights: 0%| | 0/723 [00:00<?, ?it/s][2026-09-18 08:55:44,865] [INFO] [comm.py:658:init_distributed] cdb=None
Loading weights: 100%|██████████| 723/723 [00:00<00:00, 10422.65it/s]
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
[TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|██████████| 723/723 [00:00<00:00, 13233.03it/s]
Loading weights: 0%| | 0/723 [00:00<?, ?it/s] Loading weights: 100%|██████████| 723/723 [00:00<00:00, 11139.25it/s]
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
[VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
[FeatureFusion] geometry fusion delta scaled by 0.5
[FeatureFusion] importance gate ENABLED on geometry delta
[FeatureFusion] learnable geometry scale ENABLED (init 0.5)
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
Loading weights from local directory
>>>>> STOP loss up-weight: 3.0 on token ids [48964]
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}
{'loss': '0.9616', 'grad_norm': '6.688', 'learning_rate': '1.647e-05', 'epoch': '0.0002634'}
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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.191, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "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}
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}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.527, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
[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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.125, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
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}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "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=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
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.153, "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": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.154, "reserved_GiB": 44.73, "peak_allocated_GiB": 34.433, "peak_reserved_GiB": 44.73, "device_free_GiB": 27.727, "device_total_GiB": 79.189}
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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "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}
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
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.154, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.414, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.182, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.501, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "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}
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
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.135, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.395, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.162, "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": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "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": "2", "stage": "before_logging", "step": 20, "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}
[TrainingMemory] {"rank": "3", "stage": "before_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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.115, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.375, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
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}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "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}
[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}
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.115, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.375, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
{'loss': '0.2871', 'grad_norm': '4.459', 'learning_rate': '6.299e-06', 'epoch': '0.0005268'}
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}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
[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}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.537, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
[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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "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}
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}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.162, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.125, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.182, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
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}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.219, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "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}
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
[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "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}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.172, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
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}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "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}
[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
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.423, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.172, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
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[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
[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.191, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "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=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
[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.191, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "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}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
{'loss': '0.2731', 'grad_norm': '7.116', 'learning_rate': '5.862e-08', 'epoch': '0.0007902'}
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[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.451, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.29, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.134, "device_total_GiB": 79.189}
[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 46.648, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.648, "device_free_GiB": 25.809, "device_total_GiB": 79.189}
{'train_runtime': '621.8', 'train_samples_per_second': '3.088', 'train_steps_per_second': '0.048', 'train_loss': '0.5073', 'epoch': '0.0007902'}
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[TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 22.888, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.593, "device_total_GiB": 79.189}
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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())