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debugging_optimized

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  1. speed_fixed_bs16/train.log +1167 -0
  2. speed_fixed_bs2/train.log +905 -0
  3. speed_fixed_bs4/train.log +905 -0
  4. speed_fixed_bs8/train.log +919 -0
speed_fixed_bs16/train.log ADDED
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+ [INFO] Running in WANDB offline mode
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+ [INFO] Running in WANDB offline mode
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+ [INFO] Running in WANDB offline mode
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+ Trainer._get_train_sampler replaced with custom implementation.
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+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
7
+ [2026-09-18 03:39:48,382] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
8
+ Trainer._get_train_sampler replaced with custom implementation.
9
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
10
+ Trainer._get_train_sampler replaced with custom implementation.
11
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
12
+ [2026-09-18 03:39:48,439] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
13
+ Trainer._get_train_sampler replaced with custom implementation.
14
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
15
+ [2026-09-18 03:39:48,457] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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+ [2026-09-18 03:39:48,485] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
17
+ [2026-09-18 03:39:48,729] [INFO] [comm.py:658:init_distributed] cdb=None
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+ [2026-09-18 03:39:48,758] [INFO] [comm.py:658:init_distributed] cdb=None
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+ [2026-09-18 03:39:48,785] [INFO] [comm.py:658:init_distributed] cdb=None
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+ [2026-09-18 03:39:48,810] [INFO] [comm.py:658:init_distributed] cdb=None
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+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
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+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
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+ [FeatureFusion] geometry fusion delta scaled by 0.5
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+ [FeatureFusion] importance gate ENABLED on geometry delta
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+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
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+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
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+ [FeatureFusion] importance gate ENABLED on geometry delta
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+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
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+ Loading weights from local directory
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+ Loading weights from local directory
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+ Loading weights from local directory
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+ Loading weights from local directory
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+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
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+ 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'}]
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+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
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+ "linear_num_key_heads": 16,
420
+ "linear_num_value_heads": 32,
421
+ "linear_value_head_dim": 128,
422
+ "mamba_ssm_dtype": "float32",
423
+ "max_position_embeddings": 262144,
424
+ "mlp_only_layers": [],
425
+ "model_type": "qwen3_5_text",
426
+ "mtp_num_hidden_layers": 1,
427
+ "mtp_use_dedicated_embeddings": false,
428
+ "num_attention_heads": 16,
429
+ "num_hidden_layers": 32,
430
+ "num_key_value_heads": 4,
431
+ "pad_token_id": null,
432
+ "partial_rotary_factor": 0.25,
433
+ "rms_norm_eps": 1e-06,
434
+ "rope_parameters": {
435
+ "mrope_interleaved": true,
436
+ "mrope_section": [
437
+ 11,
438
+ 11,
439
+ 10
440
+ ],
441
+ "partial_rotary_factor": 0.25,
442
+ "rope_theta": 10000000,
443
+ "rope_type": "default"
444
+ },
445
+ "tie_word_embeddings": true,
446
+ "use_cache": true,
447
+ "vocab_size": 248320
448
+ },
449
+ "tie_word_embeddings": true,
450
+ "transformers_version": "5.3.0",
451
+ "use_cache": false,
452
+ "use_geometry_encoder": true,
453
+ "video_token_id": 248057,
454
+ "vision_config": {
455
+ "deepstack_visual_indexes": [],
456
+ "depth": 24,
457
+ "dtype": "bfloat16",
458
+ "hidden_act": "gelu_pytorch_tanh",
459
+ "hidden_size": 1024,
460
+ "in_channels": 3,
461
+ "initializer_range": 0.02,
462
+ "intermediate_size": 4096,
463
+ "model_type": "qwen3_5",
464
+ "num_heads": 16,
465
+ "num_position_embeddings": 2304,
466
+ "out_hidden_size": 2560,
467
+ "patch_size": 16,
468
+ "spatial_merge_size": 2,
469
+ "temporal_patch_size": 2
470
+ },
471
+ "vision_end_token_id": 248054,
472
+ "vision_language_fusion_layers": null,
473
+ "vision_start_token_id": 248053
474
+ }
475
+
476
+ 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'}]
477
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
478
+ Qwen3_5Config {
479
+ "architectures": [
480
+ "Qwen3_5ForConditionalGeneration"
481
+ ],
482
+ "dtype": "bfloat16",
483
+ "feature_fusion_method": "deepstack_language_add",
484
+ "fusion_num_layers": 1,
485
+ "geometry_encoder_layers": [
486
+ 11,
487
+ 17,
488
+ 23
489
+ ],
490
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
491
+ "geometry_encoder_streaming": true,
492
+ "geometry_encoder_type": "vggt",
493
+ "geometry_frame_strict": true,
494
+ "geometry_fusion_layers": [
495
+ 0,
496
+ 1,
497
+ 2
498
+ ],
499
+ "geometry_fusion_scale": 0.5,
500
+ "geometry_importance_gate": true,
501
+ "geometry_learnable_scale": true,
502
+ "geometry_merger_type": "mlp",
503
+ "geometry_spatial_bias": false,
504
+ "image_token_id": 248056,
505
+ "include_camera_token": false,
506
+ "model_type": "qwen3_5",
507
+ "pos_encoding_type": "none",
508
+ "reference_frame": "first",
509
+ "supervised_token_loss": true,
510
+ "text_config": {
511
+ "attention_bias": false,
512
+ "attention_dropout": 0.0,
513
+ "attn_output_gate": true,
514
+ "bos_token_id": null,
515
+ "dtype": "bfloat16",
516
+ "eos_token_id": 248044,
517
+ "full_attention_interval": 4,
518
+ "head_dim": 256,
519
+ "hidden_act": "silu",
520
+ "hidden_size": 2560,
521
+ "initializer_range": 0.02,
522
+ "intermediate_size": 9216,
523
+ "layer_types": [
524
+ "linear_attention",
525
+ "linear_attention",
526
+ "linear_attention",
527
+ "full_attention",
528
+ "linear_attention",
529
+ "linear_attention",
530
+ "linear_attention",
531
+ "full_attention",
532
+ "linear_attention",
533
+ "linear_attention",
534
+ "linear_attention",
535
+ "full_attention",
536
+ "linear_attention",
537
+ "linear_attention",
538
+ "linear_attention",
539
+ "full_attention",
540
+ "linear_attention",
541
+ "linear_attention",
542
+ "linear_attention",
543
+ "full_attention",
544
+ "linear_attention",
545
+ "linear_attention",
546
+ "linear_attention",
547
+ "full_attention",
548
+ "linear_attention",
549
+ "linear_attention",
550
+ "linear_attention",
551
+ "full_attention",
552
+ "linear_attention",
553
+ "linear_attention",
554
+ "linear_attention",
555
+ "full_attention"
556
+ ],
557
+ "linear_conv_kernel_dim": 4,
558
+ "linear_key_head_dim": 128,
559
+ "linear_num_key_heads": 16,
560
+ "linear_num_value_heads": 32,
561
+ "linear_value_head_dim": 128,
562
+ "mamba_ssm_dtype": "float32",
563
+ "max_position_embeddings": 262144,
564
+ "mlp_only_layers": [],
565
+ "model_type": "qwen3_5_text",
566
+ "mtp_num_hidden_layers": 1,
567
+ "mtp_use_dedicated_embeddings": false,
568
+ "num_attention_heads": 16,
569
+ "num_hidden_layers": 32,
570
+ "num_key_value_heads": 4,
571
+ "pad_token_id": null,
572
+ "partial_rotary_factor": 0.25,
573
+ "rms_norm_eps": 1e-06,
574
+ "rope_parameters": {
575
+ "mrope_interleaved": true,
576
+ "mrope_section": [
577
+ 11,
578
+ 11,
579
+ 10
580
+ ],
581
+ "partial_rotary_factor": 0.25,
582
+ "rope_theta": 10000000,
583
+ "rope_type": "default"
584
+ },
585
+ "tie_word_embeddings": true,
586
+ "use_cache": true,
587
+ "vocab_size": 248320
588
+ },
589
+ "tie_word_embeddings": true,
590
+ "transformers_version": "5.3.0",
591
+ "use_cache": false,
592
+ "use_geometry_encoder": true,
593
+ "video_token_id": 248057,
594
+ "vision_config": {
595
+ "deepstack_visual_indexes": [],
596
+ "depth": 24,
597
+ "dtype": "bfloat16",
598
+ "hidden_act": "gelu_pytorch_tanh",
599
+ "hidden_size": 1024,
600
+ "in_channels": 3,
601
+ "initializer_range": 0.02,
602
+ "intermediate_size": 4096,
603
+ "model_type": "qwen3_5",
604
+ "num_heads": 16,
605
+ "num_position_embeddings": 2304,
606
+ "out_hidden_size": 2560,
607
+ "patch_size": 16,
608
+ "spatial_merge_size": 2,
609
+ "temporal_patch_size": 2
610
+ },
611
+ "vision_end_token_id": 248054,
612
+ "vision_language_fusion_layers": null,
613
+ "vision_start_token_id": 248053
614
+ }
615
+
616
+ 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'}]
617
+ Total training samples: 2429620
618
+ Total training samples: 2429620
619
+ Total training samples: 2429620
620
+ Formatting inputs...Skip in lazy mode
621
+ Formatting inputs...Skip in lazy mode
622
+ Formatting inputs...Skip in lazy mode
623
+ Total training samples: 2429620
624
+ 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}.
625
+ 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}.
626
+ Formatting inputs...Skip in lazy mode
627
+ 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}.
628
+ 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}.
629
+ NCCL version 2.26.2+cuda12.2
630
+
631
+ [2026-09-18 03:40:48] worker-1:2236406:2237140 [1] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
632
+
633
+ [2026-09-18 03:40:48] worker-1:2236405:2237138 [0] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
634
+
635
+ [2026-09-18 03:40:48] worker-1:2236408:2237142 [3] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
636
+
637
+ [2026-09-18 03:40:48] worker-1:2236407:2237145 [2] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
638
+ [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"}
639
+ [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}
640
+ [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"}
641
+ [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}
642
+ [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"}
643
+ [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}
644
+ [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"}
645
+ [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}
646
+
647
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=16, mode=per-sample VGGT fallback, 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)]
648
+ /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.
649
+ with torch.cuda.amp.autocast(dtype=dtype):
650
+ [GeometryBatch] micro_batch=16, mode=per-sample VGGT fallback, 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)]
651
+ /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.
652
+ with torch.cuda.amp.autocast(dtype=dtype):
653
+ [GeometryBatch] micro_batch=16, mode=per-sample VGGT fallback, 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)]
654
+ /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.
655
+ with torch.cuda.amp.autocast(dtype=dtype):
656
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
657
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
658
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
659
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
660
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
661
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
662
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
663
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
664
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
665
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
666
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
667
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
668
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
669
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
670
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
671
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
672
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
673
+ ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm).
674
+ [rank0]: Traceback (most recent call last):
675
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1284, in _try_get_data
676
+ [rank0]: data = self._data_queue.get(timeout=timeout)
677
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
678
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/queue.py", line 180, in get
679
+ [rank0]: self.not_empty.wait(remaining)
680
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 359, in wait
681
+ [rank0]: gotit = waiter.acquire(True, timeout)
682
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
683
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
684
+ [rank0]: _error_if_any_worker_fails()
685
+ [rank0]: RuntimeError: DataLoader worker (pid 2237269) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
686
+
687
+ [rank0]: The above exception was the direct cause of the following exception:
688
+
689
+ [rank0]: Traceback (most recent call last):
690
+ [rank0]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 414, in <module>
691
+ [rank0]: train(attn_implementation="flash_attention_2")
692
+ [rank0]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 378, in train
693
+ [rank0]: trainer.train()
694
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1424, in train
695
+ [rank0]: return inner_training_loop(
696
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^
697
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1506, in _inner_training_loop
698
+ [rank0]: self._run_epoch(
699
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1701, in _run_epoch
700
+ [rank0]: batch_samples, num_items_in_batch = self.get_batch_samples(epoch_iterator, num_batches, self.args.device)
701
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
702
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 2102, in get_batch_samples
703
+ [rank0]: batch_samples.append(next(epoch_iterator))
704
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^
705
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/accelerate/data_loader.py", line 577, in __iter__
706
+ [rank0]: current_batch = next(dataloader_iter)
707
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^^
708
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 733, in __next__
709
+ [rank0]: data = self._next_data()
710
+ [rank0]: ^^^^^^^^^^^^^^^^^
711
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1491, in _next_data
712
+ [rank0]: idx, data = self._get_data()
713
+ [rank0]: ^^^^^^^^^^^^^^^^
714
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1443, in _get_data
715
+ [rank0]: success, data = self._try_get_data()
716
+ [rank0]: ^^^^^^^^^^^^^^^^^^^^
717
+ [rank0]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1297, in _try_get_data
718
+ [rank0]: raise RuntimeError(
719
+ [rank0]: RuntimeError: DataLoader worker (pid(s) 2237269) exited unexpectedly
720
+ Exception in thread Thread-2 (_pin_memory_loop):
721
+ Traceback (most recent call last):
722
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 1075, in _bootstrap_inner
723
+ self.run()
724
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 1012, in run
725
+ self._target(*self._args, **self._kwargs)
726
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/pin_memory.py", line 61, in _pin_memory_loop
727
+ do_one_step()
728
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/pin_memory.py", line 37, in do_one_step
729
+ r = in_queue.get(timeout=MP_STATUS_CHECK_INTERVAL)
730
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
731
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/queues.py", line 122, in get
732
+ return _ForkingPickler.loads(res)
733
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
734
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/multiprocessing/reductions.py", line 541, in rebuild_storage_fd
735
+ fd = df.detach()
736
+ ^^^^^^^^^^^
737
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/resource_sharer.py", line 57, in detach
738
+ with _resource_sharer.get_connection(self._id) as conn:
739
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
740
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/resource_sharer.py", line 86, in get_connection
741
+ c = Client(address, authkey=process.current_process().authkey)
742
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
743
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 525, in Client
744
+ answer_challenge(c, authkey)
745
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 953, in answer_challenge
746
+ message = connection.recv_bytes(256) # reject large message
747
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
748
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 216, in recv_bytes
749
+ buf = self._recv_bytes(maxlength)
750
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^
751
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 430, in _recv_bytes
752
+ buf = self._recv(4)
753
+ ^^^^^^^^^^^^^
754
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 395, in _recv
755
+ chunk = read(handle, remaining)
756
+ ^^^^^^^^^^^^^^^^^^^^^^^
757
+ ConnectionResetError: [Errno 104] Connection reset by peer
758
+ [rank3]: Traceback (most recent call last):
759
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 414, in <module>
760
+ [rank3]: train(attn_implementation="flash_attention_2")
761
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 378, in train
762
+ [rank3]: trainer.train()
763
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1424, in train
764
+ [rank3]: return inner_training_loop(
765
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^
766
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1506, in _inner_training_loop
767
+ [rank3]: self._run_epoch(
768
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1734, in _run_epoch
769
+ [rank3]: tr_loss_step = self.training_step(model, inputs, num_items_in_batch)
770
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
771
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1906, in training_step
772
+ [rank3]: loss = self.compute_loss(model, inputs, num_items_in_batch=num_items_in_batch)
773
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
774
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1978, in compute_loss
775
+ [rank3]: outputs = model(**inputs)
776
+ [rank3]: ^^^^^^^^^^^^^^^
777
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
778
+ [rank3]: return self._call_impl(*args, **kwargs)
779
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
780
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
781
+ [rank3]: return forward_call(*args, **kwargs)
782
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
783
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/deepspeed/utils/nvtx.py", line 18, in wrapped_fn
784
+ [rank3]: ret_val = func(*args, **kwargs)
785
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^
786
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/deepspeed/runtime/engine.py", line 1987, in forward
787
+ [rank3]: loss = self.module(*inputs, **kwargs)
788
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
789
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
790
+ [rank3]: return self._call_impl(*args, **kwargs)
791
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
792
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
793
+ [rank3]: return forward_call(*args, **kwargs)
794
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
795
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 1077, in forward
796
+ [rank3]: outputs = self.model(
797
+ [rank3]: ^^^^^^^^^^^
798
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
799
+ [rank3]: return self._call_impl(*args, **kwargs)
800
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
801
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
802
+ [rank3]: return forward_call(*args, **kwargs)
803
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
804
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 966, in forward
805
+ [rank3]: geometry_layer_features = self._collect_geometry_layer_features(geometry_encoder_inputs)
806
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
807
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 762, in _collect_geometry_layer_features
808
+ [rank3]: sample_features = self.geometry_encoder.encode_layers_with_mode(
809
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
810
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py", line 647, in encode_layers_with_mode
811
+ [rank3]: return self.encode_layers_streaming(
812
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
813
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py", line 340, in encode_layers_streaming
814
+ [rank3]: output = self.vggt.aggregator(
815
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^
816
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
817
+ [rank3]: return self._call_impl(*args, **kwargs)
818
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
819
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
820
+ [rank3]: return forward_call(*args, **kwargs)
821
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
822
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/models/aggregator.py", line 229, in forward
823
+ [rank3]: patch_tokens = self.patch_embed(images)
824
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^
825
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
826
+ [rank3]: return self._call_impl(*args, **kwargs)
827
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
828
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
829
+ [rank3]: return forward_call(*args, **kwargs)
830
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
831
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/vision_transformer.py", line 326, in forward
832
+ [rank3]: ret = self.forward_features(*args, **kwargs)
833
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
834
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/vision_transformer.py", line 262, in forward_features
835
+ [rank3]: x = blk(x)
836
+ [rank3]: ^^^^^^
837
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
838
+ [rank3]: return self._call_impl(*args, **kwargs)
839
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
840
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
841
+ [rank3]: return forward_call(*args, **kwargs)
842
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
843
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 257, in forward
844
+ [rank3]: return super().forward(x_or_x_list)
845
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
846
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 109, in forward
847
+ [rank3]: x = x + attn_residual_func(x, pos=pos, attn_mask=attn_mask)
848
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
849
+ [rank3]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 82, in attn_residual_func
850
+ [rank3]: return self.ls1(self.attn(self.norm1(x), pos=pos))
851
+ [rank3]: ^^^^^^^^^^^^^
852
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
853
+ [rank3]: return self._call_impl(*args, **kwargs)
854
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
855
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1756, in _call_impl
856
+ [rank3]: forward_call = (self._slow_forward if torch._C._get_tracing_state() else self.forward)
857
+ [rank3]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
858
+ [rank3]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
859
+ [rank3]: _error_if_any_worker_fails()
860
+ [rank3]: RuntimeError: DataLoader worker (pid 2237174) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
861
+ [rank1]: Traceback (most recent call last):
862
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 414, in <module>
863
+ [rank1]: train(attn_implementation="flash_attention_2")
864
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 378, in train
865
+ [rank1]: trainer.train()
866
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1424, in train
867
+ [rank1]: return inner_training_loop(
868
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^
869
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1506, in _inner_training_loop
870
+ [rank1]: self._run_epoch(
871
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1734, in _run_epoch
872
+ [rank1]: tr_loss_step = self.training_step(model, inputs, num_items_in_batch)
873
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
874
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1906, in training_step
875
+ [rank1]: loss = self.compute_loss(model, inputs, num_items_in_batch=num_items_in_batch)
876
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
877
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1978, in compute_loss
878
+ [rank1]: outputs = model(**inputs)
879
+ [rank1]: ^^^^^^^^^^^^^^^
880
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
881
+ [rank1]: return self._call_impl(*args, **kwargs)
882
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
883
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
884
+ [rank1]: return forward_call(*args, **kwargs)
885
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
886
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/deepspeed/utils/nvtx.py", line 18, in wrapped_fn
887
+ [rank1]: ret_val = func(*args, **kwargs)
888
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^
889
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/deepspeed/runtime/engine.py", line 1987, in forward
890
+ [rank1]: loss = self.module(*inputs, **kwargs)
891
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
892
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
893
+ [rank1]: return self._call_impl(*args, **kwargs)
894
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
895
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
896
+ [rank1]: return forward_call(*args, **kwargs)
897
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
898
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 1077, in forward
899
+ [rank1]: outputs = self.model(
900
+ [rank1]: ^^^^^^^^^^^
901
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
902
+ [rank1]: return self._call_impl(*args, **kwargs)
903
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
904
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
905
+ [rank1]: return forward_call(*args, **kwargs)
906
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
907
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 966, in forward
908
+ [rank1]: geometry_layer_features = self._collect_geometry_layer_features(geometry_encoder_inputs)
909
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
910
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 762, in _collect_geometry_layer_features
911
+ [rank1]: sample_features = self.geometry_encoder.encode_layers_with_mode(
912
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
913
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py", line 647, in encode_layers_with_mode
914
+ [rank1]: return self.encode_layers_streaming(
915
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
916
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py", line 340, in encode_layers_streaming
917
+ [rank1]: output = self.vggt.aggregator(
918
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^
919
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
920
+ [rank1]: return self._call_impl(*args, **kwargs)
921
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
922
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
923
+ [rank1]: return forward_call(*args, **kwargs)
924
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
925
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/models/aggregator.py", line 279, in forward
926
+ [rank1]: tokens, frame_idx, frame_intermediates = self._process_frame_attention(
927
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
928
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/models/aggregator.py", line 332, in _process_frame_attention
929
+ [rank1]: tokens = self.frame_blocks[frame_idx](tokens, pos=pos)
930
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
931
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
932
+ [rank1]: return self._call_impl(*args, **kwargs)
933
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
934
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
935
+ [rank1]: return forward_call(*args, **kwargs)
936
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
937
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 109, in forward
938
+ [rank1]: x = x + attn_residual_func(x, pos=pos, attn_mask=attn_mask)
939
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
940
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 82, in attn_residual_func
941
+ [rank1]: return self.ls1(self.attn(self.norm1(x), pos=pos))
942
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
943
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
944
+ [rank1]: return self._call_impl(*args, **kwargs)
945
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
946
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
947
+ [rank1]: return forward_call(*args, **kwargs)
948
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
949
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/attention.py", line 78, in forward
950
+ [rank1]: k = self.rope(k, pos_k)
951
+ [rank1]: ^^^^^^^^^^^^^^^^^^^
952
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
953
+ [rank1]: return self._call_impl(*args, **kwargs)
954
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
955
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
956
+ [rank1]: return forward_call(*args, **kwargs)
957
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
958
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/rope.py", line 184, in forward
959
+ [rank1]: vertical_features = self._apply_1d_rope(vertical_features, positions[..., 0], cos_comp, sin_comp)
960
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
961
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/rope.py", line 152, in _apply_1d_rope
962
+ [rank1]: return (tokens * cos) + (self._rotate_features(tokens) * sin)
963
+ [rank1]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
964
+ [rank1]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/rope.py", line 119, in _rotate_features
965
+ [rank1]: @staticmethod
966
+
967
+ [rank1]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
968
+ [rank1]: _error_if_any_worker_fails()
969
+ [rank1]: RuntimeError: DataLoader worker (pid 2237177) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
970
+ [rank2]: Traceback (most recent call last):
971
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 414, in <module>
972
+ [rank2]: train(attn_implementation="flash_attention_2")
973
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/train/train_qwen.py", line 378, in train
974
+ [rank2]: trainer.train()
975
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1424, in train
976
+ [rank2]: return inner_training_loop(
977
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^
978
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1506, in _inner_training_loop
979
+ [rank2]: self._run_epoch(
980
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1734, in _run_epoch
981
+ [rank2]: tr_loss_step = self.training_step(model, inputs, num_items_in_batch)
982
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
983
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1906, in training_step
984
+ [rank2]: loss = self.compute_loss(model, inputs, num_items_in_batch=num_items_in_batch)
985
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
986
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/transformers/trainer.py", line 1978, in compute_loss
987
+ [rank2]: outputs = model(**inputs)
988
+ [rank2]: ^^^^^^^^^^^^^^^
989
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
990
+ [rank2]: return self._call_impl(*args, **kwargs)
991
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
992
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
993
+ [rank2]: return forward_call(*args, **kwargs)
994
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
995
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/deepspeed/utils/nvtx.py", line 18, in wrapped_fn
996
+ [rank2]: ret_val = func(*args, **kwargs)
997
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^
998
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/deepspeed/runtime/engine.py", line 1987, in forward
999
+ [rank2]: loss = self.module(*inputs, **kwargs)
1000
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1001
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
1002
+ [rank2]: return self._call_impl(*args, **kwargs)
1003
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1004
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
1005
+ [rank2]: return forward_call(*args, **kwargs)
1006
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1007
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 1077, in forward
1008
+ [rank2]: outputs = self.model(
1009
+ [rank2]: ^^^^^^^^^^^
1010
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
1011
+ [rank2]: return self._call_impl(*args, **kwargs)
1012
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1013
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
1014
+ [rank2]: return forward_call(*args, **kwargs)
1015
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1016
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 966, in forward
1017
+ [rank2]: geometry_layer_features = self._collect_geometry_layer_features(geometry_encoder_inputs)
1018
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1019
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/modeling_qwen3_5.py", line 762, in _collect_geometry_layer_features
1020
+ [rank2]: sample_features = self.geometry_encoder.encode_layers_with_mode(
1021
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1022
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py", line 647, in encode_layers_with_mode
1023
+ [rank2]: return self.encode_layers_streaming(
1024
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1025
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/geometry_encoders/vggt_encoder.py", line 340, in encode_layers_streaming
1026
+ [rank2]: output = self.vggt.aggregator(
1027
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^
1028
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
1029
+ [rank2]: return self._call_impl(*args, **kwargs)
1030
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1031
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
1032
+ [rank2]: return forward_call(*args, **kwargs)
1033
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1034
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/models/aggregator.py", line 279, in forward
1035
+ [rank2]: tokens, frame_idx, frame_intermediates = self._process_frame_attention(
1036
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1037
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/models/aggregator.py", line 332, in _process_frame_attention
1038
+ [rank2]: tokens = self.frame_blocks[frame_idx](tokens, pos=pos)
1039
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1040
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
1041
+ [rank2]: return self._call_impl(*args, **kwargs)
1042
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1043
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
1044
+ [rank2]: return forward_call(*args, **kwargs)
1045
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1046
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 110, in forward
1047
+ [rank2]: x = x + ffn_residual_func(x)
1048
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^
1049
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/block.py", line 84, in ffn_residual_func
1050
+ [rank2]: return self.ls2(self.mlp(self.norm2(x)))
1051
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^
1052
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
1053
+ [rank2]: return self._call_impl(*args, **kwargs)
1054
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1055
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
1056
+ [rank2]: return forward_call(*args, **kwargs)
1057
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1058
+ [rank2]: File "/home/dungpq6/Project/SpatialStack/src/qwen_vl/model/vggt/layers/mlp.py", line 38, in forward
1059
+ [rank2]: x = self.fc2(x)
1060
+ [rank2]: ^^^^^^^^^^^
1061
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1751, in _wrapped_call_impl
1062
+ [rank2]: return self._call_impl(*args, **kwargs)
1063
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1064
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1762, in _call_impl
1065
+ [rank2]: return forward_call(*args, **kwargs)
1066
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1067
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/nn/modules/linear.py", line 125, in forward
1068
+ [rank2]: return F.linear(input, self.weight, self.bias)
1069
+ [rank2]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1070
+ [rank2]: File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
1071
+ [rank2]: _error_if_any_worker_fails()
1072
+ [rank2]: RuntimeError: DataLoader worker (pid 2237181) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
1073
+ Exception in thread Thread-2 (_pin_memory_loop):
1074
+ Traceback (most recent call last):
1075
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 1075, in _bootstrap_inner
1076
+ self.run()
1077
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 1012, in run
1078
+ self._target(*self._args, **self._kwargs)
1079
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/pin_memory.py", line 61, in _pin_memory_loop
1080
+ do_one_step()
1081
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/pin_memory.py", line 37, in do_one_step
1082
+ r = in_queue.get(timeout=MP_STATUS_CHECK_INTERVAL)
1083
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1084
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/queues.py", line 122, in get
1085
+ return _ForkingPickler.loads(res)
1086
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
1087
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/multiprocessing/reductions.py", line 541, in rebuild_storage_fd
1088
+ fd = df.detach()
1089
+ ^^^^^^^^^^^
1090
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/resource_sharer.py", line 57, in detach
1091
+ with _resource_sharer.get_connection(self._id) as conn:
1092
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1093
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/resource_sharer.py", line 86, in get_connection
1094
+ c = Client(address, authkey=process.current_process().authkey)
1095
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1096
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 519, in Client
1097
+ c = SocketClient(address)
1098
+ ^^^^^^^^^^^^^^^^^^^^^
1099
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 647, in SocketClient
1100
+ s.connect(address)
1101
+ ConnectionRefusedError: [Errno 111] Connection refused
1102
+ Exception in thread Thread-2 (_pin_memory_loop):
1103
+ Traceback (most recent call last):
1104
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 1075, in _bootstrap_inner
1105
+ self.run()
1106
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/threading.py", line 1012, in run
1107
+ self._target(*self._args, **self._kwargs)
1108
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/pin_memory.py", line 61, in _pin_memory_loop
1109
+ do_one_step()
1110
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/utils/data/_utils/pin_memory.py", line 37, in do_one_step
1111
+ r = in_queue.get(timeout=MP_STATUS_CHECK_INTERVAL)
1112
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1113
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/queues.py", line 122, in get
1114
+ return _ForkingPickler.loads(res)
1115
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
1116
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/multiprocessing/reductions.py", line 541, in rebuild_storage_fd
1117
+ fd = df.detach()
1118
+ ^^^^^^^^^^^
1119
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/resource_sharer.py", line 57, in detach
1120
+ with _resource_sharer.get_connection(self._id) as conn:
1121
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1122
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/resource_sharer.py", line 86, in get_connection
1123
+ c = Client(address, authkey=process.current_process().authkey)
1124
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1125
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 519, in Client
1126
+ c = SocketClient(address)
1127
+ ^^^^^^^^^^^^^^^^^^^^^
1128
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/multiprocessing/connection.py", line 647, in SocketClient
1129
+ s.connect(address)
1130
+ ConnectionRefusedError: [Errno 111] Connection refused
1131
+
1132
  0%| | 0/50 [00:32<?, ?it/s]
1133
+ [rank0]:[W918 03:41:46.838099179 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())
1134
+ W0918 03:41:49.020000 2236402 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2236406 closing signal SIGTERM
1135
+ W0918 03:41:49.021000 2236402 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2236407 closing signal SIGTERM
1136
+ W0918 03:41:49.023000 2236402 site-packages/torch/distributed/elastic/multiprocessing/api.py:900] Sending process 2236408 closing signal SIGTERM
1137
+ E0918 03:41:55.404000 2236402 site-packages/torch/distributed/elastic/multiprocessing/api.py:874] failed (exitcode: 1) local_rank: 0 (pid: 2236405) of binary: /home/dungpq6/anaconda3/envs/spatialstack-qwen35/bin/python3.12
1138
+ Traceback (most recent call last):
1139
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/bin/torchrun", line 6, in <module>
1140
+ sys.exit(main())
1141
+ ^^^^^^
1142
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
1143
+ return f(*args, **kwargs)
1144
+ ^^^^^^^^^^^^^^^^^^
1145
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/run.py", line 892, in main
1146
+ run(args)
1147
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/run.py", line 883, in run
1148
+ elastic_launch(
1149
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 139, in __call__
1150
+ return launch_agent(self._config, self._entrypoint, list(args))
1151
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1152
+ File "/home/dungpq6/anaconda3/envs/spatialstack-qwen35/lib/python3.12/site-packages/torch/distributed/launcher/api.py", line 270, in launch_agent
1153
+ raise ChildFailedError(
1154
+ torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
1155
+ ============================================================
1156
+ src/qwen_vl/train/train_qwen.py FAILED
1157
+ ------------------------------------------------------------
1158
+ Failures:
1159
+ <NO_OTHER_FAILURES>
1160
+ ------------------------------------------------------------
1161
+ Root Cause (first observed failure):
1162
+ [0]:
1163
+ time : 2026-09-18_03:41:49
1164
+ host : worker-1.fpt-hpc-worker-svc.fpt-hpc.svc.cluster.local
1165
+ rank : 0 (local_rank: 0)
1166
+ exitcode : 1 (pid: 2236405)
1167
+ error_file: <N/A>
1168
+ traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
1169
+ ============================================================
speed_fixed_bs2/train.log ADDED
@@ -0,0 +1,905 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (2, 3, 420, 560)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  2%|▏ | 1/50 [00:48<39:23, 48.24s/it][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": 28.053, "device_total_GiB": 79.189}
 
 
 
 
2
  4%|▍ | 2/50 [01:03<23:05, 28.87s/it][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": 27.751, "device_total_GiB": 79.189}
 
3
  6%|β–Œ | 3/50 [01:18<17:45, 22.67s/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": 26.862, "device_total_GiB": 79.189}
 
 
 
 
 
 
4
  8%|β–Š | 4/50 [01:41<17:30, 22.84s/it][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": 28.053, "device_total_GiB": 79.189}
 
 
 
5
  10%|β–ˆ | 5/50 [01:57<15:02, 20.05s/it][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": 28.053, "device_total_GiB": 79.189}
 
 
 
 
6
  12%|β–ˆβ– | 6/50 [02:12<13:26, 18.33s/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": 26.86, "device_total_GiB": 79.189}
 
 
 
 
 
 
7
  14%|β–ˆβ– | 7/50 [02:27<12:22, 17.26s/it][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": 27.751, "device_total_GiB": 79.189}
 
 
8
  16%|β–ˆβ–Œ | 8/50 [02:42<11:36, 16.58s/it][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": 28.188, "device_total_GiB": 79.189}
 
 
 
 
 
 
9
  18%|β–ˆβ–Š | 9/50 [02:57<11:00, 16.11s/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": 28.188, "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": 28.053, "device_total_GiB": 79.189}
 
 
 
 
10
  20%|β–ˆβ–ˆ | 10/50 [03:12<10:33, 15.83s/it][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": 27.278, "device_total_GiB": 79.189}
 
 
11
 
 
 
12
  20%|β–ˆβ–ˆ | 10/50 [03:12<10:33, 15.83s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
 
13
  22%|β–ˆβ–ˆβ– | 11/50 [03:28<10:19, 15.89s/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": 27.716, "device_total_GiB": 79.189}
 
 
 
14
  24%|β–ˆβ–ˆβ– | 12/50 [03:43<09:53, 15.62s/it][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": 27.581, "device_total_GiB": 79.189}
 
 
 
 
15
  26%|β–ˆβ–ˆβ–Œ | 13/50 [04:01<10:03, 16.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
16
  28%|β–ˆβ–ˆβ–Š | 14/50 [04:25<11:08, 18.58s/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": 27.581, "device_total_GiB": 79.189}
 
 
 
 
17
  30%|β–ˆβ–ˆβ–ˆ | 15/50 [04:40<10:12, 17.50s/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": 27.716, "device_total_GiB": 79.189}
 
 
 
 
18
  32%|β–ˆβ–ˆβ–ˆβ– | 16/50 [04:55<09:30, 16.77s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
19
  34%|β–ˆβ–ˆβ–ˆβ– | 17/50 [05:10<08:57, 16.29s/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": 27.581, "device_total_GiB": 79.189}
 
 
 
 
 
 
20
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 18/50 [05:25<08:30, 15.97s/it][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": 27.581, "device_total_GiB": 79.189}
 
 
 
 
21
  38%|β–ˆβ–ˆβ–ˆβ–Š | 19/50 [05:40<08:05, 15.67s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
22
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:55<07:45, 15.51s/it][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": 27.716, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
23
 
 
24
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:55<07:45, 15.51s/it][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": 27.716, "device_total_GiB": 79.189}
 
 
25
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 21/50 [06:10<07:24, 15.32s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
26
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 22/50 [06:26<07:08, 15.32s/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": 27.581, "device_total_GiB": 79.189}
 
 
 
 
27
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 23/50 [06:41<06:51, 15.23s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
 
28
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/50 [06:56<06:38, 15.33s/it][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": 27.122, "device_total_GiB": 79.189}
 
 
 
 
29
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 25/50 [07:11<06:21, 15.28s/it][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": 27.122, "device_total_GiB": 79.189}
 
 
 
30
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 26/50 [07:26<06:05, 15.23s/it][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": 27.581, "device_total_GiB": 79.189}
 
 
 
31
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 27/50 [07:42<05:51, 15.27s/it][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": 27.122, "device_total_GiB": 79.189}
 
 
 
 
 
 
32
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 28/50 [07:57<05:36, 15.30s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
33
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 29/50 [08:12<05:20, 15.28s/it][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": 27.122, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
34
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:28<05:06, 15.32s/it][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": 27.581, "device_total_GiB": 79.189}
 
 
 
 
35
 
 
36
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:28<05:06, 15.32s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
 
 
 
37
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/50 [08:43<04:50, 15.29s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
38
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/50 [08:58<04:35, 15.30s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.163, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
 
 
 
 
 
39
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 33/50 [09:13<04:18, 15.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
 
 
40
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 34/50 [09:29<04:04, 15.29s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
 
 
41
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 35/50 [09:44<03:48, 15.24s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
 
 
 
 
 
42
  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36/50 [09:59<03:33, 15.26s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 37, "allocated_GiB": 24.229, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
 
 
43
  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/50 [10:15<03:19, 15.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 37, "allocated_GiB": 24.249, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.495, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
 
 
44
  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 38/50 [10:30<03:02, 15.24s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.172, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
 
 
 
 
45
  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/50 [10:45<02:47, 15.20s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
 
 
 
 
46
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [11:00<02:31, 15.17s/it][TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 40, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
 
 
 
 
47
 
 
48
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [11:00<02:31, 15.17s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 41, "allocated_GiB": 24.2, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
 
 
 
 
49
  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/50 [11:15<02:16, 15.15s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 42, "allocated_GiB": 24.239, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.498, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 42, "allocated_GiB": 24.248, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.567, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
 
 
 
50
  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 42/50 [11:30<02:00, 15.12s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
 
51
  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/50 [11:45<01:46, 15.17s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 44, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
 
 
52
  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 44/50 [12:00<01:30, 15.09s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
 
 
 
 
 
53
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 45/50 [12:16<01:15, 15.13s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
 
54
  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 46/50 [12:31<01:00, 15.12s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 47, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
 
55
  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 47/50 [12:46<00:45, 15.13s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 48, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
 
 
 
56
  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 48/50 [13:01<00:30, 15.17s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 48, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
 
 
 
57
  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 49/50 [13:16<00:15, 15.13s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 49, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
 
 
 
58
 
 
 
 
 
 
 
 
59
 
 
 
 
 
 
1
+ [INFO] Running in WANDB offline mode
2
+ [INFO] Running in WANDB offline mode
3
+ [INFO] Running in WANDB offline mode
4
+ [INFO] Running in WANDB offline mode
5
+ Trainer._get_train_sampler replaced with custom implementation.
6
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
7
+ Trainer._get_train_sampler replaced with custom implementation.
8
+ [2026-09-18 02:47:57,400] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
9
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
10
+ [2026-09-18 02:47:57,440] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
11
+ Trainer._get_train_sampler replaced with custom implementation.
12
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
13
+ [2026-09-18 02:47:57,599] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
14
+ [2026-09-18 02:47:57,720] [INFO] [comm.py:658:init_distributed] cdb=None
15
+ Trainer._get_train_sampler replaced with custom implementation.
16
+ [2026-09-18 02:47:57,761] [INFO] [comm.py:658:init_distributed] cdb=None
17
+ [2026-09-18 02:47:57,761] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
18
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
19
+ [2026-09-18 02:47:57,797] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
20
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
21
+ [2026-09-18 02:47:57,952] [INFO] [comm.py:658:init_distributed] cdb=None
22
+ [2026-09-18 02:47:58,104] [INFO] [comm.py:658:init_distributed] cdb=None
23
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
24
+
25
+
26
+
27
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
28
+
29
+
30
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
31
+ [FeatureFusion] geometry fusion delta scaled by 0.5
32
+ [FeatureFusion] importance gate ENABLED on geometry delta
33
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
34
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
35
+ [FeatureFusion] geometry fusion delta scaled by 0.5
36
+ [FeatureFusion] importance gate ENABLED on geometry delta
37
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
38
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
39
+ [FeatureFusion] geometry fusion delta scaled by 0.5
40
+ [FeatureFusion] importance gate ENABLED on geometry delta
41
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
42
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
43
+ [FeatureFusion] geometry fusion delta scaled by 0.5
44
+ [FeatureFusion] importance gate ENABLED on geometry delta
45
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
46
+ Loading weights from local directory
47
+ Loading weights from local directory
48
+ Loading weights from local directory
49
+ Loading weights from local directory
50
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
51
+ Qwen3_5Config {
52
+ "architectures": [
53
+ "Qwen3_5ForConditionalGeneration"
54
+ ],
55
+ "dtype": "bfloat16",
56
+ "feature_fusion_method": "deepstack_language_add",
57
+ "fusion_num_layers": 1,
58
+ "geometry_encoder_layers": [
59
+ 11,
60
+ 17,
61
+ 23
62
+ ],
63
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
64
+ "geometry_encoder_streaming": true,
65
+ "geometry_encoder_type": "vggt",
66
+ "geometry_frame_strict": true,
67
+ "geometry_fusion_layers": [
68
+ 0,
69
+ 1,
70
+ 2
71
+ ],
72
+ "geometry_fusion_scale": 0.5,
73
+ "geometry_importance_gate": true,
74
+ "geometry_learnable_scale": true,
75
+ "geometry_merger_type": "mlp",
76
+ "geometry_spatial_bias": false,
77
+ "image_token_id": 248056,
78
+ "include_camera_token": false,
79
+ "model_type": "qwen3_5",
80
+ "pos_encoding_type": "none",
81
+ "reference_frame": "first",
82
+ "supervised_token_loss": true,
83
+ "text_config": {
84
+ "attention_bias": false,
85
+ "attention_dropout": 0.0,
86
+ "attn_output_gate": true,
87
+ "bos_token_id": null,
88
+ "dtype": "bfloat16",
89
+ "eos_token_id": 248044,
90
+ "full_attention_interval": 4,
91
+ "head_dim": 256,
92
+ "hidden_act": "silu",
93
+ "hidden_size": 2560,
94
+ "initializer_range": 0.02,
95
+ "intermediate_size": 9216,
96
+ "layer_types": [
97
+ "linear_attention",
98
+ "linear_attention",
99
+ "linear_attention",
100
+ "full_attention",
101
+ "linear_attention",
102
+ "linear_attention",
103
+ "linear_attention",
104
+ "full_attention",
105
+ "linear_attention",
106
+ "linear_attention",
107
+ "linear_attention",
108
+ "full_attention",
109
+ "linear_attention",
110
+ "linear_attention",
111
+ "linear_attention",
112
+ "full_attention",
113
+ "linear_attention",
114
+ "linear_attention",
115
+ "linear_attention",
116
+ "full_attention",
117
+ "linear_attention",
118
+ "linear_attention",
119
+ "linear_attention",
120
+ "full_attention",
121
+ "linear_attention",
122
+ "linear_attention",
123
+ "linear_attention",
124
+ "full_attention",
125
+ "linear_attention",
126
+ "linear_attention",
127
+ "linear_attention",
128
+ "full_attention"
129
+ ],
130
+ "linear_conv_kernel_dim": 4,
131
+ "linear_key_head_dim": 128,
132
+ "linear_num_key_heads": 16,
133
+ "linear_num_value_heads": 32,
134
+ "linear_value_head_dim": 128,
135
+ "mamba_ssm_dtype": "float32",
136
+ "max_position_embeddings": 262144,
137
+ "mlp_only_layers": [],
138
+ "model_type": "qwen3_5_text",
139
+ "mtp_num_hidden_layers": 1,
140
+ "mtp_use_dedicated_embeddings": false,
141
+ "num_attention_heads": 16,
142
+ "num_hidden_layers": 32,
143
+ "num_key_value_heads": 4,
144
+ "pad_token_id": null,
145
+ "partial_rotary_factor": 0.25,
146
+ "rms_norm_eps": 1e-06,
147
+ "rope_parameters": {
148
+ "mrope_interleaved": true,
149
+ "mrope_section": [
150
+ 11,
151
+ 11,
152
+ 10
153
+ ],
154
+ "partial_rotary_factor": 0.25,
155
+ "rope_theta": 10000000,
156
+ "rope_type": "default"
157
+ },
158
+ "tie_word_embeddings": true,
159
+ "use_cache": true,
160
+ "vocab_size": 248320
161
+ },
162
+ "tie_word_embeddings": true,
163
+ "transformers_version": "5.3.0",
164
+ "use_cache": false,
165
+ "use_geometry_encoder": true,
166
+ "video_token_id": 248057,
167
+ "vision_config": {
168
+ "deepstack_visual_indexes": [],
169
+ "depth": 24,
170
+ "dtype": "bfloat16",
171
+ "hidden_act": "gelu_pytorch_tanh",
172
+ "hidden_size": 1024,
173
+ "in_channels": 3,
174
+ "initializer_range": 0.02,
175
+ "intermediate_size": 4096,
176
+ "model_type": "qwen3_5",
177
+ "num_heads": 16,
178
+ "num_position_embeddings": 2304,
179
+ "out_hidden_size": 2560,
180
+ "patch_size": 16,
181
+ "spatial_merge_size": 2,
182
+ "temporal_patch_size": 2
183
+ },
184
+ "vision_end_token_id": 248054,
185
+ "vision_language_fusion_layers": null,
186
+ "vision_start_token_id": 248053
187
+ }
188
+
189
+ 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'}]
190
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
191
+ Vision Module - Attention Blocks:
192
+ Trainable Block Indices: None
193
+ 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]
194
+ Merger Module Trainable: True
195
+ LLM Module - Embed Tokens Trainable: True
196
+ 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]
197
+ LLM Module - Non-Trainable Layer Indices: None
198
+ Qwen3_5Config {
199
+ "architectures": [
200
+ "Qwen3_5ForConditionalGeneration"
201
+ ],
202
+ "dtype": "bfloat16",
203
+ "feature_fusion_method": "deepstack_language_add",
204
+ "fusion_num_layers": 1,
205
+ "geometry_encoder_layers": [
206
+ 11,
207
+ 17,
208
+ 23
209
+ ],
210
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
211
+ "geometry_encoder_streaming": true,
212
+ "geometry_encoder_type": "vggt",
213
+ "geometry_frame_strict": true,
214
+ "geometry_fusion_layers": [
215
+ 0,
216
+ 1,
217
+ 2
218
+ ],
219
+ "geometry_fusion_scale": 0.5,
220
+ "geometry_importance_gate": true,
221
+ "geometry_learnable_scale": true,
222
+ "geometry_merger_type": "mlp",
223
+ "geometry_spatial_bias": false,
224
+ "image_token_id": 248056,
225
+ "include_camera_token": false,
226
+ "model_type": "qwen3_5",
227
+ "pos_encoding_type": "none",
228
+ "reference_frame": "first",
229
+ "supervised_token_loss": true,
230
+ "text_config": {
231
+ "attention_bias": false,
232
+ "attention_dropout": 0.0,
233
+ "attn_output_gate": true,
234
+ "bos_token_id": null,
235
+ "dtype": "bfloat16",
236
+ "eos_token_id": 248044,
237
+ "full_attention_interval": 4,
238
+ "head_dim": 256,
239
+ "hidden_act": "silu",
240
+ "hidden_size": 2560,
241
+ "initializer_range": 0.02,
242
+ "intermediate_size": 9216,
243
+ "layer_types": [
244
+ "linear_attention",
245
+ "linear_attention",
246
+ "linear_attention",
247
+ "full_attention",
248
+ "linear_attention",
249
+ "linear_attention",
250
+ "linear_attention",
251
+ "full_attention",
252
+ "linear_attention",
253
+ "linear_attention",
254
+ "linear_attention",
255
+ "full_attention",
256
+ "linear_attention",
257
+ "linear_attention",
258
+ "linear_attention",
259
+ "full_attention",
260
+ "linear_attention",
261
+ "linear_attention",
262
+ "linear_attention",
263
+ "full_attention",
264
+ "linear_attention",
265
+ "linear_attention",
266
+ "linear_attention",
267
+ "full_attention",
268
+ "linear_attention",
269
+ "linear_attention",
270
+ "linear_attention",
271
+ "full_attention",
272
+ "linear_attention",
273
+ "linear_attention",
274
+ "linear_attention",
275
+ "full_attention"
276
+ ],
277
+ "linear_conv_kernel_dim": 4,
278
+ "linear_key_head_dim": 128,
279
+ "linear_num_key_heads": 16,
280
+ "linear_num_value_heads": 32,
281
+ "linear_value_head_dim": 128,
282
+ "mamba_ssm_dtype": "float32",
283
+ "max_position_embeddings": 262144,
284
+ "mlp_only_layers": [],
285
+ "model_type": "qwen3_5_text",
286
+ "mtp_num_hidden_layers": 1,
287
+ "mtp_use_dedicated_embeddings": false,
288
+ "num_attention_heads": 16,
289
+ "num_hidden_layers": 32,
290
+ "num_key_value_heads": 4,
291
+ "pad_token_id": null,
292
+ "partial_rotary_factor": 0.25,
293
+ "rms_norm_eps": 1e-06,
294
+ "rope_parameters": {
295
+ "mrope_interleaved": true,
296
+ "mrope_section": [
297
+ 11,
298
+ 11,
299
+ 10
300
+ ],
301
+ "partial_rotary_factor": 0.25,
302
+ "rope_theta": 10000000,
303
+ "rope_type": "default"
304
+ },
305
+ "tie_word_embeddings": true,
306
+ "use_cache": true,
307
+ "vocab_size": 248320
308
+ },
309
+ "tie_word_embeddings": true,
310
+ "transformers_version": "5.3.0",
311
+ "use_cache": false,
312
+ "use_geometry_encoder": true,
313
+ "video_token_id": 248057,
314
+ "vision_config": {
315
+ "deepstack_visual_indexes": [],
316
+ "depth": 24,
317
+ "dtype": "bfloat16",
318
+ "hidden_act": "gelu_pytorch_tanh",
319
+ "hidden_size": 1024,
320
+ "in_channels": 3,
321
+ "initializer_range": 0.02,
322
+ "intermediate_size": 4096,
323
+ "model_type": "qwen3_5",
324
+ "num_heads": 16,
325
+ "num_position_embeddings": 2304,
326
+ "out_hidden_size": 2560,
327
+ "patch_size": 16,
328
+ "spatial_merge_size": 2,
329
+ "temporal_patch_size": 2
330
+ },
331
+ "vision_end_token_id": 248054,
332
+ "vision_language_fusion_layers": null,
333
+ "vision_start_token_id": 248053
334
+ }
335
+
336
+ 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'}]
337
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
338
+ Qwen3_5Config {
339
+ "architectures": [
340
+ "Qwen3_5ForConditionalGeneration"
341
+ ],
342
+ "dtype": "bfloat16",
343
+ "feature_fusion_method": "deepstack_language_add",
344
+ "fusion_num_layers": 1,
345
+ "geometry_encoder_layers": [
346
+ 11,
347
+ 17,
348
+ 23
349
+ ],
350
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
351
+ "geometry_encoder_streaming": true,
352
+ "geometry_encoder_type": "vggt",
353
+ "geometry_frame_strict": true,
354
+ "geometry_fusion_layers": [
355
+ 0,
356
+ 1,
357
+ 2
358
+ ],
359
+ "geometry_fusion_scale": 0.5,
360
+ "geometry_importance_gate": true,
361
+ "geometry_learnable_scale": true,
362
+ "geometry_merger_type": "mlp",
363
+ "geometry_spatial_bias": false,
364
+ "image_token_id": 248056,
365
+ "include_camera_token": false,
366
+ "model_type": "qwen3_5",
367
+ "pos_encoding_type": "none",
368
+ "reference_frame": "first",
369
+ "supervised_token_loss": true,
370
+ "text_config": {
371
+ "attention_bias": false,
372
+ "attention_dropout": 0.0,
373
+ "attn_output_gate": true,
374
+ "bos_token_id": null,
375
+ "dtype": "bfloat16",
376
+ "eos_token_id": 248044,
377
+ "full_attention_interval": 4,
378
+ "head_dim": 256,
379
+ "hidden_act": "silu",
380
+ "hidden_size": 2560,
381
+ "initializer_range": 0.02,
382
+ "intermediate_size": 9216,
383
+ "layer_types": [
384
+ "linear_attention",
385
+ "linear_attention",
386
+ "linear_attention",
387
+ "full_attention",
388
+ "linear_attention",
389
+ "linear_attention",
390
+ "linear_attention",
391
+ "full_attention",
392
+ "linear_attention",
393
+ "linear_attention",
394
+ "linear_attention",
395
+ "full_attention",
396
+ "linear_attention",
397
+ "linear_attention",
398
+ "linear_attention",
399
+ "full_attention",
400
+ "linear_attention",
401
+ "linear_attention",
402
+ "linear_attention",
403
+ "full_attention",
404
+ "linear_attention",
405
+ "linear_attention",
406
+ "linear_attention",
407
+ "full_attention",
408
+ "linear_attention",
409
+ "linear_attention",
410
+ "linear_attention",
411
+ "full_attention",
412
+ "linear_attention",
413
+ "linear_attention",
414
+ "linear_attention",
415
+ "full_attention"
416
+ ],
417
+ "linear_conv_kernel_dim": 4,
418
+ "linear_key_head_dim": 128,
419
+ "linear_num_key_heads": 16,
420
+ "linear_num_value_heads": 32,
421
+ "linear_value_head_dim": 128,
422
+ "mamba_ssm_dtype": "float32",
423
+ "max_position_embeddings": 262144,
424
+ "mlp_only_layers": [],
425
+ "model_type": "qwen3_5_text",
426
+ "mtp_num_hidden_layers": 1,
427
+ "mtp_use_dedicated_embeddings": false,
428
+ "num_attention_heads": 16,
429
+ "num_hidden_layers": 32,
430
+ "num_key_value_heads": 4,
431
+ "pad_token_id": null,
432
+ "partial_rotary_factor": 0.25,
433
+ "rms_norm_eps": 1e-06,
434
+ "rope_parameters": {
435
+ "mrope_interleaved": true,
436
+ "mrope_section": [
437
+ 11,
438
+ 11,
439
+ 10
440
+ ],
441
+ "partial_rotary_factor": 0.25,
442
+ "rope_theta": 10000000,
443
+ "rope_type": "default"
444
+ },
445
+ "tie_word_embeddings": true,
446
+ "use_cache": true,
447
+ "vocab_size": 248320
448
+ },
449
+ "tie_word_embeddings": true,
450
+ "transformers_version": "5.3.0",
451
+ "use_cache": false,
452
+ "use_geometry_encoder": true,
453
+ "video_token_id": 248057,
454
+ "vision_config": {
455
+ "deepstack_visual_indexes": [],
456
+ "depth": 24,
457
+ "dtype": "bfloat16",
458
+ "hidden_act": "gelu_pytorch_tanh",
459
+ "hidden_size": 1024,
460
+ "in_channels": 3,
461
+ "initializer_range": 0.02,
462
+ "intermediate_size": 4096,
463
+ "model_type": "qwen3_5",
464
+ "num_heads": 16,
465
+ "num_position_embeddings": 2304,
466
+ "out_hidden_size": 2560,
467
+ "patch_size": 16,
468
+ "spatial_merge_size": 2,
469
+ "temporal_patch_size": 2
470
+ },
471
+ "vision_end_token_id": 248054,
472
+ "vision_language_fusion_layers": null,
473
+ "vision_start_token_id": 248053
474
+ }
475
+
476
+ 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'}]
477
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
478
+ Qwen3_5Config {
479
+ "architectures": [
480
+ "Qwen3_5ForConditionalGeneration"
481
+ ],
482
+ "dtype": "bfloat16",
483
+ "feature_fusion_method": "deepstack_language_add",
484
+ "fusion_num_layers": 1,
485
+ "geometry_encoder_layers": [
486
+ 11,
487
+ 17,
488
+ 23
489
+ ],
490
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
491
+ "geometry_encoder_streaming": true,
492
+ "geometry_encoder_type": "vggt",
493
+ "geometry_frame_strict": true,
494
+ "geometry_fusion_layers": [
495
+ 0,
496
+ 1,
497
+ 2
498
+ ],
499
+ "geometry_fusion_scale": 0.5,
500
+ "geometry_importance_gate": true,
501
+ "geometry_learnable_scale": true,
502
+ "geometry_merger_type": "mlp",
503
+ "geometry_spatial_bias": false,
504
+ "image_token_id": 248056,
505
+ "include_camera_token": false,
506
+ "model_type": "qwen3_5",
507
+ "pos_encoding_type": "none",
508
+ "reference_frame": "first",
509
+ "supervised_token_loss": true,
510
+ "text_config": {
511
+ "attention_bias": false,
512
+ "attention_dropout": 0.0,
513
+ "attn_output_gate": true,
514
+ "bos_token_id": null,
515
+ "dtype": "bfloat16",
516
+ "eos_token_id": 248044,
517
+ "full_attention_interval": 4,
518
+ "head_dim": 256,
519
+ "hidden_act": "silu",
520
+ "hidden_size": 2560,
521
+ "initializer_range": 0.02,
522
+ "intermediate_size": 9216,
523
+ "layer_types": [
524
+ "linear_attention",
525
+ "linear_attention",
526
+ "linear_attention",
527
+ "full_attention",
528
+ "linear_attention",
529
+ "linear_attention",
530
+ "linear_attention",
531
+ "full_attention",
532
+ "linear_attention",
533
+ "linear_attention",
534
+ "linear_attention",
535
+ "full_attention",
536
+ "linear_attention",
537
+ "linear_attention",
538
+ "linear_attention",
539
+ "full_attention",
540
+ "linear_attention",
541
+ "linear_attention",
542
+ "linear_attention",
543
+ "full_attention",
544
+ "linear_attention",
545
+ "linear_attention",
546
+ "linear_attention",
547
+ "full_attention",
548
+ "linear_attention",
549
+ "linear_attention",
550
+ "linear_attention",
551
+ "full_attention",
552
+ "linear_attention",
553
+ "linear_attention",
554
+ "linear_attention",
555
+ "full_attention"
556
+ ],
557
+ "linear_conv_kernel_dim": 4,
558
+ "linear_key_head_dim": 128,
559
+ "linear_num_key_heads": 16,
560
+ "linear_num_value_heads": 32,
561
+ "linear_value_head_dim": 128,
562
+ "mamba_ssm_dtype": "float32",
563
+ "max_position_embeddings": 262144,
564
+ "mlp_only_layers": [],
565
+ "model_type": "qwen3_5_text",
566
+ "mtp_num_hidden_layers": 1,
567
+ "mtp_use_dedicated_embeddings": false,
568
+ "num_attention_heads": 16,
569
+ "num_hidden_layers": 32,
570
+ "num_key_value_heads": 4,
571
+ "pad_token_id": null,
572
+ "partial_rotary_factor": 0.25,
573
+ "rms_norm_eps": 1e-06,
574
+ "rope_parameters": {
575
+ "mrope_interleaved": true,
576
+ "mrope_section": [
577
+ 11,
578
+ 11,
579
+ 10
580
+ ],
581
+ "partial_rotary_factor": 0.25,
582
+ "rope_theta": 10000000,
583
+ "rope_type": "default"
584
+ },
585
+ "tie_word_embeddings": true,
586
+ "use_cache": true,
587
+ "vocab_size": 248320
588
+ },
589
+ "tie_word_embeddings": true,
590
+ "transformers_version": "5.3.0",
591
+ "use_cache": false,
592
+ "use_geometry_encoder": true,
593
+ "video_token_id": 248057,
594
+ "vision_config": {
595
+ "deepstack_visual_indexes": [],
596
+ "depth": 24,
597
+ "dtype": "bfloat16",
598
+ "hidden_act": "gelu_pytorch_tanh",
599
+ "hidden_size": 1024,
600
+ "in_channels": 3,
601
+ "initializer_range": 0.02,
602
+ "intermediate_size": 4096,
603
+ "model_type": "qwen3_5",
604
+ "num_heads": 16,
605
+ "num_position_embeddings": 2304,
606
+ "out_hidden_size": 2560,
607
+ "patch_size": 16,
608
+ "spatial_merge_size": 2,
609
+ "temporal_patch_size": 2
610
+ },
611
+ "vision_end_token_id": 248054,
612
+ "vision_language_fusion_layers": null,
613
+ "vision_start_token_id": 248053
614
+ }
615
+
616
+ 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'}]
617
+ Total training samples: 2429620
618
+ Total training samples: 2429620
619
+ Total training samples: 2429620
620
+ Total training samples: 2429620
621
+ Formatting inputs...Skip in lazy mode
622
+ Formatting inputs...Skip in lazy mode
623
+ Formatting inputs...Skip in lazy mode
624
+ Formatting inputs...Skip in lazy mode
625
+ 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}.
626
+ 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}.
627
+ 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}.
628
+ 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}.
629
+ NCCL version 2.26.2+cuda12.2
630
+
631
+ [2026-09-18 02:48:56] worker-1:2229341:2230076 [0] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
632
+
633
+ [2026-09-18 02:48:56] worker-1:2229343:2230081 [2] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
634
+
635
+ [2026-09-18 02:48:56] worker-1:2229344:2230077 [3] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
636
+
637
+ [2026-09-18 02:48:56] worker-1:2229342:2230078 [1] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
638
+ [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"}
639
+ [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}
640
+ [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"}
641
+ [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}
642
+ [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"}
643
+ [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}
644
+ [GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (3, 3, 420, 560)]
645
+ /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.
646
+ with torch.cuda.amp.autocast(dtype=dtype):
647
+ [GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (3, 3, 420, 560)]
648
+ /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.
649
+ with torch.cuda.amp.autocast(dtype=dtype):
650
+ [GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (4, 3, 420, 560)]
651
+ /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.
652
+ with torch.cuda.amp.autocast(dtype=dtype):
653
+ [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"}
654
+ [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}
655
+
656
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=2, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (2, 3, 420, 560)]
657
+ /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.
658
+ with torch.cuda.amp.autocast(dtype=dtype):
659
+ [GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)]
660
+ /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.
661
+ with torch.cuda.amp.autocast(dtype=dtype):
662
+ [GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)]
663
+ /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.
664
+ with torch.cuda.amp.autocast(dtype=dtype):
665
+ [GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)]
666
+ /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.
667
+ with torch.cuda.amp.autocast(dtype=dtype):
668
+ [GeometryBatch] micro_batch=2, mode=batched VGGT, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560)]
669
+ /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.
670
+ with torch.cuda.amp.autocast(dtype=dtype):
671
+ [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": 28.055, "device_total_GiB": 79.189}
672
+ [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": 27.753, "device_total_GiB": 79.189}[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": 28.19, "device_total_GiB": 79.189}
673
+
674
+ [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": 26.862, "device_total_GiB": 79.189}
675
+
676
  2%|▏ | 1/50 [00:48<39:23, 48.24s/it][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": 28.053, "device_total_GiB": 79.189}
677
+ [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": 28.188, "device_total_GiB": 79.189}
678
+ [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": 27.751, "device_total_GiB": 79.189}
679
+ [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": 26.862, "device_total_GiB": 79.189}
680
+
681
  4%|▍ | 2/50 [01:03<23:05, 28.87s/it][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": 27.751, "device_total_GiB": 79.189}
682
+
683
  6%|β–Œ | 3/50 [01:18<17:45, 22.67s/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": 26.862, "device_total_GiB": 79.189}
684
+ [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": 28.053, "device_total_GiB": 79.189}
685
+ [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": 28.188, "device_total_GiB": 79.189}
686
+ [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": 26.86, "device_total_GiB": 79.189}
687
+ [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": 27.751, "device_total_GiB": 79.189}
688
+ [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": 28.188, "device_total_GiB": 79.189}
689
+
690
  8%|β–Š | 4/50 [01:41<17:30, 22.84s/it][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": 28.053, "device_total_GiB": 79.189}
691
+ [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": 27.751, "device_total_GiB": 79.189}
692
+ [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": 26.86, "device_total_GiB": 79.189}
693
+
694
  10%|β–ˆ | 5/50 [01:57<15:02, 20.05s/it][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": 28.053, "device_total_GiB": 79.189}
695
+ [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": 28.188, "device_total_GiB": 79.189}
696
+ [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": 27.751, "device_total_GiB": 79.189}
697
+ [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": 28.053, "device_total_GiB": 79.189}
698
+
699
  12%|β–ˆβ– | 6/50 [02:12<13:26, 18.33s/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": 26.86, "device_total_GiB": 79.189}
700
+ [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": 28.188, "device_total_GiB": 79.189}
701
+ [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": 28.053, "device_total_GiB": 79.189}
702
+ [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": 28.188, "device_total_GiB": 79.189}
703
+ [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": 26.86, "device_total_GiB": 79.189}
704
+ [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": 27.751, "device_total_GiB": 79.189}
705
+
706
  14%|β–ˆβ– | 7/50 [02:27<12:22, 17.26s/it][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": 27.751, "device_total_GiB": 79.189}
707
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 26.266, "device_total_GiB": 79.189}
708
+
709
  16%|β–ˆβ–Œ | 8/50 [02:42<11:36, 16.58s/it][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": 28.188, "device_total_GiB": 79.189}
710
+ [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": 28.053, "device_total_GiB": 79.189}
711
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.249, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.496, "peak_reserved_GiB": 46.652, "device_free_GiB": 26.266, "device_total_GiB": 79.189}
712
+ [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": 27.751, "device_total_GiB": 79.189}
713
+ [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": 28.053, "device_total_GiB": 79.189}
714
+ [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": 28.188, "device_total_GiB": 79.189}
715
+
716
  18%|β–ˆβ–Š | 9/50 [02:57<11:00, 16.11s/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": 28.188, "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": 28.053, "device_total_GiB": 79.189}
717
+
718
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 26.266, "device_total_GiB": 79.189}
719
+ [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": 27.751, "device_total_GiB": 79.189}
720
+
721
  20%|β–ˆβ–ˆ | 10/50 [03:12<10:33, 15.83s/it][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": 27.278, "device_total_GiB": 79.189}
722
+ [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": 27.716, "device_total_GiB": 79.189}
723
+
724
 
725
+ [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": 27.581, "device_total_GiB": 79.189}
726
+
727
  20%|β–ˆβ–ˆ | 10/50 [03:12<10:33, 15.83s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
728
+ [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": 27.581, "device_total_GiB": 79.189}
729
+ [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": 27.278, "device_total_GiB": 79.189}
730
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.181, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
731
+ [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": 27.716, "device_total_GiB": 79.189}
732
+
733
  22%|β–ˆβ–ˆβ– | 11/50 [03:28<10:19, 15.89s/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": 27.716, "device_total_GiB": 79.189}
734
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
735
+ [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": 27.278, "device_total_GiB": 79.189}
736
+
737
  24%|β–ˆβ–ˆβ– | 12/50 [03:43<09:53, 15.62s/it][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": 27.581, "device_total_GiB": 79.189}
738
+ [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": 27.716, "device_total_GiB": 79.189}
739
+ [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": 27.278, "device_total_GiB": 79.189}
740
+ [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": 27.581, "device_total_GiB": 79.189}
741
+
742
  26%|β–ˆβ–ˆβ–Œ | 13/50 [04:01<10:03, 16.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
743
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
744
+ [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": 27.278, "device_total_GiB": 79.189}
745
+
746
  28%|β–ˆβ–ˆβ–Š | 14/50 [04:25<11:08, 18.58s/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": 27.581, "device_total_GiB": 79.189}
747
+ [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": 27.716, "device_total_GiB": 79.189}
748
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
749
+ [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": 27.278, "device_total_GiB": 79.189}
750
+
751
  30%|β–ˆβ–ˆβ–ˆ | 15/50 [04:40<10:12, 17.50s/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": 27.716, "device_total_GiB": 79.189}
752
+ [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": 27.581, "device_total_GiB": 79.189}
753
+ [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": 27.581, "device_total_GiB": 79.189}
754
+ [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": 27.278, "device_total_GiB": 79.189}
755
+
756
  32%|β–ˆβ–ˆβ–ˆβ– | 16/50 [04:55<09:30, 16.77s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
757
+ [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": 27.716, "device_total_GiB": 79.189}
758
+ [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": 27.278, "device_total_GiB": 79.189}
759
+
760
  34%|β–ˆβ–ˆβ–ˆβ– | 17/50 [05:10<08:57, 16.29s/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": 27.581, "device_total_GiB": 79.189}
761
+ [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": 27.716, "device_total_GiB": 79.189}
762
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
763
+ [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": 27.716, "device_total_GiB": 79.189}
764
+ [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": 27.278, "device_total_GiB": 79.189}
765
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
766
+
767
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 18/50 [05:25<08:30, 15.97s/it][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": 27.581, "device_total_GiB": 79.189}
768
+ [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": 27.278, "device_total_GiB": 79.189}
769
+ [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": 27.581, "device_total_GiB": 79.189}
770
+ [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": 27.716, "device_total_GiB": 79.189}
771
+
772
  38%|β–ˆβ–ˆβ–ˆβ–Š | 19/50 [05:40<08:05, 15.67s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.428, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
773
+ [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": 27.278, "device_total_GiB": 79.189}
774
+
775
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:55<07:45, 15.51s/it][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": 27.716, "device_total_GiB": 79.189}
776
+ [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": 27.581, "device_total_GiB": 79.189}
777
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
778
+ [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": 27.581, "device_total_GiB": 79.189}[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": 27.716, "device_total_GiB": 79.189}
779
+
780
+ [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": 27.278, "device_total_GiB": 79.189}
781
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
782
+
783
 
784
+
785
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:55<07:45, 15.51s/it][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": 27.716, "device_total_GiB": 79.189}
786
+ [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": 27.278, "device_total_GiB": 79.189}
787
+
788
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 21/50 [06:10<07:24, 15.32s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
789
+ [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": 27.581, "device_total_GiB": 79.189}
790
+ [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": 27.278, "device_total_GiB": 79.189}
791
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
792
+
793
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 22/50 [06:26<07:08, 15.32s/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": 27.581, "device_total_GiB": 79.189}
794
+ [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": 27.122, "device_total_GiB": 79.189}
795
+ [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": 27.278, "device_total_GiB": 79.189}
796
+ [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": 27.581, "device_total_GiB": 79.189}
797
+
798
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 23/50 [06:41<06:51, 15.23s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
799
+ [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": 27.122, "device_total_GiB": 79.189}
800
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.182, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.429, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
801
+ [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": 27.581, "device_total_GiB": 79.189}
802
+ [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": 27.278, "device_total_GiB": 79.189}
803
+
804
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/50 [06:56<06:38, 15.33s/it][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": 27.122, "device_total_GiB": 79.189}
805
+ [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": 27.581, "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": 27.278, "device_total_GiB": 79.189}
806
+
807
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.475, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
808
+
809
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 25/50 [07:11<06:21, 15.28s/it][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": 27.122, "device_total_GiB": 79.189}
810
+ [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": 27.278, "device_total_GiB": 79.189}
811
+ [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": 27.122, "device_total_GiB": 79.189}
812
+
813
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 26/50 [07:26<06:05, 15.23s/it][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": 27.581, "device_total_GiB": 79.189}
814
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
815
+ [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": 27.278, "device_total_GiB": 79.189}
816
+
817
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 27/50 [07:42<05:51, 15.27s/it][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": 27.122, "device_total_GiB": 79.189}
818
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
819
+ [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": 27.581, "device_total_GiB": 79.189}
820
+ [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": 27.581, "device_total_GiB": 79.189}
821
+ [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": 27.278, "device_total_GiB": 79.189}
822
+ [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": 27.122, "device_total_GiB": 79.189}
823
+
824
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 28/50 [07:57<05:36, 15.30s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
825
+ [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": 27.278, "device_total_GiB": 79.189}
826
+
827
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 29/50 [08:12<05:20, 15.28s/it][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": 27.122, "device_total_GiB": 79.189}
828
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
829
+ [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": 27.581, "device_total_GiB": 79.189}
830
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
831
+ [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": 27.122, "device_total_GiB": 79.189}
832
+ [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": 27.581, "device_total_GiB": 79.189}
833
+ [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": 27.278, "device_total_GiB": 79.189}
834
+
835
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:28<05:06, 15.32s/it][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": 27.581, "device_total_GiB": 79.189}
836
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
837
+ [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": 27.122, "device_total_GiB": 79.189}
838
+ [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": 27.278, "device_total_GiB": 79.189}
839
+
840
 
841
+
842
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:28<05:06, 15.32s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.191, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
843
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 31, "allocated_GiB": 24.173, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
844
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 31, "allocated_GiB": 24.182, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
845
+
846
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/50 [08:43<04:50, 15.29s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
847
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 32, "allocated_GiB": 24.163, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
848
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 32, "allocated_GiB": 24.135, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.394, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
849
+
850
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/50 [08:58<04:35, 15.30s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.163, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.481, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
851
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 32, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
852
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 33, "allocated_GiB": 24.191, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
853
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 33, "allocated_GiB": 24.144, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.404, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
854
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
855
+
856
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 33/50 [09:13<04:18, 15.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
857
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 34, "allocated_GiB": 24.163, "reserved_GiB": 45.168, "peak_allocated_GiB": 34.423, "peak_reserved_GiB": 45.168, "device_free_GiB": 27.278, "device_total_GiB": 79.189}
858
+
859
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 34/50 [09:29<04:04, 15.29s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.202, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.448, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
860
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 34, "allocated_GiB": 24.181, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
861
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 34, "allocated_GiB": 24.153, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
862
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 35, "allocated_GiB": 24.153, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
863
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 35, "allocated_GiB": 24.182, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
864
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
865
+
866
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 35/50 [09:44<03:48, 15.24s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
867
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 36, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
868
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 36, "allocated_GiB": 24.191, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.47, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
869
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 36, "allocated_GiB": 24.21, "reserved_GiB": 44.865, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 44.865, "device_free_GiB": 27.581, "device_total_GiB": 79.189}
870
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 36, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
871
+
872
  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36/50 [09:59<03:33, 15.26s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 37, "allocated_GiB": 24.229, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.548, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
873
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 37, "allocated_GiB": 24.201, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.46, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
874
+
875
  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/50 [10:15<03:19, 15.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 37, "allocated_GiB": 24.249, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.495, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
876
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 37, "allocated_GiB": 24.219, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.499, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
877
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 38, "allocated_GiB": 24.134, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
878
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 38, "allocated_GiB": 24.153, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
879
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 38, "allocated_GiB": 24.163, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.41, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
880
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 38, "allocated_GiB": 24.087, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.347, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
881
+
882
  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 38/50 [10:30<03:02, 15.24s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.172, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.419, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.472, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
883
+
884
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
885
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 39, "allocated_GiB": 24.125, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.384, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
886
+
887
  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/50 [10:45<02:47, 15.20s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
888
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 40, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
889
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 40, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
890
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 40, "allocated_GiB": 24.163, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
891
+
892
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [11:00<02:31, 15.17s/it][TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 40, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
893
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
894
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.191, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.438, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
895
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 40, "allocated_GiB": 24.163, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.422, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
896
+
897
 
898
+
899
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [11:00<02:31, 15.17s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 41, "allocated_GiB": 24.2, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
900
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 41, "allocated_GiB": 24.191, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.471, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
901
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 41, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
902
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 41, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
903
+
904
  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/50 [11:15<02:16, 15.15s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 42, "allocated_GiB": 24.239, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.498, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 42, "allocated_GiB": 24.248, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.567, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
905
+
906
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.518, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
907
+
908
  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 42/50 [11:30<02:00, 15.12s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
909
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 43, "allocated_GiB": 24.191, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.51, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
910
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 43, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
911
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 43, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
912
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 43, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
913
+
914
  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/50 [11:45<01:46, 15.17s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 44, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
915
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.504, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
916
+
917
  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 44/50 [12:00<01:30, 15.09s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.576, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
918
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.537, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
919
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 45, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
920
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 45, "allocated_GiB": 24.144, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.403, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 45, "allocated_GiB": 24.181, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.5, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
921
+
922
+
923
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 45/50 [12:16<01:15, 15.13s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
924
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.538, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
925
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 46, "allocated_GiB": 24.2, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
926
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 46, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
927
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.466, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
928
+
929
  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 46/50 [12:31<01:00, 15.12s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 47, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
930
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 47, "allocated_GiB": 24.2, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.519, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
931
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 47, "allocated_GiB": 24.173, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.432, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
932
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 47, "allocated_GiB": 24.181, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.461, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
933
+
934
  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 47/50 [12:46<00:45, 15.13s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 48, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.442, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
935
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.489, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
936
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.529, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
937
+
938
  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 48/50 [13:01<00:30, 15.17s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 48, "allocated_GiB": 24.238, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.485, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
939
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 49, "allocated_GiB": 24.173, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.491, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
940
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 49, "allocated_GiB": 24.153, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.413, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
941
+
942
  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 49/50 [13:16<00:15, 15.13s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 49, "allocated_GiB": 24.173, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.452, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
943
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 49, "allocated_GiB": 24.2, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.447, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
944
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
945
+
946
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
947
+
948
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
949
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}
950
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 24.201, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.52, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
951
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
952
+
953
 
954
+
955
+
956
+
957
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 45.258, "peak_allocated_GiB": 34.441, "peak_reserved_GiB": 45.258, "device_free_GiB": 27.188, "device_total_GiB": 79.189}
958
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 45.324, "peak_allocated_GiB": 34.48, "peak_reserved_GiB": 45.324, "device_free_GiB": 27.122, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 46.652, "peak_allocated_GiB": 34.457, "peak_reserved_GiB": 46.652, "device_free_GiB": 25.794, "device_total_GiB": 79.189}
959
+
960
+
961
 
962
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 45.459, "peak_allocated_GiB": 34.52, "peak_reserved_GiB": 45.459, "device_free_GiB": 26.987, "device_total_GiB": 79.189}
963
+
964
+
965
+ [rank0]:[W918 03:04:19.641725930 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())
speed_fixed_bs4/train.log ADDED
@@ -0,0 +1,905 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (2, 3, 420, 560)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  2%|▏ | 1/50 [00:50<41:21, 50.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.135, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.493, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
 
 
2
  4%|▍ | 2/50 [01:05<23:41, 29.62s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.134, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.441, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
 
 
 
3
  6%|β–Œ | 3/50 [01:21<18:21, 23.44s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.257, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.563, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
 
 
 
 
4
  8%|β–Š | 4/50 [01:46<18:27, 24.08s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.153, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.407, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
 
 
 
 
5
  10%|β–ˆ | 5/50 [02:02<15:43, 20.98s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.181, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.497, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
 
 
 
 
6
  12%|β–ˆβ– | 6/50 [02:17<13:54, 18.97s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.238, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.414, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
 
 
 
 
7
  14%|β–ˆβ– | 7/50 [02:31<12:33, 17.52s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
 
 
 
 
 
 
8
  16%|β–ˆβ–Œ | 8/50 [02:47<11:52, 16.97s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.219, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.505, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
 
 
 
 
9
  18%|β–ˆβ–Š | 9/50 [03:01<10:57, 16.04s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.633, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.649, "device_total_GiB": 79.189}
 
 
 
 
 
10
  20%|β–ˆβ–ˆ | 10/50 [03:17<10:36, 15.91s/it][TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.472, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.284, "device_total_GiB": 79.189}
 
 
 
 
11
 
 
12
  20%|β–ˆβ–ˆ | 10/50 [03:17<10:36, 15.91s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.106, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.107, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
 
13
  22%|β–ˆβ–ˆβ– | 11/50 [03:32<10:15, 15.77s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.52, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
 
14
  24%|οΏ½οΏ½οΏ½β–ˆβ– | 12/50 [03:47<09:50, 15.53s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.181, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.341, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
 
 
 
 
15
  26%|β–ˆβ–ˆβ–Œ | 13/50 [04:02<09:22, 15.20s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.52, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
16
  28%|β–ˆβ–ˆβ–Š | 14/50 [04:16<08:55, 14.86s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.536, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
 
 
 
17
  30%|β–ˆβ–ˆβ–ˆ | 15/50 [04:30<08:36, 14.76s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.172, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.217, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
 
 
18
  32%|β–ˆβ–ˆβ–ˆβ– | 16/50 [04:45<08:20, 14.71s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.219, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.488, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
 
 
 
 
 
 
19
  34%|β–ˆβ–ˆβ–ˆβ– | 17/50 [05:00<08:15, 15.02s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.106, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.456, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
20
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 18/50 [05:15<07:58, 14.95s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.192, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.457, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
 
21
  38%|β–ˆβ–ˆβ–ˆβ–Š | 19/50 [05:30<07:40, 14.86s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.532, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
22
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:45<07:30, 15.03s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.124, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.405, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
 
 
 
23
 
 
24
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:45<07:30, 15.03s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.181, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.51, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
25
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 21/50 [06:00<07:14, 14.98s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.326, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
 
 
 
 
 
26
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 22/50 [06:14<06:50, 14.67s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.63, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
27
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 23/50 [06:28<06:30, 14.47s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.497, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
 
 
 
 
 
28
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/50 [06:44<06:25, 14.82s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.125, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.371, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
29
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 25/50 [06:58<06:04, 14.57s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.592, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
 
30
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 26/50 [07:12<05:50, 14.58s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.608, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
31
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 27/50 [07:27<05:37, 14.67s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
32
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 28/50 [07:42<05:22, 14.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
33
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 29/50 [07:57<05:11, 14.81s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.595, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
34
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:12<04:56, 14.83s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.66, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
 
35
 
 
 
36
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:12<04:56, 14.83s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 31, "allocated_GiB": 24.172, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.16, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
 
37
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/50 [08:26<04:39, 14.72s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.22, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.434, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
 
 
 
 
38
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/50 [08:42<04:28, 14.90s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.172, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.492, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
39
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 33/50 [08:57<04:13, 14.92s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.21, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.653, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
40
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 34/50 [09:12<04:01, 15.12s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 35, "allocated_GiB": 24.181, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.519, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
 
41
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 35/50 [09:27<03:44, 14.99s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 36, "allocated_GiB": 24.219, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.461, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
42
  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36/50 [09:41<03:27, 14.83s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 36, "allocated_GiB": 24.191, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.465, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
 
 
 
43
  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/50 [09:56<03:12, 14.83s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 38, "allocated_GiB": 24.191, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.386, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
 
 
44
  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 38/50 [10:12<03:00, 15.07s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 39, "allocated_GiB": 24.115, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.024, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
 
 
45
  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/50 [10:28<02:47, 15.27s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.2, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.377, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
 
46
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [10:42<02:30, 15.03s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 40, "allocated_GiB": 24.172, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.46, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
 
 
47
 
 
 
48
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [10:42<02:30, 15.03s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.192, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.436, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
 
 
 
49
  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/50 [10:56<02:13, 14.80s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.545, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
50
  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 42/50 [11:10<01:56, 14.57s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.515, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
 
 
51
  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/50 [11:25<01:42, 14.66s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 43, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.542, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
52
  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 44/50 [11:39<01:26, 14.39s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.219, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.399, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
 
 
 
 
53
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 45/50 [11:55<01:14, 14.82s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 46, "allocated_GiB": 24.2, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.461, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
54
  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 46/50 [12:09<00:58, 14.74s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.614, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
 
55
  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 47/50 [12:25<00:44, 14.86s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.577, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
56
  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 48/50 [12:39<00:29, 14.81s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 49, "allocated_GiB": 24.172, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.17, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 49, "allocated_GiB": 24.154, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.432, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
 
 
 
57
  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 49/50 [12:57<00:15, 15.68s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 49, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.562, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
 
 
58
 
 
 
 
 
 
 
 
 
59
 
 
 
 
 
1
+ [INFO] Running in WANDB offline mode
2
+ [INFO] Running in WANDB offline mode
3
+ [INFO] Running in WANDB offline mode
4
+ [INFO] Running in WANDB offline mode
5
+ Trainer._get_train_sampler replaced with custom implementation.
6
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
7
+ Trainer._get_train_sampler replaced with custom implementation.
8
+ [2026-09-18 03:04:30,081] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
9
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
10
+ [2026-09-18 03:04:30,123] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
11
+ Trainer._get_train_sampler replaced with custom implementation.
12
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
13
+ [2026-09-18 03:04:30,205] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
14
+ Trainer._get_train_sampler replaced with custom implementation.
15
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
16
+ [2026-09-18 03:04:30,393] [INFO] [comm.py:658:init_distributed] cdb=None
17
+ [2026-09-18 03:04:30,394] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
18
+ [2026-09-18 03:04:30,428] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
19
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
20
+ [2026-09-18 03:04:30,489] [INFO] [comm.py:658:init_distributed] cdb=None
21
+ [2026-09-18 03:04:30,509] [INFO] [comm.py:658:init_distributed] cdb=None
22
+ [2026-09-18 03:04:30,785] [INFO] [comm.py:658:init_distributed] cdb=None
23
+
24
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
25
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
26
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
27
+
28
+
29
+
30
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
31
+ [FeatureFusion] geometry fusion delta scaled by 0.5
32
+ [FeatureFusion] importance gate ENABLED on geometry delta
33
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
34
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
35
+ [FeatureFusion] geometry fusion delta scaled by 0.5
36
+ [FeatureFusion] importance gate ENABLED on geometry delta
37
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
38
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
39
+ [FeatureFusion] geometry fusion delta scaled by 0.5
40
+ [FeatureFusion] importance gate ENABLED on geometry delta
41
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
42
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
43
+ [FeatureFusion] geometry fusion delta scaled by 0.5
44
+ [FeatureFusion] importance gate ENABLED on geometry delta
45
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
46
+ Loading weights from local directory
47
+ Loading weights from local directory
48
+ Loading weights from local directory
49
+ Loading weights from local directory
50
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
51
+ Vision Module - Attention Blocks:
52
+ Trainable Block Indices: None
53
+ 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]
54
+ Merger Module Trainable: True
55
+ LLM Module - Embed Tokens Trainable: True
56
+ 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]
57
+ LLM Module - Non-Trainable Layer Indices: None
58
+ Qwen3_5Config {
59
+ "architectures": [
60
+ "Qwen3_5ForConditionalGeneration"
61
+ ],
62
+ "dtype": "bfloat16",
63
+ "feature_fusion_method": "deepstack_language_add",
64
+ "fusion_num_layers": 1,
65
+ "geometry_encoder_layers": [
66
+ 11,
67
+ 17,
68
+ 23
69
+ ],
70
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
71
+ "geometry_encoder_streaming": true,
72
+ "geometry_encoder_type": "vggt",
73
+ "geometry_frame_strict": true,
74
+ "geometry_fusion_layers": [
75
+ 0,
76
+ 1,
77
+ 2
78
+ ],
79
+ "geometry_fusion_scale": 0.5,
80
+ "geometry_importance_gate": true,
81
+ "geometry_learnable_scale": true,
82
+ "geometry_merger_type": "mlp",
83
+ "geometry_spatial_bias": false,
84
+ "image_token_id": 248056,
85
+ "include_camera_token": false,
86
+ "model_type": "qwen3_5",
87
+ "pos_encoding_type": "none",
88
+ "reference_frame": "first",
89
+ "supervised_token_loss": true,
90
+ "text_config": {
91
+ "attention_bias": false,
92
+ "attention_dropout": 0.0,
93
+ "attn_output_gate": true,
94
+ "bos_token_id": null,
95
+ "dtype": "bfloat16",
96
+ "eos_token_id": 248044,
97
+ "full_attention_interval": 4,
98
+ "head_dim": 256,
99
+ "hidden_act": "silu",
100
+ "hidden_size": 2560,
101
+ "initializer_range": 0.02,
102
+ "intermediate_size": 9216,
103
+ "layer_types": [
104
+ "linear_attention",
105
+ "linear_attention",
106
+ "linear_attention",
107
+ "full_attention",
108
+ "linear_attention",
109
+ "linear_attention",
110
+ "linear_attention",
111
+ "full_attention",
112
+ "linear_attention",
113
+ "linear_attention",
114
+ "linear_attention",
115
+ "full_attention",
116
+ "linear_attention",
117
+ "linear_attention",
118
+ "linear_attention",
119
+ "full_attention",
120
+ "linear_attention",
121
+ "linear_attention",
122
+ "linear_attention",
123
+ "full_attention",
124
+ "linear_attention",
125
+ "linear_attention",
126
+ "linear_attention",
127
+ "full_attention",
128
+ "linear_attention",
129
+ "linear_attention",
130
+ "linear_attention",
131
+ "full_attention",
132
+ "linear_attention",
133
+ "linear_attention",
134
+ "linear_attention",
135
+ "full_attention"
136
+ ],
137
+ "linear_conv_kernel_dim": 4,
138
+ "linear_key_head_dim": 128,
139
+ "linear_num_key_heads": 16,
140
+ "linear_num_value_heads": 32,
141
+ "linear_value_head_dim": 128,
142
+ "mamba_ssm_dtype": "float32",
143
+ "max_position_embeddings": 262144,
144
+ "mlp_only_layers": [],
145
+ "model_type": "qwen3_5_text",
146
+ "mtp_num_hidden_layers": 1,
147
+ "mtp_use_dedicated_embeddings": false,
148
+ "num_attention_heads": 16,
149
+ "num_hidden_layers": 32,
150
+ "num_key_value_heads": 4,
151
+ "pad_token_id": null,
152
+ "partial_rotary_factor": 0.25,
153
+ "rms_norm_eps": 1e-06,
154
+ "rope_parameters": {
155
+ "mrope_interleaved": true,
156
+ "mrope_section": [
157
+ 11,
158
+ 11,
159
+ 10
160
+ ],
161
+ "partial_rotary_factor": 0.25,
162
+ "rope_theta": 10000000,
163
+ "rope_type": "default"
164
+ },
165
+ "tie_word_embeddings": true,
166
+ "use_cache": true,
167
+ "vocab_size": 248320
168
+ },
169
+ "tie_word_embeddings": true,
170
+ "transformers_version": "5.3.0",
171
+ "use_cache": false,
172
+ "use_geometry_encoder": true,
173
+ "video_token_id": 248057,
174
+ "vision_config": {
175
+ "deepstack_visual_indexes": [],
176
+ "depth": 24,
177
+ "dtype": "bfloat16",
178
+ "hidden_act": "gelu_pytorch_tanh",
179
+ "hidden_size": 1024,
180
+ "in_channels": 3,
181
+ "initializer_range": 0.02,
182
+ "intermediate_size": 4096,
183
+ "model_type": "qwen3_5",
184
+ "num_heads": 16,
185
+ "num_position_embeddings": 2304,
186
+ "out_hidden_size": 2560,
187
+ "patch_size": 16,
188
+ "spatial_merge_size": 2,
189
+ "temporal_patch_size": 2
190
+ },
191
+ "vision_end_token_id": 248054,
192
+ "vision_language_fusion_layers": null,
193
+ "vision_start_token_id": 248053
194
+ }
195
+
196
+ 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'}]
197
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
198
+ Qwen3_5Config {
199
+ "architectures": [
200
+ "Qwen3_5ForConditionalGeneration"
201
+ ],
202
+ "dtype": "bfloat16",
203
+ "feature_fusion_method": "deepstack_language_add",
204
+ "fusion_num_layers": 1,
205
+ "geometry_encoder_layers": [
206
+ 11,
207
+ 17,
208
+ 23
209
+ ],
210
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
211
+ "geometry_encoder_streaming": true,
212
+ "geometry_encoder_type": "vggt",
213
+ "geometry_frame_strict": true,
214
+ "geometry_fusion_layers": [
215
+ 0,
216
+ 1,
217
+ 2
218
+ ],
219
+ "geometry_fusion_scale": 0.5,
220
+ "geometry_importance_gate": true,
221
+ "geometry_learnable_scale": true,
222
+ "geometry_merger_type": "mlp",
223
+ "geometry_spatial_bias": false,
224
+ "image_token_id": 248056,
225
+ "include_camera_token": false,
226
+ "model_type": "qwen3_5",
227
+ "pos_encoding_type": "none",
228
+ "reference_frame": "first",
229
+ "supervised_token_loss": true,
230
+ "text_config": {
231
+ "attention_bias": false,
232
+ "attention_dropout": 0.0,
233
+ "attn_output_gate": true,
234
+ "bos_token_id": null,
235
+ "dtype": "bfloat16",
236
+ "eos_token_id": 248044,
237
+ "full_attention_interval": 4,
238
+ "head_dim": 256,
239
+ "hidden_act": "silu",
240
+ "hidden_size": 2560,
241
+ "initializer_range": 0.02,
242
+ "intermediate_size": 9216,
243
+ "layer_types": [
244
+ "linear_attention",
245
+ "linear_attention",
246
+ "linear_attention",
247
+ "full_attention",
248
+ "linear_attention",
249
+ "linear_attention",
250
+ "linear_attention",
251
+ "full_attention",
252
+ "linear_attention",
253
+ "linear_attention",
254
+ "linear_attention",
255
+ "full_attention",
256
+ "linear_attention",
257
+ "linear_attention",
258
+ "linear_attention",
259
+ "full_attention",
260
+ "linear_attention",
261
+ "linear_attention",
262
+ "linear_attention",
263
+ "full_attention",
264
+ "linear_attention",
265
+ "linear_attention",
266
+ "linear_attention",
267
+ "full_attention",
268
+ "linear_attention",
269
+ "linear_attention",
270
+ "linear_attention",
271
+ "full_attention",
272
+ "linear_attention",
273
+ "linear_attention",
274
+ "linear_attention",
275
+ "full_attention"
276
+ ],
277
+ "linear_conv_kernel_dim": 4,
278
+ "linear_key_head_dim": 128,
279
+ "linear_num_key_heads": 16,
280
+ "linear_num_value_heads": 32,
281
+ "linear_value_head_dim": 128,
282
+ "mamba_ssm_dtype": "float32",
283
+ "max_position_embeddings": 262144,
284
+ "mlp_only_layers": [],
285
+ "model_type": "qwen3_5_text",
286
+ "mtp_num_hidden_layers": 1,
287
+ "mtp_use_dedicated_embeddings": false,
288
+ "num_attention_heads": 16,
289
+ "num_hidden_layers": 32,
290
+ "num_key_value_heads": 4,
291
+ "pad_token_id": null,
292
+ "partial_rotary_factor": 0.25,
293
+ "rms_norm_eps": 1e-06,
294
+ "rope_parameters": {
295
+ "mrope_interleaved": true,
296
+ "mrope_section": [
297
+ 11,
298
+ 11,
299
+ 10
300
+ ],
301
+ "partial_rotary_factor": 0.25,
302
+ "rope_theta": 10000000,
303
+ "rope_type": "default"
304
+ },
305
+ "tie_word_embeddings": true,
306
+ "use_cache": true,
307
+ "vocab_size": 248320
308
+ },
309
+ "tie_word_embeddings": true,
310
+ "transformers_version": "5.3.0",
311
+ "use_cache": false,
312
+ "use_geometry_encoder": true,
313
+ "video_token_id": 248057,
314
+ "vision_config": {
315
+ "deepstack_visual_indexes": [],
316
+ "depth": 24,
317
+ "dtype": "bfloat16",
318
+ "hidden_act": "gelu_pytorch_tanh",
319
+ "hidden_size": 1024,
320
+ "in_channels": 3,
321
+ "initializer_range": 0.02,
322
+ "intermediate_size": 4096,
323
+ "model_type": "qwen3_5",
324
+ "num_heads": 16,
325
+ "num_position_embeddings": 2304,
326
+ "out_hidden_size": 2560,
327
+ "patch_size": 16,
328
+ "spatial_merge_size": 2,
329
+ "temporal_patch_size": 2
330
+ },
331
+ "vision_end_token_id": 248054,
332
+ "vision_language_fusion_layers": null,
333
+ "vision_start_token_id": 248053
334
+ }
335
+
336
+ 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'}]
337
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
338
+ Qwen3_5Config {
339
+ "architectures": [
340
+ "Qwen3_5ForConditionalGeneration"
341
+ ],
342
+ "dtype": "bfloat16",
343
+ "feature_fusion_method": "deepstack_language_add",
344
+ "fusion_num_layers": 1,
345
+ "geometry_encoder_layers": [
346
+ 11,
347
+ 17,
348
+ 23
349
+ ],
350
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
351
+ "geometry_encoder_streaming": true,
352
+ "geometry_encoder_type": "vggt",
353
+ "geometry_frame_strict": true,
354
+ "geometry_fusion_layers": [
355
+ 0,
356
+ 1,
357
+ 2
358
+ ],
359
+ "geometry_fusion_scale": 0.5,
360
+ "geometry_importance_gate": true,
361
+ "geometry_learnable_scale": true,
362
+ "geometry_merger_type": "mlp",
363
+ "geometry_spatial_bias": false,
364
+ "image_token_id": 248056,
365
+ "include_camera_token": false,
366
+ "model_type": "qwen3_5",
367
+ "pos_encoding_type": "none",
368
+ "reference_frame": "first",
369
+ "supervised_token_loss": true,
370
+ "text_config": {
371
+ "attention_bias": false,
372
+ "attention_dropout": 0.0,
373
+ "attn_output_gate": true,
374
+ "bos_token_id": null,
375
+ "dtype": "bfloat16",
376
+ "eos_token_id": 248044,
377
+ "full_attention_interval": 4,
378
+ "head_dim": 256,
379
+ "hidden_act": "silu",
380
+ "hidden_size": 2560,
381
+ "initializer_range": 0.02,
382
+ "intermediate_size": 9216,
383
+ "layer_types": [
384
+ "linear_attention",
385
+ "linear_attention",
386
+ "linear_attention",
387
+ "full_attention",
388
+ "linear_attention",
389
+ "linear_attention",
390
+ "linear_attention",
391
+ "full_attention",
392
+ "linear_attention",
393
+ "linear_attention",
394
+ "linear_attention",
395
+ "full_attention",
396
+ "linear_attention",
397
+ "linear_attention",
398
+ "linear_attention",
399
+ "full_attention",
400
+ "linear_attention",
401
+ "linear_attention",
402
+ "linear_attention",
403
+ "full_attention",
404
+ "linear_attention",
405
+ "linear_attention",
406
+ "linear_attention",
407
+ "full_attention",
408
+ "linear_attention",
409
+ "linear_attention",
410
+ "linear_attention",
411
+ "full_attention",
412
+ "linear_attention",
413
+ "linear_attention",
414
+ "linear_attention",
415
+ "full_attention"
416
+ ],
417
+ "linear_conv_kernel_dim": 4,
418
+ "linear_key_head_dim": 128,
419
+ "linear_num_key_heads": 16,
420
+ "linear_num_value_heads": 32,
421
+ "linear_value_head_dim": 128,
422
+ "mamba_ssm_dtype": "float32",
423
+ "max_position_embeddings": 262144,
424
+ "mlp_only_layers": [],
425
+ "model_type": "qwen3_5_text",
426
+ "mtp_num_hidden_layers": 1,
427
+ "mtp_use_dedicated_embeddings": false,
428
+ "num_attention_heads": 16,
429
+ "num_hidden_layers": 32,
430
+ "num_key_value_heads": 4,
431
+ "pad_token_id": null,
432
+ "partial_rotary_factor": 0.25,
433
+ "rms_norm_eps": 1e-06,
434
+ "rope_parameters": {
435
+ "mrope_interleaved": true,
436
+ "mrope_section": [
437
+ 11,
438
+ 11,
439
+ 10
440
+ ],
441
+ "partial_rotary_factor": 0.25,
442
+ "rope_theta": 10000000,
443
+ "rope_type": "default"
444
+ },
445
+ "tie_word_embeddings": true,
446
+ "use_cache": true,
447
+ "vocab_size": 248320
448
+ },
449
+ "tie_word_embeddings": true,
450
+ "transformers_version": "5.3.0",
451
+ "use_cache": false,
452
+ "use_geometry_encoder": true,
453
+ "video_token_id": 248057,
454
+ "vision_config": {
455
+ "deepstack_visual_indexes": [],
456
+ "depth": 24,
457
+ "dtype": "bfloat16",
458
+ "hidden_act": "gelu_pytorch_tanh",
459
+ "hidden_size": 1024,
460
+ "in_channels": 3,
461
+ "initializer_range": 0.02,
462
+ "intermediate_size": 4096,
463
+ "model_type": "qwen3_5",
464
+ "num_heads": 16,
465
+ "num_position_embeddings": 2304,
466
+ "out_hidden_size": 2560,
467
+ "patch_size": 16,
468
+ "spatial_merge_size": 2,
469
+ "temporal_patch_size": 2
470
+ },
471
+ "vision_end_token_id": 248054,
472
+ "vision_language_fusion_layers": null,
473
+ "vision_start_token_id": 248053
474
+ }
475
+
476
+ 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'}]
477
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
478
+ Qwen3_5Config {
479
+ "architectures": [
480
+ "Qwen3_5ForConditionalGeneration"
481
+ ],
482
+ "dtype": "bfloat16",
483
+ "feature_fusion_method": "deepstack_language_add",
484
+ "fusion_num_layers": 1,
485
+ "geometry_encoder_layers": [
486
+ 11,
487
+ 17,
488
+ 23
489
+ ],
490
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
491
+ "geometry_encoder_streaming": true,
492
+ "geometry_encoder_type": "vggt",
493
+ "geometry_frame_strict": true,
494
+ "geometry_fusion_layers": [
495
+ 0,
496
+ 1,
497
+ 2
498
+ ],
499
+ "geometry_fusion_scale": 0.5,
500
+ "geometry_importance_gate": true,
501
+ "geometry_learnable_scale": true,
502
+ "geometry_merger_type": "mlp",
503
+ "geometry_spatial_bias": false,
504
+ "image_token_id": 248056,
505
+ "include_camera_token": false,
506
+ "model_type": "qwen3_5",
507
+ "pos_encoding_type": "none",
508
+ "reference_frame": "first",
509
+ "supervised_token_loss": true,
510
+ "text_config": {
511
+ "attention_bias": false,
512
+ "attention_dropout": 0.0,
513
+ "attn_output_gate": true,
514
+ "bos_token_id": null,
515
+ "dtype": "bfloat16",
516
+ "eos_token_id": 248044,
517
+ "full_attention_interval": 4,
518
+ "head_dim": 256,
519
+ "hidden_act": "silu",
520
+ "hidden_size": 2560,
521
+ "initializer_range": 0.02,
522
+ "intermediate_size": 9216,
523
+ "layer_types": [
524
+ "linear_attention",
525
+ "linear_attention",
526
+ "linear_attention",
527
+ "full_attention",
528
+ "linear_attention",
529
+ "linear_attention",
530
+ "linear_attention",
531
+ "full_attention",
532
+ "linear_attention",
533
+ "linear_attention",
534
+ "linear_attention",
535
+ "full_attention",
536
+ "linear_attention",
537
+ "linear_attention",
538
+ "linear_attention",
539
+ "full_attention",
540
+ "linear_attention",
541
+ "linear_attention",
542
+ "linear_attention",
543
+ "full_attention",
544
+ "linear_attention",
545
+ "linear_attention",
546
+ "linear_attention",
547
+ "full_attention",
548
+ "linear_attention",
549
+ "linear_attention",
550
+ "linear_attention",
551
+ "full_attention",
552
+ "linear_attention",
553
+ "linear_attention",
554
+ "linear_attention",
555
+ "full_attention"
556
+ ],
557
+ "linear_conv_kernel_dim": 4,
558
+ "linear_key_head_dim": 128,
559
+ "linear_num_key_heads": 16,
560
+ "linear_num_value_heads": 32,
561
+ "linear_value_head_dim": 128,
562
+ "mamba_ssm_dtype": "float32",
563
+ "max_position_embeddings": 262144,
564
+ "mlp_only_layers": [],
565
+ "model_type": "qwen3_5_text",
566
+ "mtp_num_hidden_layers": 1,
567
+ "mtp_use_dedicated_embeddings": false,
568
+ "num_attention_heads": 16,
569
+ "num_hidden_layers": 32,
570
+ "num_key_value_heads": 4,
571
+ "pad_token_id": null,
572
+ "partial_rotary_factor": 0.25,
573
+ "rms_norm_eps": 1e-06,
574
+ "rope_parameters": {
575
+ "mrope_interleaved": true,
576
+ "mrope_section": [
577
+ 11,
578
+ 11,
579
+ 10
580
+ ],
581
+ "partial_rotary_factor": 0.25,
582
+ "rope_theta": 10000000,
583
+ "rope_type": "default"
584
+ },
585
+ "tie_word_embeddings": true,
586
+ "use_cache": true,
587
+ "vocab_size": 248320
588
+ },
589
+ "tie_word_embeddings": true,
590
+ "transformers_version": "5.3.0",
591
+ "use_cache": false,
592
+ "use_geometry_encoder": true,
593
+ "video_token_id": 248057,
594
+ "vision_config": {
595
+ "deepstack_visual_indexes": [],
596
+ "depth": 24,
597
+ "dtype": "bfloat16",
598
+ "hidden_act": "gelu_pytorch_tanh",
599
+ "hidden_size": 1024,
600
+ "in_channels": 3,
601
+ "initializer_range": 0.02,
602
+ "intermediate_size": 4096,
603
+ "model_type": "qwen3_5",
604
+ "num_heads": 16,
605
+ "num_position_embeddings": 2304,
606
+ "out_hidden_size": 2560,
607
+ "patch_size": 16,
608
+ "spatial_merge_size": 2,
609
+ "temporal_patch_size": 2
610
+ },
611
+ "vision_end_token_id": 248054,
612
+ "vision_language_fusion_layers": null,
613
+ "vision_start_token_id": 248053
614
+ }
615
+
616
+ 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'}]
617
+ Total training samples: 2429620
618
+ Total training samples: 2429620
619
+ Total training samples: 2429620
620
+ Formatting inputs...Skip in lazy mode
621
+ Total training samples: 2429620
622
+ Formatting inputs...Skip in lazy mode
623
+ Formatting inputs...Skip in lazy mode
624
+ Formatting inputs...Skip in lazy mode
625
+ 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}.
626
+ 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}.
627
+ 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}.
628
+ 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}.
629
+ NCCL version 2.26.2+cuda12.2
630
+
631
+ [2026-09-18 03:05:27] worker-1:2230940:2231673 [1] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
632
+
633
+ [2026-09-18 03:05:27] worker-1:2230942:2231680 [3] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
634
+
635
+ [2026-09-18 03:05:27] worker-1:2230941:2231676 [2] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
636
+
637
+ [2026-09-18 03:05:27] worker-1:2230939:2231670 [0] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
638
+ [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"}
639
+ [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}
640
+ [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"}
641
+ [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}
642
+ [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"}
643
+ [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}
644
+ [GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)]
645
+ /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.
646
+ with torch.cuda.amp.autocast(dtype=dtype):
647
+ [GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (3, 3, 420, 560)]
648
+ /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.
649
+ with torch.cuda.amp.autocast(dtype=dtype):
650
+ [GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (4, 3, 420, 560)]
651
+ /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.
652
+ with torch.cuda.amp.autocast(dtype=dtype):
653
+ [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"}
654
+ [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}
655
+
656
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=4, mode=per-sample VGGT fallback, input_shapes=[(9, 3, 420, 560), (9, 3, 420, 560), (9, 3, 420, 560), (2, 3, 420, 560)]
657
+ /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.
658
+ with torch.cuda.amp.autocast(dtype=dtype):
659
+ [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)]
660
+ /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.
661
+ with torch.cuda.amp.autocast(dtype=dtype):
662
+ [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)]
663
+ /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.
664
+ with torch.cuda.amp.autocast(dtype=dtype):
665
+ [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)]
666
+ /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.
667
+ with torch.cuda.amp.autocast(dtype=dtype):
668
+ [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)]
669
+ /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.
670
+ with torch.cuda.amp.autocast(dtype=dtype):
671
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 47.195, "peak_allocated_GiB": 34.4, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
672
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.21, "reserved_GiB": 47.082, "peak_allocated_GiB": 34.406, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.872, "device_total_GiB": 79.189}
673
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.154, "reserved_GiB": 47.615, "peak_allocated_GiB": 34.362, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
674
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 47.301, "peak_allocated_GiB": 34.459, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
675
+
676
  2%|▏ | 1/50 [00:50<41:21, 50.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.135, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.493, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
677
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.162, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.192, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
678
+
679
  4%|▍ | 2/50 [01:05<23:41, 29.62s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.134, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.441, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
680
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.257, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.486, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.872, "device_total_GiB": 79.189}
681
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.163, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.168, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
682
+
683
  6%|β–Œ | 3/50 [01:21<18:21, 23.44s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.257, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.563, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
684
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.2, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.475, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
685
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.229, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.386, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.872, "device_total_GiB": 79.189}
686
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.162, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.194, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
687
+
688
  8%|β–Š | 4/50 [01:46<18:27, 24.08s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.153, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.407, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
689
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.173, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.513, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
690
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.181, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.573, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
691
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.148, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
692
+
693
  10%|β–ˆ | 5/50 [02:02<15:43, 20.98s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.181, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.497, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
694
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.163, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.413, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
695
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.21, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
696
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.115, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.093, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
697
+
698
  12%|β–ˆβ– | 6/50 [02:17<13:54, 18.97s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.238, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.414, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
699
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.22, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.544, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
700
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.2, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.432, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
701
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.143, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.179, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
702
+
703
  14%|β–ˆβ– | 7/50 [02:31<12:33, 17.52s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
704
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.238, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.63, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
705
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.21, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.628, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
706
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.411, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
707
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.191, "reserved_GiB": 47.301, "peak_allocated_GiB": 36.538, "peak_reserved_GiB": 47.301, "device_free_GiB": 25.651, "device_total_GiB": 79.189}
708
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.153, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.137, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
709
+
710
  16%|β–ˆβ–Œ | 8/50 [02:47<11:52, 16.97s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.219, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.505, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
711
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.219, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.538, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
712
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.248, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.51, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
713
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.181, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.251, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
714
+
715
  18%|β–ˆβ–Š | 9/50 [03:01<10:57, 16.04s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.633, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.649, "device_total_GiB": 79.189}
716
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.553, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.649, "device_total_GiB": 79.189}
717
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.472, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.757, "device_total_GiB": 79.189}
718
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.379, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.87, "device_total_GiB": 79.189}
719
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.154, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.114, "peak_reserved_GiB": 47.615, "device_free_GiB": 25.337, "device_total_GiB": 79.189}
720
+
721
  20%|β–ˆβ–ˆ | 10/50 [03:17<10:36, 15.91s/it][TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.472, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.284, "device_total_GiB": 79.189}
722
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.553, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
723
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.21, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.379, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
724
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.154, "reserved_GiB": 47.615, "peak_allocated_GiB": 36.114, "peak_reserved_GiB": 47.615, "device_free_GiB": 24.864, "device_total_GiB": 79.189}
725
+
726
 
727
+
728
  20%|β–ˆβ–ˆ | 10/50 [03:17<10:36, 15.91s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.106, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.107, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
729
+
730
  22%|β–ˆβ–ˆβ– | 11/50 [03:32<10:15, 15.77s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.52, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
731
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.162, "reserved_GiB": 47.195, "peak_allocated_GiB": 36.394, "peak_reserved_GiB": 47.195, "device_free_GiB": 25.284, "device_total_GiB": 79.189}
732
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.153, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.366, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
733
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.192, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.258, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.191, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.482, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.172, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.534, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
734
+
735
+
736
+
737
  24%|οΏ½οΏ½οΏ½β–ˆβ– | 12/50 [03:47<09:50, 15.53s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.181, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.341, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
738
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.248, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.48, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
739
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.577, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
740
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.201, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.287, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
741
+
742
  26%|β–ˆβ–ˆβ–Œ | 13/50 [04:02<09:22, 15.20s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.52, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
743
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.632, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
744
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.229, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.26, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
745
+
746
  28%|β–ˆβ–ˆβ–Š | 14/50 [04:16<08:55, 14.86s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.536, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
747
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.451, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
748
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.2, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.449, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
749
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.077, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.31, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
750
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.181, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.573, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
751
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.125, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.128, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
752
+
753
  30%|β–ˆβ–ˆβ–ˆ | 15/50 [04:30<08:36, 14.76s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.172, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.217, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
754
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.126, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.438, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
755
+
756
  32%|β–ˆβ–ˆβ–ˆβ– | 16/50 [04:45<08:20, 14.71s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.219, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.488, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
757
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.163, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.516, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
758
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.191, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.391, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
759
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.143, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.388, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
760
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.162, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.135, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
761
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.57, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
762
+
763
  34%|β–ˆβ–ˆβ–ˆβ– | 17/50 [05:00<08:15, 15.02s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.106, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.456, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
764
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.248, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.459, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
765
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.154, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.158, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
766
+
767
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 18/50 [05:15<07:58, 14.95s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.192, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.457, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
768
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.134, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.365, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
769
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.257, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.548, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.105, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.121, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
770
+
771
+
772
  38%|β–ˆβ–ˆβ–ˆβ–Š | 19/50 [05:30<07:40, 14.86s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.532, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
773
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.139, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
774
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.36, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
775
+
776
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:45<07:30, 15.03s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.124, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.405, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
777
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.524, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
778
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.36, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.139, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
779
+
780
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.124, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.405, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
781
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.524, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
782
+
783
 
784
+
785
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [05:45<07:30, 15.03s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.181, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.51, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
786
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.135, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.082, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
787
+
788
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 21/50 [06:00<07:14, 14.98s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.326, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
789
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.192, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.466, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
790
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.181, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.493, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
791
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.181, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.237, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.53, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
792
+
793
+
794
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 22/50 [06:14<06:50, 14.67s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.63, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
795
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.624, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
796
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.181, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.203, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
797
+
798
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 23/50 [06:28<06:30, 14.47s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.497, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
799
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.548, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
800
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.172, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.357, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
801
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.476, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
802
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.143, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.175, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
803
+
804
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/50 [06:44<06:25, 14.82s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.125, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.371, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
805
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.181, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.241, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
806
+
807
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 25/50 [06:58<06:04, 14.57s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.592, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
808
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.257, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.453, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
809
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.21, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.569, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
810
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.248, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.511, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
811
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.125, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.411, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
812
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.162, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.185, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
813
+
814
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 26/50 [07:12<05:50, 14.58s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.608, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
815
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.219, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.455, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
816
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.191, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.519, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
817
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.162, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.189, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
818
+
819
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 27/50 [07:27<05:37, 14.67s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
820
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.229, "reserved_GiB": 47.082, "peak_allocated_GiB": 36.504, "peak_reserved_GiB": 47.082, "device_free_GiB": 25.397, "device_total_GiB": 79.189}
821
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.2, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.554, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
822
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.21, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.243, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
823
+
824
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 28/50 [07:42<05:22, 14.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.572, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
825
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.135, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.186, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
826
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.229, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.474, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
827
+
828
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 29/50 [07:57<05:11, 14.81s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.595, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
829
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.153, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.46, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
830
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.328, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
831
+
832
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:12<04:56, 14.83s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.66, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
833
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.451, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
834
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.602, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
835
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.66, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
836
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.328, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
837
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.451, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
838
+
839
 
840
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.602, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
841
+
842
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [08:12<04:56, 14.83s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 31, "allocated_GiB": 24.172, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.16, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
843
+
844
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/50 [08:26<04:39, 14.72s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.22, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.434, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
845
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.526, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
846
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 31, "allocated_GiB": 24.181, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.438, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
847
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 32, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.491, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
848
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 32, "allocated_GiB": 24.144, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.214, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 32, "allocated_GiB": 24.124, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.373, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
849
+
850
+
851
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/50 [08:42<04:28, 14.90s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.172, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.492, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
852
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 33, "allocated_GiB": 24.135, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.246, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
853
+
854
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 33/50 [08:57<04:13, 14.92s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.21, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.653, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
855
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.489, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
856
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 33, "allocated_GiB": 24.191, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.582, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
857
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 34, "allocated_GiB": 24.143, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.549, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
858
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.2, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.436, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
859
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 34, "allocated_GiB": 24.172, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.602, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
860
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 34, "allocated_GiB": 24.182, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.256, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
861
+
862
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 34/50 [09:12<04:01, 15.12s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 35, "allocated_GiB": 24.181, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.519, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
863
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.635, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
864
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 35, "allocated_GiB": 24.153, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.184, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
865
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.462, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
866
+
867
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 35/50 [09:27<03:44, 14.99s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 36, "allocated_GiB": 24.219, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.461, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
868
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 36, "allocated_GiB": 24.181, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.262, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
869
+
870
  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36/50 [09:41<03:27, 14.83s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 36, "allocated_GiB": 24.191, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.465, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
871
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 36, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.562, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
872
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 37, "allocated_GiB": 24.219, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.557, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
873
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 37, "allocated_GiB": 24.229, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.65, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
874
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 37, "allocated_GiB": 24.248, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.523, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
875
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 37, "allocated_GiB": 24.201, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.28, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
876
+
877
  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/50 [09:56<03:12, 14.83s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 38, "allocated_GiB": 24.191, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.386, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
878
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 38, "allocated_GiB": 24.115, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.347, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
879
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 38, "allocated_GiB": 24.125, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.408, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
880
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 38, "allocated_GiB": 24.106, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.072, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
881
+
882
  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 38/50 [10:12<03:00, 15.07s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 39, "allocated_GiB": 24.115, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.024, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
883
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 39, "allocated_GiB": 24.162, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.459, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
884
+
885
  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/50 [10:28<02:47, 15.27s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.2, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.377, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
886
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 39, "allocated_GiB": 24.124, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.339, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
887
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 40, "allocated_GiB": 24.163, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.178, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
888
+
889
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [10:42<02:30, 15.03s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 40, "allocated_GiB": 24.172, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.46, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
890
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.596, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
891
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 40, "allocated_GiB": 24.192, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.436, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
892
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 40, "allocated_GiB": 24.163, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.178, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
893
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 40, "allocated_GiB": 24.172, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.46, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
894
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 40, "allocated_GiB": 24.181, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.596, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
895
 
896
+
897
+
898
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [10:42<02:30, 15.03s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.192, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.436, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
899
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 41, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.532, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
900
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 41, "allocated_GiB": 24.238, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.424, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
901
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 41, "allocated_GiB": 24.2, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.448, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
902
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 41, "allocated_GiB": 24.181, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.188, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
903
+
904
  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/50 [10:56<02:13, 14.80s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.545, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
905
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 42, "allocated_GiB": 24.248, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.639, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
906
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.294, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
907
+
908
  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 42/50 [11:10<01:56, 14.57s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.515, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
909
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 43, "allocated_GiB": 24.173, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.206, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
910
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 43, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.436, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
911
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 43, "allocated_GiB": 24.181, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.496, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
912
+
913
  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/50 [11:25<01:42, 14.66s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 43, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.542, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
914
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 44, "allocated_GiB": 24.181, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.247, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.686, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
915
+
916
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.595, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
917
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.451, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
918
+
919
  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 44/50 [11:39<01:26, 14.39s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.219, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.399, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
920
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 45, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.501, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
921
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 45, "allocated_GiB": 24.201, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.449, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
922
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 45, "allocated_GiB": 24.096, "reserved_GiB": 47.617, "peak_allocated_GiB": 35.923, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
923
+
924
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 45/50 [11:55<01:14, 14.82s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 46, "allocated_GiB": 24.2, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.461, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
925
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 46, "allocated_GiB": 24.173, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.17, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
926
+
927
  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 46/50 [12:09<00:58, 14.74s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.614, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
928
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.438, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
929
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 47, "allocated_GiB": 24.191, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.406, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
930
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 47, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.597, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
931
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 47, "allocated_GiB": 24.172, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.528, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
932
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 47, "allocated_GiB": 24.201, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.292, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
933
+
934
  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 47/50 [12:25<00:44, 14.86s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.577, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
935
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.476, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
936
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 48, "allocated_GiB": 24.238, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.442, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
937
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 48, "allocated_GiB": 24.182, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.15, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
938
+
939
  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 48/50 [12:39<00:29, 14.81s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 49, "allocated_GiB": 24.172, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.17, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 49, "allocated_GiB": 24.154, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.432, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
940
+
941
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 49, "allocated_GiB": 24.181, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.357, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
942
+
943
  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 49/50 [12:57<00:15, 15.68s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 49, "allocated_GiB": 24.191, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.562, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
944
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.665, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
945
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.479, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
946
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.345, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
947
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.593, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
948
+
949
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.479, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
950
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.593, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
951
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.345, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
952
+
953
 
954
+
955
+
956
+
957
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 47.303, "peak_allocated_GiB": 36.665, "peak_reserved_GiB": 47.303, "device_free_GiB": 25.177, "device_total_GiB": 79.189}
958
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 47.197, "peak_allocated_GiB": 36.593, "peak_reserved_GiB": 47.197, "device_free_GiB": 25.282, "device_total_GiB": 79.189}
959
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 47.084, "peak_allocated_GiB": 36.479, "peak_reserved_GiB": 47.084, "device_free_GiB": 25.395, "device_total_GiB": 79.189}
960
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 47.617, "peak_allocated_GiB": 36.345, "peak_reserved_GiB": 47.617, "device_free_GiB": 24.862, "device_total_GiB": 79.189}
961
+
962
 
963
+
964
+
965
+ [rank0]:[W918 03:20:44.280803534 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())
speed_fixed_bs8/train.log ADDED
@@ -0,0 +1,919 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, 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)]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  2%|▏ | 1/50 [01:31<1:14:24, 91.11s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 59.674, "peak_allocated_GiB": 34.767, "peak_reserved_GiB": 59.674, "device_free_GiB": 13.21, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
 
 
 
 
2
  4%|▍ | 2/50 [01:47<37:45, 47.20s/it] [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.192, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.224, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.796, "device_total_GiB": 79.189}
 
 
3
  6%|β–Œ | 3/50 [02:04<25:59, 33.17s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.116, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
 
 
 
 
4
  8%|β–Š | 4/50 [02:28<22:51, 29.81s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.838, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
 
 
 
 
 
5
  10%|β–ˆ | 5/50 [02:45<18:47, 25.06s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.183, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.961, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
 
 
 
6
  12%|β–ˆβ– | 6/50 [03:01<16:16, 22.19s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.238, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.108, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
7
  14%|β–ˆβ– | 7/50 [03:18<14:30, 20.25s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.23, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
 
 
 
 
8
  16%|β–ˆβ–Œ | 8/50 [04:00<19:11, 27.41s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.065, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
 
 
9
  18%|β–ˆβ–Š | 9/50 [04:17<16:22, 23.97s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.181, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.238, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
 
 
 
 
 
10
  20%|β–ˆβ–ˆ | 10/50 [04:33<14:25, 21.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
 
 
 
 
 
 
11
 
 
12
  20%|β–ˆβ–ˆ | 10/50 [04:34<14:25, 21.64s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.53, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
 
13
  22%|β–ˆβ–ˆβ– | 11/50 [04:50<13:04, 20.12s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.125, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.786, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
14
  24%|β–ˆβ–ˆβ– | 12/50 [05:07<12:05, 19.08s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.145, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.859, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
15
  26%|β–ˆβ–ˆβ–Œ | 13/50 [05:23<11:16, 18.27s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.211, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.28, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
16
  28%|β–ˆβ–ˆβ–Š | 14/50 [05:38<10:19, 17.21s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.171, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
17
  30%|β–ˆβ–ˆβ–ˆ | 15/50 [05:54<09:49, 16.85s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.604, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
 
18
  32%|β–ˆβ–ˆβ–ˆβ– | 16/50 [06:10<09:27, 16.70s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.211, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.978, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
19
  34%|β–ˆβ–ˆβ–ˆβ– | 17/50 [06:27<09:10, 16.67s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.134, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.852, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
20
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 18/50 [06:44<08:55, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.135, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.796, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
 
21
  38%|β–ˆβ–ˆβ–ˆβ–Š | 19/50 [07:00<08:33, 16.56s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.627, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
22
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [07:16<08:14, 16.49s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
23
 
 
24
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [07:16<08:14, 16.49s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
25
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 21/50 [07:32<07:55, 16.40s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.184, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
 
 
26
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 22/50 [07:48<07:36, 16.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.282, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
27
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 23/50 [08:03<07:03, 15.69s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.328, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
 
 
28
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/50 [08:19<06:52, 15.87s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.366, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
 
29
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 25/50 [08:35<06:37, 15.92s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.919, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
30
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 26/50 [08:52<06:29, 16.23s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
 
31
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 27/50 [09:09<06:17, 16.40s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.12, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
 
32
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 28/50 [09:26<06:03, 16.54s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.174, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.017, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
33
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 29/50 [09:42<05:49, 16.63s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.984, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
34
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [09:59<05:34, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
35
 
 
 
 
36
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [09:59<05:34, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
37
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/50 [10:16<05:16, 16.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.077, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
38
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/50 [10:33<04:59, 16.65s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.144, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.875, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
39
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 33/50 [10:49<04:41, 16.59s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 33, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.962, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
 
40
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 34/50 [11:06<04:27, 16.74s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.22, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.092, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
41
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 35/50 [11:22<04:08, 16.56s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.443, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
42
  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36/50 [11:39<03:52, 16.59s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 36, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.415, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
43
  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/50 [11:56<03:38, 16.81s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 37, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.24, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
 
44
  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 38/50 [12:12<03:18, 16.53s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 38, "allocated_GiB": 24.117, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.702, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
45
  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/50 [12:29<03:03, 16.70s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 39, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.828, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
 
46
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [12:46<02:46, 16.66s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 40, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.35, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
47
 
 
48
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [12:46<02:46, 16.66s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.633, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
49
  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/50 [13:02<02:29, 16.56s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 41, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.274, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
 
 
50
  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 42/50 [13:17<02:09, 16.17s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
51
  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/50 [13:34<01:54, 16.37s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 43, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.135, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
52
  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 44/50 [13:48<01:34, 15.75s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 44, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.449, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
 
 
53
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 45/50 [14:05<01:20, 16.05s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 46, "allocated_GiB": 24.173, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.676, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
 
54
  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 46/50 [14:22<01:04, 16.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 46, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.078, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
55
  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 47/50 [14:39<00:49, 16.37s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 47, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.007, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
 
 
 
 
 
56
  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 48/50 [14:56<00:33, 16.61s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.16, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
 
 
 
57
  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 49/50 [15:12<00:16, 16.61s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 49, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.888, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
 
 
 
 
 
 
 
 
 
 
 
58
 
 
 
 
 
 
 
59
 
 
 
 
 
 
 
1
+ [INFO] Running in WANDB offline mode
2
+ [INFO] Running in WANDB offline mode
3
+ [INFO] Running in WANDB offline mode
4
+ [INFO] Running in WANDB offline mode
5
+ Trainer._get_train_sampler replaced with custom implementation.
6
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
7
+ Trainer._get_train_sampler replaced with custom implementation.
8
+ [2026-09-18 03:20:55,773] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
9
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
10
+ [2026-09-18 03:20:55,815] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
11
+ [2026-09-18 03:20:56,088] [INFO] [comm.py:658:init_distributed] cdb=None
12
+ [2026-09-18 03:20:56,088] [INFO] [comm.py:689:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
13
+ Trainer._get_train_sampler replaced with custom implementation.
14
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
15
+ [2026-09-18 03:20:56,120] [INFO] [comm.py:658:init_distributed] cdb=None
16
+ [2026-09-18 03:20:56,137] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
17
+ Trainer._get_train_sampler replaced with custom implementation.
18
+ warmup_ratio is deprecated and will be removed in v5.2. Use `warmup_steps` instead.
19
+ [2026-09-18 03:20:56,191] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
20
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
21
+ [2026-09-18 03:20:56,439] [INFO] [comm.py:658:init_distributed] cdb=None
22
+ [2026-09-18 03:20:56,497] [INFO] [comm.py:658:init_distributed] cdb=None
23
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
24
+
25
+
26
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
27
+ [TrainingFix] Qwen3.5 FlashAttention MRoPE packing guard enabled
28
+
29
+
30
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
31
+ [FeatureFusion] geometry fusion delta scaled by 0.5
32
+ [FeatureFusion] importance gate ENABLED on geometry delta
33
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
34
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
35
+ [FeatureFusion] geometry fusion delta scaled by 0.5
36
+ [FeatureFusion] importance gate ENABLED on geometry delta
37
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
38
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
39
+ [FeatureFusion] geometry fusion delta scaled by 0.5
40
+ [FeatureFusion] importance gate ENABLED on geometry delta
41
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
42
+ [VGGTEncoder] eval KV-cache window: start=8 recent=48 (total=56 frames)
43
+ [FeatureFusion] geometry fusion delta scaled by 0.5
44
+ [FeatureFusion] importance gate ENABLED on geometry delta
45
+ [FeatureFusion] learnable geometry scale ENABLED (init 0.5)
46
+ Loading weights from local directory
47
+ Loading weights from local directory
48
+ Loading weights from local directory
49
+ Loading weights from local directory
50
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
51
+ Qwen3_5Config {
52
+ "architectures": [
53
+ "Qwen3_5ForConditionalGeneration"
54
+ ],
55
+ "dtype": "bfloat16",
56
+ "feature_fusion_method": "deepstack_language_add",
57
+ "fusion_num_layers": 1,
58
+ "geometry_encoder_layers": [
59
+ 11,
60
+ 17,
61
+ 23
62
+ ],
63
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
64
+ "geometry_encoder_streaming": true,
65
+ "geometry_encoder_type": "vggt",
66
+ "geometry_frame_strict": true,
67
+ "geometry_fusion_layers": [
68
+ 0,
69
+ 1,
70
+ 2
71
+ ],
72
+ "geometry_fusion_scale": 0.5,
73
+ "geometry_importance_gate": true,
74
+ "geometry_learnable_scale": true,
75
+ "geometry_merger_type": "mlp",
76
+ "geometry_spatial_bias": false,
77
+ "image_token_id": 248056,
78
+ "include_camera_token": false,
79
+ "model_type": "qwen3_5",
80
+ "pos_encoding_type": "none",
81
+ "reference_frame": "first",
82
+ "supervised_token_loss": true,
83
+ "text_config": {
84
+ "attention_bias": false,
85
+ "attention_dropout": 0.0,
86
+ "attn_output_gate": true,
87
+ "bos_token_id": null,
88
+ "dtype": "bfloat16",
89
+ "eos_token_id": 248044,
90
+ "full_attention_interval": 4,
91
+ "head_dim": 256,
92
+ "hidden_act": "silu",
93
+ "hidden_size": 2560,
94
+ "initializer_range": 0.02,
95
+ "intermediate_size": 9216,
96
+ "layer_types": [
97
+ "linear_attention",
98
+ "linear_attention",
99
+ "linear_attention",
100
+ "full_attention",
101
+ "linear_attention",
102
+ "linear_attention",
103
+ "linear_attention",
104
+ "full_attention",
105
+ "linear_attention",
106
+ "linear_attention",
107
+ "linear_attention",
108
+ "full_attention",
109
+ "linear_attention",
110
+ "linear_attention",
111
+ "linear_attention",
112
+ "full_attention",
113
+ "linear_attention",
114
+ "linear_attention",
115
+ "linear_attention",
116
+ "full_attention",
117
+ "linear_attention",
118
+ "linear_attention",
119
+ "linear_attention",
120
+ "full_attention",
121
+ "linear_attention",
122
+ "linear_attention",
123
+ "linear_attention",
124
+ "full_attention",
125
+ "linear_attention",
126
+ "linear_attention",
127
+ "linear_attention",
128
+ "full_attention"
129
+ ],
130
+ "linear_conv_kernel_dim": 4,
131
+ "linear_key_head_dim": 128,
132
+ "linear_num_key_heads": 16,
133
+ "linear_num_value_heads": 32,
134
+ "linear_value_head_dim": 128,
135
+ "mamba_ssm_dtype": "float32",
136
+ "max_position_embeddings": 262144,
137
+ "mlp_only_layers": [],
138
+ "model_type": "qwen3_5_text",
139
+ "mtp_num_hidden_layers": 1,
140
+ "mtp_use_dedicated_embeddings": false,
141
+ "num_attention_heads": 16,
142
+ "num_hidden_layers": 32,
143
+ "num_key_value_heads": 4,
144
+ "pad_token_id": null,
145
+ "partial_rotary_factor": 0.25,
146
+ "rms_norm_eps": 1e-06,
147
+ "rope_parameters": {
148
+ "mrope_interleaved": true,
149
+ "mrope_section": [
150
+ 11,
151
+ 11,
152
+ 10
153
+ ],
154
+ "partial_rotary_factor": 0.25,
155
+ "rope_theta": 10000000,
156
+ "rope_type": "default"
157
+ },
158
+ "tie_word_embeddings": true,
159
+ "use_cache": true,
160
+ "vocab_size": 248320
161
+ },
162
+ "tie_word_embeddings": true,
163
+ "transformers_version": "5.3.0",
164
+ "use_cache": false,
165
+ "use_geometry_encoder": true,
166
+ "video_token_id": 248057,
167
+ "vision_config": {
168
+ "deepstack_visual_indexes": [],
169
+ "depth": 24,
170
+ "dtype": "bfloat16",
171
+ "hidden_act": "gelu_pytorch_tanh",
172
+ "hidden_size": 1024,
173
+ "in_channels": 3,
174
+ "initializer_range": 0.02,
175
+ "intermediate_size": 4096,
176
+ "model_type": "qwen3_5",
177
+ "num_heads": 16,
178
+ "num_position_embeddings": 2304,
179
+ "out_hidden_size": 2560,
180
+ "patch_size": 16,
181
+ "spatial_merge_size": 2,
182
+ "temporal_patch_size": 2
183
+ },
184
+ "vision_end_token_id": 248054,
185
+ "vision_language_fusion_layers": null,
186
+ "vision_start_token_id": 248053
187
+ }
188
+
189
+ 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'}]
190
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
191
+ Qwen3_5Config {
192
+ "architectures": [
193
+ "Qwen3_5ForConditionalGeneration"
194
+ ],
195
+ "dtype": "bfloat16",
196
+ "feature_fusion_method": "deepstack_language_add",
197
+ "fusion_num_layers": 1,
198
+ "geometry_encoder_layers": [
199
+ 11,
200
+ 17,
201
+ 23
202
+ ],
203
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
204
+ "geometry_encoder_streaming": true,
205
+ "geometry_encoder_type": "vggt",
206
+ "geometry_frame_strict": true,
207
+ "geometry_fusion_layers": [
208
+ 0,
209
+ 1,
210
+ 2
211
+ ],
212
+ "geometry_fusion_scale": 0.5,
213
+ "geometry_importance_gate": true,
214
+ "geometry_learnable_scale": true,
215
+ "geometry_merger_type": "mlp",
216
+ "geometry_spatial_bias": false,
217
+ "image_token_id": 248056,
218
+ "include_camera_token": false,
219
+ "model_type": "qwen3_5",
220
+ "pos_encoding_type": "none",
221
+ "reference_frame": "first",
222
+ "supervised_token_loss": true,
223
+ "text_config": {
224
+ "attention_bias": false,
225
+ "attention_dropout": 0.0,
226
+ "attn_output_gate": true,
227
+ "bos_token_id": null,
228
+ "dtype": "bfloat16",
229
+ "eos_token_id": 248044,
230
+ "full_attention_interval": 4,
231
+ "head_dim": 256,
232
+ "hidden_act": "silu",
233
+ "hidden_size": 2560,
234
+ "initializer_range": 0.02,
235
+ "intermediate_size": 9216,
236
+ "layer_types": [
237
+ "linear_attention",
238
+ "linear_attention",
239
+ "linear_attention",
240
+ "full_attention",
241
+ "linear_attention",
242
+ "linear_attention",
243
+ "linear_attention",
244
+ "full_attention",
245
+ "linear_attention",
246
+ "linear_attention",
247
+ "linear_attention",
248
+ "full_attention",
249
+ "linear_attention",
250
+ "linear_attention",
251
+ "linear_attention",
252
+ "full_attention",
253
+ "linear_attention",
254
+ "linear_attention",
255
+ "linear_attention",
256
+ "full_attention",
257
+ "linear_attention",
258
+ "linear_attention",
259
+ "linear_attention",
260
+ "full_attention",
261
+ "linear_attention",
262
+ "linear_attention",
263
+ "linear_attention",
264
+ "full_attention",
265
+ "linear_attention",
266
+ "linear_attention",
267
+ "linear_attention",
268
+ "full_attention"
269
+ ],
270
+ "linear_conv_kernel_dim": 4,
271
+ "linear_key_head_dim": 128,
272
+ "linear_num_key_heads": 16,
273
+ "linear_num_value_heads": 32,
274
+ "linear_value_head_dim": 128,
275
+ "mamba_ssm_dtype": "float32",
276
+ "max_position_embeddings": 262144,
277
+ "mlp_only_layers": [],
278
+ "model_type": "qwen3_5_text",
279
+ "mtp_num_hidden_layers": 1,
280
+ "mtp_use_dedicated_embeddings": false,
281
+ "num_attention_heads": 16,
282
+ "num_hidden_layers": 32,
283
+ "num_key_value_heads": 4,
284
+ "pad_token_id": null,
285
+ "partial_rotary_factor": 0.25,
286
+ "rms_norm_eps": 1e-06,
287
+ "rope_parameters": {
288
+ "mrope_interleaved": true,
289
+ "mrope_section": [
290
+ 11,
291
+ 11,
292
+ 10
293
+ ],
294
+ "partial_rotary_factor": 0.25,
295
+ "rope_theta": 10000000,
296
+ "rope_type": "default"
297
+ },
298
+ "tie_word_embeddings": true,
299
+ "use_cache": true,
300
+ "vocab_size": 248320
301
+ },
302
+ "tie_word_embeddings": true,
303
+ "transformers_version": "5.3.0",
304
+ "use_cache": false,
305
+ "use_geometry_encoder": true,
306
+ "video_token_id": 248057,
307
+ "vision_config": {
308
+ "deepstack_visual_indexes": [],
309
+ "depth": 24,
310
+ "dtype": "bfloat16",
311
+ "hidden_act": "gelu_pytorch_tanh",
312
+ "hidden_size": 1024,
313
+ "in_channels": 3,
314
+ "initializer_range": 0.02,
315
+ "intermediate_size": 4096,
316
+ "model_type": "qwen3_5",
317
+ "num_heads": 16,
318
+ "num_position_embeddings": 2304,
319
+ "out_hidden_size": 2560,
320
+ "patch_size": 16,
321
+ "spatial_merge_size": 2,
322
+ "temporal_patch_size": 2
323
+ },
324
+ "vision_end_token_id": 248054,
325
+ "vision_language_fusion_layers": null,
326
+ "vision_start_token_id": 248053
327
+ }
328
+
329
+ 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'}]
330
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
331
+ Qwen3_5Config {
332
+ "architectures": [
333
+ "Qwen3_5ForConditionalGeneration"
334
+ ],
335
+ "dtype": "bfloat16",
336
+ "feature_fusion_method": "deepstack_language_add",
337
+ "fusion_num_layers": 1,
338
+ "geometry_encoder_layers": [
339
+ 11,
340
+ 17,
341
+ 23
342
+ ],
343
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
344
+ "geometry_encoder_streaming": true,
345
+ "geometry_encoder_type": "vggt",
346
+ "geometry_frame_strict": true,
347
+ "geometry_fusion_layers": [
348
+ 0,
349
+ 1,
350
+ 2
351
+ ],
352
+ "geometry_fusion_scale": 0.5,
353
+ "geometry_importance_gate": true,
354
+ "geometry_learnable_scale": true,
355
+ "geometry_merger_type": "mlp",
356
+ "geometry_spatial_bias": false,
357
+ "image_token_id": 248056,
358
+ "include_camera_token": false,
359
+ "model_type": "qwen3_5",
360
+ "pos_encoding_type": "none",
361
+ "reference_frame": "first",
362
+ "supervised_token_loss": true,
363
+ "text_config": {
364
+ "attention_bias": false,
365
+ "attention_dropout": 0.0,
366
+ "attn_output_gate": true,
367
+ "bos_token_id": null,
368
+ "dtype": "bfloat16",
369
+ "eos_token_id": 248044,
370
+ "full_attention_interval": 4,
371
+ "head_dim": 256,
372
+ "hidden_act": "silu",
373
+ "hidden_size": 2560,
374
+ "initializer_range": 0.02,
375
+ "intermediate_size": 9216,
376
+ "layer_types": [
377
+ "linear_attention",
378
+ "linear_attention",
379
+ "linear_attention",
380
+ "full_attention",
381
+ "linear_attention",
382
+ "linear_attention",
383
+ "linear_attention",
384
+ "full_attention",
385
+ "linear_attention",
386
+ "linear_attention",
387
+ "linear_attention",
388
+ "full_attention",
389
+ "linear_attention",
390
+ "linear_attention",
391
+ "linear_attention",
392
+ "full_attention",
393
+ "linear_attention",
394
+ "linear_attention",
395
+ "linear_attention",
396
+ "full_attention",
397
+ "linear_attention",
398
+ "linear_attention",
399
+ "linear_attention",
400
+ "full_attention",
401
+ "linear_attention",
402
+ "linear_attention",
403
+ "linear_attention",
404
+ "full_attention",
405
+ "linear_attention",
406
+ "linear_attention",
407
+ "linear_attention",
408
+ "full_attention"
409
+ ],
410
+ "linear_conv_kernel_dim": 4,
411
+ "linear_key_head_dim": 128,
412
+ "linear_num_key_heads": 16,
413
+ "linear_num_value_heads": 32,
414
+ "linear_value_head_dim": 128,
415
+ "mamba_ssm_dtype": "float32",
416
+ "max_position_embeddings": 262144,
417
+ "mlp_only_layers": [],
418
+ "model_type": "qwen3_5_text",
419
+ "mtp_num_hidden_layers": 1,
420
+ "mtp_use_dedicated_embeddings": false,
421
+ "num_attention_heads": 16,
422
+ "num_hidden_layers": 32,
423
+ "num_key_value_heads": 4,
424
+ "pad_token_id": null,
425
+ "partial_rotary_factor": 0.25,
426
+ "rms_norm_eps": 1e-06,
427
+ "rope_parameters": {
428
+ "mrope_interleaved": true,
429
+ "mrope_section": [
430
+ 11,
431
+ 11,
432
+ 10
433
+ ],
434
+ "partial_rotary_factor": 0.25,
435
+ "rope_theta": 10000000,
436
+ "rope_type": "default"
437
+ },
438
+ "tie_word_embeddings": true,
439
+ "use_cache": true,
440
+ "vocab_size": 248320
441
+ },
442
+ "tie_word_embeddings": true,
443
+ "transformers_version": "5.3.0",
444
+ "use_cache": false,
445
+ "use_geometry_encoder": true,
446
+ "video_token_id": 248057,
447
+ "vision_config": {
448
+ "deepstack_visual_indexes": [],
449
+ "depth": 24,
450
+ "dtype": "bfloat16",
451
+ "hidden_act": "gelu_pytorch_tanh",
452
+ "hidden_size": 1024,
453
+ "in_channels": 3,
454
+ "initializer_range": 0.02,
455
+ "intermediate_size": 4096,
456
+ "model_type": "qwen3_5",
457
+ "num_heads": 16,
458
+ "num_position_embeddings": 2304,
459
+ "out_hidden_size": 2560,
460
+ "patch_size": 16,
461
+ "spatial_merge_size": 2,
462
+ "temporal_patch_size": 2
463
+ },
464
+ "vision_end_token_id": 248054,
465
+ "vision_language_fusion_layers": null,
466
+ "vision_start_token_id": 248053
467
+ }
468
+
469
+ 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'}]
470
+ >>>>> STOP loss up-weight: 3.0 on token ids [48964]
471
+ Vision Module - Attention Blocks:
472
+ Trainable Block Indices: None
473
+ 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]
474
+ Merger Module Trainable: True
475
+ LLM Module - Embed Tokens Trainable: True
476
+ 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]
477
+ LLM Module - Non-Trainable Layer Indices: None
478
+ Qwen3_5Config {
479
+ "architectures": [
480
+ "Qwen3_5ForConditionalGeneration"
481
+ ],
482
+ "dtype": "bfloat16",
483
+ "feature_fusion_method": "deepstack_language_add",
484
+ "fusion_num_layers": 1,
485
+ "geometry_encoder_layers": [
486
+ 11,
487
+ 17,
488
+ 23
489
+ ],
490
+ "geometry_encoder_path": "/mnt/data/vmo-ai-task/dungpq6/model-checkpoint/VGGT-1B",
491
+ "geometry_encoder_streaming": true,
492
+ "geometry_encoder_type": "vggt",
493
+ "geometry_frame_strict": true,
494
+ "geometry_fusion_layers": [
495
+ 0,
496
+ 1,
497
+ 2
498
+ ],
499
+ "geometry_fusion_scale": 0.5,
500
+ "geometry_importance_gate": true,
501
+ "geometry_learnable_scale": true,
502
+ "geometry_merger_type": "mlp",
503
+ "geometry_spatial_bias": false,
504
+ "image_token_id": 248056,
505
+ "include_camera_token": false,
506
+ "model_type": "qwen3_5",
507
+ "pos_encoding_type": "none",
508
+ "reference_frame": "first",
509
+ "supervised_token_loss": true,
510
+ "text_config": {
511
+ "attention_bias": false,
512
+ "attention_dropout": 0.0,
513
+ "attn_output_gate": true,
514
+ "bos_token_id": null,
515
+ "dtype": "bfloat16",
516
+ "eos_token_id": 248044,
517
+ "full_attention_interval": 4,
518
+ "head_dim": 256,
519
+ "hidden_act": "silu",
520
+ "hidden_size": 2560,
521
+ "initializer_range": 0.02,
522
+ "intermediate_size": 9216,
523
+ "layer_types": [
524
+ "linear_attention",
525
+ "linear_attention",
526
+ "linear_attention",
527
+ "full_attention",
528
+ "linear_attention",
529
+ "linear_attention",
530
+ "linear_attention",
531
+ "full_attention",
532
+ "linear_attention",
533
+ "linear_attention",
534
+ "linear_attention",
535
+ "full_attention",
536
+ "linear_attention",
537
+ "linear_attention",
538
+ "linear_attention",
539
+ "full_attention",
540
+ "linear_attention",
541
+ "linear_attention",
542
+ "linear_attention",
543
+ "full_attention",
544
+ "linear_attention",
545
+ "linear_attention",
546
+ "linear_attention",
547
+ "full_attention",
548
+ "linear_attention",
549
+ "linear_attention",
550
+ "linear_attention",
551
+ "full_attention",
552
+ "linear_attention",
553
+ "linear_attention",
554
+ "linear_attention",
555
+ "full_attention"
556
+ ],
557
+ "linear_conv_kernel_dim": 4,
558
+ "linear_key_head_dim": 128,
559
+ "linear_num_key_heads": 16,
560
+ "linear_num_value_heads": 32,
561
+ "linear_value_head_dim": 128,
562
+ "mamba_ssm_dtype": "float32",
563
+ "max_position_embeddings": 262144,
564
+ "mlp_only_layers": [],
565
+ "model_type": "qwen3_5_text",
566
+ "mtp_num_hidden_layers": 1,
567
+ "mtp_use_dedicated_embeddings": false,
568
+ "num_attention_heads": 16,
569
+ "num_hidden_layers": 32,
570
+ "num_key_value_heads": 4,
571
+ "pad_token_id": null,
572
+ "partial_rotary_factor": 0.25,
573
+ "rms_norm_eps": 1e-06,
574
+ "rope_parameters": {
575
+ "mrope_interleaved": true,
576
+ "mrope_section": [
577
+ 11,
578
+ 11,
579
+ 10
580
+ ],
581
+ "partial_rotary_factor": 0.25,
582
+ "rope_theta": 10000000,
583
+ "rope_type": "default"
584
+ },
585
+ "tie_word_embeddings": true,
586
+ "use_cache": true,
587
+ "vocab_size": 248320
588
+ },
589
+ "tie_word_embeddings": true,
590
+ "transformers_version": "5.3.0",
591
+ "use_cache": false,
592
+ "use_geometry_encoder": true,
593
+ "video_token_id": 248057,
594
+ "vision_config": {
595
+ "deepstack_visual_indexes": [],
596
+ "depth": 24,
597
+ "dtype": "bfloat16",
598
+ "hidden_act": "gelu_pytorch_tanh",
599
+ "hidden_size": 1024,
600
+ "in_channels": 3,
601
+ "initializer_range": 0.02,
602
+ "intermediate_size": 4096,
603
+ "model_type": "qwen3_5",
604
+ "num_heads": 16,
605
+ "num_position_embeddings": 2304,
606
+ "out_hidden_size": 2560,
607
+ "patch_size": 16,
608
+ "spatial_merge_size": 2,
609
+ "temporal_patch_size": 2
610
+ },
611
+ "vision_end_token_id": 248054,
612
+ "vision_language_fusion_layers": null,
613
+ "vision_start_token_id": 248053
614
+ }
615
+
616
+ 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'}]
617
+ Total training samples: 2429620
618
+ Total training samples: 2429620
619
+ Total training samples: 2429620
620
+ Total training samples: 2429620
621
+ Formatting inputs...Skip in lazy mode
622
+ Formatting inputs...Skip in lazy mode
623
+ Formatting inputs...Skip in lazy mode
624
+ Formatting inputs...Skip in lazy mode
625
+ 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}.
626
+ 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}.
627
+ 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}.
628
+ 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}.
629
+ NCCL version 2.26.2+cuda12.2
630
+
631
+ [2026-09-18 03:21:53] worker-1:2232524:2233270 [1] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
632
+
633
+ [2026-09-18 03:21:54] worker-1:2232523:2233271 [0] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
634
+
635
+ [2026-09-18 03:21:54] worker-1:2232526:2233275 [3] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
636
+
637
+ [2026-09-18 03:21:54] worker-1:2232525:2233269 [2] ras/client_support.cc:160 NCCL WARN Call to bind failed: Address already in use
638
+ [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"}
639
+ [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}
640
+ [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"}
641
+ [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}
642
+ [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"}
643
+ [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}
644
+ [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"}
645
+ [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}
646
+
647
  0%| | 0/50 [00:00<?, ?it/s][GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, 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)]
648
+ /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.
649
+ with torch.cuda.amp.autocast(dtype=dtype):
650
+ [GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, 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)]
651
+ /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.
652
+ with torch.cuda.amp.autocast(dtype=dtype):
653
+ [GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, 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)]
654
+ /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.
655
+ with torch.cuda.amp.autocast(dtype=dtype):
656
+ [GeometryBatch] micro_batch=8, mode=per-sample VGGT fallback, 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)]
657
+ /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.
658
+ with torch.cuda.amp.autocast(dtype=dtype):
659
+ /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.
660
+ with torch.cuda.amp.autocast(dtype=dtype):
661
+ /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.
662
+ with torch.cuda.amp.autocast(dtype=dtype):
663
+ /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.
664
+ with torch.cuda.amp.autocast(dtype=dtype):
665
+ [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)]
666
+ /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.
667
+ with torch.cuda.amp.autocast(dtype=dtype):
668
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 1, "allocated_GiB": 24.172, "reserved_GiB": 59.012, "peak_allocated_GiB": 34.603, "peak_reserved_GiB": 59.012, "device_free_GiB": 13.872, "device_total_GiB": 79.189}
669
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 1, "allocated_GiB": 24.219, "reserved_GiB": 60.086, "peak_allocated_GiB": 34.985, "peak_reserved_GiB": 60.086, "device_free_GiB": 12.798, "device_total_GiB": 79.189}
670
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 1, "allocated_GiB": 24.144, "reserved_GiB": 58.639, "peak_allocated_GiB": 34.353, "peak_reserved_GiB": 58.639, "device_free_GiB": 14.245, "device_total_GiB": 79.189}
671
+
672
  2%|▏ | 1/50 [01:31<1:14:24, 91.11s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 1, "allocated_GiB": 24.191, "reserved_GiB": 59.674, "peak_allocated_GiB": 34.767, "peak_reserved_GiB": 59.674, "device_free_GiB": 13.21, "device_total_GiB": 79.189}
673
+ /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.
674
+ with torch.cuda.amp.autocast(dtype=dtype):
675
+ [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)]
676
+ /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.
677
+ with torch.cuda.amp.autocast(dtype=dtype):
678
+ /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.
679
+ with torch.cuda.amp.autocast(dtype=dtype):
680
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 2, "allocated_GiB": 24.125, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.81, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
681
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 2, "allocated_GiB": 24.238, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.052, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.208, "device_total_GiB": 79.189}
682
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 2, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.308, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}
683
+
684
  4%|▍ | 2/50 [01:47<37:45, 47.20s/it] [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 2, "allocated_GiB": 24.192, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.224, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.796, "device_total_GiB": 79.189}
685
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 3, "allocated_GiB": 24.163, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.43, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}
686
+
687
  6%|β–Œ | 3/50 [02:04<25:59, 33.17s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 3, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.116, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
688
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 3, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.212, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.796, "device_total_GiB": 79.189}
689
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 3, "allocated_GiB": 24.21, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.704, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.208, "device_total_GiB": 79.189}
690
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 4, "allocated_GiB": 24.124, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.203, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}
691
+
692
  8%|β–Š | 4/50 [02:28<22:51, 29.81s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 4, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.838, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
693
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 4, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.857, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
694
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 4, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.121, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
695
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 5, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.187, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
696
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 5, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.489, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}
697
+
698
  10%|β–ˆ | 5/50 [02:45<18:47, 25.06s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 5, "allocated_GiB": 24.183, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.961, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
699
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 5, "allocated_GiB": 24.153, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.018, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
700
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 6, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.264, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}
701
+
702
  12%|β–ˆβ– | 6/50 [03:01<16:16, 22.19s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 6, "allocated_GiB": 24.238, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.108, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
703
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 6, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.908, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
704
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 6, "allocated_GiB": 24.229, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.154, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
705
+ [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)]
706
+ /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.
707
+ with torch.cuda.amp.autocast(dtype=dtype):
708
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 7, "allocated_GiB": 24.219, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.942, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.243, "device_total_GiB": 79.189}
709
+
710
  14%|β–ˆβ– | 7/50 [03:18<14:30, 20.25s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 7, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.23, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
711
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 7, "allocated_GiB": 24.192, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.002, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
712
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 7, "allocated_GiB": 24.143, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.148, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
713
+ /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.
714
+ with torch.cuda.amp.autocast(dtype=dtype):
715
+ [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)]
716
+ /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.
717
+ with torch.cuda.amp.autocast(dtype=dtype):
718
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 8, "allocated_GiB": 24.22, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.251, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
719
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 8, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.913, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
720
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 8, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.511, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.241, "device_total_GiB": 79.189}
721
+
722
  16%|β–ˆβ–Œ | 8/50 [04:00<19:11, 27.41s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 8, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.065, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
723
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 9, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.741, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.241, "device_total_GiB": 79.189}
724
+
725
  18%|β–ˆβ–Š | 9/50 [04:17<16:22, 23.97s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 9, "allocated_GiB": 24.181, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.238, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
726
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 9, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.261, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
727
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 9, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.191, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
728
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 59.676, "device_free_GiB": 13.206, "device_total_GiB": 79.189}
729
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.508, "peak_reserved_GiB": 58.641, "device_free_GiB": 14.241, "device_total_GiB": 79.189}
730
+
731
  20%|β–ˆβ–ˆ | 10/50 [04:33<14:25, 21.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.868, "device_total_GiB": 79.189}
732
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.144, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.794, "device_total_GiB": 79.189}
733
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 10, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.999, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
734
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 10, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
735
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 10, "allocated_GiB": 24.173, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.508, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}[TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 10, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.144, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
736
+
737
+
738
 
739
+
740
  20%|β–ˆβ–ˆ | 10/50 [04:34<14:25, 21.64s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 11, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.53, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
741
+
742
  22%|β–ˆβ–ˆβ– | 11/50 [04:50<13:04, 20.12s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 11, "allocated_GiB": 24.125, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.786, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
743
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 11, "allocated_GiB": 24.143, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.869, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
744
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 11, "allocated_GiB": 24.143, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.807, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
745
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 12, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.419, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
746
+
747
  24%|β–ˆβ–ˆβ– | 12/50 [05:07<12:05, 19.08s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 12, "allocated_GiB": 24.145, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.859, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
748
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 12, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.249, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
749
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 12, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.035, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
750
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 13, "allocated_GiB": 24.191, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.755, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
751
+
752
  26%|β–ˆβ–ˆβ–Œ | 13/50 [05:23<11:16, 18.27s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 13, "allocated_GiB": 24.211, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.28, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
753
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 13, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.18, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
754
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 13, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.933, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
755
+ /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.
756
+ with torch.cuda.amp.autocast(dtype=dtype):
757
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 14, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.345, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
758
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 14, "allocated_GiB": 24.229, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.749, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
759
+
760
  28%|β–ˆβ–ˆβ–Š | 14/50 [05:38<10:19, 17.21s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 14, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.171, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
761
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 14, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.242, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
762
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.297, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
763
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 15, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.321, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
764
+
765
  30%|β–ˆβ–ˆβ–ˆ | 15/50 [05:54<09:49, 16.85s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 15, "allocated_GiB": 24.124, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.604, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
766
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 15, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.729, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
767
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 16, "allocated_GiB": 24.192, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.988, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
768
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 16, "allocated_GiB": 24.126, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.86, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
769
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 16, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.631, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
770
+
771
  32%|β–ˆβ–ˆβ–ˆβ– | 16/50 [06:10<09:27, 16.70s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 16, "allocated_GiB": 24.211, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.978, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
772
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 17, "allocated_GiB": 24.173, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.124, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
773
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 17, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.876, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
774
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 17, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.588, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
775
+
776
  34%|β–ˆβ–ˆβ–ˆβ– | 17/50 [06:27<09:10, 16.67s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 17, "allocated_GiB": 24.134, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.852, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
777
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 18, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.132, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
778
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 18, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.348, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
779
+
780
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 18/50 [06:44<08:55, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 18, "allocated_GiB": 24.135, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.796, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
781
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 18, "allocated_GiB": 24.182, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.067, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
782
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 19, "allocated_GiB": 24.182, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.685, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
783
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 19, "allocated_GiB": 24.135, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.715, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
784
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 19, "allocated_GiB": 24.162, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.583, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
785
+
786
  38%|β–ˆβ–ˆβ–ˆβ–Š | 19/50 [07:00<08:33, 16.56s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 19, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.627, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
787
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.081, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
788
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
789
+
790
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [07:16<08:14, 16.49s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
791
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.612, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
792
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 20, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.081, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
793
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 20, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.612, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
794
+
795
 
796
+
797
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 20/50 [07:16<08:14, 16.49s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 20, "allocated_GiB": 24.153, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.716, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
798
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 20, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.756, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
799
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 21, "allocated_GiB": 24.116, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.078, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
800
+
801
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 21/50 [07:32<07:55, 16.40s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 21, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.184, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
802
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 21, "allocated_GiB": 24.191, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.811, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
803
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 21, "allocated_GiB": 24.172, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.647, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
804
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.289, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
805
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 22, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.517, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
806
+
807
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 22/50 [07:48<07:36, 16.31s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 22, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.282, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
808
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 22, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.321, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
809
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 23, "allocated_GiB": 24.258, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.257, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
810
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 23, "allocated_GiB": 24.181, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.682, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
811
+
812
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 23/50 [08:03<07:03, 15.69s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 23, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.328, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
813
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 23, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.217, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
814
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 24, "allocated_GiB": 24.134, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.637, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
815
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 24, "allocated_GiB": 24.135, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.536, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
816
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 24, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.908, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
817
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 24, "allocated_GiB": 24.163, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.276, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
818
+
819
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 24/50 [08:19<06:52, 15.87s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 25, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.366, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
820
+
821
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 25/50 [08:35<06:37, 15.92s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 25, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.919, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
822
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 25, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.319, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
823
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 25, "allocated_GiB": 24.258, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.39, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
824
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 26, "allocated_GiB": 24.116, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.264, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
825
+
826
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 26/50 [08:52<06:29, 16.23s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 26, "allocated_GiB": 24.238, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
827
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 26, "allocated_GiB": 24.192, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.996, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
828
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 26, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.111, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
829
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 27, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.49, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
830
+
831
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 27/50 [09:09<06:17, 16.40s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 27, "allocated_GiB": 24.229, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.12, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
832
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 27, "allocated_GiB": 24.211, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.295, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
833
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 27, "allocated_GiB": 24.193, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.264, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
834
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 28, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
835
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 28, "allocated_GiB": 24.229, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.772, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
836
+
837
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 28/50 [09:26<06:03, 16.54s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 28, "allocated_GiB": 24.174, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.017, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
838
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 28, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.309, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
839
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 29, "allocated_GiB": 24.173, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.174, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
840
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 29, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.375, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
841
+
842
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 29/50 [09:42<05:49, 16.63s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 29, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.984, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
843
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 29, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.161, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
844
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
845
+
846
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [09:59<05:34, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
847
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.411, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
848
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.047, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
849
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 30, "allocated_GiB": 24.201, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.912, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.768, "device_total_GiB": 79.189}
850
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 30, "allocated_GiB": 24.22, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.411, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
851
 
852
+
853
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 30, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.047, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
854
+
855
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 30/50 [09:59<05:34, 16.72s/it][TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 30, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.366, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
856
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 31, "allocated_GiB": 24.173, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.99, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
857
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 31, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.746, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
858
+
859
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/50 [10:16<05:16, 16.64s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 31, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.077, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
860
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 31, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.84, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
861
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 32, "allocated_GiB": 24.173, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.906, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
862
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 32, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.391, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
863
+
864
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/50 [10:33<04:59, 16.65s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 32, "allocated_GiB": 24.144, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.875, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
865
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 32, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.983, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
866
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 33, "allocated_GiB": 24.144, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.993, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
867
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 33, "allocated_GiB": 24.2, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.542, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
868
+
869
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 33/50 [10:49<04:41, 16.59s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 33, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.962, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
870
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 33, "allocated_GiB": 24.201, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.266, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
871
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 34, "allocated_GiB": 24.116, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.848, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
872
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 34, "allocated_GiB": 24.191, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.524, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
873
+
874
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 34/50 [11:06<04:27, 16.74s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 34, "allocated_GiB": 24.22, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.092, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
875
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 34, "allocated_GiB": 24.172, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.436, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
876
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 35, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.418, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
877
+
878
  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 35/50 [11:22<04:08, 16.56s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 35, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.443, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
879
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 35, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.993, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
880
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 35, "allocated_GiB": 24.153, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.638, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
881
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 36, "allocated_GiB": 24.134, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.409, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
882
+
883
  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36/50 [11:39<03:52, 16.59s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 36, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.415, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
884
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 36, "allocated_GiB": 24.191, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.909, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
885
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 36, "allocated_GiB": 24.211, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.926, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
886
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 37, "allocated_GiB": 24.21, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.96, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
887
+
888
  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37/50 [11:56<03:38, 16.81s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 37, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.24, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
889
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 37, "allocated_GiB": 24.23, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.41, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
890
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 37, "allocated_GiB": 24.249, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.281, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
891
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 38, "allocated_GiB": 24.135, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.141, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
892
+
893
  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 38/50 [12:12<03:18, 16.53s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 38, "allocated_GiB": 24.117, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.702, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
894
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 38, "allocated_GiB": 24.116, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.549, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
895
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 38, "allocated_GiB": 24.172, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.904, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
896
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 39, "allocated_GiB": 24.153, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.332, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
897
+
898
  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 39/50 [12:29<03:03, 16.70s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 39, "allocated_GiB": 24.135, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.828, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
899
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 39, "allocated_GiB": 24.154, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.836, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
900
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 39, "allocated_GiB": 24.163, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.697, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
901
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 40, "allocated_GiB": 24.115, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.229, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
902
+
903
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [12:46<02:46, 16.66s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 40, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.35, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
904
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 40, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.266, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
905
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 40, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.633, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
906
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 40, "allocated_GiB": 24.115, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.229, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
907
+
908
 
909
+
910
  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 40/50 [12:46<02:46, 16.66s/it][TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 40, "allocated_GiB": 24.162, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.633, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
911
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 40, "allocated_GiB": 24.248, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.266, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
912
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 40, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.35, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
913
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 41, "allocated_GiB": 24.181, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.654, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
914
+
915
  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 41/50 [13:02<02:29, 16.56s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 41, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.274, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
916
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 41, "allocated_GiB": 24.173, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.602, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
917
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 41, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.736, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
918
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 42, "allocated_GiB": 24.249, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.369, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
919
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.27, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
920
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 42, "allocated_GiB": 24.238, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.804, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
921
+
922
  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 42/50 [13:17<02:09, 16.17s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 42, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.255, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
923
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 43, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.225, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
924
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 43, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.294, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
925
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 43, "allocated_GiB": 24.144, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.404, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
926
+
927
  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 43/50 [13:34<01:54, 16.37s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 43, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.135, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
928
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.35, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
929
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 44, "allocated_GiB": 24.181, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.766, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
930
+
931
  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 44/50 [13:48<01:34, 15.75s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 44, "allocated_GiB": 24.258, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.449, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
932
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 44, "allocated_GiB": 24.257, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.124, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
933
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 45, "allocated_GiB": 24.193, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.819, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
934
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 45, "allocated_GiB": 24.182, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.964, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
935
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 45, "allocated_GiB": 24.191, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.085, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
936
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 45, "allocated_GiB": 24.143, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.374, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
937
+
938
  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 45/50 [14:05<01:20, 16.05s/it][TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 46, "allocated_GiB": 24.173, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.676, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
939
+
940
  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 46/50 [14:22<01:04, 16.23s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 46, "allocated_GiB": 24.201, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.078, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
941
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.888, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
942
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 46, "allocated_GiB": 24.219, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.409, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
943
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 47, "allocated_GiB": 24.172, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.605, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
944
+
945
  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 47/50 [14:39<00:49, 16.37s/it][TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 47, "allocated_GiB": 24.181, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.007, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
946
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 47, "allocated_GiB": 24.201, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.327, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
947
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 47, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.339, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
948
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 48, "allocated_GiB": 24.192, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.713, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
949
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.283, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
950
+
951
  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 48/50 [14:56<00:33, 16.61s/it][TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 48, "allocated_GiB": 24.21, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.16, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
952
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 48, "allocated_GiB": 24.23, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.055, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
953
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 49, "allocated_GiB": 24.191, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.704, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
954
+
955
  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 49/50 [15:12<00:16, 16.61s/it][TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 49, "allocated_GiB": 24.182, "reserved_GiB": 59.014, "peak_allocated_GiB": 42.888, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
956
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 49, "allocated_GiB": 24.154, "reserved_GiB": 60.088, "peak_allocated_GiB": 42.878, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
957
+ [TrainingMemory] {"rank": "3", "stage": "before_logging", "step": 49, "allocated_GiB": 24.173, "reserved_GiB": 59.676, "peak_allocated_GiB": 42.665, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
958
+ [TrainingMemory] {"rank": "2", "stage": "before_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.489, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
959
+ [TrainingMemory] {"rank": "0", "stage": "before_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.967, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
960
+
961
+ [TrainingMemory] {"rank": "1", "stage": "before_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.414, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
962
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.234, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
963
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 24.2, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.414, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
964
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 24.21, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.489, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
965
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 24.182, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.967, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
966
+
967
 
968
+
969
+
970
+
971
+ [TrainingMemory] {"rank": "2", "stage": "after_logging", "step": 50, "allocated_GiB": 22.889, "reserved_GiB": 59.014, "peak_allocated_GiB": 43.489, "peak_reserved_GiB": 59.014, "device_free_GiB": 13.395, "device_total_GiB": 79.189}
972
+ [TrainingMemory] {"rank": "0", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 58.641, "peak_allocated_GiB": 42.967, "peak_reserved_GiB": 58.641, "device_free_GiB": 13.766, "device_total_GiB": 79.189}
973
+
974
 
975
+ [TrainingMemory] {"rank": "1", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 60.088, "peak_allocated_GiB": 43.414, "peak_reserved_GiB": 60.088, "device_free_GiB": 12.321, "device_total_GiB": 79.189}
976
+ [TrainingMemory] {"rank": "3", "stage": "after_logging", "step": 50, "allocated_GiB": 22.888, "reserved_GiB": 59.676, "peak_allocated_GiB": 43.234, "peak_reserved_GiB": 59.676, "device_free_GiB": 12.733, "device_total_GiB": 79.189}
977
+
978
+
979
+ [rank0]:[W918 03:39:19.016700735 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())