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8gpu_631M_trunc_llama
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******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
******* loading model args.model='vitsmart'
--> World Size = 8
--> Device_count = 8
--> running with these defaults train_config(seed=2023, verbose=True, total_steps_to_run=None, warmup_steps=3, print_memory_summary=False, num_epochs=2, model_weights_bf16=False, use_mixed_precision=True, use_low_precision_gradient_policy=False, use_tf32=True, optimizer='AdamW', ap_use_kahan_summation=False, sharding_strategy=<ShardingStrategy.FULL_SHARD: 1>, print_sharding_plan=False, run_profiler=False, profile_folder='tp_fsdp/profile_tracing', log_every=1, num_workers_dataloader=2, batch_size_training=24, fsdp_activation_checkpointing=False, run_validation=True, memory_report=True, nccl_debug_handler=True, distributed_debug=True, use_non_recursive_wrapping=False, use_parallel_attention=True, use_multi_query_attention=False, use_fused_attention=True, use_tp=False, image_size=224, use_synthetic_data=False, use_pokemon_dataset=False, use_beans_dataset=False, save_model_checkpoint=False, load_model_checkpoint=False, checkpoint_max_save_count=2, save_optimizer=False, load_optimizer=False, optimizer_checkpoint_file='Adam-vit--1.pt', checkpoint_model_filename='vit--1.pt')
clearing gpu cache for all ranks
--> running with torch dist debug set to detail
--> total memory per gpu (GB) = 22.035
wrapping policy is functools.partial(<function transformer_auto_wrap_policy at 0x7efe357fa040>, transformer_layer_cls={<class 'models.smart_vit.vit_main.ParallelAttentionBlock'>})
******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
Building with Parallel Layers Attention
******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
Building with Parallel Layers Attention
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******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
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******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
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******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
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{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
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--> Prepping 631M model ...
stats is ready....? _stats=defaultdict(<class 'list'>, {'best_accuracy': 0.0}), local_rank=0, rank=0
******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
Building with Parallel Layers Attention
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******************* bulding the model here ************
**** Use MQA = False
{'patch_size': 14, 'embed_dim': 1280, 'depth': 32, 'num_heads': 16, 'num_classes': 1000, 'image_size': 224, 'use_parallel_attention': True, 'use_fused_attention': True, 'use_upper_fusion': True, 'use_multi_query_attention': False}
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Model has 32 layers
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vit, GPU peak memory allocation: 0.0GB, GPU peak memory reserved: 0.0GB, GPU peak memory active: 0.0GB
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LLama style INIT
LLama style INIT
LLama style INIT
LLama style INIT
LLama style INIT
LLama style INIT
LLama style INIT
LLama style INIT
LLama style INIT
--> 631M built.
built model with 635.267456M params
bf16 check passed
--> Running with mixed precision MixedPrecision(param_dtype=torch.bfloat16, reduce_dtype=torch.bfloat16, buffer_dtype=torch.bfloat16, keep_low_precision_grads=False, cast_forward_inputs=False, cast_root_forward_inputs=True) policy
backward prefetch set to BackwardPrefetch.BACKWARD_PRE
sharding set to ShardingStrategy.FULL_SHARD
--> Batch Size = 24
vit, GPU peak memory allocation: 0.0GB, GPU peak memory reserved: 0.0GB, GPU peak memory active: 0.0GB
local rank 0 init time = 10.773164509000026
memory stats reset, ready to track
Running with AdamW optimizer, with fusion set to True
Epoch: 0 starting...
step: 1: time taken for the last 1 steps is 3.6783290079999915, loss is 6.90625
step: 2: time taken for the last 1 steps is 2.0938441810000086, loss is 6.90625
step: 3: time taken for the last 1 steps is 2.1095253569999954, loss is 6.90625
step: 4: time taken for the last 1 steps is 2.1096925389999797, loss is 6.90625
step: 5: time taken for the last 1 steps is 2.0986985950000303, loss is 6.90625
step: 6: time taken for the last 1 steps is 2.085672843999987, loss is 6.90625
step: 7: time taken for the last 1 steps is 2.0864165539999817, loss is 6.90625
step: 8: time taken for the last 1 steps is 2.1176690539999754, loss is 6.90625
step: 9: time taken for the last 1 steps is 2.0983382510000297, loss is 6.90625
step: 10: time taken for the last 1 steps is 2.1032958559999884, loss is 6.90625
step: 11: time taken for the last 1 steps is 2.1065488579999965, loss is 6.90625
step: 12: time taken for the last 1 steps is 2.101775915000019, loss is 6.875
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step: 276: time taken for the last 1 steps is 2.1089929150000444, loss is 6.5
step: 277: time taken for the last 1 steps is 2.1120882840000377, loss is 6.5
step: 278: time taken for the last 1 steps is 2.115072932000203, loss is 6.46875
step: 279: time taken for the last 1 steps is 2.0858862920001684, loss is 6.46875
step: 280: time taken for the last 1 steps is 2.101781700999936, loss is 6.46875
step: 281: time taken for the last 1 steps is 2.11423806300013, loss is 6.46875
step: 282: time taken for the last 1 steps is 2.095086211999842, loss is 6.46875
step: 283: time taken for the last 1 steps is 2.0982919030000176, loss is 6.46875
step: 284: time taken for the last 1 steps is 2.107649505999916, loss is 6.46875
step: 285: time taken for the last 1 steps is 2.1175068039999587, loss is 6.46875
step: 286: time taken for the last 1 steps is 2.113737852999975, loss is 6.46875
step: 287: time taken for the last 1 steps is 2.1049091910001607, loss is 6.46875
step: 288: time taken for the last 1 steps is 2.1280611559998306, loss is 6.46875
step: 289: time taken for the last 1 steps is 2.087898914999869, loss is 6.46875
step: 290: time taken for the last 1 steps is 2.1161804639998536, loss is 6.46875
step: 291: time taken for the last 1 steps is 2.109469504999879, loss is 6.46875
step: 292: time taken for the last 1 steps is 2.124271574999966, loss is 6.46875
step: 293: time taken for the last 1 steps is 2.107225478999908, loss is 6.46875
step: 294: time taken for the last 1 steps is 2.1109445690001394, loss is 6.46875
step: 295: time taken for the last 1 steps is 2.10199621400011, loss is 6.46875
step: 296: time taken for the last 1 steps is 2.1210493119999683, loss is 6.46875
step: 297: time taken for the last 1 steps is 2.120086307000065, loss is 6.46875
step: 298: time taken for the last 1 steps is 2.0999137189999146, loss is 6.46875
step: 299: time taken for the last 1 steps is 2.0946468239999376, loss is 6.46875
step: 300: time taken for the last 1 steps is 2.094331798999974, loss is 6.4375
step: 301: time taken for the last 1 steps is 2.1242104549999112, loss is 6.4375
step: 302: time taken for the last 1 steps is 2.1073306299999786, loss is 6.4375
step: 303: time taken for the last 1 steps is 2.1093277630000102, loss is 6.4375
step: 304: time taken for the last 1 steps is 2.09359356799996, loss is 6.4375
step: 305: time taken for the last 1 steps is 2.1153154700000414, loss is 6.4375
step: 306: time taken for the last 1 steps is 2.101459974999898, loss is 6.4375
step: 307: time taken for the last 1 steps is 2.075844429000199, loss is 6.4375
step: 308: time taken for the last 1 steps is 2.0971892860000025, loss is 6.4375
step: 309: time taken for the last 1 steps is 2.108647870999903, loss is 6.4375
step: 310: time taken for the last 1 steps is 2.1013861040000847, loss is 6.4375
step: 311: time taken for the last 1 steps is 2.1064146050000545, loss is 6.4375
step: 312: time taken for the last 1 steps is 2.1021780769999623, loss is 6.4375
step: 313: time taken for the last 1 steps is 2.0956546530001106, loss is 6.4375
step: 314: time taken for the last 1 steps is 2.095942416000071, loss is 6.4375
step: 315: time taken for the last 1 steps is 2.121653050000077, loss is 6.4375
step: 316: time taken for the last 1 steps is 2.0966731489997983, loss is 6.4375
step: 317: time taken for the last 1 steps is 2.1137402130000282, loss is 6.4375
step: 318: time taken for the last 1 steps is 2.0889548749998994, loss is 6.4375
step: 319: time taken for the last 1 steps is 2.107007665000083, loss is 6.4375
step: 320: time taken for the last 1 steps is 2.1016727690000607, loss is 6.4375
step: 321: time taken for the last 1 steps is 2.1133451569999124, loss is 6.40625
step: 322: time taken for the last 1 steps is 2.0968322210001133, loss is 6.40625
step: 323: time taken for the last 1 steps is 2.103554319000068, loss is 6.40625
step: 324: time taken for the last 1 steps is 2.101061949000041, loss is 6.40625
step: 325: time taken for the last 1 steps is 2.121812681999927, loss is 6.40625
step: 326: time taken for the last 1 steps is 2.102315118999968, loss is 6.40625
step: 327: time taken for the last 1 steps is 2.1077483660001235, loss is 6.40625
step: 328: time taken for the last 1 steps is 2.1166528789999575, loss is 6.40625
step: 329: time taken for the last 1 steps is 2.104713017999984, loss is 6.40625
step: 330: time taken for the last 1 steps is 2.099707207000165, loss is 6.40625
step: 331: time taken for the last 1 steps is 2.1002334259999316, loss is 6.40625
step: 332: time taken for the last 1 steps is 2.120974358000012, loss is 6.40625
step: 333: time taken for the last 1 steps is 2.1116968400001497, loss is 6.40625
step: 334: time taken for the last 1 steps is 2.1009234260000085, loss is 6.40625
step: 335: time taken for the last 1 steps is 2.0921421160001046, loss is 6.40625
step: 336: time taken for the last 1 steps is 2.1017924509999375, loss is 6.40625
step: 337: time taken for the last 1 steps is 2.1131217529998594, loss is 6.40625
step: 338: time taken for the last 1 steps is 2.108693510999956, loss is 6.40625
step: 339: time taken for the last 1 steps is 2.105249945999958, loss is 6.40625
step: 340: time taken for the last 1 steps is 2.110655143000031, loss is 6.40625
step: 341: time taken for the last 1 steps is 2.1231731739999304, loss is 6.40625
step: 342: time taken for the last 1 steps is 2.091155110000045, loss is 6.375
step: 343: time taken for the last 1 steps is 2.107873427999948, loss is 6.375
step: 344: time taken for the last 1 steps is 2.1054077890000826, loss is 6.375
step: 345: time taken for the last 1 steps is 2.111286032999942, loss is 6.375
step: 346: time taken for the last 1 steps is 2.105321858000025, loss is 6.375
step: 347: time taken for the last 1 steps is 2.0989113139999063, loss is 6.375
step: 348: time taken for the last 1 steps is 2.1059560369999417, loss is 6.375
step: 349: time taken for the last 1 steps is 2.119882620999988, loss is 6.375
step: 350: time taken for the last 1 steps is 2.111644978999948, loss is 6.375
step: 351: time taken for the last 1 steps is 2.1090994780001893, loss is 6.375
step: 352: time taken for the last 1 steps is 2.1127028050000263, loss is 6.375
step: 353: time taken for the last 1 steps is 2.1273099110001112, loss is 6.375
step: 354: time taken for the last 1 steps is 2.116157891000057, loss is 6.375
step: 355: time taken for the last 1 steps is 2.1308611869999368, loss is 6.375
step: 356: time taken for the last 1 steps is 2.1234249489998547, loss is 6.375
step: 357: time taken for the last 1 steps is 2.105045152999992, loss is 6.375
step: 358: time taken for the last 1 steps is 2.1130145710001216, loss is 6.375
step: 359: time taken for the last 1 steps is 2.1108409159999155, loss is 6.375
step: 360: time taken for the last 1 steps is 2.1099235720000706, loss is 6.375
step: 361: time taken for the last 1 steps is 2.126803392000056, loss is 6.375
step: 362: time taken for the last 1 steps is 2.1195161749999443, loss is 6.375
step: 363: time taken for the last 1 steps is 2.101062168999988, loss is 6.375
step: 364: time taken for the last 1 steps is 2.108959066000125, loss is 6.34375
step: 365: time taken for the last 1 steps is 2.094102776999989, loss is 6.34375
step: 366: time taken for the last 1 steps is 2.1164563760000874, loss is 6.34375
step: 367: time taken for the last 1 steps is 2.1104379900000367, loss is 6.375
step: 368: time taken for the last 1 steps is 2.097344450000037, loss is 6.34375
step: 369: time taken for the last 1 steps is 2.107681475000163, loss is 6.34375
step: 370: time taken for the last 1 steps is 2.109727297999825, loss is 6.34375
step: 371: time taken for the last 1 steps is 2.1093348770000375, loss is 6.34375
step: 372: time taken for the last 1 steps is 2.112328990000151, loss is 6.34375
step: 373: time taken for the last 1 steps is 2.111841510999966, loss is 6.34375
step: 374: time taken for the last 1 steps is 2.1172863670001334, loss is 6.34375
step: 375: time taken for the last 1 steps is 2.1150750420001714, loss is 6.34375
step: 376: time taken for the last 1 steps is 2.1263488419999703, loss is 6.34375
step: 377: time taken for the last 1 steps is 2.102476753000019, loss is 6.34375
step: 378: time taken for the last 1 steps is 2.1093371009999373, loss is 6.34375
step: 379: time taken for the last 1 steps is 2.110653392000131, loss is 6.34375
step: 380: time taken for the last 1 steps is 2.1227076339998803, loss is 6.34375
step: 381: time taken for the last 1 steps is 2.1178340069998285, loss is 6.34375
step: 382: time taken for the last 1 steps is 2.112536140999964, loss is 6.34375
step: 383: time taken for the last 1 steps is 2.1103214970000863, loss is 6.34375
step: 384: time taken for the last 1 steps is 2.099472773999878, loss is 6.3125
step: 385: time taken for the last 1 steps is 2.126142209000136, loss is 6.34375
step: 386: time taken for the last 1 steps is 2.1188499429999865, loss is 6.3125
step: 387: time taken for the last 1 steps is 2.1162574510001377, loss is 6.3125
step: 388: time taken for the last 1 steps is 2.103740612000138, loss is 6.34375
step: 389: time taken for the last 1 steps is 2.109876989999975, loss is 6.3125
step: 390: time taken for the last 1 steps is 2.1179271379999136, loss is 6.3125
step: 391: time taken for the last 1 steps is 2.1085915300000124, loss is 6.3125
step: 392: time taken for the last 1 steps is 2.111567665999928, loss is 6.3125
step: 393: time taken for the last 1 steps is 2.1089639259998876, loss is 6.3125
step: 394: time taken for the last 1 steps is 2.0964103649998833, loss is 6.3125
step: 395: time taken for the last 1 steps is 2.230096533000051, loss is 6.3125
val_loss : 6.3152 : val_acc: 0.0099
updating stats...
Epoch: 1 starting...