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Loading extension module fused_adam...
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Time to load fused_adam op: 0.10147309303283691 seconds
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Loading extension module fused_adam...
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Time to load fused_adam op: 0.10127520561218262 seconds
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[2024-10-22 17:08:57,226] [INFO] [logging.py:96:log_dist] [Rank 0] Using DeepSpeed Optimizer param name adamw as basic optimizer
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Loading extension module fused_adam...
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Time to load fused_adam op: 0.10113191604614258 seconds
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[2024-10-22 17:08:57,241] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam
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[2024-10-22 17:08:57,241] [INFO] [utils.py:54:is_zero_supported_optimizer] Checking ZeRO support for optimizer=FusedAdam type=<class 'deepspeed.ops.adam.fused_adam.FusedAdam'>
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[2024-10-22 17:08:57,241] [INFO] [logging.py:96:log_dist] [Rank 0] Creating torch.bfloat16 ZeRO stage 1 optimizer
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[2024-10-22 17:08:57,241] [INFO] [stage_1_and_2.py:133:__init__] Reduce bucket size 1000000000
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[2024-10-22 17:08:57,241] [INFO] [stage_1_and_2.py:134:__init__] Allgather bucket size 1000000000
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[2024-10-22 17:08:57,241] [INFO] [stage_1_and_2.py:135:__init__] CPU Offload: False
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[2024-10-22 17:08:57,241] [INFO] [stage_1_and_2.py:136:__init__] Round robin gradient partitioning: False
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Rank: 1 partition count [4] and sizes[(3932160, False)]
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Rank: 2 partition count [4] and sizes[(3932160, False)]
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Rank: 0 partition count [4] and sizes[(3932160, False)]
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[2024-10-22 17:08:57,693] [INFO] [utils.py:785:see_memory_usage] Before initializing optimizer states
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[2024-10-22 17:08:57,694] [INFO] [utils.py:786:see_memory_usage] MA 4.94 GB Max_MA 4.95 GB CA 5.17 GB Max_CA 5 GB
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[2024-10-22 17:08:57,694] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 37.92 GB, percent = 7.5%
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[2024-10-22 17:08:57,798] [INFO] [utils.py:785:see_memory_usage] After initializing optimizer states
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[2024-10-22 17:08:57,798] [INFO] [utils.py:786:see_memory_usage] MA 4.97 GB Max_MA 4.99 GB CA 5.2 GB Max_CA 5 GB
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[2024-10-22 17:08:57,798] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 37.92 GB, percent = 7.5%
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[2024-10-22 17:08:57,799] [INFO] [stage_1_and_2.py:493:__init__] optimizer state initialized
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[2024-10-22 17:08:57,895] [INFO] [utils.py:785:see_memory_usage] After initializing ZeRO optimizer
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[2024-10-22 17:08:57,896] [INFO] [utils.py:786:see_memory_usage] MA 4.97 GB Max_MA 4.97 GB CA 5.2 GB Max_CA 5 GB
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[2024-10-22 17:08:57,896] [INFO] [utils.py:793:see_memory_usage] CPU Virtual Memory: used = 37.92 GB, percent = 7.5%
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[2024-10-22 17:08:57,897] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed Final Optimizer = adamw
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[2024-10-22 17:08:57,897] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed using client callable to create LR scheduler
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[2024-10-22 17:08:57,897] [INFO] [logging.py:96:log_dist] [Rank 0] DeepSpeed LR Scheduler = <torch.optim.lr_scheduler.LambdaLR object at 0x7fa7e4df3940>
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[2024-10-22 17:08:57,897] [INFO] [logging.py:96:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0], mom=[[0.9, 0.999]]
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[2024-10-22 17:08:57,900] [INFO] [config.py:960:print] DeepSpeedEngine configuration:
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] activation_checkpointing_config {
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"partition_activations": false,
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"contiguous_memory_optimization": false,
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"cpu_checkpointing": false,
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"number_checkpoints": null,
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"synchronize_checkpoint_boundary": false,
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"profile": false
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}
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] amp_enabled .................. False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] amp_params ................... False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] autotuning_config ............ {
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"enabled": false,
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"start_step": null,
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"end_step": null,
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"metric_path": null,
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"arg_mappings": null,
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"metric": "throughput",
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"model_info": null,
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"results_dir": "autotuning_results",
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"exps_dir": "autotuning_exps",
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"overwrite": true,
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"fast": true,
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"start_profile_step": 3,
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"end_profile_step": 5,
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"tuner_type": "gridsearch",
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"tuner_early_stopping": 5,
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"tuner_num_trials": 50,
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"model_info_path": null,
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"mp_size": 1,
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"max_train_batch_size": null,
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"min_train_batch_size": 1,
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"max_train_micro_batch_size_per_gpu": 1.024000e+03,
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"min_train_micro_batch_size_per_gpu": 1,
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"num_tuning_micro_batch_sizes": 3
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}
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] bfloat16_enabled ............. True
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] checkpoint_parallel_write_pipeline False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] checkpoint_tag_validation_enabled True
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] checkpoint_tag_validation_fail False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x7fa7e4d29b10>
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] communication_data_type ...... None
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}}
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] curriculum_enabled_legacy .... False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] curriculum_params_legacy ..... False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] data_efficiency_config ....... {'enabled': False, 'seed': 1234, 'data_sampling': {'enabled': False, 'num_epochs': 1000, 'num_workers': 0, 'curriculum_learning': {'enabled': False}}, 'data_routing': {'enabled': False, 'random_ltd': {'enabled': False, 'layer_token_lr_schedule': {'enabled': False}}}}
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] data_efficiency_enabled ...... False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] dataloader_drop_last ......... False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] disable_allgather ............ False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] dump_state ................... False
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] dynamic_loss_scale_args ...... None
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[2024-10-22 17:08:57,900] [INFO] [config.py:964:print] eigenvalue_enabled ........... False
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_gas_boundary_resolution 1
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_layer_name ........ bert.encoder.layer
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_layer_num ......... 0
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_max_iter .......... 100
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_stability ......... 1e-06
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_tol ............... 0.01
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] eigenvalue_verbose ........... False
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] elasticity_enabled ........... False
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[2024-10-22 17:08:57,901] [INFO] [config.py:964:print] flops_profiler_config ........ {
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"enabled": false,
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"recompute_fwd_factor": 0.0,
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"profile_step": 1,
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"module_depth": -1,
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"top_modules": 1,
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"detailed": true,
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"output_file": null
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