Running ctx_length=1024, TP_SIZE=8, CP_SIZE=8, BATCH_SIZE=1 Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 Cleaning up checkpoint directory: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs -------------------------------- CTX_LENGTH: 1024 TP_SIZE: 8 CP_SIZE: 8 CHECKPOINT_PATH: /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs PWD: /mnt/weka/home/hao.zhang/junda/attnserver-megatron -------------------------------- /mnt/weka/home/hao.zhang/conda/miniconda/envs/junda-attnserver/bin/python3 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 WARNING: TensorBoard writing requested but is not available (are you using PyTorch 1.1.0 or later?), no TensorBoard logs will be written. WARNING: one_logger package is required to enable e2e metrics tracking. please go to https://confluence.nvidia.com/display/MLWFO/Package+Repositories for details to install it INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 using world size: 64, data-parallel size: 1, context-parallel size: 8, hierarchical context-parallel sizes: Nonetensor-model-parallel size: 8, encoder-tensor-model-parallel size: 0, pipeline-model-parallel size: 1, encoder-pipeline-model-parallel size: 0 Number of virtual stages per pipeline stage: None WARNING: Setting args.check_for_nan_in_loss_and_grad to False since dynamic loss scaling is being used using torch.float16 for parameters ... ------------------------ arguments ------------------------ account_for_embedding_in_pipeline_split ......... False account_for_loss_in_pipeline_split .............. False accumulate_allreduce_grads_in_fp32 .............. False adam_beta1 ...................................... 0.9 adam_beta2 ...................................... 0.999 adam_eps ........................................ 1e-08 add_bias_linear ................................. True add_position_embedding .......................... True add_qkv_bias .................................... True adlr_autoresume ................................. False adlr_autoresume_interval ........................ 1000 align_grad_reduce ............................... True align_param_gather .............................. False app_tag_run_name ................................ None app_tag_run_version ............................. 0.0.0 apply_layernorm_1p .............................. False apply_query_key_layer_scaling ................... False apply_residual_connection_post_layernorm ........ False apply_rope_fusion ............................... False async_save ...................................... None async_tensor_model_parallel_allreduce ........... True attention_backend ............................... AttnBackend.auto attention_dropout ............................... 0.1 attention_softmax_in_fp32 ....................... False auto_detect_ckpt_format ......................... False barrier_with_L1_time ............................ True bert_binary_head ................................ True bert_embedder_type .............................. megatron bert_load ....................................... None bf16 ............................................ False bias_dropout_fusion ............................. True bias_gelu_fusion ................................ True bias_swiglu_fusion .............................. True biencoder_projection_dim ........................ 0 biencoder_shared_query_context_model ............ False block_data_path ................................. None calc_ft_timeouts ................................ False calculate_per_token_loss ........................ False check_for_large_grads ........................... False check_for_nan_in_loss_and_grad .................. False check_for_spiky_loss ............................ False check_weight_hash_across_dp_replicas_interval ... None ckpt_assume_constant_structure .................. False ckpt_convert_format ............................. None ckpt_convert_save ............................... None ckpt_convert_update_legacy_dist_opt_format ...... False ckpt_format ..................................... torch_dist ckpt_fully_parallel_load ........................ False ckpt_fully_parallel_save ........................ True ckpt_fully_parallel_save_deprecated ............. False ckpt_step ....................................... None classes_fraction ................................ 1.0 clip_grad ....................................... 1.0 clone_scatter_output_in_embedding ............... True config_logger_dir ............................... consumed_train_samples .......................... 0 consumed_valid_samples .......................... 0 context_parallel_size ........................... 8 cp_comm_type .................................... ['p2p'] create_attention_mask_in_dataloader ............. True cross_entropy_fusion_impl ....................... native cross_entropy_loss_fusion ....................... False cuda_graph_scope ................................ full cuda_graph_warmup_steps ......................... 3 data_args_path .................................. None data_cache_path ................................. None data_parallel_random_init ....................... False data_parallel_sharding_strategy ................. no_shard data_parallel_size .............................. 1 data_path ....................................... None data_per_class_fraction ......................... 1.0 data_sharding ................................... True dataloader_type ................................. single ddp_average_in_collective ....................... False ddp_bucket_size ................................. None ddp_num_buckets ................................. None ddp_pad_buckets_for_high_nccl_busbw ............. False decoder_first_pipeline_num_layers ............... None decoder_last_pipeline_num_layers ................ None decoder_num_layers .............................. None decoder_seq_length .............................. None decoupled_lr .................................... None decoupled_min_lr ................................ None decrease_batch_size_if_needed ................... False defer_embedding_wgrad_compute ................... False deprecated_use_mcore_models ..................... False deterministic_mode .............................. False dino_bottleneck_size ............................ 256 dino_freeze_last_layer .......................... 1 dino_head_hidden_size ........................... 2048 dino_local_crops_number ......................... 10 dino_local_img_size ............................. 96 dino_norm_last_layer ............................ False dino_teacher_temp ............................... 0.07 dino_warmup_teacher_temp ........................ 0.04 dino_warmup_teacher_temp_epochs ................. 30 disable_bf16_reduced_precision_matmul ........... False disable_mamba_mem_eff_path ...................... False disable_straggler_on_startup .................... False dist_ckpt_format_deprecated ..................... None dist_ckpt_strictness ............................ assume_ok_unexpected distribute_saved_activations .................... False distributed_backend ............................. nccl distributed_timeout_minutes ..................... 10 embedding_path .................................. None empty_unused_memory_level ....................... 0 enable_cuda_graph ............................... False enable_ft_package ............................... False enable_gloo_process_groups ...................... True enable_msc ...................................... True enable_one_logger ............................... True encoder_num_layers .............................. 2 encoder_pipeline_model_parallel_size ............ 0 encoder_seq_length .............................. 1024 encoder_tensor_model_parallel_size .............. 0 end_weight_decay ................................ 0.1 eod_mask_loss ................................... False error_injection_rate ............................ 0 error_injection_type ............................ transient_error eval_interval ................................... 16 eval_iters ...................................... 1 evidence_data_path .............................. None exit_duration_in_mins ........................... None exit_interval ................................... None exit_on_missing_checkpoint ...................... False exit_signal_handler ............................. False exp_avg_dtype ................................... torch.float32 exp_avg_sq_dtype ................................ torch.float32 expert_model_parallel_size ...................... 1 expert_tensor_parallel_size ..................... 8 external_cuda_graph ............................. False ffn_hidden_size ................................. 16384 finetune ........................................ False first_last_layers_bf16 .......................... False flash_decode .................................... False fp16 ............................................ True fp16_lm_cross_entropy ........................... False fp32_residual_connection ........................ False fp8 ............................................. None fp8_amax_compute_algo ........................... most_recent fp8_amax_history_len ............................ 1 fp8_interval .................................... 1 fp8_margin ...................................... 0 fp8_param_gather ................................ False fp8_recipe ...................................... delayed fp8_wgrad ....................................... True fsdp_double_buffer .............................. False global_batch_size ............................... 1 grad_reduce_in_bf16 ............................. False gradient_accumulation_fusion .................... True gradient_reduce_div_fusion ...................... True group_query_attention ........................... True head_lr_mult .................................... 1.0 heterogeneous_layers_config_encoded_json ........ None heterogeneous_layers_config_path ................ None hidden_dropout .................................. 0.1 hidden_size ..................................... 4096 hierarchical_context_parallel_sizes ............. None high_priority_stream_groups ..................... [] hybrid_attention_ratio .......................... 0.0 hybrid_mlp_ratio ................................ 0.0 hybrid_override_pattern ......................... None hysteresis ...................................... 2 ict_head_size ................................... None ict_load ........................................ None img_h ........................................... 224 img_w ........................................... 224 indexer_batch_size .............................. 128 indexer_log_interval ............................ 1000 inference_batch_times_seqlen_threshold .......... -1 inference_dynamic_batching ...................... False inference_dynamic_batching_buffer_guaranteed_fraction 0.2 inference_dynamic_batching_buffer_overflow_factor None inference_dynamic_batching_buffer_size_gb ....... 40.0 inference_dynamic_batching_chunk_size ........... 256 inference_dynamic_batching_max_requests_override None inference_dynamic_batching_max_tokens_override .. None inference_max_batch_size ........................ 8 inference_max_seq_length ........................ 2560 inference_rng_tracker ........................... False init_method_std ................................. 0.02 init_method_xavier_uniform ...................... False init_model_with_meta_device ..................... False initial_loss_scale .............................. 4294967296 inprocess_active_world_size ..................... 64 inprocess_barrier_timeout ....................... 120 inprocess_completion_timeout .................... 120 inprocess_empty_cuda_cache ...................... False inprocess_granularity ........................... node inprocess_hard_timeout .......................... 90 inprocess_heartbeat_interval .................... 30 inprocess_heartbeat_timeout ..................... 60 inprocess_last_call_wait ........................ 1 inprocess_max_iterations ........................ None inprocess_monitor_process_interval .............. 1.0 inprocess_monitor_thread_interval ............... 1.0 inprocess_progress_watchdog_interval ............ 1.0 inprocess_restart ............................... False inprocess_soft_timeout .......................... 60 inprocess_termination_grace_time ................ 1 is_hybrid_model ................................. False iter_per_epoch .................................. 1250 iterations_to_skip .............................. [] keep_fp8_transpose_cache_when_using_custom_fsdp . False kv_channels ..................................... 64 kv_lora_rank .................................... 32 lazy_mpu_init ................................... None load ............................................ /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs load_model_opt_format ........................... False local_rank ...................................... 0 log_interval .................................... 1 log_loss_scale_to_tensorboard ................... True log_memory_to_tensorboard ....................... False log_num_zeros_in_grad ........................... False log_params_norm ................................. False log_progress .................................... False log_straggler ................................... False log_throughput .................................. False log_timers_to_tensorboard ....................... False log_validation_ppl_to_tensorboard ............... False log_world_size_to_tensorboard ................... False logging_level ................................... 0 loss_scale ...................................... None loss_scale_window ............................... 1000 lr .............................................. 0.0005 lr_decay_iters .................................. 150000 lr_decay_samples ................................ None lr_decay_style .................................. cosine lr_warmup_fraction .............................. None lr_warmup_init .................................. 0.0 lr_warmup_iters ................................. 2 lr_warmup_samples ............................... 0 lr_wsd_decay_iters .............................. None lr_wsd_decay_samples ............................ None lr_wsd_decay_style .............................. exponential main_grads_dtype ................................ torch.float32 main_params_dtype ............................... torch.float32 make_vocab_size_divisible_by .................... 128 mamba_head_dim .................................. 64 mamba_num_groups ................................ 8 mamba_num_heads ................................. None mamba_state_dim ................................. 128 manual_gc ....................................... False manual_gc_eval .................................. True manual_gc_interval .............................. 0 mask_factor ..................................... 1.0 mask_prob ....................................... 0.15 mask_type ....................................... random masked_softmax_fusion ........................... True max_position_embeddings ......................... 1024 max_tokens_to_oom ............................... 12000 memory_snapshot_path ............................ snapshot.pickle merge_file ...................................... merges.txt micro_batch_size ................................ 1 microbatch_group_size_per_vp_stage .............. None mid_level_dataset_surplus ....................... 0.005 min_loss_scale .................................. 1.0 min_lr .......................................... 0.0 mlp_chunks_for_prefill .......................... 1 mmap_bin_files .................................. True mock_data ....................................... True moe_apply_probs_on_input ........................ False moe_aux_loss_coeff .............................. 0.0 moe_enable_deepep ............................... False moe_expert_capacity_factor ...................... None moe_extended_tp ................................. False moe_ffn_hidden_size ............................. None moe_grouped_gemm ................................ False moe_input_jitter_eps ............................ None moe_layer_freq .................................. 1 moe_layer_recompute ............................. False moe_pad_expert_input_to_capacity ................ False moe_per_layer_logging ........................... False moe_permute_fusion .............................. False moe_router_bias_update_rate ..................... 0.001 moe_router_dtype ................................ None moe_router_enable_expert_bias ................... False moe_router_force_load_balancing ................. False moe_router_group_topk ........................... None moe_router_load_balancing_type .................. aux_loss moe_router_num_groups ........................... None moe_router_padding_for_fp8 ...................... False moe_router_pre_softmax .......................... False moe_router_score_function ....................... softmax moe_router_topk ................................. 2 moe_router_topk_scaling_factor .................. None moe_shared_expert_intermediate_size ............. None moe_shared_expert_overlap ....................... False moe_token_dispatcher_type ....................... allgather moe_token_drop_policy ........................... probs moe_use_legacy_grouped_gemm ..................... False moe_use_upcycling ............................... False moe_z_loss_coeff ................................ None mrope_section ................................... None mscale .......................................... 1.0 mscale_all_dim .................................. 1.0 mtp_loss_scaling_factor ......................... 0.1 mtp_num_layers .................................. None multi_latent_attention .......................... False nccl_all_reduce_for_prefill ..................... False nccl_communicator_config_path ................... None nccl_ub ......................................... False no_load_optim ................................... None no_load_rng ..................................... None no_persist_layer_norm ........................... False no_rope_freq .................................... None no_save_optim ................................... None no_save_rng ..................................... None non_persistent_ckpt_type ........................ None non_persistent_global_ckpt_dir .................. None non_persistent_local_ckpt_algo .................. fully_parallel non_persistent_local_ckpt_dir ................... None non_persistent_save_interval .................... None norm_epsilon .................................... 1e-05 normalization ................................... LayerNorm num_attention_heads ............................. 64 num_channels .................................... 3 num_classes ..................................... 1000 num_dataset_builder_threads ..................... 1 num_distributed_optimizer_instances ............. 1 num_experts ..................................... None num_layers ...................................... 2 num_layers_at_end_in_bf16 ....................... 1 num_layers_at_start_in_bf16 ..................... 1 num_layers_per_virtual_pipeline_stage ........... None num_query_groups ................................ 16 num_virtual_stages_per_pipeline_rank ............ None num_workers ..................................... 2 object_storage_cache_path ....................... None one_logger_async ................................ False one_logger_project .............................. megatron-lm one_logger_run_name ............................. None onnx_safe ....................................... None openai_gelu ..................................... False optimizer ....................................... adam optimizer_cpu_offload ........................... False optimizer_offload_fraction ...................... 1.0 output_bert_embeddings .......................... False overlap_cpu_optimizer_d2h_h2d ................... False overlap_grad_reduce ............................. False overlap_p2p_comm ................................ False overlap_p2p_comm_warmup_flush ................... False overlap_param_gather ............................ False overlap_param_gather_with_optimizer_step ........ False override_opt_param_scheduler .................... False params_dtype .................................... torch.float16 patch_dim ....................................... 16 per_split_data_args_path ........................ None perform_initialization .......................... True pin_cpu_grads ................................... True pin_cpu_params .................................. True pipeline_model_parallel_comm_backend ............ None pipeline_model_parallel_size .................... 1 pipeline_model_parallel_split_rank .............. None position_embedding_type ......................... learned_absolute pretrained_checkpoint ........................... None profile ......................................... False profile_ranks ................................... [0] profile_step_end ................................ 12 profile_step_start .............................. 10 q_lora_rank ..................................... None qk_head_dim ..................................... 128 qk_l2_norm ...................................... False qk_layernorm .................................... False qk_pos_emb_head_dim ............................. 64 query_in_block_prob ............................. 0.1 rampup_batch_size ............................... None rank ............................................ 0 recompute_granularity ........................... None recompute_method ................................ None recompute_modules ............................... None recompute_num_layers ............................ None record_memory_history ........................... False relative_attention_max_distance ................. 128 relative_attention_num_buckets .................. 32 replication ..................................... False replication_factor .............................. 2 replication_jump ................................ None rerun_mode ...................................... disabled reset_attention_mask ............................ False reset_position_ids .............................. False result_rejected_tracker_filename ................ None retriever_report_topk_accuracies ................ [] retriever_score_scaling ......................... False retriever_seq_length ............................ 256 retro_add_retriever ............................. False retro_attention_gate ............................ 1 retro_cyclic_train_iters ........................ None retro_encoder_attention_dropout ................. 0.1 retro_encoder_hidden_dropout .................... 0.1 retro_encoder_layers ............................ 2 retro_num_neighbors ............................. 2 retro_num_retrieved_chunks ...................... 2 retro_project_dir ............................... None retro_verify_neighbor_count ..................... True rope_scaling_factor ............................. 8.0 rotary_base ..................................... 10000 rotary_interleaved .............................. False rotary_percent .................................. 1.0 rotary_scaling_factor ........................... 1.0 rotary_seq_len_interpolation_factor ............. None run_workload_inspector_server ................... False sample_rate ..................................... 1.0 save ............................................ /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs save_interval ................................... 16 scatter_gather_tensors_in_pipeline .............. True seed ............................................ 1234 seq_length ...................................... 1024 sequence_parallel ............................... False sgd_momentum .................................... 0.9 short_seq_prob .................................. 0.1 skip_train ...................................... False skipped_train_samples ........................... 0 spec ............................................ None split ........................................... None squared_relu .................................... False start_weight_decay .............................. 0.1 straggler_ctrlr_port ............................ 65535 straggler_minmax_count .......................... 1 suggested_communication_unit_size ............... None swiglu .......................................... False swin_backbone_type .............................. tiny symmetric_ar_type ............................... None te_rng_tracker .................................. False tensor_model_parallel_size ...................... 8 tensorboard_dir ................................. tensorboard-logs/ tensorboard_log_interval ........................ 1 tensorboard_queue_size .......................... 1000 test_data_path .................................. None test_mode ....................................... False tiktoken_num_special_tokens ..................... 1000 tiktoken_pattern ................................ None tiktoken_special_tokens ......................... None timing_log_level ................................ 0 timing_log_option ............................... minmax titles_data_path ................................ None tokenizer_model ................................. None tokenizer_type .................................. GPT2BPETokenizer torch_fsdp2_reshard_after_forward ............... True tp_comm_bootstrap_backend ....................... nccl tp_comm_bulk_dgrad .............................. True tp_comm_bulk_wgrad .............................. True tp_comm_overlap ................................. False tp_comm_overlap_ag .............................. True tp_comm_overlap_cfg ............................. None tp_comm_overlap_rs .............................. True tp_comm_overlap_rs_dgrad ........................ False tp_comm_split_ag ................................ True tp_comm_split_rs ................................ True train_data_path ................................. None train_iters ..................................... 10 train_samples ................................... None train_sync_interval ............................. None transformer_impl ................................ transformer_engine transformer_pipeline_model_parallel_size ........ 1 untie_embeddings_and_output_weights ............. False use_checkpoint_args ............................. False use_checkpoint_opt_param_scheduler .............. False use_cpu_initialization .......................... None use_custom_fsdp ................................. False use_dist_ckpt ................................... True use_dist_ckpt_deprecated ........................ False use_distributed_optimizer ....................... False use_flash_attn .................................. False use_legacy_models ............................... False use_mp_args_from_checkpoint_args ................ False use_one_sent_docs ............................... False use_persistent_ckpt_worker ...................... False use_precision_aware_optimizer ................... False use_pytorch_profiler ............................ False use_ring_exchange_p2p ........................... False use_rope_scaling ................................ False use_rotary_position_embeddings .................. False use_sharp ....................................... False use_tokenizer_model_from_checkpoint_args ........ True use_torch_fsdp2 ................................. False use_torch_optimizer_for_cpu_offload ............. False use_tp_pp_dp_mapping ............................ False v_head_dim ...................................... 128 valid_data_path ................................. None variable_seq_lengths ............................ False virtual_pipeline_model_parallel_size ............ None vision_backbone_type ............................ vit vision_pretraining .............................. False vision_pretraining_type ......................... classify vocab_extra_ids ................................. 0 vocab_file ...................................... vocab.json vocab_size ...................................... None wandb_exp_name .................................. wandb_project ................................... wandb_save_dir .................................. weight_decay .................................... 0.1 weight_decay_incr_style ......................... constant wgrad_deferral_limit ............................ 0 world_size ...................................... 64 yaml_cfg ........................................ None -------------------- end of arguments --------------------- INFO:megatron.core.num_microbatches_calculator:setting number of microbatches to constant 1 > building GPT2BPETokenizer tokenizer ... INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 > padded vocab (size: 50257) with 943 dummy tokens (new size: 51200) INFO:megatron.training.initialize:Setting logging level to 0 WARNING:megatron.core.rerun_state_machine:RerunStateMachine initialized in mode RerunMode.DISABLED > initializing torch distributed ... INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 > initialized tensor model parallel with size 8 > initialized pipeline model parallel with size 1 > setting random seeds to 1234 ... > compiling dataset index builder ... make: Entering directory '/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/datasets' INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 make: Nothing to be done for 'default'. make: Leaving directory '/mnt/weka/home/hao.zhang/junda/attnserver-megatron/megatron/core/datasets' >>> done with dataset index builder. Compilation time: 0.042 seconds > compiling and loading fused kernels ... INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 INFO:megatron.training.initialize:Setting logging level to 0 >>> done with compiling and loading fused kernels. Compilation time: 3.965 seconds time to initialize megatron (seconds): 11.077 [after megatron is initialized] datetime: 2025-06-21 22:47:42 building GPT model ... >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding>>> embedding >>> decoder>>> decoder >>> output_layer>>> output_layer >>> embedding>>> embedding >>> decoder >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> embedding>>> embedding>>> decoder >>> decoder>>> output_layer >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> output_layer >>> decoder>>> decoder >>> output_layer>>> output_layer >>> embedding >>> decoder >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> embedding > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 >>> decoder >>> decoder >>> output_layer >>> embedding >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 >>> output_layer >>> decoder > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> embedding>>> output_layer >>> decoder >>> output_layer >>> embedding>>> embedding >>> decoder>>> decoder >>> output_layer>>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> output_layer >>> embedding >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> decoder > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> embedding >>> decoder >>> decoder >>> output_layer >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer >>> embedding > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (1, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (4, 0): 74511872 INFO:megatron.core.distributed.distributed_data_parallel:Setting up DistributedDataParallel with config DistributedDataParallelConfig(grad_reduce_in_fp32=False, overlap_grad_reduce=False, overlap_param_gather=False, align_param_gather=False, use_distributed_optimizer=False, num_distributed_optimizer_instances=1, check_for_nan_in_grad=False, check_for_large_grads=False, bucket_size=None, pad_buckets_for_high_nccl_busbw=False, average_in_collective=False, fp8_param_gather=False, use_custom_fsdp=False, data_parallel_sharding_strategy='no_shard', gradient_reduce_div_fusion=True, suggested_communication_unit_size=None, preserve_fp32_weights=True, keep_fp8_transpose_cache_when_using_custom_fsdp=False, nccl_ub=False, fsdp_double_buffer=False) >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (5, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (0, 0): 74511872 >>> embedding >>> decoder >>> output_layer >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (2, 0): 74511872 > number of parameters on (tensor, pipeline) model parallel rank (3, 0): 74511872 INFO:megatron.core.distributed.param_and_grad_buffer:Number of buckets for gradient all-reduce / reduce-scatter: 1 Params for bucket 1 (74511872 elements, 74511872 padded size): module.decoder.layers.1.mlp.linear_fc2.bias module.decoder.layers.1.self_attention.linear_qkv.layer_norm_weight module.decoder.layers.0.self_attention.linear_qkv.weight module.decoder.layers.1.self_attention.linear_qkv.layer_norm_bias module.decoder.layers.1.mlp.linear_fc1.bias module.decoder.layers.0.mlp.linear_fc2.weight module.decoder.layers.0.mlp.linear_fc1.bias module.embedding.word_embeddings.weight module.decoder.final_layernorm.bias module.decoder.layers.1.self_attention.linear_qkv.weight module.decoder.layers.1.self_attention.linear_proj.weight module.decoder.layers.0.self_attention.linear_qkv.bias module.embedding.position_embeddings.weight module.decoder.layers.1.mlp.linear_fc2.weight module.decoder.layers.1.self_attention.linear_proj.bias module.decoder.layers.0.self_attention.linear_qkv.layer_norm_weight module.decoder.final_layernorm.weight module.decoder.layers.1.mlp.linear_fc1.layer_norm_bias module.decoder.layers.0.mlp.linear_fc1.layer_norm_bias module.decoder.layers.0.self_attention.linear_proj.weight module.decoder.layers.1.mlp.linear_fc1.layer_norm_weight module.decoder.layers.1.self_attention.linear_qkv.bias module.decoder.layers.0.mlp.linear_fc2.bias module.decoder.layers.0.mlp.linear_fc1.layer_norm_weight module.decoder.layers.0.self_attention.linear_qkv.layer_norm_bias module.decoder.layers.0.self_attention.linear_proj.bias module.decoder.layers.1.mlp.linear_fc1.weight module.decoder.layers.0.mlp.linear_fc1.weight INFO:megatron.core.optimizer:Setting up optimizer with config OptimizerConfig(optimizer='adam', lr=0.0005, min_lr=0.0, decoupled_lr=None, decoupled_min_lr=None, weight_decay=0.1, fp16=True, bf16=False, params_dtype=torch.float16, use_precision_aware_optimizer=False, store_param_remainders=True, main_grads_dtype=torch.float32, main_params_dtype=torch.float32, exp_avg_dtype=torch.float32, exp_avg_sq_dtype=torch.float32, loss_scale=None, initial_loss_scale=4294967296, min_loss_scale=1.0, loss_scale_window=1000, hysteresis=2, adam_beta1=0.9, adam_beta2=0.999, adam_eps=1e-08, sgd_momentum=0.9, use_distributed_optimizer=False, overlap_param_gather_with_optimizer_step=False, optimizer_cpu_offload=False, optimizer_offload_fraction=1.0, use_torch_optimizer_for_cpu_offload=False, overlap_cpu_optimizer_d2h_h2d=False, pin_cpu_grads=True, pin_cpu_params=True, clip_grad=1.0, log_num_zeros_in_grad=False, barrier_with_L1_time=True, timers=, config_logger_dir='') >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (6, 0): 74511872 >>> embedding >>> decoder >>> output_layer > number of parameters on (tensor, pipeline) model parallel rank (7, 0): 74511872 INFO:megatron.core.optimizer_param_scheduler:> learning rate decay style: cosine WARNING: could not find the metadata file /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs/latest_checkpointed_iteration.txt will not load any checkpoints and will start from random (min, max) time across ranks (ms): load-checkpoint ................................: (5.38, 5.71) [after model, optimizer, and learning rate scheduler are built] datetime: 2025-06-21 22:47:43 > building train, validation, and test datasets ... > datasets target sizes (minimum size): train: 10 validation: 1 test: 1 INFO:megatron.core.datasets.blended_megatron_dataset_config:Let mock = True, as both blend and blend_per_split are None INFO:megatron.core.datasets.blended_megatron_dataset_config:Let split = 1,1,1, an arbitrarily even split, as mock is True INFO:megatron.core.datasets.blended_megatron_dataset_config:Let split_matrix = [(0, 0.3333333333333333), (0.3333333333333333, 0.6666666666666666), (0.6666666666666666, 1.0)] > building train, validation, and test datasets for GPT ... INFO:megatron.core.datasets.blended_megatron_dataset_builder:Building MockGPTDataset splits with sizes=(10, 1, 1) and config=GPTDatasetConfig(random_seed=1234, sequence_length=1024, blend=None, blend_per_split=None, split='1,1,1', split_matrix=[(0, 0.3333333333333333), (0.3333333333333333, 0.6666666666666666), (0.6666666666666666, 1.0)], num_dataset_builder_threads=1, path_to_cache=None, mmap_bin_files=True, mock=True, tokenizer=, mid_level_dataset_surplus=0.005, reset_position_ids=False, reset_attention_mask=False, eod_mask_loss=False, create_attention_mask=True, drop_last_partial_validation_sequence=True, add_extra_token_to_sequence=True, object_storage_cache_path=None) INFO:megatron.core.datasets.gpt_dataset:Build and save the MockGPTDataset train indices DEBUG:megatron.core.datasets.gpt_dataset:> separate_final_epoch: False WARNING:megatron.core.datasets.gpt_dataset:Unable to save MockGPTDataset indexes because path_to_cache is None DEBUG:megatron.core.datasets.gpt_dataset: > time elapsed: 0.006331 seconds INFO:megatron.core.datasets.gpt_dataset:> total number of samples: 66592 INFO:megatron.core.datasets.gpt_dataset:> total number of epochs: 1 INFO:megatron.core.datasets.gpt_dataset:Build and save the MockGPTDataset valid indices DEBUG:megatron.core.datasets.gpt_dataset:> separate_final_epoch: False WARNING:megatron.core.datasets.gpt_dataset:Unable to save MockGPTDataset indexes because path_to_cache is None DEBUG:megatron.core.datasets.gpt_dataset: > time elapsed: 0.003532 seconds INFO:megatron.core.datasets.gpt_dataset:> total number of samples: 66562 INFO:megatron.core.datasets.gpt_dataset:> total number of epochs: 1 INFO:megatron.core.datasets.gpt_dataset:Build and save the MockGPTDataset test indices DEBUG:megatron.core.datasets.gpt_dataset:> separate_final_epoch: False WARNING:megatron.core.datasets.gpt_dataset:Unable to save MockGPTDataset indexes because path_to_cache is None DEBUG:megatron.core.datasets.gpt_dataset: > time elapsed: 0.003378 seconds INFO:megatron.core.datasets.gpt_dataset:> total number of samples: 66686 INFO:megatron.core.datasets.gpt_dataset:> total number of epochs: 1 > finished creating GPT datasets ... [after dataloaders are built] datetime: 2025-06-21 22:47:43 done with setup ... training ... (min, max) time across ranks (ms): model-and-optimizer-setup ......................: (498.96, 536.19) train/valid/test-data-iterators-setup ..........: (21.37, 155.81) Setting rerun_state_machine.current_iteration to 0... [before the start of training step] datetime: 2025-06-21 22:47:43 batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: loss_masklabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: attention_maskposition_ids batch tensor:torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor:tokens position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:attention_mask attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) tokensbatch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: loss_mask tokenstorch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: batch tensor:labels torch.Size([1, 1024])tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024])batch tensor: tokens batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: attention_maskbatch tensor: tokens torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])labels batch tensor:torch.Size([1, 1024]) position_idstorch.Size([1, 1024])batch tensor: batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor: batch tensor: loss_masktokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) loss_mask labelsbatch tensor: torch.Size([1, 1024])torch.Size([1, 1024])labels batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:batch tensor: loss_mask batch tensor:attention_masktorch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: position_ids torch.Size([1, 1024])tokens torch.Size([1, 1024]) batch tensor:batch tensor: tokenslabels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor:torch.Size([1, 1024]) position_ids batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) attention_mask batch tensor: position_idsbatch tensor: torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024])attention_mask batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) position_ids batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_idsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:labels loss_mask torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])attention_mask batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 1024, 1024]) attention_maskbatch tensor: position_idstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_ids position_idstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens batch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelstorch.Size([1, 128]) tokenstorch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelsloss_mask torch.Size([1, 128])torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: batch tensor after cp: batch tensor after cp: labelsattention_masktokensloss_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:batch tensor after cp:batch tensor after cp: torch.Size([1, 128]) loss_maskattention_mask position_ids tokens batch tensor after cp:torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp:labels batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) torch.Size([1, 128])position_idsbatch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128])attention_maskbatch tensor after cp: batch tensor after cp: torch.Size([1, 1, 128, 1024])loss_masklabels batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp:batch tensor after cp: loss_maskattention_masktorch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokens tokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labelsbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp:batch tensor after cp: attention_maskposition_ids tokenstorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) position_ids batch tensor after cp: torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) Start exporting trace 0 Done exporting trace 0 Number of parameters in transformer block in billions: 0.35 Number of parameters in embedding layers in billions: 0.21 Total number of parameters in billions: 0.56 Number of parameters in most loaded shard in billions: 0.0703 Theoretical memory footprints: weight and optimizer=1206.09 MB [Rank 0] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 10] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 13] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 12] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 33] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 34] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 32] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 35] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 38] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 37] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 25] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 16] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 43] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 42] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 46] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 44] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [2025-06-21 22:47:56] iteration 1/ 10 | consumed samples: 1 | elapsed time per iteration (ms): 12498.3 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 4294967296.0 | number of skipped iterations: 1 | number of nan iterations: 0 | [Rank 49] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 48] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 2] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 1] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 15] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0[Rank 9] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 36] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 39] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 24] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 17] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 45] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 40] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 59] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0[Rank 58] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 51] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 5] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 4] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 8] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 28] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 26] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 20] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 47] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 60] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 50] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 54] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 55] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 53] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 6] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 14] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 29] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 31] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 27] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 30] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 18] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0[Rank 19] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0[Rank 23] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 41] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 56] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 52] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 7] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 11] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 22] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1090.0 | max reserved: 1090.0 [Rank 62] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 3] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 21] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 63] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 [Rank 57] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 batch tensor: tokens batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor:batch tensor: [Rank 61] (after 1 iterations) memory (MB) | allocated: 991.8828125 | max allocated: 991.8837890625 | reserved: 1088.0 | max reserved: 1088.0 batch tensor: tokens torch.Size([1, 1024]) labels batch tensor:torch.Size([1, 1024]) tokenslabels batch tensor:torch.Size([1, 1024]) loss_mask batch tensor: torch.Size([1, 1024])loss_mask batch tensor:batch tensor: labels tokenstorch.Size([1, 1024]) batch tensor:batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024])tokensbatch tensor: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024])tokens batch tensor: batch tensor:tokenstokens tokenslabels torch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1024])batch tensor: loss_masktorch.Size([1, 1024])batch tensor:batch tensor: torch.Size([1, 1024])labelslabelsbatch tensor: torch.Size([1, 1024])batch tensor:labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: loss_mask torch.Size([1, 1024])tokens batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: attention_masktorch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor:labels batch tensor:attention_masktorch.Size([1, 1024]) position_idstorch.Size([1, 1, 1024, 1024])batch tensor: attention_masktokens batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) position_ids batch tensor: torch.Size([1, 1024])loss_maskbatch tensor: batch tensor:torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024])batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024])batch tensor: attention_mask batch tensor:torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])batch tensor: loss_maskbatch tensor:loss_maskbatch tensor: torch.Size([1, 1024])position_idstorch.Size([1, 1024]) loss_mask batch tensor: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: position_ids batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])torch.Size([1, 1024]) loss_maskbatch tensor:torch.Size([1, 1024]) position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) labelslabels batch tensor: torch.Size([1, 1024]) torch.Size([1, 1024]) attention_mask batch tensor:batch tensor: torch.Size([1, 1, 1024, 1024]) loss_mask loss_mask batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor:labels position_idsposition_idstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:tokens attention_mask torch.Size([1, 1, 1024, 1024]) attention_mask torch.Size([1, 1, 1024, 1024])batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: loss_mask labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens batch tensor:torch.Size([1, 1024]) torch.Size([1, 1024]) position_ids batch tensor:batch tensor:torch.Size([1, 1024]) attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_idstorch.Size([1, 1024])batch tensor:batch tensor: torch.Size([1, 1024])position_ids batch tensor:position_ids torch.Size([1, 1024])labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor:batch tensor: attention_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:attention_mask position_idstorch.Size([1, 1, 1024, 1024]) tokens batch tensor: labelsbatch tensor: torch.Size([1, 1024])labels torch.Size([1, 1024])batch tensor:batch tensor: loss_masktorch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])tokens batch tensor: batch tensor:batch tensor: position_idsposition_ids torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens batch tensor: tokenstorch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024]) labelsbatch tensor: loss_mask attention_masktorch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])batch tensor:batch tensor: tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])labels torch.Size([1, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) attention_maskbatch tensor after cp: attention_masktorch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:position_ids position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor: tokensbatch tensor: tokens torch.Size([1, 1024]) batch tensor: labelstorch.Size([1, 1024]) torch.Size([1, 1024]) attention_maskloss_maskbatch tensor:batch tensor: torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) position_idslabelsbatch tensor: batch tensor: torch.Size([1, 1024])tokens batch tensor:batch tensor: position_ids tokenstorch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])tokens batch tensor:batch tensor: attention_maskloss_mask torch.Size([1, 1024]) tokens torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labelsloss_mask torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor: batch tensor:loss_masktokens attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor:position_idstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:attention_mask batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) attention_maskbatch tensor: torch.Size([1, 1024]) position_ids torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: torch.Size([1, 1024])position_ids attention_mask torch.Size([1, 1024])batch tensor:torch.Size([1, 1, 1024, 1024]) labelsbatch tensor: position_idstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024]) batch tensor: attention_mask tokenstorch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) loss_masktorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: torch.Size([1, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: labels tokenstorch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels batch tensor after cp:torch.Size([1, 128])batch tensor after cp: batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:position_ids torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor: torch.Size([1, 1024])position_ids batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:tokenstokens batch tensor after cp:batch tensor after cp: loss_mask tokenstokenstorch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) labels batch tensor:torch.Size([1, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) labels batch tensor after cp: batch tensor after cp:labels torch.Size([1, 128])labels labelstorch.Size([1, 128])batch tensor after cp:attention_mask torch.Size([1, 128]) batch tensor after cp: loss_masktokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 1024]) position_ids torch.Size([1, 128])batch tensor: batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) loss_maskbatch tensor: torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 128]) loss_mask torch.Size([1, 1, 128, 1024])batch tensor after cp:loss_maskbatch tensor after cp: loss_mask torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp: loss_masktorch.Size([1, 128]) labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) position_ids batch tensor:torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:position_ids batch tensor after cp:torch.Size([1, 128])batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens batch tensor after cp:torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokensbatch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 1024])loss_mask torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) attention_mask attention_mask torch.Size([1, 128])batch tensor after cp:attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024])attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: batch tensor after cp: position_idstorch.Size([1, 1, 128, 1024])position_ids position_idstorch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) tokens batch tensor:torch.Size([1, 128]) batch tensor after cp:labels batch tensor after cp: tokens torch.Size([1, 1024]) labels batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor after cp: labelsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:batch tensor after cp: loss_maskbatch tensor after cp: batch tensor after cp: tokenstokens batch tensor after cp:torch.Size([1, 1024])labels loss_maskbatch tensor after cp: batch tensor: torch.Size([1, 128])tokens batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: batch tensor after cp:loss_mask position_ids torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: attention_maskbatch tensor after cp: torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) tokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokensbatch tensor: position_idstorch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: torch.Size([1, 128])batch tensor after cp:batch tensor after cp: attention_maskbatch tensor after cp: loss_mask batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:labels torch.Size([1, 128])labels position_ids labelsattention_masktorch.Size([1, 1, 1024, 1024]) loss_maskbatch tensor after cp:torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokensbatch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 1024])labels torch.Size([1, 128]) batch tensor:batch tensor after cp: labelsloss_mask torch.Size([1, 1024])torch.Size([1, 128]) batch tensor:batch tensor after cp: loss_maskattention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) loss_maskbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp: torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor: labelsloss_mask batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor: position_idsattention_mask torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: loss_masktokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: attention_maskbatch tensor after cp: labelstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens batch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp:torch.Size([1, 128]) labels batch tensor after cp:torch.Size([1, 128]) labelsbatch tensor after cp: batch tensor after cp: torch.Size([1, 128])tokensloss_mask batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) loss_mask batch tensor after cp:attention_mask batch tensor after cp:position_idsposition_idstorch.Size([1, 128]) torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp:attention_mask batch tensor after cp:batch tensor after cp: loss_masklabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskloss_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids loss_mask batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_idsbatch tensor: torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:torch.Size([1, 128]) attention_masklabelsbatch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: attention_maskposition_idstorch.Size([1, 1, 128, 1024]) loss_masktorch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskposition_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_ids tokenstorch.Size([1, 128]) tokensbatch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 1024])loss_mask torch.Size([1, 128])batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) tokensbatch tensor after cp: attention_masktorch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp:batch tensor after cp: batch tensor after cp:position_idsloss_mask position_idstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: torch.Size([1, 128])position_ids batch tensor after cp: batch tensor after cp:torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: batch tensor after cp:tokens attention_mask labelstorch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:tokens attention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:labels position_idstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:batch tensor: position_idslabelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:batch tensor after cp: tokenstokens tokens torch.Size([1, 128])torch.Size([1, 128])batch tensor: torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: batch tensor after cp:labelslabels tokenslabelstorch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:labels position_idstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idstokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_maskbatch tensor: torch.Size([1, 128])attention_mask batch tensor after cp:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: torch.Size([1, 128])loss_maskbatch tensor after cp: batch tensor after cp:loss_masktorch.Size([1, 128]) torch.Size([1, 1024])loss_mask torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokensloss_mask torch.Size([1, 128])torch.Size([1, 128]) attention_mask batch tensor:torch.Size([1, 1, 128, 1024]) position_ids batch tensor after cp:torch.Size([1, 1024]) position_ids torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor: batch tensor after cp: attention_mask batch tensor after cp: labels attention_masktorch.Size([1, 1, 128, 1024]) attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp: torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelsattention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])position_ids batch tensor after cp: torch.Size([1, 128])attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:position_ids position_idsloss_mask torch.Size([1, 128])position_ids torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128])tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:batch tensor after cp: attention_mask tokens tokens torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids batch tensor after cp: labels torch.Size([1, 128]) labels torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask loss_masktorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp: position_idsbatch tensor after cp: position_idstorch.Size([1, 128]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_idsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) Start exporting trace 1 Done exporting trace 1 [2025-06-21 22:47:56] iteration 2/ 10 | consumed samples: 2 | elapsed time per iteration (ms): 166.8 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 2147483648.0 | number of skipped iterations: 1 | number of nan iterations: 0 | batch tensor: batch tensor:tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor: torch.Size([1, 1024])labels batch tensor:torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:labels labelstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:attention_mask attention_masktorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:batch tensor:position_ids position_idstorch.Size([1, 1024])tokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labelsbatch tensor: torch.Size([1, 1024]) batch tensor:tokens loss_mask torch.Size([1, 1024]) batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens batch tensor:batch tensor:tokenstorch.Size([1, 1024]) tokenstokens torch.Size([1, 1024]) batch tensor: labels batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])labels batch tensor:batch tensor:torch.Size([1, 1024])batch tensor: labels loss_maskbatch tensor:labels torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) loss_mask batch tensor:batch tensor: loss_maskbatch tensor: torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels batch tensor:torch.Size([1, 1024]) batch tensor: tokensloss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokens batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask torch.Size([1, 1024])batch tensor: labelsbatch tensor: batch tensor: torch.Size([1, 1024])attention_mask batch tensor:tokens torch.Size([1, 1, 1024, 1024])loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:torch.Size([1, 1024])position_ids attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask batch tensor: torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024])batch tensor: batch tensor:attention_mask attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask torch.Size([1, 1024]) tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024]) tokensbatch tensor: loss_mask torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: labelsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: position_idslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) loss_masktorch.Size([1, 1024])attention_maskbatch tensor: torch.Size([1, 1024])batch tensor: attention_masktorch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:torch.Size([1, 1, 1024, 1024]) attention_maskposition_ids attention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024])batch tensor: labelsbatch tensor: torch.Size([1, 1024])position_ids batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:tokensbatch tensor: tokens tokensattention_mask torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1024])batch tensor:batch tensor: batch tensor: batch tensor:labelsposition_idstokenslabels torch.Size([1, 1024]) labelstorch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: tokensposition_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:position_ids batch tensor:position_idstorch.Size([1, 1024]) torch.Size([1, 1024])position_ids torch.Size([1, 1024])batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:labels labelstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_maskbatch tensor: loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_maskbatch tensor: attention_masktorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor:loss_mask batch tensor:torch.Size([1, 1024])batch tensor: loss_maskloss_masklabels torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor: batch tensor:attention_maskbatch tensor:attention_mask torch.Size([1, 1, 1024, 1024])attention_maskloss_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:batch tensor: position_idsbatch tensor: position_idsbatch tensor:attention_mask torch.Size([1, 1024])position_ids torch.Size([1, 1024]) tokenstorch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) position_idsbatch tensor: position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])batch tensor: batch tensor:batch tensor: labelsattention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor after cp: batch tensor:tokens loss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: batch tensor:tokens labelstokens torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor after cp:loss_mask batch tensor: batch tensor:torch.Size([1, 1024])labelstokens torch.Size([1, 1024])labelstorch.Size([1, 128])batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokensattention_mask torch.Size([1, 1, 1024, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024])batch tensor:batch tensor: attention_mask tokens torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: batch tensor: batch tensor after cp: position_idslabelstokens batch tensor after cp:torch.Size([1, 128])torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: tokens loss_maskbatch tensor after cp: torch.Size([1, 128])labelstorch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: labels batch tensor after cp:attention_mask torch.Size([1, 128]) loss_mask torch.Size([1, 1, 128, 1024])batch tensor after cp:batch tensor after cp: torch.Size([1, 128]) loss_maskbatch tensor after cp: batch tensor after cp:tokensposition_idstorch.Size([1, 128]) attention_mask batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) attention_mask batch tensor after cp:batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_idslabels batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) attention_mask batch tensor:torch.Size([1, 1024])labels tokens torch.Size([1, 1, 1024, 1024])batch tensor: torch.Size([1, 128]) loss_mask batch tensor after cp:batch tensor: loss_maskloss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labelsbatch tensor: torch.Size([1, 1024]) batch tensor: tokensloss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelstokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128]) position_idstorch.Size([1, 1024]) torch.Size([1, 128])batch tensor: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens batch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp:torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) loss_maskbatch tensor after cp: torch.Size([1, 128])loss_mask torch.Size([1, 128])batch tensor after cp: batch tensor after cp: batch tensor after cp: attention_mask tokens attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])torch.Size([1, 1, 128, 1024])batch tensor after cp: position_idsbatch tensor after cp: batch tensor after cp: torch.Size([1, 128]) labels position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor after cp:batch tensor after cp: torch.Size([1, 1024])tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor: batch tensor after cp:labels batch tensor after cp: labels torch.Size([1, 1024]) labels torch.Size([1, 128]) batch tensor:torch.Size([1, 128]) loss_maskbatch tensor after cp:batch tensor after cp: torch.Size([1, 1024])loss_maskloss_mask batch tensor:torch.Size([1, 128])torch.Size([1, 128]) attention_maskbatch tensor after cp: batch tensor after cp: attention_masktorch.Size([1, 1, 1024, 1024])attention_mask torch.Size([1, 1, 128, 1024])batch tensor:torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128])labels torch.Size([1, 128]) torch.Size([1, 1024])batch tensor:attention_mask batch tensor after cp:batch tensor: labelstorch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:batch tensor: position_idslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128]) tokens batch tensor after cp: attention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024])batch tensor:attention_maskattention_mask batch tensor:position_idstorch.Size([1, 1, 128, 1024])torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])loss_maskbatch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128])batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) tokensbatch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskattention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:attention_mask position_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128])batch tensor after cp: batch tensor after cp:tokens attention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor: torch.Size([1, 1024])batch tensor: position_ids batch tensor after cp:tokens position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:tokens torch.Size([1, 128])tokens batch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128])batch tensor after cp: labelsbatch tensor after cp: loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_maskbatch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp:attention_mask batch tensor after cp: tokens torch.Size([1, 1, 128, 1024])position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: position_idslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) position_ids tokens torch.Size([1, 128])torch.Size([1, 1024])batch tensor: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:position_ids labelstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor:torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokensposition_ids torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels tokenstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) position_idsbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) tokens batch tensor after cp: torch.Size([1, 128])attention_mask batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelsbatch tensor:labels torch.Size([1, 1024])torch.Size([1, 1024]) attention_maskbatch tensor after cp: loss_masktorch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:position_ids attention_masktorch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:torch.Size([1, 1, 128, 1024]) labels batch tensor after cp: batch tensor after cp:torch.Size([1, 128]) batch tensor:batch tensor:tokens loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor:attention_mask attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: torch.Size([1, 1, 1024, 1024])labelsbatch tensor: batch tensor:torch.Size([1, 1024])position_ids position_idsbatch tensor:torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) position_idstokensbatch tensor after cp: batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) tokens torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) tokensbatch tensor after cp: labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels batch tensor after cp:torch.Size([1, 128]) tokensbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp: labelstokens loss_masktorch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 128])attention_mask batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) labelsbatch tensor after cp:batch tensor after cp: torch.Size([1, 128])attention_mask labelsbatch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:batch tensor after cp: attention_mask loss_maskbatch tensor after cp: labels torch.Size([1, 1, 128, 1024])torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128])tokens batch tensor after cp: torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:torch.Size([1, 128]) position_idsbatch tensor after cp: torch.Size([1, 128])attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labels tokenstorch.Size([1, 128]) torch.Size([1, 128])loss_maskbatch tensor after cp: batch tensor after cp: torch.Size([1, 128])position_ids loss_maskbatch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:tokens batch tensor after cp: position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) Start exporting trace 2 batch tensor after cp:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) labels batch tensor after cp: torch.Size([1, 128])attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokens batch tensor: labels torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:labels attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024])batch tensor: batch tensor after cp:batch tensor after cp: tokens tokensbatch tensor after cp: torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128])loss_mask attention_mask batch tensor after cp:torch.Size([1, 128]) [2025-06-21 22:47:56] iteration 3/ 10 | consumed samples: 3 | elapsed time per iteration (ms): 48.3 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 1073741824.0 | number of skipped iterations: 1 | number of nan iterations: 0 | batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokens batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) batch tensor:labels attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:loss_mask position_idstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) Done exporting trace 2 position_idsbatch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_maskbatch tensor after cp: torch.Size([1, 1, 128, 1024])position_ids batch tensor after cp:torch.Size([1, 128]) position_ids torch.Size([1, 128]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokenstorch.Size([1, 128])batch tensor after cp: labels torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) labelstorch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: torch.Size([1, 128]) position_ids batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor: tokensattention_mask torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024]) labels batch tensor:torch.Size([1, 1024]) loss_maskbatch tensor: batch tensor: torch.Size([1, 1024])loss_mask batch tensor:tokenstorch.Size([1, 1024]) attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024])attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) position_idsbatch tensor:batch tensor: labels torch.Size([1, 1024])position_idstorch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokens tokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])batch tensor: batch tensor: attention_masktokens torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor after cp: batch tensor after cp:labelsbatch tensor after cp: labelstorch.Size([1, 128])loss_mask torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: attention_maskbatch tensor after cp: attention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024])loss_masktorch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor: labelsposition_ids torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024])batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) tokens batch tensor:torch.Size([1, 128]) batch tensor after cp:loss_maskbatch tensor after cp: loss_masktorch.Size([1, 128])attention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 128])batch tensor after cp: batch tensor after cp:attention_maskbatch tensor after cp: position_idsattention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: position_ids batch tensor after cp:position_idstorch.Size([1, 128]) attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) labelsbatch tensor after cp: labelstorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp:position_ids position_idstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask loss_masktorch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024]) batch tensor:batch tensor after cp: loss_mask loss_mask torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: batch tensor:attention_mask attention_masktorch.Size([1, 1, 128, 1024]) batch tensor after cp: torch.Size([1, 1, 1024, 1024])position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:attention_maskbatch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor:labels loss_masktorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])tokensbatch tensor after cp: batch tensor after cp:batch tensor after cp: labels batch tensor after cp:tokenstorch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128])tokens batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:position_ids torch.Size([1, 128])position_ids torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) loss_maskbatch tensor after cp: torch.Size([1, 128]) torch.Size([1, 128])labelsbatch tensor after cp: batch tensor after cp:torch.Size([1, 128])labels batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])position_ids batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) batch tensor: attention_masktokens torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:attention_masktorch.Size([1, 128]) loss_masktorch.Size([1, 1, 128, 1024])batch tensor after cp: torch.Size([1, 128])batch tensor after cp:loss_mask batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128])batch tensor after cp: batch tensor after cp:tokens loss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) position_ids attention_mask batch tensor after cp: torch.Size([1, 128])torch.Size([1, 1, 128, 1024])attention_mask batch tensor: tokens torch.Size([1, 1024])batch tensor: batch tensor after cp:batch tensor after cp: labelsattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: loss_maskposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp: torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) tokensbatch tensor after cp: attention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:attention_mask batch tensor:labelstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) batch tensor: batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:labelsbatch tensor: attention_masktorch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels position_ids torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) tokens batch tensor: position_ids loss_masktorch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])tokensbatch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: labelsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) loss_mask batch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) position_ids batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:batch tensor: tokensloss_maskposition_ids batch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_idsbatch tensor:position_ids batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) tokens batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:attention_mask batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:tokens batch tensor:batch tensor:attention_mask labelstorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) labelstorch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1024])batch tensor: torch.Size([1, 1024]) batch tensor:labels labels batch tensor: torch.Size([1, 1024])labels batch tensor:torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024])batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: position_idsbatch tensor: torch.Size([1, 1024])loss_mask batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) position_ids loss_maskbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024])labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor:batch tensor:loss_mask attention_maskloss_masktorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: torch.Size([1, 1, 1024, 1024])batch tensor: attention_maskbatch tensor: attention_masktorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: position_idsbatch tensor: torch.Size([1, 1024])position_ids batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:attention_mask batch tensor:attention_mask position_idstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])tokenstorch.Size([1, 1024]) batch tensor:batch tensor: torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:labels labelstorch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) position_idsposition_ids torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_maskbatch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: attention_maskbatch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_idsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokens tokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels labelstorch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) tokensbatch tensor after cp: labelstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_ids batch tensor after cp:torch.Size([1, 128]) position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor: tokens tokenstorch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: loss_maskattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels torch.Size([1, 128])batch tensor after cp:tokens batch tensor after cp:tokenstorch.Size([1, 128]) loss_maskbatch tensor after cp: batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) tokens labels batch tensor after cp:batch tensor after cp: torch.Size([1, 128]) labels torch.Size([1, 128])attention_maskbatch tensor after cp: batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])labels loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor after cp: attention_maskposition_ids torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) loss_maskposition_idsbatch tensor after cp:torch.Size([1, 128]) loss_masktorch.Size([1, 128])torch.Size([1, 128])batch tensor after cp: torch.Size([1, 128]) batch tensor after cp: attention_mask batch tensor after cp:attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024])tokensattention_mask batch tensor after cp:batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_idstorch.Size([1, 128])position_ids batch tensor after cp: batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) position_ids labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 128]) labels batch tensor after cp:torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: attention_maskbatch tensor: torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) position_ids batch tensor:torch.Size([1, 128]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:batch tensor after cp: position_ids batch tensor after cp:position_idstokens tokenstorch.Size([1, 128])torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:labels labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:loss_mask loss_masktorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp:position_ids position_idstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor after cp: loss_mask tokenstorch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) [2025-06-21 22:47:56] iteration 4/ 10 | consumed samples: 4 | elapsed time per iteration (ms): 45.8 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 536870912.0 | number of skipped iterations: 1 | number of nan iterations: 0 | Start exporting trace 3 batch tensor after cp: attention_maskbatch tensor after cp:torch.Size([1, 1024]) tokenstorch.Size([1, 1, 128, 1024]) batch tensor:torch.Size([1, 128]) batch tensor after cp: labels batch tensor after cp:position_idstorch.Size([1, 1024]) torch.Size([1, 128])labelsbatch tensor: loss_masktorch.Size([1, 128])batch tensor after cp: torch.Size([1, 1024])batch tensor after cp:tokens loss_maskbatch tensor: torch.Size([1, 128]) torch.Size([1, 128])attention_maskbatch tensor after cp: batch tensor after cp:batch tensor: loss_masktokens torch.Size([1, 1024]) torch.Size([1, 128])batch tensor: Done exporting trace 3 batch tensor after cp:torch.Size([1, 1, 1024, 1024])labels attention_maskbatch tensor:torch.Size([1, 128]) position_idstorch.Size([1, 1, 128, 1024])batch tensor after cp: attention_maskbatch tensor after cp: torch.Size([1, 1, 1024, 1024])labels batch tensor:torch.Size([1, 128]) position_idsbatch tensor after cp: torch.Size([1, 1024])loss_mask batch tensor after cp:torch.Size([1, 1024]) loss_maskposition_ids batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 128])tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 128])attention_mask torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:labels position_idstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels tokenstorch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024])labels batch tensor:torch.Size([1, 1024]) position_idsbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) batch tensor: tokensattention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_ids torch.Size([1, 1024])tokens batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:batch tensor: attention_mask batch tensor: tokenstorch.Size([1, 1, 1024, 1024])labels batch tensor:torch.Size([1, 1024]) position_ids batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:labels attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:loss_mask position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels batch tensor:torch.Size([1, 1024]) labels batch tensor: torch.Size([1, 1024])loss_mask batch tensor:torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024])position_ids batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128])batch tensor: batch tensor after cp: batch tensor:tokenslabels torch.Size([1, 128])tokens batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: tokens tokenstokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 1024])batch tensor after cp: loss_masktorch.Size([1, 1024]) batch tensor: torch.Size([1, 128])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: torch.Size([1, 1024]) labels batch tensor:torch.Size([1, 1024]) batch tensor: labelsbatch tensor: batch tensor:torch.Size([1, 1024])labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) labels labels batch tensor after cp: torch.Size([1, 1024]) torch.Size([1, 1024])attention_maskbatch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024])batch tensor: tokensloss_maskbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) attention_mask torch.Size([1, 1024])batch tensor: batch tensor:torch.Size([1, 1, 1024, 1024])batch tensor:labels attention_mask batch tensor:attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) position_idstorch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: torch.Size([1, 1024])loss_mask batch tensor: position_idstorch.Size([1, 1024])batch tensor: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idstokens torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor:tokens torch.Size([1, 1024]) attention_mask batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:loss_maskbatch tensor after cp: position_ids loss_mask torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: position_ids batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokensbatch tensor: tokenstorch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: position_ids position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024]) labelsbatch tensor:batch tensor: torch.Size([1, 1024])loss_mask batch tensor:torch.Size([1, 1024])tokens batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor after cp: attention_masktokens batch tensor after cp:batch tensor after cp:torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:labels loss_mask torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask attention_masktorch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:loss_mask torch.Size([1, 1024]) attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor:batch tensor: labelsattention_maskbatch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1024]) batch tensor: loss_mask batch tensor after cp: position_idstokenstorch.Size([1, 1024]) tokensbatch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:tokenstokensbatch tensor: torch.Size([1, 128])labelstorch.Size([1, 128]) position_ids batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: tokensloss_mask torch.Size([1, 1024]) batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128])batch tensor after cp: torch.Size([1, 1024])batch tensor:torch.Size([1, 128]) attention_maskbatch tensor after cp: labelstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 128])batch tensor: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels torch.Size([1, 128])labels torch.Size([1, 128])batch tensor after cp:torch.Size([1, 1024])labels labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:attention_mask position_ids torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor:batch tensor: labelsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:position_ids loss_masktorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128])torch.Size([1, 128]) tokens batch tensor after cp: loss_masktorch.Size([1, 128])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) loss_maskbatch tensor after cp: torch.Size([1, 128])position_ids batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024])batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 128])attention_mask batch tensor after cp: batch tensor:torch.Size([1, 1, 128, 1024]) attention_mask labels batch tensor after cp:torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024])position_ids batch tensor after cp:torch.Size([1, 128])batch tensor: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_idsbatch tensor: torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: batch tensor after cp:loss_mask torch.Size([1, 1024])tokens batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor after cp: labels tokenstorch.Size([1, 1024]) torch.Size([1, 128])batch tensor:batch tensor after cp: batch tensor after cp: labels torch.Size([1, 128]) tokens torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 1024, 1024])labels batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor after cp: loss_mask batch tensor after cp:labelstorch.Size([1, 1024])torch.Size([1, 128]) torch.Size([1, 128])batch tensor:batch tensor after cp:tokens batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor: position_idsbatch tensor after cp: torch.Size([1, 1024])loss_mask batch tensor after cp: tokens torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labelsattention_mask loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:batch tensor after cp: torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 1, 1024, 1024])batch tensor after cp:batch tensor after cp: tokensbatch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels tokenstorch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) loss_maskbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp:position_idsbatch tensor after cp: tokens torch.Size([1, 128]) attention_mask batch tensor:torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: tokenslabelsbatch tensor after cp: torch.Size([1, 128])position_ids batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 1024])loss_mask torch.Size([1, 128]) batch tensor:batch tensor after cp: labelsattention_mask torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor after cp:loss_mask position_idstorch.Size([1, 1024]) batch tensor after cp: torch.Size([1, 128]) labelsbatch tensor after cp: loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])attention_mask batch tensor after cp: tokens labels batch tensor:torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:batch tensor after cp: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor: labelsposition_ids torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: attention_maskbatch tensor after cp: position_idstorch.Size([1, 1, 128, 1024]) attention_mask attention_masktorch.Size([1, 128])position_ids batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024]) labels torch.Size([1, 1, 128, 1024])batch tensor after cp:batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_maskbatch tensor after cp:labels torch.Size([1, 128])position_ids batch tensor after cp:batch tensor after cp: attention_maskbatch tensor after cp: tokens torch.Size([1, 1, 128, 1024]) tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor: tokens torch.Size([1, 128])tokens batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp: batch tensor after cp:attention_mask tokenstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) attention_maskbatch tensor after cp: torch.Size([1, 128])torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:batch tensor after cp: torch.Size([1, 128]) attention_mask position_ids batch tensor after cp: labels torch.Size([1, 128])labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:loss_mask torch.Size([1, 128])labels batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp: torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) attention_mask batch tensor after cp: position_idstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) attention_maskbatch tensor after cp:batch tensor: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024])batch tensor after cp: attention_mask batch tensor:tokenstorch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 1024]) torch.Size([1, 128])torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:loss_mask position_idstorch.Size([1, 1024])torch.Size([1, 1024])batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 128])tokens batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) labels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor: labelsloss_mask torch.Size([1, 128])batch tensor after cp:torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_masktokens torch.Size([1, 128])torch.Size([1, 128]) Start exporting trace 4 batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokensloss_maskbatch tensor: torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_masklabels torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 128]) Done exporting trace 4 batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) attention_maskbatch tensor after cp:batch tensor after cp: torch.Size([1, 1, 1024, 1024])labelsattention_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) position_idsbatch tensor after cp: loss_mask torch.Size([1, 1024]) position_ids torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor: tokens tokenstorch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: batch tensor:loss_mask labels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor after cp: loss_maskattention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor after cp: attention_maskposition_ids torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) [2025-06-21 22:47:56] iteration 5/ 10 | consumed samples: 5 | elapsed time per iteration (ms): 44.4 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 268435456.0 | number of skipped iterations: 1 | number of nan iterations: 0 | batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels batch tensor:batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) labelsbatch tensor:batch tensor: tokenstorch.Size([1, 1024])loss_mask torch.Size([1, 1024])torch.Size([1, 1024])batch tensor:tokens batch tensor:loss_mask batch tensor:torch.Size([1, 1024])attention_mask batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024]) tokensbatch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor: batch tensor: labelsloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor:loss_maskbatch tensor:batch tensor: batch tensor: torch.Size([1, 1024])position_idstokenstokens torch.Size([1, 1024])tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) labelstorch.Size([1, 1024])batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:labels loss_masktorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor:batch tensor: batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024])attention_maskbatch tensor:batch tensor: torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: batch tensor: loss_masktokensattention_mask tokenstorch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: torch.Size([1, 1024]) batch tensor: batch tensor:tokensattention_maskbatch tensor: position_ids labels torch.Size([1, 1, 1024, 1024])labels torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: labelsloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: attention_maskbatch tensor: position_idstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:labels labelsbatch tensor: tokenslabels position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:batch tensor: batch tensor:batch tensor: batch tensor: loss_mask loss_mask loss_mask torch.Size([1, 1024])tokens labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor:attention_maskbatch tensor:torch.Size([1, 1024]) attention_maskattention_maskbatch tensor:batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) labelsposition_idsbatch tensor: loss_masktorch.Size([1, 1024])torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor:position_ids batch tensor:loss_masktorch.Size([1, 1024])loss_mask labelstorch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: batch tensor after cp:torch.Size([1, 1, 1024, 1024])loss_masktorch.Size([1, 1, 1024, 1024])position_ids labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1024]) batch tensor: loss_mask attention_masktorch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) attention_maskbatch tensor:attention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024])loss_mask batch tensor:batch tensor:torch.Size([1, 1024]) batch tensor: labelsbatch tensor: torch.Size([1, 1024]) batch tensor: tokensloss_mask torch.Size([1, 1024]) tokensbatch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) position_idsposition_ids torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:attention_mask torch.Size([1, 1024]) position_idstorch.Size([1, 1, 1024, 1024]) position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1024]) batch tensor:loss_maskbatch tensor after cp:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) attention_maskbatch tensor: tokensposition_ids torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: torch.Size([1, 1024])position_ids batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128])batch tensor after cp: batch tensor after cp:tokens labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: position_idslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) position_ids torch.Size([1, 1024])labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor after cp:batch tensor after cp:batch tensor after cp: loss_mask tokenslabels tokens torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 128])batch tensor: batch tensor after cp: attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:torch.Size([1, 1024])batch tensor after cp: attention_mask batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokens batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokens batch tensor after cp:attention_mask loss_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) tokensbatch tensor after cp: position_idstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) labelsloss_mask torch.Size([1, 1, 128, 1024])batch tensor:torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: batch tensor:labels attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])position_ids batch tensor:torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor after cp: position_idsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask batch tensor:torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokensposition_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) tokens batch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:labelsbatch tensor after cp:batch tensor after cp: batch tensor after cp:torch.Size([1, 1024]) position_idsloss_mask batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor after cp: torch.Size([1, 1024])tokens labels batch tensor after cp: torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) attention_mask torch.Size([1, 128])tokens batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: batch tensor:attention_mask loss_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:torch.Size([1, 128]) attention_maskbatch tensor after cp: labelstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_ids batch tensor after cp:torch.Size([1, 128]) position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor:position_ids attention_masktorch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor after cp: batch tensor after cp:position_idsloss_mask torch.Size([1, 128])tokens torch.Size([1, 1024])batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask batch tensor after cp:torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128])batch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) position_idsbatch tensor after cp: torch.Size([1, 128])loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) tokenstorch.Size([1, 128])batch tensor: attention_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor after cp: position_idstorch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor after cp: batch tensor after cp: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128])batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask batch tensor after cp:batch tensor after cp: torch.Size([1, 1, 128, 1024]) tokens batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor:labels labelsposition_ids torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: torch.Size([1, 1024])batch tensor after cp: batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_masktokensbatch tensor after cp: batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp:tokens batch tensor:batch tensor after cp:batch tensor after cp: labels tokens tokens torch.Size([1, 128])batch tensor after cp: batch tensor after cp:torch.Size([1, 128]) tokens loss_mask batch tensor after cp:torch.Size([1, 1024])torch.Size([1, 128])torch.Size([1, 128]) tokens batch tensor after cp: torch.Size([1, 128])position_idstorch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor: tokensposition_ids torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) loss_mask loss_mask torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask attention_masktorch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) tokens batch tensor after cp:labelstorch.Size([1, 128])torch.Size([1, 128]) position_idstorch.Size([1, 128]) labelsbatch tensor after cp:batch tensor: torch.Size([1, 128])labelsbatch tensor after cp: torch.Size([1, 1024])labels batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor after cp:torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labelslabelstokens torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:batch tensor after cp: batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokensposition_ids torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: attention_maskbatch tensor: torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp: torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: labels labels loss_mask torch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: batch tensor after cp:loss_maskloss_mask attention_masktorch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp:batch tensor after cp: attention_maskbatch tensor after cp:attention_mask position_idstorch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) attention_mask batch tensor after cp:torch.Size([1, 128])batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: batch tensor after cp:loss_maskloss_mask labelstorch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) tokensbatch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp:batch tensor after cp: position_idsposition_idsbatch tensor after cp: torch.Size([1, 128])torch.Size([1, 128])tokensbatch tensor after cp: tokens torch.Size([1, 1, 1024, 1024])loss_maskloss_mask torch.Size([1, 128])batch tensor after cp: tokensbatch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp:attention_maskbatch tensor after cp: attention_maskloss_masktorch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) tokenstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: labelsbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) batch tensor:position_ids batch tensor after cp:position_idstorch.Size([1, 128]) torch.Size([1, 128])attention_mask labelstorch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])torch.Size([1, 128])batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: labelstokens torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) loss_maskbatch tensor after cp: torch.Size([1, 128])loss_maskbatch tensor: batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) labels attention_mask batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp:loss_mask batch tensor after cp: batch tensor after cp:torch.Size([1, 128])position_idsloss_mask batch tensor after cp:batch tensor after cp:position_ids position_ids attention_mask torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) tokensbatch tensor after cp:attention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1024])attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])position_idsbatch tensor: labelstorch.Size([1, 128])batch tensor after cp: torch.Size([1, 128])position_idsbatch tensor after cp: torch.Size([1, 128]) batch tensor after cp:attention_mask torch.Size([1, 128]) attention_mask batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: attention_masklabels torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_idstorch.Size([1, 1024]) torch.Size([1, 128])batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024]) batch tensor:tokens attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_idsloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: tokenslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_mask labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:attention_mask loss_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) tokensbatch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) labels batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp: torch.Size([1, 128])attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) Start exporting trace 5 batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) Done exporting trace 5 batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelstokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) loss_maskbatch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128])batch tensor after cp: batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:attention_mask loss_masktorch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idsattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:batch tensor: position_idstokens position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelslabelsbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024])tokens batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) [2025-06-21 22:47:56] iteration 6/ 10 | consumed samples: 6 | elapsed time per iteration (ms): 46.7 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 134217728.0 | number of skipped iterations: 1 | number of nan iterations: 0 | batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: batch tensor:labels torch.Size([1, 1024]) batch tensor:tokens loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_maskbatch tensor:batch tensor: attention_masklabelstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024])batch tensor: batch tensor:batch tensor:position_ids loss_maskposition_ids torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: labelsattention_mask tokensbatch tensor:torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: tokens loss_mask position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: torch.Size([1, 1024])attention_masklabels batch tensor:torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) labelsbatch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids torch.Size([1, 1024])labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:labelstokensbatch tensor: loss_masktorch.Size([1, 1024]) position_ids torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:batch tensor:torch.Size([1, 1024]) loss_maskattention_maskbatch tensor: torch.Size([1, 1024])labels torch.Size([1, 1, 1024, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor: attention_mask batch tensor: position_ids torch.Size([1, 1, 1024, 1024])loss_masktorch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor after cp: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: batch tensor:position_ids attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: tokensposition_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:tokens loss_mask torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor: batch tensor after cp:attention_mask labels torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor:batch tensor after cp: position_idsloss_mask torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:batch tensor after cp: attention_mask tokenstorch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labelsbatch tensor: torch.Size([1, 1024]) batch tensor:tokens loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens batch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp:torch.Size([1, 128]) labels batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: attention_masklabels torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor after cp:batch tensor after cp:batch tensor after cp: tokenstorch.Size([1, 1024])tokens tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:labels position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) tokens torch.Size([1, 128]) batch tensor:torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) loss_mask batch tensor after cp: torch.Size([1, 128])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])position_ids batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:labelslabels batch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask tokenstorch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp: batch tensor: batch tensor after cp:attention_mask tokens torch.Size([1, 1, 1024, 1024]) torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: batch tensor after cp:attention_mask tokens torch.Size([1, 1, 1024, 1024]) torch.Size([1, 128])batch tensor: position_idsbatch tensor after cp: torch.Size([1, 1024])labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp: position_ids torch.Size([1, 128])batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 128])labelsbatch tensor: batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:tokens tokensbatch tensor after cp:position_idstorch.Size([1, 128]) batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 128])labelsbatch tensor after cp: batch tensor: batch tensor after cp:position_ids labelstorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask loss_masktorch.Size([1, 128]) loss_mask torch.Size([1, 1024]) tokens torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp: batch tensor after cp:labels labelsbatch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128])labelstorch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:torch.Size([1, 128])batch tensor after cp: batch tensor after cp:attention_mask batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_masktokens loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids batch tensor after cp: loss_masktorch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:tokensbatch tensor: tokens torch.Size([1, 128]) tokens batch tensor after cp: attention_mask batch tensor after cp:attention_maskloss_mask torch.Size([1, 1, 1024, 1024])position_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128])batch tensor: torch.Size([1, 128])batch tensor after cp:position_idsbatch tensor after cp: position_idstorch.Size([1, 1024]) attention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 128])batch tensor after cp: labelstorch.Size([1, 1024])batch tensor after cp: torch.Size([1, 128])labelsbatch tensor: torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 128]) attention_mask batch tensor after cp:batch tensor after cp: torch.Size([1, 1, 128, 1024]) loss_maskbatch tensor after cp: batch tensor: batch tensor after cp:attention_mask tokens torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) attention_maskposition_idsbatch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])position_idstorch.Size([1, 128]) batch tensor after cp: torch.Size([1, 128])batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp: torch.Size([1, 1024]) loss_maskloss_mask batch tensor after cp: loss_mask torch.Size([1, 128]) attention_maskposition_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor:batch tensor after cp:batch tensor after cp: labels position_idstorch.Size([1, 128])tokens batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor: tokenslabels torch.Size([1, 1024])torch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128])batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 1024]) torch.Size([1, 128]) loss_mask batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor after cp: loss_masklabels torch.Size([1, 1024])torch.Size([1, 128]) batch tensor:loss_maskbatch tensor after cp:batch tensor after cp: attention_masktorch.Size([1, 1024])attention_mask tokens batch tensor:torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor: tokens batch tensor after cp: tokens torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 128]) labels batch tensor after cp: torch.Size([1, 128])attention_mask batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor: loss_maskattention_mask torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 1024])attention_maskbatch tensor after cp: batch tensor after cp: labelsbatch tensor: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:batch tensor: tokens torch.Size([1, 1, 128, 1024])loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 1, 1024, 1024])batch tensor after cp: position_idsbatch tensor:torch.Size([1, 1, 1024, 1024])position_ids torch.Size([1, 128])labelsbatch tensor:torch.Size([1, 128]) loss_maskbatch tensor after cp: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])batch tensor: batch tensor after cp:attention_mask position_ids torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp:batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_maskbatch tensor: torch.Size([1, 1, 128, 1024])position_ids batch tensor after cp:torch.Size([1, 1024]) position_idstorch.Size([1, 1024]) batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_idsbatch tensor after cp:labels torch.Size([1, 1024])torch.Size([1, 128])attention_mask batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) position_ids batch tensor after cp: torch.Size([1, 128])tokens torch.Size([1, 128]) torch.Size([1, 1024])batch tensor: tokensloss_mask torch.Size([1, 1024])torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:torch.Size([1, 1, 128, 1024]) loss_maskbatch tensor after cp: torch.Size([1, 1024])position_idsbatch tensor after cp: batch tensor:torch.Size([1, 128])tokens batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:batch tensor after cp: attention_masklabels torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) attention_mask torch.Size([1, 128]) torch.Size([1, 1, 1024, 1024]) batch tensor after cp: batch tensor:labels position_idstorch.Size([1, 128]) torch.Size([1, 1024])batch tensor after cp: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor: loss_maskposition_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor: tokens torch.Size([1, 128])tokens batch tensor after cp: labels torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor:batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:labels attention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024])batch tensor after cp: batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor: batch tensor:tokens labels torch.Size([1, 1024]) tokensbatch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024])batch tensor: torch.Size([1, 1024])batch tensor:labels batch tensor:batch tensor: batch tensor: attention_mask labelstokenstorch.Size([1, 1024]) tokens batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: torch.Size([1, 1024]) batch tensor:loss_masktorch.Size([1, 1024]) batch tensor:batch tensor: torch.Size([1, 1024])labels batch tensor:batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: batch tensor:position_ids loss_masklabelstorch.Size([1, 1024]) attention_mask torch.Size([1, 1024])batch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) loss_masktorch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: batch tensor:attention_masktorch.Size([1, 1024]) loss_mask torch.Size([1, 1, 1024, 1024])position_idsbatch tensor: torch.Size([1, 1024])batch tensor: attention_mask tokensbatch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024])batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 1024, 1024])position_ids batch tensor: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) attention_maskbatch tensor:torch.Size([1, 1024]) tokenstorch.Size([1, 1, 1024, 1024])position_ids torch.Size([1, 1024])batch tensor: position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) Start exporting trace 6 batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) tokens batch tensor: labels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])labels Done exporting trace 6 batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor: batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024])batch tensor: batch tensor:batch tensor:labels attention_mask torch.Size([1, 1024]) tokens torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:loss_masktorch.Size([1, 1024]) position_idstorch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor:labels attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])position_ids batch tensor:torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1024]) attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])loss_mask torch.Size([1, 1024])batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_ids torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) labels batch tensor: torch.Size([1, 1024])attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) [2025-06-21 22:47:56] iteration 7/ 10 | consumed samples: 7 | elapsed time per iteration (ms): 46.8 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 67108864.0 | number of skipped iterations: 1 | number of nan iterations: 0 | attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:batch tensor: tokenslabels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) position_ids batch tensor:torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: position_idstokens torch.Size([1, 1024]) batch tensor after cp:batch tensor: labelsloss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor: batch tensor: loss_mask tokenstorch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: position_idsbatch tensor: torch.Size([1, 1024])labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor:batch tensor after cp: attention_maskloss_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor:batch tensor after cp: position_idsattention_mask torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids batch tensor after cp:torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor:torch.Size([1, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:tokens loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) position_idsbatch tensor: torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask tokens torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 1024])batch tensor: attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])labels batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) tokensloss_maskbatch tensor: batch tensor:torch.Size([1, 1024]) torch.Size([1, 1024]) tokens tokensbatch tensor: batch tensor: attention_masklabelstorch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: batch tensor:labelsbatch tensor: position_ids labelsloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) labels torch.Size([1, 128]) batch tensor: tokensbatch tensor after cp: tokens torch.Size([1, 128]) position_idsbatch tensor: torch.Size([1, 1024])loss_mask batch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 1024])batch tensor:batch tensor: batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 1024])torch.Size([1, 128]) torch.Size([1, 1024])batch tensor: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:loss_maskattention_mask loss_masktorch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128])batch tensor after cp: batch tensor after cp:tokenstokens labelstorch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor: loss_mask labels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor:tokens attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor after cp: attention_mask tokenstorch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) batch tensor: attention_maskbatch tensor:position_ids attention_masktorch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: position_idsbatch tensor: torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labels labelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_maskbatch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor:batch tensor after cp: attention_maskloss_masktokens torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp: loss_masktorch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128])batch tensor after cp: batch tensor:batch tensor after cp:position_ids attention_mask batch tensor after cp:labels torch.Size([1, 128]) torch.Size([1, 1, 1024, 1024]) torch.Size([1, 128])tokens batch tensor:batch tensor after cp:torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:attention_mask torch.Size([1, 128]) labels batch tensor after cp: batch tensor:labels batch tensor after cp:torch.Size([1, 128]) tokenstokensbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:batch tensor after cp: tokensloss_masktokens torch.Size([1, 128])torch.Size([1, 128]) position_idsloss_maskbatch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1024])labelsbatch tensor after cp: torch.Size([1, 128])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) position_idstorch.Size([1, 1, 128, 1024]) batch tensor after cp: torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:torch.Size([1, 1024])torch.Size([1, 128]) labels batch tensor:batch tensor after cp:torch.Size([1, 128])batch tensor: torch.Size([1, 128])batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: position_idsbatch tensor:tokens torch.Size([1, 1024])tokenstorch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) labelsattention_mask batch tensor after cp: tokenstorch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) loss_mask torch.Size([1, 128])batch tensor: batch tensor after cp:batch tensor after cp: batch tensor after cp: labelstokens attention_masklabels torch.Size([1, 128])torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labelstorch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_maskposition_idsbatch tensor after cp: torch.Size([1, 1, 128, 1024])loss_masktorch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 1024])batch tensor after cp:loss_mask attention_masktorch.Size([1, 1024])position_ids batch tensor after cp: batch tensor after cp:batch tensor after cp: loss_mask labelsposition_idsloss_mask torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp: batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) position_ids batch tensor after cp:batch tensor after cp:torch.Size([1, 128]) attention_masktokens torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor:batch tensor: torch.Size([1, 128]) batch tensor after cp:labels torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:attention_mask loss_maskattention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: labelsloss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_idsbatch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128]) attention_mask tokenstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) batch tensor: torch.Size([1, 128]) position_ids torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: batch tensor after cp: position_ids attention_mask position_ids torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])attention_mask batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor after cp:torch.Size([1, 1024])loss_mask batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: torch.Size([1, 1024])labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024])position_ids batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: labelsbatch tensor: torch.Size([1, 1024])labels batch tensor:torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])loss_mask batch tensor: tokens torch.Size([1, 1024]) tokensbatch tensor: batch tensor after cp: loss_maskattention_mask torch.Size([1, 128])torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:torch.Size([1, 1024]) attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])attention_mask batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:attention_maskbatch tensor: torch.Size([1, 1, 128, 1024])labelsposition_ids torch.Size([1, 1024])batch tensor after cp:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: loss_maskloss_mask torch.Size([1, 128]) torch.Size([1, 128]) position_ids batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: tokenslabels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:batch tensor after cp: tokens torch.Size([1, 128])batch tensor after cp: tokens torch.Size([1, 128]) attention_maskbatch tensor after cp: torch.Size([1, 1, 128, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) attention_mask batch tensor after cp: position_idstorch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128])batch tensor after cp: labels labelsposition_idstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:position_ids torch.Size([1, 128]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:attention_mask batch tensor:labelstorch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 1024])tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: loss_maskposition_ids torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) position_idsbatch tensor: torch.Size([1, 1024])loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask tokenstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor:batch tensor: labels attention_masktorch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) position_idsbatch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:batch tensor after cp:torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensloss_masktokens batch tensor: batch tensor:torch.Size([1, 128]) torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labelsbatch tensor: torch.Size([1, 1024])labels batch tensor:torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024])batch tensor: attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024])attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) position_ids batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024])batch tensor: attention_maskbatch tensor: attention_masktorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor:position_ids position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp:batch tensor:tokenstorch.Size([1, 1024])batch tensor: labels attention_masktorch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor after cp:batch tensor after cp: loss_masktokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor:batch tensor: position_idsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor after cp: tokensbatch tensor after cp:tokens tokens torch.Size([1, 128])torch.Size([1, 1024])torch.Size([1, 128]) tokens batch tensor: labels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])labels torch.Size([1, 1024])batch tensor: batch tensor:attention_mask loss_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: position_idsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024])batch tensor: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:attention_maskbatch tensor after cp: labels torch.Size([1, 1, 128, 1024]) tokenstorch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labelsbatch tensor: torch.Size([1, 1024]) batch tensor:tokens loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: batch tensor:labels batch tensor after cp:labels torch.Size([1, 128])labelstorch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask loss_mask tokenstorch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor after cp: torch.Size([1, 1024])position_idsloss_mask batch tensor:torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:batch tensor: loss_maskbatch tensor after cp:loss_mask torch.Size([1, 128])loss_masktorch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp:batch tensor: batch tensor:batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])tokens torch.Size([1, 1024]) batch tensor: batch tensor:attention_mask torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: batch tensor:labelsposition_ids position_idstorch.Size([1, 1024])torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 1024]) labelsbatch tensor: batch tensor: torch.Size([1, 1024])position_ids tokens batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) torch.Size([1, 128])batch tensor:torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 1024])attention_mask labelsbatch tensor: torch.Size([1, 1024])position_ids batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:attention_maskattention_mask torch.Size([1, 1, 128, 1024])attention_masktorch.Size([1, 1, 1024, 1024]) batch tensor after cp: batch tensor: position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024])batch tensor: tokensloss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_maskbatch tensor: labelstorch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) Start exporting trace 7 batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: labelsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens attention_maskbatch tensor:torch.Size([1, 1, 1024, 1024])batch tensor: loss_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])loss_masktorch.Size([1, 1024]) batch tensor: batch tensor after cp: torch.Size([1, 1024])batch tensor: loss_maskbatch tensor after cp: torch.Size([1, 1024])position_ids torch.Size([1, 128])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor after cp: batch tensor after cp:loss_masktokens batch tensor:tokens torch.Size([1, 1024]) torch.Size([1, 128]) torch.Size([1, 128])tokens Done exporting trace 7 batch tensor: tokensposition_idsbatch tensor after cp:position_ids tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 128])batch tensor: position_idstorch.Size([1, 1024])torch.Size([1, 128])loss_mask batch tensor after cp: batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) position_idstorch.Size([1, 1024])batch tensor after cp: position_ids position_idsbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor after cp:batch tensor after cp: torch.Size([1, 1024])attention_mask labelslabels batch tensor:torch.Size([1, 1, 1024, 1024])batch tensor:torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 128])torch.Size([1, 1024])labels torch.Size([1, 128])batch tensor: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024])batch tensor after cp: batch tensor: labels torch.Size([1, 1024]) batch tensor:labels torch.Size([1, 1024])batch tensor:attention_masktorch.Size([1, 128]) torch.Size([1, 128]) attention_masktorch.Size([1, 1, 1024, 1024])batch tensor after cp: batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens labels batch tensor after cp:torch.Size([1, 1024]) batch tensor after cp:position_idstokens torch.Size([1, 1024]) loss_maskbatch tensor:torch.Size([1, 1024]) loss_mask loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:attention_mask loss_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 128]) batch tensor after cp:batch tensor: attention_maskposition_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokensloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1, 1024, 1024]) torch.Size([1, 128]) batch tensor: tokensposition_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_masktokens batch tensor after cp: torch.Size([1, 1024])torch.Size([1, 128])batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: labelsattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_idsbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: loss_maskposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:position_ids torch.Size([1, 1024])attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor: tokensattention_mask torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor: labelsposition_ids torch.Size([1, 128])torch.Size([1, 1024]) tokenslabelsbatch tensor after cp: batch tensor:labelsbatch tensor after cp: attention_maskattention_mask position_ids torch.Size([1, 1024])labels torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp:batch tensor: torch.Size([1, 1, 128, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: batch tensor:loss_maskbatch tensor after cp:loss_mask labelsposition_ids loss_mask torch.Size([1, 128])position_idstorch.Size([1, 128])torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: position_idsposition_idstokens torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 1024])batch tensor after cp:torch.Size([1, 128])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) loss_maskattention_mask batch tensor:attention_masktorch.Size([1, 128])torch.Size([1, 1, 128, 1024]) attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_masktokens torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:torch.Size([1, 1, 1024, 1024])attention_maskbatch tensor: position_idsbatch tensor:torch.Size([1, 1, 128, 1024])position_ids torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids torch.Size([1, 128])labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens batch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp: torch.Size([1, 128])labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) [2025-06-21 22:47:56] iteration 8/ 10 | consumed samples: 8 | elapsed time per iteration (ms): 48.4 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 33554432.0 | number of skipped iterations: 1 | number of nan iterations: 0 | position_ids batch tensor after cp:torch.Size([1, 1024]) position_ids torch.Size([1, 128]) batch tensor:batch tensor: attention_mask tokenstorch.Size([1, 1, 1024, 1024])batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens batch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) batch tensor: tokensposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:loss_maskbatch tensor after cp: torch.Size([1, 128])tokensattention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) labelsbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) attention_maskbatch tensor after cp: attention_masktorch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024])batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128])position_ids torch.Size([1, 128]) batch tensor: batch tensor:labels labelstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids batch tensor after cp: labels torch.Size([1, 128]) position_ids batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_masktokens torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:loss_mask torch.Size([1, 1024])loss_mask batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp:batch tensor: tokenslabels torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp:batch tensor: labelsloss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128])batch tensor after cp: batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])position_ids batch tensor:torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor after cp: loss_mask batch tensor: torch.Size([1, 128])attention_mask batch tensor after cp: torch.Size([1, 1, 1024, 1024])attention_mask batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:tokens loss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelsattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])batch tensor: position_idsbatch tensor after cp: position_idstorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:loss_mask position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_masktokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128])tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: attention_maskbatch tensor after cp: labelstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) tokensbatch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: labelsbatch tensor after cp: torch.Size([1, 128])position_ids batch tensor after cp:torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_idsbatch tensor: torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024])batch tensor: batch tensor after cp: position_ids tokenstorch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: position_idstokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor:batch tensor: loss_masktokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: labelsbatch tensor: torch.Size([1, 1024])position_ids batch tensor after cp: tokens batch tensor:torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: tokensattention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_maskbatch tensor: torch.Size([1, 128]) batch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask tokens batch tensor after cp: tokenstorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024])batch tensor after cp: position_ids batch tensor:torch.Size([1, 128]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024])torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:tokens position_ids torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:labelsbatch tensor after cp: torch.Size([1, 128])loss_maskposition_ids batch tensor after cp:torch.Size([1, 1024]) torch.Size([1, 128])loss_mask batch tensor: torch.Size([1, 128])attention_mask batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor: torch.Size([1, 1, 128, 1024])position_ids batch tensor after cp:torch.Size([1, 1024])batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) position_idstokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor:batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024])batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids position_idstorch.Size([1, 128]) torch.Size([1, 128]) labels torch.Size([1, 1024])batch tensor: batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) position_idsbatch tensor: loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])tokens batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor after cp: tokenstokens torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 128])position_ids batch tensor after cp:torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor: batch tensor after cp:attention_mask tokenstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 128])batch tensor: batch tensor after cp:position_ids labelstorch.Size([1, 1024]) torch.Size([1, 128]) torch.Size([1, 1024])batch tensor after cp: labels torch.Size([1, 128])batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:labels loss_mask torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor after cp: loss_maskattention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor: position_idsattention_mask torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) Start exporting trace 8 batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp:tokens position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) Done exporting trace 8 batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: position_idstokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids batch tensor after cp: torch.Size([1, 128])tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) [2025-06-21 22:47:56] iteration 9/ 10 | consumed samples: 9 | elapsed time per iteration (ms): 48.2 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 16777216.0 | number of skipped iterations: 1 | number of nan iterations: 0 | batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024]) labels batch tensor:torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) position_ids batch tensor:torch.Size([1, 1024]) position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor: batch tensor:loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: attention_masklabels torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: batch tensor:labels torch.Size([1, 1024]) batch tensor:tokens loss_mask torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels batch tensor:torch.Size([1, 1024]) batch tensor: loss_maskbatch tensor: torch.Size([1, 1024]) batch tensor:tokens attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokensbatch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: batch tensor:tokenslabels attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024])position_ids torch.Size([1, 1024])batch tensor: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:labels position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_mask torch.Size([1, 1024]) tokens batch tensor:batch tensor: attention_mask torch.Size([1, 1024])tokenstorch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: labelsposition_ids torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens loss_maskbatch tensor: batch tensor after cp:torch.Size([1, 1024]) torch.Size([1, 1024])tokens batch tensor: torch.Size([1, 1024])batch tensor: batch tensor: labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: loss_masklabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: attention_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:attention_mask labelstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: position_idsbatch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: loss_masklabels torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: attention_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: attention_maskposition_ids torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: batch tensor:tokenstokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) tokens batch tensor: torch.Size([1, 128])attention_mask batch tensor after cp:labelstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) labelsbatch tensor:batch tensor:batch tensor: position_ids batch tensor: torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels batch tensor after cp:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor:torch.Size([1, 1024])batch tensor: labels labelstorch.Size([1, 1024])batch tensor: batch tensor: position_idslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) tokensbatch tensor: loss_mask torch.Size([1, 128])batch tensor:torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])labels batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: labels batch tensor: loss_mask torch.Size([1, 1024])loss_mask batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) tokensbatch tensor: batch tensor after cp:attention_mask torch.Size([1, 1024])labelstorch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) position_idsbatch tensor after cp: torch.Size([1, 128])loss_mask torch.Size([1, 128]) torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) torch.Size([1, 128])tokens batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor:torch.Size([1, 128]) batch tensor:batch tensor after cp: labelsbatch tensor after cp: torch.Size([1, 1024])loss_mask batch tensor:torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor:batch tensor: batch tensor:tokens tokenslabels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: torch.Size([1, 1024])loss_maskbatch tensor: batch tensor:labelstorch.Size([1, 1024]) labelstorch.Size([1, 1024]) batch tensor: torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) loss_maskbatch tensor:batch tensor: torch.Size([1, 1024])attention_maskattention_mask batch tensor:torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp:tokens position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: attention_mask position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor:attention_mask loss_mask loss_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp:batch tensor: batch tensor:batch tensor:tokens position_idsattention_mask torch.Size([1, 128])attention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024])batch tensor after cp:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) attention_maskbatch tensor: batch tensor: torch.Size([1, 1, 1024, 1024])position_idsposition_ids torch.Size([1, 1024])batch tensor:torch.Size([1, 1024])batch tensor: torch.Size([1, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) tokenstorch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) labelsbatch tensor: batch tensor:torch.Size([1, 128]) position_idsposition_idsbatch tensor after cp: torch.Size([1, 1024])loss_masktorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) position_idstokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp:attention_mask tokensposition_ids batch tensor: torch.Size([1, 1, 1024, 1024]) loss_masktorch.Size([1, 1024]) labelstorch.Size([1, 1024]) batch tensor: torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids position_idstorch.Size([1, 128]) torch.Size([1, 128]) loss_mask batch tensor after cp: torch.Size([1, 128])position_idstorch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024]) position_idsbatch tensor:batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) labelsbatch tensor: torch.Size([1, 128])attention_mask batch tensor after cp: torch.Size([1, 1, 1024, 1024])loss_mask tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: torch.Size([1, 1024]) batch tensor:labels attention_masktokens batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:torch.Size([1, 128]) position_idsbatch tensor after cp: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) torch.Size([1, 1024]) loss_masktorch.Size([1, 1, 128, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor after cp: torch.Size([1, 1024])loss_mask batch tensor after cp: labels torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor:labelsposition_idstorch.Size([1, 1024]) attention_mask torch.Size([1, 1024]) batch tensor:torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:tokens loss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:position_ids torch.Size([1, 128])tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) attention_maskloss_mask batch tensor: torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) position_ids batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels attention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp:loss_mask position_idstorch.Size([1, 128]) batch tensor after cp: tokensbatch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp:torch.Size([1, 128]) tokens batch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128])batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: batch tensor: torch.Size([1, 1024])position_idsattention_mask batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: attention_mask tokens torch.Size([1, 1, 128, 1024]) labelsbatch tensor after cp: labels torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:batch tensor after cp: labelsbatch tensor after cp: loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: position_idsbatch tensor after cp: torch.Size([1, 128])labels tokensloss_maskbatch tensor after cp: torch.Size([1, 128])loss_mask torch.Size([1, 128]) batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: attention_maskbatch tensor after cp: position_idstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) labels batch tensor after cp:attention_masktorch.Size([1, 128]) attention_masktorch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: labels tokenstorch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) loss_maskbatch tensor after cp:torch.Size([1, 1, 128, 1024]) position_ids batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: attention_mask tokens torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_idslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) position_ids batch tensor: torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: batch tensor:batch tensor after cp: position_idsposition_idsbatch tensor after cp:tokens tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) tokensbatch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1024]) batch tensor after cp: position_idsbatch tensor: torch.Size([1, 128])labels torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: labelstorch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: torch.Size([1, 128]) tokens torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:torch.Size([1, 128]) position_ids batch tensor after cp: labels torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024])tokens labelsbatch tensor after cp: torch.Size([1, 128])position_idstorch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids batch tensor after cp:torch.Size([1, 128]) tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: labelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) tokensbatch tensor after cp: position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask attention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024])batch tensor after cp: tokensbatch tensor after cp: attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: labelsbatch tensor after cp: torch.Size([1, 128])position_ids batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask position_idstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:tokens tokens torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: labelsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_masklabels torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelstokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) position_idsbatch tensor after cp: torch.Size([1, 128])loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) labelsbatch tensor after cp: torch.Size([1, 128])attention_mask torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:loss_mask position_idstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) Start exporting trace 9 batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) Done exporting trace 9 batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) [2025-06-21 22:47:56] iteration 10/ 10 | consumed samples: 10 | elapsed time per iteration (ms): 45.1 | learning rate: 0.000000E+00 | global batch size: 1 | loss scale: 8388608.0 | number of skipped iterations: 1 | number of nan iterations: 0 | [after training is done] datetime: 2025-06-21 22:47:56 saving checkpoint at iteration 10 to /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs in torch_dist format DEBUG:megatron.training.checkpointing:rank: 58, takes 0.025516033172607422 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 59, takes 0.025518417358398438 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 54, takes 0.024918794631958008 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 50, takes 0.024936437606811523 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 53, takes 0.02495098114013672 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 51, takes 0.024992942810058594 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 49, takes 0.025046110153198242 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 55, takes 0.025059938430786133 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 7, takes 0.026278257369995117 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 10, takes 0.02579808235168457 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 11, takes 0.025800704956054688 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 13, takes 0.02580118179321289 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 12, takes 0.02579331398010254 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 15, takes 0.025834321975708008 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 9, takes 0.02586674690246582 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 14, takes 0.025865793228149414 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 63, takes 0.02554798126220703 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 52, takes 0.025120973587036133 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 1, takes 0.026347875595092773 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 8, takes 0.026548385620117188 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 20, takes 0.026075363159179688 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 17, takes 0.026148080825805664 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 23, takes 0.02617502212524414 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 21, takes 0.026218891143798828 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 43, takes 0.026347875595092773 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 46, takes 0.02637958526611328 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 62, takes 0.025913476943969727 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 48, takes 0.025991439819335938 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 5, takes 0.02640080451965332 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 4, takes 0.026404142379760742 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 33, takes 0.02687668800354004 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 38, takes 0.026896238327026367 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 34, takes 0.026918649673461914 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 37, takes 0.026899337768554688 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 36, takes 0.026890993118286133 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 35, takes 0.02693915367126465 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 39, takes 0.026959657669067383 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 25, takes 0.02694845199584961 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 28, takes 0.026942014694213867 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 26, takes 0.02703237533569336 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 27, takes 0.02704000473022461 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 22, takes 0.0262148380279541 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 44, takes 0.026381254196166992 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 45, takes 0.026395320892333984 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 57, takes 0.02595067024230957 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 2, takes 0.026447534561157227 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 32, takes 0.027390718460083008 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 31, takes 0.027100563049316406 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 19, takes 0.026263713836669922 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 47, takes 0.0268402099609375 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 0, takes 0.026881933212280273 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 29, takes 0.027227163314819336 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 16, takes 0.02668619155883789 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 40, takes 0.026966094970703125 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 6, takes 0.027426481246948242 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 30, takes 0.02744126319885254 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 18, takes 0.027679443359375 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 42, takes 0.028261899948120117 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 3, takes 0.03080272674560547 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 24, takes 0.02782607078552246 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 61, takes 0.03051304817199707 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 41, takes 0.03151655197143555 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 56, takes 0.03134751319885254 to prepare state dict for ckpt DEBUG:megatron.training.checkpointing:rank: 60, takes 0.035837411880493164 to prepare state dict for ckpt DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(46137344), 2), (np.int64(46137344), 3), (np.int64(41959936), 4), (np.int64(41959936), 5), (np.int64(44040192), 6), (np.int64(44040192), 7)] DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:Apply save parallelization DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.exchange_utils:distribute_shards_to_ranks distribution: [(np.int64(104857600), 0), (np.int64(52428800), 1), (np.int64(50331648), 2), (np.int64(50331648), 3), (np.int64(46326272), 4), (np.int64(48234496), 5), (np.int64(48234496), 6), (np.int64(46326272), 7)] DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7635493278503418 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.763521432876587 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.763521432876587 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.728452205657959 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.740649938583374 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7398977279663086 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7352874279022217 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.735098123550415 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7352449893951416 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7468488216400146 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7638559341430664 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7299869060516357 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7407596111297607 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7402338981628418 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7358620166778564 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.747694730758667 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7644031047821045 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7644798755645752 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7644505500793457 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7291219234466553 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7405993938446045 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7386143207550049 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7357473373413086 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7573747634887695 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7645611763000488 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7289578914642334 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7305762767791748 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7410588264465332 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7412195205688477 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.740492820739746 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7358806133270264 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.736182451248169 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7487998008728027 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7485003471374512 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 49, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 55, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.73079514503479 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7417032718658447 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.740715503692627 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7361407279968262 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 16, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 23, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7500684261322021 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 48, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7285640239715576 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.741607427597046 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.74102783203125 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 19, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7483224868774414 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 52, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 10, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 12, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7425169944763184 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7408981323242188 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7411596775054932 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 31, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 17, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7493066787719727 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 54, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 50, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 9, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 37, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 28, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 18, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 41, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 53, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 13, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 8, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 34, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 30, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 20, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 40, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 51, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 11, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 33, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 36, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 26, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 22, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 47, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.7318832874298096 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 35, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 24, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 21, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 43, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 44, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 46, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 15, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 39, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 27, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 29, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 42, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 14, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 38, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 25, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 45, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 32, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.9490761756896973 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 7, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0149495601654053 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0149903297424316 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 58, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 63, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0192017555236816 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 59, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0270206928253174 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.9801888465881348 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0281801223754883 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.981388807296753 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 62, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 57, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 1, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 6, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.986431360244751 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 1.98930025100708 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 4, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 2, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0569703578948975 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 60, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0125412940979004 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 0.5531370639801025 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 5, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 0, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.0837345123291016 DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.133500099182129 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 61, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 3, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.fully_parallel:parallel save sharding, time: 2.2072272300720215 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 56, starting state dict save DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:verifying reuse of global metadata DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:loaded global metadata reuse verification: no loaded plans passed DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 56, plan time: 0.00479888916015625 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 7, plan time: 0.21396589279174805 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.412634 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 6, plan time: 0.18282556533813477 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4124117 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.367134094238281e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4124393 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 11, plan time: 0.44617605209350586 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 13, plan time: 0.4463388919830322 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 27, plan time: 0.4468224048614502 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 26, plan time: 0.44710254669189453 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 23, plan time: 0.4477505683898926 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4148645 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.198883056640625e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4129531 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4129484 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 9, plan time: 0.4466514587402344 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 39, plan time: 0.4459872245788574 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4144776 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 38, plan time: 0.446026086807251 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4145615 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 9.34600830078125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 32, plan time: 0.4458611011505127 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4135137 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 31, plan time: 0.4483468532562256 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 16, plan time: 0.44782543182373047 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.031990051269531e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4129906 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 37, plan time: 0.4483628273010254 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 34, plan time: 0.44823288917541504 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.414632 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 29, plan time: 0.4469122886657715 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4135308 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.341934204101562e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 41, plan time: 0.4489896297454834 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.416011 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.748603820800781e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 5, plan time: 0.15132808685302734 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 4, plan time: 0.1766822338104248 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.794929504394531e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.556510925292969e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.00010156631469726562 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4146557 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4146607 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 33, plan time: 0.44769716262817383 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4135542 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4149406 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 43, plan time: 0.4481620788574219 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 42, plan time: 0.4480912685394287 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 44, plan time: 0.4481620788574219 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 48, plan time: 0.45026493072509766 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4125524 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 15, plan time: 0.44603776931762695 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.413459777832031e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 10, plan time: 0.4469599723815918 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.414704 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.413559 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 20, plan time: 0.44674229621887207 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.416229 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4162266 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4162283 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4166026 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.412562 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4130795 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.700920104980469e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.106231689453125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.651878356933594e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4149823 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.510185241699219e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.534027099609375e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.319450378417969e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 63, plan time: 0.20301485061645508 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 60, plan time: 0.16061854362487793 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 58, plan time: 0.20303606986999512 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4168756 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 59, plan time: 0.19882655143737793 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 54, plan time: 0.4494633674621582 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.772445678710938e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.318092346191406e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.0558319091796875e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4130926 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.0001327991485595703 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.987022399902344e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 30, plan time: 0.44762563705444336 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.700920104980469e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.891654968261719e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.273124694824219e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 24, plan time: 0.4472086429595947 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4136403 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.580352783203125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 46, plan time: 0.4483482837677002 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 57, plan time: 0.1898665428161621 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 61, plan time: 0.08455634117126465 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.416893 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.416895 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4167004 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 3, plan time: 0.07985091209411621 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.842613220214844e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 36, plan time: 0.4478495121002197 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4136808 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.557868957519531e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.416417 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4169111 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4169173 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4169278 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 55, plan time: 0.45048975944519043 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4127476 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.273124694824219e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 35, plan time: 0.44765686988830566 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 28, plan time: 0.44812703132629395 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.082389831542969e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 17, plan time: 0.44779109954833984 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 45, plan time: 0.4481806755065918 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 40, plan time: 0.44922685623168945 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.580352783203125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.866455078125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4167798 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 2, plan time: 0.17534875869750977 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 5.030632019042969e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 8, plan time: 0.4467637538909912 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4148824 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.82012939453125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4137468 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 19, plan time: 0.4479525089263916 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4164772 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4164784 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.890296936035156e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.29425048828125e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.842613220214844e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 53, plan time: 0.4495503902435303 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 1, plan time: 0.18439888954162598 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4134183 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4149146 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 25, plan time: 0.44702672958374023 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4151814 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.198883056640625e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.4849853515625e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.341934204101562e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 62, plan time: 0.19110321998596191 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4168243 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.412825 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 12, plan time: 0.447202205657959 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.821487426757812e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.00010251998901367188 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4138439 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.415196 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.581710815429688e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 47, plan time: 0.44858503341674805 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.842613220214844e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.318092346191406e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4128475 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.702278137207031e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4134889 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.00010466575622558594 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.00011181831359863281 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 22, plan time: 0.4461941719055176 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.67572021484375e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 18, plan time: 0.4477224349975586 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.365776062011719e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4165895 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4170146 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.581710815429688e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.413459777832031e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.00013971328735351562 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4152744 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.0001246929168701172 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.891654968261719e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 49, plan time: 0.4506692886352539 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.079673767089844e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 14, plan time: 0.44524145126342773 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4152925 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 52, plan time: 0.45038914680480957 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4169495 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4145758 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 21, plan time: 0.44590139389038086 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 8.320808410644531e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 51, plan time: 0.4497056007385254 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.0002446174621582031 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 9.1552734375e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4153845 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4169748 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 0.00012183189392089844 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.41699 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 5.936622619628906e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.103515625e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 50, plan time: 0.44983386993408203 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 7.128715515136719e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4170704 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 6.771087646484375e-05 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:rank: 0, plan time: 0.16217756271362305 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:thread_count: 2, time: 1750546079.4242332 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:bucket_prep, time: 5.269050598144531e-05 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.044324398040771484 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4615939 rank: 63, write(async) time: 0.04471588134765625 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05060601234436035 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4635804 rank: 4, write(async) time: 0.05101919174194336 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.046646833419799805 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05092597007751465 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4639747 rank: 59, write(async) time: 0.04706215858459473 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4638093 rank: 6, write(async) time: 0.05137133598327637 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.046684980392456055 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05125880241394043 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4641402 rank: 62, write(async) time: 0.04712557792663574 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.464257 rank: 5, write(async) time: 0.05170440673828125 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.04762673377990723 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.464929 rank: 58, write(async) time: 0.048033952713012695 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.048117876052856445 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4654374 rank: 57, write(async) time: 0.048517704010009766 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.04875826835632324 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.466175 rank: 60, write(async) time: 0.04928255081176758 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05290555953979492 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4661598 rank: 2, write(async) time: 0.05333280563354492 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.052486419677734375 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.466653 rank: 28, write(async) time: 0.05290675163269043 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05533933639526367 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4681754 rank: 7, write(async) time: 0.055762290954589844 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05328774452209473 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05413317680358887 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05499839782714844 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.0543980598449707 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.467257 rank: 31, write(async) time: 0.053699493408203125 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.469533 rank: 20, write(async) time: 0.05454874038696289 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4683492 rank: 13, write(async) time: 0.05539393424987793 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4683623 rank: 12, write(async) time: 0.054871559143066406 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05452919006347656 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05592799186706543 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.469792 rank: 23, write(async) time: 0.054924964904785156 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05230522155761719 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4696453 rank: 61, write(async) time: 0.05271601676940918 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4692087 rank: 1, write(async) time: 0.05636119842529297 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.0566556453704834 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.056157827377319336 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4698079 rank: 3, write(async) time: 0.05705833435058594 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4715223 rank: 16, write(async) time: 0.0565798282623291 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05578422546386719 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.0563960075378418 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.054831743240356445 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05828094482421875 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.469762 rank: 26, write(async) time: 0.0562286376953125 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4721324 rank: 18, write(async) time: 0.056839942932128906 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4716713 rank: 46, write(async) time: 0.05525088310241699 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.471335 rank: 56, write(async) time: 0.0587010383605957 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05485224723815918 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.056513071060180664 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05480647087097168 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.055058956146240234 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05812859535217285 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.056041717529296875 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05632305145263672 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.057440996170043945 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4718049 rank: 45, write(async) time: 0.05532574653625488 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4721825 rank: 54, write(async) time: 0.05547952651977539 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4716125 rank: 15, write(async) time: 0.058531761169433594 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4713337 rank: 35, write(async) time: 0.05641913414001465 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4705796 rank: 30, write(async) time: 0.05693769454956055 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05750870704650879 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4718568 rank: 47, write(async) time: 0.0552678108215332 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05873727798461914 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.056639671325683594 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4706519 rank: 25, write(async) time: 0.05680394172668457 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4730167 rank: 17, write(async) time: 0.05783367156982422 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05554842948913574 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05602693557739258 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4722645 rank: 10, write(async) time: 0.059168100357055664 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.471711 rank: 37, write(async) time: 0.057053565979003906 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4731216 rank: 19, write(async) time: 0.0579228401184082 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.472214 rank: 44, write(async) time: 0.05598306655883789 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4732757 rank: 53, write(async) time: 0.05644965171813965 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.056623220443725586 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.056166648864746094 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05862903594970703 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.473283 rank: 42, write(async) time: 0.057054758071899414 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4735765 rank: 49, write(async) time: 0.056624650955200195 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4744747 rank: 21, write(async) time: 0.05909466743469238 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05769062042236328 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.474343 rank: 43, write(async) time: 0.05811452865600586 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05722856521606445 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4745991 rank: 52, write(async) time: 0.057625532150268555 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05726766586303711 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06094980239868164 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05889010429382324 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.474728 rank: 50, write(async) time: 0.05765581130981445 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4743154 rank: 11, write(async) time: 0.06136775016784668 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.474127 rank: 36, write(async) time: 0.059247493743896484 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05788373947143555 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.061153411865234375 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4752955 rank: 51, write(async) time: 0.05830240249633789 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.474556 rank: 9, write(async) time: 0.06156349182128906 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06063199043273926 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06070113182067871 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.0615994930267334 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06209516525268555 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4756598 rank: 38, write(async) time: 0.0610957145690918 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4748263 rank: 24, write(async) time: 0.06114530563354492 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4773138 rank: 22, write(async) time: 0.06203722953796387 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4759743 rank: 8, write(async) time: 0.06255650520324707 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.060942649841308594 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4758844 rank: 39, write(async) time: 0.06140470504760742 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06055474281311035 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06050419807434082 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4775877 rank: 48, write(async) time: 0.06098437309265137 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.061951398849487305 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.061356544494628906 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4776695 rank: 55, write(async) time: 0.06088733673095703 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4770603 rank: 34, write(async) time: 0.06239771842956543 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4782748 rank: 40, write(async) time: 0.06179642677307129 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06256461143493652 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4777024 rank: 33, write(async) time: 0.06299829483032227 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06534647941589355 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4792402 rank: 27, write(async) time: 0.06572723388671875 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06704425811767578 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 63, takes 1.9073486328125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.481021 rank: 29, write(async) time: 0.0674595832824707 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.06669998168945312 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4831288 rank: 41, write(async) time: 0.06711578369140625 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.05930685997009277 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4839895 rank: 0, write(async) time: 0.059752464294433594 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 59, takes 1.6689300537109375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 62, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 58, takes 1.6927719116210938e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 57, takes 1.6450881958007812e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.07046985626220703 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.485579 rank: 32, write(async) time: 0.07094597816467285 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 60, takes 1.6927719116210938e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:D2H and push, time: 0.07294869422912598 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546079.4880972 rank: 14, write(async) time: 0.07352566719055176 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 35, takes 1.3113021850585938e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 61, takes 1.5735626220703125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 31, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 36, takes 1.2874603271484375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 28, takes 1.7642974853515625e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 16, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 56, takes 1.4066696166992188e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 19, takes 2.09808349609375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 46, takes 1.8358230590820312e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 49, takes 1.5497207641601562e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 44, takes 1.7881393432617188e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 37, takes 1.8596649169921875e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 45, takes 2.002716064453125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 54, takes 1.621246337890625e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 23, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 47, takes 1.8358230590820312e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 52, takes 1.52587890625e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 20, takes 1.6927719116210938e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 53, takes 1.7404556274414062e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 50, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 30, takes 1.8358230590820312e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 51, takes 1.6450881958007812e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 26, takes 1.8358230590820312e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 21, takes 1.9550323486328125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 25, takes 1.7881393432617188e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 43, takes 1.9073486328125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 17, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 42, takes 1.9311904907226562e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 55, takes 1.8358230590820312e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 18, takes 2.0742416381835938e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 39, takes 1.8596649169921875e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 38, takes 2.0265579223632812e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 22, takes 1.7881393432617188e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 10, takes 2.193450927734375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 48, takes 1.71661376953125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 33, takes 2.0503997802734375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 34, takes 1.7404556274414062e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 24, takes 1.6450881958007812e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 13, takes 2.384185791015625e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 12, takes 2.2649765014648438e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 27, takes 1.811981201171875e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 40, takes 1.7404556274414062e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 15, takes 1.9311904907226562e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 29, takes 1.5974044799804688e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 41, takes 1.6689300537109375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 32, takes 1.1920928955078125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 11, takes 1.8835067749023438e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 9, takes 1.7881393432617188e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 8, takes 1.621246337890625e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 63, takes 0.027958393096923828 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 14, takes 1.6927719116210938e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 62, takes 0.02969050407409668 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 59, takes 0.03032517433166504 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 58, takes 0.03054952621459961 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 57, takes 0.03051137924194336 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 60, takes 0.030996084213256836 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 4, takes 2.6941299438476562e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 6, takes 2.384185791015625e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 7, takes 6.771087646484375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 5, takes 3.528594970703125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 1, takes 2.956390380859375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 28, takes 0.03305697441101074 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 31, takes 0.0334928035736084 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 3, takes 2.0503997802734375e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 35, takes 0.03609442710876465 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 2, takes 2.0265579223632812e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 19, takes 0.03476715087890625 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 16, takes 0.03597450256347656 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 61, takes 0.03728985786437988 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 54, takes 0.03495049476623535 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 56, takes 0.036910057067871094 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 20, takes 0.035007476806640625 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 23, takes 0.0353546142578125 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 37, takes 0.03556203842163086 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 46, takes 0.03618645668029785 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 49, takes 0.035956621170043945 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 36, takes 0.03861284255981445 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 53, takes 0.03529524803161621 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 44, takes 0.03619074821472168 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 45, takes 0.0365447998046875 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 52, takes 0.03749370574951172 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 26, takes 0.03575921058654785 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 25, takes 0.03569769859313965 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 50, takes 0.03702187538146973 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 39, takes 0.03490090370178223 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 30, takes 0.036675453186035156 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 51, takes 0.03681230545043945 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 21, takes 0.03690290451049805 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 47, takes 0.03932023048400879 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 17, takes 0.0372469425201416 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 22, takes 0.036719322204589844 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 18, takes 0.037686824798583984 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 42, takes 0.03782916069030762 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 13, takes 0.03465151786804199 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 12, takes 0.03481316566467285 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 38, takes 0.03883099555969238 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 10, takes 0.03863215446472168 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 43, takes 0.04057955741882324 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 55, takes 0.04080080986022949 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 48, takes 0.03982234001159668 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 33, takes 0.04088735580444336 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 24, takes 0.040435075759887695 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 34, takes 0.041300058364868164 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 15, takes 0.038466691970825195 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 27, takes 0.04248666763305664 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 40, takes 0.04304909706115723 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 0, takes 1.9073486328125e-05 to finish D2H DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 8, takes 0.038767099380493164 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 29, takes 0.0439300537109375 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 11, takes 0.04028582572937012 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 9, takes 0.04026293754577637 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 32, takes 0.04508852958679199 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 6, takes 0.030030012130737305 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 41, takes 0.04865002632141113 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 4, takes 0.031043052673339844 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 5, takes 0.03114771842956543 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 1, takes 0.03212904930114746 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 2, takes 0.03191184997558594 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 7, takes 0.035012245178222656 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 14, takes 0.045348167419433594 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 3, takes 0.03633546829223633 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 0, takes 0.042788028717041016 to schedule async ckpt DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 0, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 32, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 1, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 8, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 33, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 24, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 16, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 40, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 2, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 9, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 10, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 34, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 26, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 41, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 56, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 57, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 48, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 49, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 3, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 11, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 35, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 25, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 17, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 18, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 42, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 59, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 50, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 4, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 12, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 36, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 27, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 20, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 19, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 43, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 58, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 51, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 7, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 6, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 13, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 37, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 28, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 23, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 44, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 60, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 52, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 5, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 15, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 38, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 29, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 21, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 45, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 61, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 62, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 53, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 14, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 39, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 30, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 31, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 22, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 46, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 63, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 54, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 55, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:rank: 47, joining self.process DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 135168, before: 1663537152, after: 1663672320 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 24576, before: 1691963392, after: 1691987968 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 200704, before: 1695809536, after: 1696010240 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 135168, before: 1671745536, after: 1671880704 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 126976, before: 1662459904, after: 1662586880 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 135168, before: 1662308352, after: 1662443520 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 131072, before: 1672445952, after: 1672577024 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13684736, before: 1674170368, after: 1687855104 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28090368, before: 1665990656, after: 1694081024 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17788928, before: 1672769536, after: 1690558464 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28160000, before: 1666244608, after: 1694404608 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28348416, before: 1665720320, after: 1694068736 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17821696, before: 1672531968, after: 1690353664 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13676544, before: 1672155136, after: 1685831680 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13926400, before: 1671233536, after: 1685159936 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17752064, before: 1685356544, after: 1703108608 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collecting worker results... DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28217344, before: 1666392064, after: 1694609408 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17666048, before: 1689878528, after: 1707544576 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 started DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13828096, before: 1673097216, after: 1686925312 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13762560, before: 1670455296, after: 1684217856 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 27983872, before: 1688776704, after: 1716760576 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38719488, before: 1674170368, after: 1712889856 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13824000, before: 1676156928, after: 1689980928 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28368896, before: 1671557120, after: 1699926016 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26116096, before: 1665990656, after: 1692106752 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17510400, before: 1673023488, after: 1690533888 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13807616, before: 1684254720, after: 1698062336 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17973248, before: 1666195456, after: 1684168704 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28307456, before: 1667371008, after: 1695678464 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28241920, before: 1661849600, after: 1690091520 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13770752, before: 1669480448, after: 1683251200 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26132480, before: 1666244608, after: 1692377088 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 30298112, before: 1694113792, after: 1724411904 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13746176, before: 1693536256, after: 1707282432 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 27185152, before: 1681715200, after: 1708900352 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28311552, before: 1670848512, after: 1699160064 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13717504, before: 1670983680, after: 1684701184 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17797120, before: 1668456448, after: 1686253568 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 28192768, before: 1707433984, after: 1735626752 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 368640, before: 1988653056, after: 1989021696 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17629184, before: 1668132864, after: 1685762048 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17575936, before: 1680969728, after: 1698545664 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13746176, before: 1704988672, after: 1718734848 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 18051072, before: 1672097792, after: 1690148864 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26353664, before: 1671557120, after: 1697910784 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 22016000, before: 1719193600, after: 1741209600 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 27852800, before: 1675821056, after: 1703673856 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17784832, before: 1673129984, after: 1690914816 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 21921792, before: 1701863424, after: 1723785216 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26152960, before: 1665720320, after: 1691873280 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 19759104, before: 1726124032, after: 1745883136 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17723392, before: 1676075008, after: 1693798400 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17858560, before: 1677324288, after: 1695182848 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38830080, before: 1671233536, after: 1710063616 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26103808, before: 1667371008, after: 1693474816 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13578240, before: 1705959424, after: 1719537664 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 27148288, before: 1669738496, after: 1696886784 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 25882624, before: 1688776704, after: 1714659328 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26230784, before: 1661849600, after: 1688080384 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26226688, before: 1666392064, after: 1692618752 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17924096, before: 1670402048, after: 1688326144 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13770752, before: 1680113664, after: 1693884416 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 27258880, before: 1668333568, after: 1695592448 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38940672, before: 1673097216, after: 1712037888 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38981632, before: 1672466432, after: 1711448064 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 25640960, before: 1670848512, after: 1696489472 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7060587, rank: 59, write(sync,parallel): 0.186431884765625 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38715392, before: 1685356544, after: 1724071936 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38825984, before: 1672769536, after: 1711595520 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 25767936, before: 1707433984, after: 1733201920 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26140672, before: 1681715200, after: 1707855872 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38924288, before: 1668456448, after: 1707380736 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 30265344, before: 1703981056, after: 1734246400 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38789120, before: 1689878528, after: 1728667648 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38817792, before: 1669480448, after: 1708298240 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 13901824, before: 1670320128, after: 1684221952 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7118263, rank: 62, write(sync,parallel): 0.19234061241149902 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 39038976, before: 1672097792, after: 1711136768 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38797312, before: 1672155136, after: 1710952448 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7129726, rank: 35, write(sync,parallel): 0.18421268463134766 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38895616, before: 1670402048, after: 1709297664 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38952960, before: 1666195456, after: 1705148416 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38694912, before: 1701863424, after: 1740558336 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38825984, before: 1670455296, after: 1709281280 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38662144, before: 1673023488, after: 1711685632 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26365952, before: 1668333568, after: 1694699520 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38952960, before: 1684254720, after: 1723207680 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38842368, before: 1676156928, after: 1714999296 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38694912, before: 1719193600, after: 1757888512 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38866944, before: 1670983680, after: 1709850624 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38764544, before: 1705009152, after: 1743773696 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26202112, before: 1675821056, after: 1702023168 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38711296, before: 1705959424, after: 1744670720 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 17768448, before: 1717047296, after: 1734815744 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26177536, before: 1669738496, after: 1695916032 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38686720, before: 1693536256, after: 1732222976 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38789120, before: 1668132864, after: 1706921984 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38629376, before: 1726124032, after: 1764753408 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38862848, before: 1676075008, after: 1714937856 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7289605, rank: 54, write(sync,parallel): 0.19493484497070312 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38584320, before: 1717047296, after: 1755631616 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38547456, before: 1680969728, after: 1719517184 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38842368, before: 1673146368, after: 1711988736 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38916096, before: 1677324288, after: 1716240384 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7334843, rank: 63, write(sync,parallel): 0.2185671329498291 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 26353664, before: 1694113792, after: 1720467456 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7344985, rank: 60, write(sync,parallel): 0.21208524703979492 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7349002, rank: 61, write(sync,parallel): 0.20192289352416992 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1 consumed: 28282880, before: 1703981056, after: 1732263936 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7365806, rank: 57, write(sync,parallel): 0.2145061492919922 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.25s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7382286, rank: 46, write(sync,parallel): 0.20375871658325195 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.26s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7423205, rank: 58, write(sync,parallel): 0.2214219570159912 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7423825, rank: 30, write(sync,parallel): 0.20576214790344238 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7452047, rank: 21, write(sync,parallel): 0.20312261581420898 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38821888, before: 1670320128, after: 1709142016 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7473257, rank: 22, write(sync,parallel): 0.20686817169189453 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7464857, rank: 36, write(sync,parallel): 0.21132373809814453 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57540608, before: 1671839744, after: 1729380352 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.26s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 38899712, before: 1680113664, after: 1719013376 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7530348, rank: 53, write(sync,parallel): 0.21693897247314453 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.753998, rank: 52, write(sync,parallel): 0.2160496711730957 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.753499, rank: 38, write(sync,parallel): 0.21182823181152344 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.75526, rank: 49, write(sync,parallel): 0.21930766105651855 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7564514, rank: 23, write(sync,parallel): 0.2202284336090088 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57815040, before: 1670324224, after: 1728139264 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.754757, rank: 26, write(sync,parallel): 0.21813178062438965 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.755047, rank: 24, write(sync,parallel): 0.21013450622558594 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7578607, rank: 19, write(sync,parallel): 0.22340035438537598 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.761144, rank: 20, write(sync,parallel): 0.2248821258544922 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7624285, rank: 55, write(sync,parallel): 0.2181999683380127 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7611904, rank: 31, write(sync,parallel): 0.2327427864074707 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7637181, rank: 16, write(sync,parallel): 0.22958898544311523 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7640038, rank: 44, write(sync,parallel): 0.22728705406188965 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7622292, rank: 28, write(sync,parallel): 0.2331991195678711 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.27s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57462784, before: 1679060992, after: 1736523776 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7659798, rank: 40, write(sync,parallel): 0.21314573287963867 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.765274, rank: 37, write(sync,parallel): 0.23101115226745605 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57667584, before: 1683877888, after: 1741545472 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.28s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7679048, rank: 50, write(sync,parallel): 0.2291882038116455 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7674727, rank: 34, write(sync,parallel): 0.22220563888549805 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.767897, rank: 39, write(sync,parallel): 0.22935795783996582 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.769375, rank: 56, write(sync,parallel): 0.23502302169799805 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.28s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7697906, rank: 42, write(sync,parallel): 0.22899508476257324 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.28s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.28s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7708004, rank: 51, write(sync,parallel): 0.23151230812072754 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57516032, before: 1730359296, after: 1787875328 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7712348, rank: 27, write(sync,parallel): 0.2221992015838623 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7727904, rank: 47, write(sync,parallel): 0.23280072212219238 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7730854, rank: 43, write(sync,parallel): 0.2292003631591797 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.28s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57700352, before: 1676353536, after: 1734053888 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7758715, rank: 17, write(sync,parallel): 0.23464584350585938 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7748027, rank: 33, write(sync,parallel): 0.23011279106140137 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7769969, rank: 32, write(sync,parallel): 0.22187089920043945 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7768602, rank: 25, write(sync,parallel): 0.2382979393005371 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.29s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7771974, rank: 29, write(sync,parallel): 0.22580480575561523 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.28s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7834325, rank: 18, write(sync,parallel): 0.24146389961242676 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.29s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7848055, rank: 48, write(sync,parallel): 0.23867583274841309 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.29s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.78812, rank: 10, write(sync,parallel): 0.24590015411376953 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.29s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.29s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.30s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7954755, rank: 45, write(sync,parallel): 0.258530855178833 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7960248, rank: 13, write(sync,parallel): 0.25527119636535645 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.7982252, rank: 41, write(sync,parallel): 0.24010396003723145 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.30s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.30s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.8051376, rank: 9, write(sync,parallel): 0.2505214214324951 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57790464, before: 1689923584, after: 1747714048 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 57643008, before: 1684873216, after: 1742516224 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.31s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.81364, rank: 8, write(sync,parallel): 0.2597818374633789 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.8171048, rank: 12, write(sync,parallel): 0.2730238437652588 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.8193421, rank: 14, write(sync,parallel): 0.25522422790527344 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.32s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.34s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.35s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.33s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.34s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.34s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.8563986, rank: 15, write(sync,parallel): 0.3073294162750244 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.8577573, rank: 11, write(sync,parallel): 0.3023514747619629 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.35s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.36s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109543424, before: 1663537152, after: 1773080576 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109449216, before: 1695809536, after: 1805258752 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109629440, before: 1662308352, after: 1771937792 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109178880, before: 1691963392, after: 1801142272 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109477888, before: 1671745536, after: 1781223424 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.43s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.43s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.937131, rank: 6, write(sync,parallel): 0.3797321319580078 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109432832, before: 1662459904, after: 1771892736 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109707264, before: 1672445952, after: 1782153216 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.956411, rank: 5, write(sync,parallel): 0.3970460891723633 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.44s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.9672742, rank: 4, write(sync,parallel): 0.4089508056640625 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.967452, rank: 7, write(sync,parallel): 0.40484118461608887 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.9688754, rank: 1, write(sync,parallel): 0.4078078269958496 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:0 consumed: 109293568, before: 1988653056, after: 2097946624 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.9848514, rank: 3, write(sync,parallel): 0.41866183280944824 DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546079.9862826, rank: 2, write(sync,parallel): 0.42432355880737305 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.47s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.48s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.48s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.48s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.49s from forking DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.50s from forking DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:FileSystemWriterAsync: collected worker results successfully DEBUG:megatron.core.dist_checkpointing.strategies.filesystem_async:1750546080.0270553, rank: 0, write(sync,parallel): 0.4297976493835449 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:TemporalAsyncCaller: Async process join finished after 0.52s from forking DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0762498, 5, gather: 0.08551979064941406 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.076266, 7, gather: 0.07053756713867188 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.076319, 6, gather: 0.10754728317260742 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763721, 13, gather: 0.24286293983459473 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.076373, 9, gather: 0.2324674129486084 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763814, 1, gather: 0.07007837295532227 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763788, 3, gather: 0.05475592613220215 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763872, 2, gather: 0.05140352249145508 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763783, 4, gather: 0.07579970359802246 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763962, 12, gather: 0.208204984664917 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.076442, 11, gather: 0.1393723487854004 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0764368, 8, gather: 0.2209165096282959 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0779521, 23, gather: 0.2710294723510742 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.077976, 20, gather: 0.26687026023864746 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.076596, 15, gather: 0.13926219940185547 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0769334, 38, gather: 0.28551387786865234 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0769417, 39, gather: 0.2594296932220459 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0769477, 37, gather: 0.25824666023254395 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.076367, 26, gather: 0.27265310287475586 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763772, 31, gather: 0.26647233963012695 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0763876, 25, gather: 0.25214576721191406 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0781405, 18, gather: 0.2420215606689453 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0766692, 10, gather: 0.2483806610107422 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0769982, 32, gather: 0.2534492015838623 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0771217, 35, gather: 0.32612133026123047 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0771391, 34, gather: 0.25520968437194824 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0771513, 33, gather: 0.25182461738586426 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0764813, 28, gather: 0.262967586517334 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0781784, 16, gather: 0.270519495010376 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0785754, 41, gather: 0.23326325416564941 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0786893, 43, gather: 0.25204968452453613 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0786939, 44, gather: 0.2652914524078369 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0786939, 42, gather: 0.25943636894226074 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0785332, 56, gather: 0.27518463134765625 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.07668, 14, gather: 0.21105480194091797 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.077184, 36, gather: 0.29088830947875977 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0765584, 30, gather: 0.2976968288421631 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.078338, 17, gather: 0.25354552268981934 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0787663, 47, gather: 0.2516772747039795 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0788727, 48, gather: 0.24482440948486328 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0789216, 53, gather: 0.2742795944213867 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0766137, 24, gather: 0.28127336502075195 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0783165, 19, gather: 0.2713165283203125 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0788033, 45, gather: 0.23674583435058594 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0791147, 57, gather: 0.3079845905303955 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0791152, 62, gather: 0.3367652893066406 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0791166, 59, gather: 0.3405578136444092 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0791192, 63, gather: 0.31053733825683594 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0789268, 52, gather: 0.2775399684906006 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0767403, 27, gather: 0.25752782821655273 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0768442, 29, gather: 0.2546577453613281 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0783525, 21, gather: 0.28052735328674316 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0789728, 46, gather: 0.3040904998779297 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0791783, 61, gather: 0.3078174591064453 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.078954, 54, gather: 0.3123295307159424 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.078969, 55, gather: 0.26563596725463867 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.078447, 22, gather: 0.29204440116882324 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0791593, 40, gather: 0.27261948585510254 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0792017, 58, gather: 0.299379825592041 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0789924, 51, gather: 0.2568204402923584 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0801122, 60, gather: 0.3081552982330322 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0790513, 49, gather: 0.2704355716705322 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0792513, 50, gather: 0.263500452041626 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0845857, 0, gather: 0.01239919662475586 DEBUG:megatron.core.dist_checkpointing.strategies.state_dict_saver:1750546080.0993266, metadata_write: 0.014592647552490234 DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.0297s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.0950s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.0799s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.1107s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.0765s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.1008s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.1330s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.1643s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2679s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.1640s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2908s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2765s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2973s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2813s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2784s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3054s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2782s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2952s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2960s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2669s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2755s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2890s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2569s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2955s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2831s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2760s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2604s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3308s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3337s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3224s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3599s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2990s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3312s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3632s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3302s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2684s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2938s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.0958s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2333s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2575s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2777s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2759s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2793s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3500s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2828s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2840s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3149s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3098s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3215s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2961s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2918s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3051s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3273s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2802s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2867s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2458s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2730s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2357s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2872s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3165s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2891s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3355s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.3011s DEBUG:megatron.core.dist_checkpointing.strategies.async_utils:finalize took 0.2979s successfully saved checkpoint from iteration 10 to /mnt/sharefs/users/hao.zhang/junda/gpt-checkpoint/ctx2048-tp-cp-bs [ t 1/8, p 1/1 ] DEBUG:megatron.training.checkpointing:rank: 11, takes 0.004715442657470703 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 9, takes 0.004743099212646484 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 8, takes 0.004767417907714844 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 15, takes 0.004736423492431641 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 17, takes 0.004832744598388672 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 16, takes 0.0048296451568603516 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 43, takes 0.0047528743743896484 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 44, takes 0.004749298095703125 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 46, takes 0.004729747772216797 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 42, takes 0.004757881164550781 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 40, takes 0.0047681331634521484 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 41, takes 0.0047359466552734375 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 45, takes 0.00471186637878418 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 58, takes 0.004690885543823242 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 61, takes 0.004756450653076172 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 56, takes 0.00471043586730957 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 57, takes 0.004752635955810547 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 59, takes 0.004717111587524414 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 63, takes 0.004738569259643555 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 62, takes 0.004751682281494141 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 49, takes 0.00478053092956543 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 48, takes 0.004776477813720703 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 1, takes 0.004806995391845703 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 0, takes 0.004842519760131836 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 13, takes 0.004742145538330078 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 12, takes 0.004708290100097656 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 33, takes 0.004759550094604492 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 24, takes 0.004776477813720703 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 28, takes 0.004710674285888672 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 31, takes 0.004719734191894531 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 25, takes 0.00472259521484375 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 26, takes 0.004706382751464844 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 47, takes 0.004776477813720703 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 60, takes 0.004727363586425781 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 50, takes 0.004835367202758789 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 3, takes 0.004891633987426758 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 4, takes 0.00487828254699707 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 7, takes 0.004891157150268555 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 2, takes 0.004876375198364258 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 5, takes 0.0048139095306396484 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 6, takes 0.004867076873779297 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 10, takes 0.00473785400390625 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 34, takes 0.004813432693481445 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 29, takes 0.0047376155853271484 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 30, takes 0.004720926284790039 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 19, takes 0.004862308502197266 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 18, takes 0.004831790924072266 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 20, takes 0.004961967468261719 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 52, takes 0.004892110824584961 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 51, takes 0.004925966262817383 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 14, takes 0.004729032516479492 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 32, takes 0.004654884338378906 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 27, takes 0.004708290100097656 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 22, takes 0.004947185516357422 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 23, takes 0.005025386810302734 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 21, takes 0.004965543746948242 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 55, takes 0.004985809326171875 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 53, takes 0.005019664764404297 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 36, takes 0.004854679107666016 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 54, takes 0.004996776580810547 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 37, takes 0.004927635192871094 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 38, takes 0.004918336868286133 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 39, takes 0.004881620407104492 to finalize ckpt save DEBUG:megatron.training.checkpointing:rank: 35, takes 0.0049054622650146484 to finalize ckpt save WARNING:megatron.core.rerun_state_machine:Setting RerunStateMachine mode RerunMode.DISABLED Evaluating on 1 samples Evaluating iter 1/1 batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor: torch.Size([1, 1024])tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokens batch tensor: labelsbatch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:labels labelstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor:tokens labelsloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) attention_mask batch tensor:batch tensor:batch tensor: tokenstokens tokens torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:loss_mask loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: batch tensor:attention_mask attention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: labels batch tensor:torch.Size([1, 1024])batch tensor: attention_maskbatch tensor: torch.Size([1, 1, 1024, 1024])loss_masktokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:torch.Size([1, 1, 1024, 1024])batch tensor: labelsattention_mask batch tensor: torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])position_ids batch tensor:batch tensor:torch.Size([1, 1024]) loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: labelslabels labels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: loss_maskloss_masktorch.Size([1, 1024]) tokenstorch.Size([1, 1024])torch.Size([1, 1024])batch tensor: batch tensor: batch tensor:position_ids position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor: position_idsattention_mask torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids labelstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:loss_mask loss_masktorch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) loss_maskbatch tensor: batch tensor: torch.Size([1, 1024]) attention_masktorch.Size([1, 1024])attention_mask batch tensor:torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: attention_mask batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024])batch tensor:batch tensor: batch tensor: tokenstokensposition_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:labels batch tensor: tokens position_idstorch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])position_ids batch tensor: batch tensor: torch.Size([1, 1024]) torch.Size([1, 1024])loss_maskposition_ids batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_maskbatch tensor: attention_masktorch.Size([1, 1, 1024, 1024])batch tensor: torch.Size([1, 1, 1024, 1024]) batch tensor:tokens batch tensor: position_ids position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) labelsbatch tensor: torch.Size([1, 1024])attention_mask batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: loss_mask torch.Size([1, 1024])tokensbatch tensor: batch tensor: torch.Size([1, 1, 1024, 1024])loss_mask torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor:tokens attention_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:tokens torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids attention_masktorch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: torch.Size([1, 1024]) position_ids position_ids torch.Size([1, 1024])batch tensor:batch tensor:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor:labels torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: loss_mask torch.Size([1, 1024]) tokens batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024])batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) labelstokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024])position_ids labels batch tensor: torch.Size([1, 1024]) torch.Size([1, 1024]) loss_mask batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor:batch tensor: attention_mask attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: position_idsbatch tensor: position_idstorch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])position_ids torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:batch tensor: tokens tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:labels attention_masktorch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: tokens torch.Size([1, 1024]) batch tensor: tokens batch tensor after cp: tokens torch.Size([1, 1024])torch.Size([1, 128]) batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokensbatch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor: labelslabels torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) loss_maskbatch tensor: torch.Size([1, 1024])position_ids batch tensor: labels torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor after cp:tokensbatch tensor after cp: torch.Size([1, 128]) labels loss_mask batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) labelsbatch tensor after cp: batch tensor after cp:torch.Size([1, 128])loss_mask attention_maskbatch tensor after cp:torch.Size([1, 128]) loss_masktorch.Size([1, 1, 128, 1024])batch tensor after cp: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor:batch tensor: attention_maskattention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:position_ids position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor:batch tensor: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor after cp:labels labelstorch.Size([1, 1024]) torch.Size([1, 128])batch tensor: batch tensor after cp:loss_mask loss_masktorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor: loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp:attention_masktorch.Size([1, 128]) position_idstorch.Size([1, 1, 128, 1024])batch tensor after cp: torch.Size([1, 128])batch tensor after cp:attention_mask position_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: tokens batch tensor after cp: tokens torch.Size([1, 1024])torch.Size([1, 128]) attention_masktokens torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: batch tensor after cp:attention_mask attention_masktorch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor: labelsattention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024])position_ids batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor: tokenstokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor after cp: tokens position_idsposition_ids batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1024])tokens torch.Size([1, 1024]) batch tensor: labelstorch.Size([1, 128]) torch.Size([1, 1024])batch tensor after cp: labelsbatch tensor: loss_masktorch.Size([1, 128]) torch.Size([1, 1024])batch tensor after cp: torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor after cp: batch tensor after cp: batch tensor after cp:labels tokenslabelstorch.Size([1, 128])tokens torch.Size([1, 128])torch.Size([1, 128])batch tensor after cp: torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:loss_mask batch tensor: labelstorch.Size([1, 128])labels torch.Size([1, 1024]) batch tensor after cp: batch tensor:batch tensor:tokens labelslabelstorch.Size([1, 128]) loss_mask batch tensor:torch.Size([1, 128]) attention_maskbatch tensor after cp: torch.Size([1, 1, 1024, 1024])attention_mask batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor after cp: loss_masktorch.Size([1, 128]) torch.Size([1, 128]) attention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1024])batch tensor after cp: batch tensor:batch tensor:labels loss_mask loss_mask torch.Size([1, 128])torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])batch tensor: position_idsbatch tensor after cp: torch.Size([1, 1024])position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp:tokens attention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128])batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp:batch tensor:batch tensor: attention_maskloss_mask attention_mask torch.Size([1, 1, 1024, 1024]) torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor after cp: batch tensor: position_ids attention_mask position_idstorch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: batch tensor after cp: labels position_ids tokens torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) batch tensor after cp:tokens loss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:batch tensor after cp: batch tensor after cp: tokens labelstokens attention_masktorch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor after cp:batch tensor: loss_mask attention_maskloss_mask position_idstorch.Size([1, 128]) torch.Size([1, 1, 1024, 1024])batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) batch tensor: attention_mask batch tensor after cp:torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])loss_mask batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: loss_masklabels batch tensor after cp: batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128]) tokensbatch tensor after cp: batch tensor after cp:attention_mask torch.Size([1, 128])tokenstorch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp:torch.Size([1, 128]) batch tensor:batch tensor after cp:attention_mask position_idstorch.Size([1, 1, 128, 1024])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024]) tokensbatch tensor: position_idsbatch tensor: torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp: tokensbatch tensor after cp: torch.Size([1, 128])tokens batch tensor after cp: torch.Size([1, 128])labels torch.Size([1, 128])batch tensor after cp: labelsbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 128]) batch tensor: tokensposition_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor: loss_mask torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor after cp:labelsbatch tensor after cp:position_ids attention_masktorch.Size([1, 128]) loss_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor after cp: loss_maskbatch tensor after cp: position_idstokens torch.Size([1, 128]) torch.Size([1, 128])attention_mask labelsposition_idsbatch tensor after cp: torch.Size([1, 128]) labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:batch tensor after cp:loss_mask loss_masktokenstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:torch.Size([1, 128]) position_idsbatch tensor after cp: position_idstorch.Size([1, 128]) torch.Size([1, 128]) tokensbatch tensor after cp: labels torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) position_ids batch tensor after cp: torch.Size([1, 128])position_ids batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens batch tensor after cp: tokens torch.Size([1, 128])torch.Size([1, 1024]) labelsbatch tensor: torch.Size([1, 1024])position_ids batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) attention_maskattention_maskbatch tensor after cp: labelstorch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:position_idsbatch tensor after cp:batch tensor after cp: loss_mask position_idstorch.Size([1, 128])tokens torch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: labelsbatch tensor: torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) attention_maskbatch tensor after cp:batch tensor after cp: labelsposition_idstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:batch tensor after cp: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask labelstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:position_ids loss_masktorch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) loss_mask batch tensor:torch.Size([1, 128]) loss_mask batch tensor after cp:torch.Size([1, 1024]) attention_mask torch.Size([1, 1, 128, 1024])batch tensor: attention_maskbatch tensor after cp: position_idstorch.Size([1, 1, 1024, 1024]) torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor:position_ids labelstorch.Size([1, 128]) torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask attention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:position_ids position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_ids tokenstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:labels torch.Size([1, 128])tokens batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) tokens batch tensor after cp: labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:labels loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp:batch tensor after cp: loss_maskattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: attention_maskposition_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:loss_mask attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024])batch tensor after cp: batch tensor after cp:attention_mask position_idstorch.Size([1, 1, 128, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask loss_masktorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask attention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: tokens torch.Size([1, 128])batch tensor after cp: batch tensor after cp:tokens labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask labelstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:batch tensor after cp:attention_mask loss_mask torch.Size([1, 1, 128, 1024])tokenstorch.Size([1, 128]) batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp: loss_mask torch.Size([1, 128]) attention_mask batch tensor after cp:torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) labels batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) position_idsbatch tensor after cp: torch.Size([1, 128])loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) Start exporting trace 10 Done exporting trace 10 WARNING:megatron.core.rerun_state_machine:Setting RerunStateMachine mode RerunMode.DISABLED WARNING:megatron.core.rerun_state_machine:Setting RerunStateMachine mode RerunMode.DISABLED WARNING:megatron.core.rerun_state_machine:Setting RerunStateMachine mode RerunMode.DISABLED (min, max) time across ranks (ms): evaluate .......................................: (2799.46, 2800.84) Evaluating on 1 samples Evaluating iter 1/1 ---------------------------------------------------------------------------------------------------------------- validation loss at iteration 10 on validation set | lm loss value: 1.178553E+01 | lm loss PPL: 1.313386E+05 | ---------------------------------------------------------------------------------------------------------------- batch tensor: tokens batch tensor:torch.Size([1, 1024]) tokensbatch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024])tokens batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024])batch tensor: loss_maskbatch tensor: torch.Size([1, 1024]) batch tensor:tokens attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])position_ids torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens batch tensor:batch tensor:torch.Size([1, 1024]) tokens tokens batch tensor: labels batch tensor:torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:tokensbatch tensor:batch tensor: batch tensor:loss_mask labels tokenstorch.Size([1, 1024])labels torch.Size([1, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor: attention_mask torch.Size([1, 1024])loss_maskbatch tensor: batch tensor: torch.Size([1, 1, 1024, 1024]) labelstorch.Size([1, 1024])loss_mask batch tensor: batch tensor: torch.Size([1, 1024]) batch tensor:position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) batch tensor: tokensposition_ids torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) batch tensor:tokens labels torch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])loss_mask torch.Size([1, 1024]) batch tensor:batch tensor: labelsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:batch tensor:position_ids torch.Size([1, 1024])tokens batch tensor:batch tensor:batch tensor: tokenstokenstokens batch tensor:torch.Size([1, 1024])torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: tokens labelslabels labelstorch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor:torch.Size([1, 1024]) batch tensor:loss_mask loss_maskloss_masktorch.Size([1, 1024]) batch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: labels torch.Size([1, 1024]) tokens batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: attention_mask batch tensor:torch.Size([1, 1, 1024, 1024]) labels batch tensor:batch tensor:torch.Size([1, 1024]) position_ids batch tensor:torch.Size([1, 1024])tokens loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_idslabels batch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: batch tensor:labels attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:loss_mask position_idstorch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor:batch tensor: batch tensor:tokens batch tensor: tokenstokens torch.Size([1, 1024])tokens torch.Size([1, 1024])batch tensor:torch.Size([1, 1024]) labelstorch.Size([1, 1024])batch tensor: batch tensor: labels torch.Size([1, 1024]) labelsbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:labels batch tensor: loss_maskbatch tensor:torch.Size([1, 1024])loss_mask torch.Size([1, 1024])loss_masktorch.Size([1, 1024]) batch tensor:torch.Size([1, 1024])batch tensor:batch tensor: loss_maskattention_mask attention_mask batch tensor:torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) tokens torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: labelslabels tokenstorch.Size([1, 1024])torch.Size([1, 1024]) batch tensor:batch tensor: loss_maskloss_mask torch.Size([1, 1024]) torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor:batch tensor:batch tensor: attention_masklabelsattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: batch tensor:position_ids position_idsloss_mask torch.Size([1, 1024]) torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) labelsbatch tensor: batch tensor: torch.Size([1, 1024])batch tensor: attention_mask attention_mask attention_mask batch tensor: torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 1024, 1024]) loss_masktorch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: torch.Size([1, 1024])position_idsposition_ids batch tensor: torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: position_ids batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])tokens batch tensor: loss_mask batch tensor:torch.Size([1, 1024]) batch tensor: tokensattention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:tokens batch tensor: tokens batch tensor:loss_mask torch.Size([1, 1024])tokenstorch.Size([1, 1024]) torch.Size([1, 1024]) tokensbatch tensor: batch tensor: labelsbatch tensor:torch.Size([1, 1024])torch.Size([1, 1024])attention_mask torch.Size([1, 1024])labels torch.Size([1, 1, 1024, 1024])batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])attention_maskbatch tensor: batch tensor:batch tensor:attention_masktorch.Size([1, 1, 1024, 1024]) position_idsposition_ids torch.Size([1, 1, 1024, 1024]) batch tensor:torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: position_ids position_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024])batch tensor:batch tensor: batch tensor:tokens loss_masktokens torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) torch.Size([1, 1024]) attention_mask batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor: loss_maskattention_mask attention_masktorch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor: attention_maskbatch tensor:position_ids position_idstorch.Size([1, 1, 1024, 1024])torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: position_ids torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: position_ids batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) tokens batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: loss_mask torch.Size([1, 1024])batch tensor: labelsbatch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor: batch tensor:loss_mask position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])labelsbatch tensor: batch tensor:batch tensor: batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: attention_mask loss_mask torch.Size([1, 1024]) batch tensor: labelsattention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: torch.Size([1, 1, 1024, 1024]) position_idsposition_idsbatch tensor: torch.Size([1, 1024])loss_mask batch tensor:torch.Size([1, 1024])batch tensor:torch.Size([1, 1024])torch.Size([1, 1024]) position_idsbatch tensor:loss_mask attention_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: batch tensor:tokens torch.Size([1, 128]) tokensbatch tensor after cp: labels torch.Size([1, 128]) batch tensor:batch tensor:torch.Size([1, 1, 1024, 1024]) labels labelsbatch tensor: torch.Size([1, 1024]) torch.Size([1, 1024]) position_ids batch tensor:torch.Size([1, 1024])batch tensor: batch tensor: position_ids torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: attention_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1, 1024, 1024]) batch tensor after cp: torch.Size([1, 1024])loss_mask torch.Size([1, 128]) loss_maskloss_mask torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024])batch tensor: batch tensor:tokens labels torch.Size([1, 1024]) batch tensor:torch.Size([1, 1024]) loss_mask torch.Size([1, 1024]) batch tensor: batch tensor:labels attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor:batch tensor: attention_mask tokens torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:batch tensor after cp: labelsattention_mask torch.Size([1, 1024])torch.Size([1, 1, 128, 1024]) batch tensor:batch tensor after cp: attention_maskbatch tensor: tokens torch.Size([1, 1, 1024, 1024]) attention_mask torch.Size([1, 128]) batch tensor: torch.Size([1, 1, 1024, 1024])position_idsbatch tensor after cp: batch tensor:batch tensor:loss_mask tokenstorch.Size([1, 1024]) position_ids torch.Size([1, 1024])batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: labelsposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_mask tokenstorch.Size([1, 128]) batch tensor after cp:batch tensor: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) labelstorch.Size([1, 1024])batch tensor: torch.Size([1, 128])position_ids batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokensbatch tensor after cp: tokenstorch.Size([1, 128]) batch tensor after cp:batch tensor:batch tensor after cp:torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: position_ids tokenstorch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: tokens batch tensor: torch.Size([1, 1024])tokens batch tensor after cp:torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024])labels batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:torch.Size([1, 1024]) batch tensor: tokens torch.Size([1, 1024]) labels tokensbatch tensor after cp:tokensbatch tensor after cp:torch.Size([1, 128]) labelstorch.Size([1, 128])tokensbatch tensor after cp: torch.Size([1, 128])loss_mask batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 1024])torch.Size([1, 128])batch tensor after cp: labels batch tensor after cp: batch tensor after cp: loss_mask batch tensor: torch.Size([1, 128]) attention_mask torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor: tokens torch.Size([1, 1024])labels torch.Size([1, 128]) torch.Size([1, 1024]) batch tensor: batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: labels torch.Size([1, 1024]) labels batch tensor after cp:torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) labelsbatch tensor after cp: batch tensor after cp:loss_maskbatch tensor after cp: tokenstorch.Size([1, 128])torch.Size([1, 1024]) attention_masktorch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])position_ids batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: batch tensor:labelslabels torch.Size([1, 128]) loss_masktorch.Size([1, 1024])batch tensor after cp: torch.Size([1, 1024])batch tensor: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: loss_maskbatch tensor after cp: torch.Size([1, 1024])tokensbatch tensor after cp: batch tensor: batch tensor after cp:loss_mask labelstorch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask torch.Size([1, 128]) batch tensor:attention_maskbatch tensor after cp: batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor:loss_mask loss_maskattention_mask torch.Size([1, 1, 1024, 1024])torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids batch tensor:torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:batch tensor after cp: batch tensor after cp:tokens tokens tokens tokens torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: batch tensor after cp:labelsbatch tensor after cp:labels labelstorch.Size([1, 128])labelstorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:loss_mask batch tensor after cp: loss_mask loss_masktorch.Size([1, 128]) loss_mask torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: torch.Size([1, 128]) batch tensor after cp:attention_maskbatch tensor after cp: attention_maskattention_maskbatch tensor after cp:torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024])attention_masktorch.Size([1, 1, 128, 1024]) batch tensor:torch.Size([1, 128]) batch tensor after cp:tokens batch tensor after cp:torch.Size([1, 128]) attention_mask position_ids loss_masktorch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 1024, 1024])batch tensor after cp: torch.Size([1, 128])batch tensor after cp:torch.Size([1, 128]) batch tensor after cp:batch tensor: position_ids attention_maskattention_masktorch.Size([1, 128])position_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024])torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:position_ids position_idstorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: tokenstokens batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 128])tokensbatch tensor after cp:batch tensor after cp: labelsbatch tensor after cp:tokens torch.Size([1, 128]) torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor:batch tensor: batch tensor after cp:position_ids attention_mask attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) tokens batch tensor:torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:torch.Size([1, 1, 128, 1024]) batch tensor after cp:position_idsposition_ids batch tensor after cp:batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) position_idstokens position_idstorch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) attention_maskbatch tensor after cp: tokens torch.Size([1, 128]) torch.Size([1, 1, 1024, 1024])labels batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) labelstorch.Size([1, 128])batch tensor after cp: loss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:labels batch tensor after cp: batch tensor after cp: loss_maskbatch tensor after cp: torch.Size([1, 128]) attention_mask batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) tokensbatch tensor: labels torch.Size([1, 1024]) torch.Size([1, 1024])batch tensor: batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: batch tensor: torch.Size([1, 128])batch tensor after cp: labels batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:batch tensor after cp: labelslabels tokens torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:batch tensor after cp: loss_mask loss_masklabels torch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: tokens loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 128])batch tensor after cp:tokens torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) loss_maskbatch tensor after cp:batch tensor after cp: batch tensor after cp: torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 128]) labelsattention_maskposition_ids batch tensor after cp: batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) batch tensor: loss_mask torch.Size([1, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) loss_mask batch tensor:torch.Size([1, 1024]) batch tensor after cp: tokens torch.Size([1, 128])batch tensor after cp: batch tensor after cp:tokens labels torch.Size([1, 128])torch.Size([1, 128]) position_idslabels batch tensor after cp: torch.Size([1, 128]) torch.Size([1, 1024])torch.Size([1, 128]) batch tensor after cp: torch.Size([1, 1, 128, 1024])batch tensor after cp:position_idstorch.Size([1, 128])torch.Size([1, 128])labels batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128])attention_mask batch tensor after cp: attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) tokensbatch tensor after cp: batch tensor after cp:position_idstorch.Size([1, 128]) torch.Size([1, 128])tokens batch tensor after cp: labels torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) labels batch tensor: torch.Size([1, 1024])attention_mask torch.Size([1, 1, 1024, 1024])batch tensor: batch tensor after cp:batch tensor after cp: labelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) loss_mask batch tensor after cp: batch tensor:batch tensor after cp: attention_mask loss_maskattention_masktokens torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) torch.Size([1, 1, 128, 1024]) torch.Size([1, 1024]) batch tensor after cp:position_idsbatch tensor after cp: loss_maskbatch tensor after cp:torch.Size([1, 1, 128, 1024])loss_masktorch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp:tokenstorch.Size([1, 128]) batch tensor after cp: batch tensor after cp:batch tensor after cp: labelsloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: loss_maskattention_mask torch.Size([1, 128]) torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:attention_mask position_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor after cp:batch tensor after cp: batch tensor after cp: labelstokens tokens tokenstorch.Size([1, 128]) torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: batch tensor:loss_mask position_idstorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: loss_maskattention_mask torch.Size([1, 128])torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: torch.Size([1, 128]) loss_maskloss_mask batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) attention_maskbatch tensor after cp: batch tensor after cp:attention_masktorch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp:batch tensor after cp:batch tensor:batch tensor after cp: position_idslabels attention_maskposition_ids torch.Size([1, 128]) torch.Size([1, 1024]) torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) position_idstorch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 128]) attention_mask batch tensor after cp: torch.Size([1, 1, 128, 1024]) labelstorch.Size([1, 1, 128, 1024]) batch tensor after cp: torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: labels torch.Size([1, 1024]) torch.Size([1, 128])batch tensor after cp: batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: attention_maskposition_ids torch.Size([1, 1, 128, 1024])torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) attention_mask batch tensor after cp:torch.Size([1, 1, 128, 1024]) tokens torch.Size([1, 1, 128, 1024])position_ids batch tensor after cp: batch tensor: position_idsloss_mask torch.Size([1, 128])torch.Size([1, 1024]) batch tensor after cp:position_ids batch tensor after cp: position_ids loss_masktorch.Size([1, 128])torch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:batch tensor: tokensloss_mask torch.Size([1, 1024]) torch.Size([1, 128]) labels batch tensor after cp: loss_mask labels labelstorch.Size([1, 128])torch.Size([1, 128]) batch tensor: tokens torch.Size([1, 1024]) batch tensor: batch tensor:labels torch.Size([1, 1024]) batch tensor:tokens batch tensor: loss_masktokens torch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp:torch.Size([1, 128]) torch.Size([1, 128])position_ids position_ids batch tensor after cp:torch.Size([1, 128])torch.Size([1, 128]) labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor: labelsattention_mask torch.Size([1, 128])torch.Size([1, 1, 1024, 1024]) batch tensor after cp:batch tensor: loss_maskposition_ids torch.Size([1, 128])torch.Size([1, 1024]) torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: batch tensor:batch tensor: labelstorch.Size([1, 1024])attention_mask torch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: batch tensor: loss_maskposition_ids torch.Size([1, 1024])torch.Size([1, 1024]) labels batch tensor: attention_masktorch.Size([1, 1024]) torch.Size([1, 1, 1024, 1024]) batch tensor:batch tensor: position_ids loss_masktorch.Size([1, 1024]) torch.Size([1, 1024]) batch tensor after cp: batch tensor after cp:tokens tokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128])torch.Size([1, 128]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: batch tensor after cp:attention_mask tokens torch.Size([1, 1, 128, 1024]) batch tensor after cp:torch.Size([1, 128]) position_ids batch tensor after cp:torch.Size([1, 128]) batch tensor after cp: batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: loss_maskloss_maskloss_maskbatch tensor after cp: torch.Size([1, 128])attention_masktorch.Size([1, 128]) torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: batch tensor after cp: tokens position_ids position_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp:torch.Size([1, 1, 128, 1024])batch tensor after cp:batch tensor: attention_maskbatch tensor after cp: attention_mask batch tensor after cp: tokenstorch.Size([1, 1, 128, 1024]) attention_mask batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) torch.Size([1, 128])batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) position_idstorch.Size([1, 1, 128, 1024]) batch tensor after cp: torch.Size([1, 1, 128, 1024]) batch tensor after cp: batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) torch.Size([1, 128])torch.Size([1, 1024])position_ids position_idstorch.Size([1, 128])batch tensor after cp: position_ids torch.Size([1, 128])batch tensor:torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) labels torch.Size([1, 1024]) batch tensor after cp:batch tensor after cp: position_idstokens torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor: loss_mask torch.Size([1, 1024]) torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor: attention_mask torch.Size([1, 1, 1024, 1024]) batch tensor: position_ids torch.Size([1, 1024]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) (min, max) time across ranks (ms): evaluate .......................................: (20.96, 24.35) batch tensor after cp:batch tensor after cp: tokenstokens torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: labelslabels torch.Size([1, 128]) torch.Size([1, 128]) ---------------------------------------------------------------------------------------------------------- validation loss at iteration 10 on test set | lm loss value: 1.178553E+01 | lm loss PPL: 1.313386E+05 | ---------------------------------------------------------------------------------------------------------- batch tensor after cp:batch tensor after cp: loss_maskloss_mask torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp:batch tensor after cp: attention_maskattention_mask torch.Size([1, 1, 128, 1024])torch.Size([1, 1, 128, 1024]) batch tensor after cp:batch tensor after cp: position_idsposition_ids torch.Size([1, 128])torch.Size([1, 128]) batch tensor after cp: tokens torch.Size([1, 128]) batch tensor after cp: labels torch.Size([1, 128]) batch tensor after cp: loss_mask torch.Size([1, 128]) batch tensor after cp: attention_mask torch.Size([1, 1, 128, 1024]) batch tensor after cp: position_ids torch.Size([1, 128]) Start exporting trace 11 Done exporting trace 11 WARNING:megatron.core.rerun_state_machine:Setting RerunStateMachine mode RerunMode.DISABLED WARNING:megatron.core.rerun_state_machine:Setting RerunStateMachine mode RerunMode.DISABLED