[2022-12-20 15:25:53,576] [WARNING] [runner.py:179:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only. [2022-12-20 15:25:53,588] [INFO] [runner.py:508:main] cmd = /home/ubuntu/whisper-medium-is/.venv/bin/python3 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMF19 --master_addr=127.0.0.1 --master_port=29500 run_speech_recognition_seq2seq_streaming.py --deepspeed=ds_config.json --model_name_or_path=openai/whisper-medium --datasets_config_file=/home/ubuntu/whisper-medium-is/ds_config.json --language=icelandic --train_split_name=train --eval_dataset_name=language-and-voice-lab/samromur_asr --eval_split_name=validation --eval_steps=1000 --max_eval_samples=1000 --model_index_name=Whisper medium Icelandic --max_steps=20000 --output_dir=./ --per_device_train_batch_size=64 --per_device_eval_batch_size=32 --logging_steps=25 --learning_rate=1e-5 --warmup_steps=500 --evaluation_strategy=steps --save_strategy=steps --save_steps=1000 --generation_max_length=225 --length_column_name=input_length --max_duration_in_seconds=30 --text_column_name=normalized_text --freeze_feature_encoder=False --report_to=tensorboard --metric_for_best_model=wer --greater_is_better=False --load_best_model_at_end --gradient_checkpointing --fp16 --overwrite_output_dir --do_train --do_eval --predict_with_generate --do_normalize_eval --streaming --push_to_hub --use_auth_token --mapper=/home/ubuntu/whisper/text_mapping [2022-12-20 15:25:55,198] [INFO] [launch.py:142:main] WORLD INFO DICT: {'localhost': [0]} [2022-12-20 15:25:55,198] [INFO] [launch.py:148:main] nnodes=1, num_local_procs=1, node_rank=0 [2022-12-20 15:25:55,198] [INFO] [launch.py:161:main] global_rank_mapping=defaultdict(, {'localhost': [0]}) [2022-12-20 15:25:55,198] [INFO] [launch.py:162:main] dist_world_size=1 [2022-12-20 15:25:55,198] [INFO] [launch.py:164:main] Setting CUDA_VISIBLE_DEVICES=0 [2022-12-20 15:25:59,578] [INFO] [comm.py:654:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 12/20/2022 15:25:59 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: True 12/20/2022 15:25:59 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _n_gpu=1, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, auto_find_batch_size=False, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, ddp_timeout=1800, debug=[], deepspeed=ds_config.json, disable_tqdm=False, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=1000, evaluation_strategy=steps, fp16=True, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, fsdp=[], fsdp_min_num_params=0, fsdp_transformer_layer_cls_to_wrap=None, full_determinism=False, generation_max_length=225, generation_num_beams=None, gradient_accumulation_steps=1, gradient_checkpointing=True, greater_is_better=False, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, hub_token=, ignore_data_skip=False, include_inputs_for_metrics=False, jit_mode_eval=False, label_names=None, label_smoothing_factor=0.0, learning_rate=1e-05, length_column_name=input_length, load_best_model_at_end=True, local_rank=0, log_level=passive, log_level_replica=passive, log_on_each_node=True, logging_dir=./runs/Dec20_15-25-59_129-146-65-51, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=20000, metric_for_best_model=wer, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, optim_args=None, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=32, per_device_train_batch_size=64, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, torchdynamo=None, tpu_metrics_debug=False, tpu_num_cores=None, use_ipex=False, use_legacy_prediction_loop=False, use_mps_device=False, warmup_ratio=0.0, warmup_steps=500, weight_decay=0.0, xpu_backend=None, ) 12/20/2022 15:25:59 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _n_gpu=1, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, auto_find_batch_size=False, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_pin_memory=True, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, ddp_timeout=1800, debug=[], deepspeed=ds_config.json, disable_tqdm=False, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=1000, evaluation_strategy=steps, fp16=True, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, fsdp=[], fsdp_min_num_params=0, fsdp_transformer_layer_cls_to_wrap=None, full_determinism=False, generation_max_length=225, generation_num_beams=None, gradient_accumulation_steps=1, gradient_checkpointing=True, greater_is_better=False, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, hub_token=, ignore_data_skip=False, include_inputs_for_metrics=False, jit_mode_eval=False, label_names=None, label_smoothing_factor=0.0, learning_rate=1e-05, length_column_name=input_length, load_best_model_at_end=True, local_rank=0, log_level=passive, log_level_replica=passive, log_on_each_node=True, logging_dir=./runs/Dec20_15-25-59_129-146-65-51, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=20000, metric_for_best_model=wer, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, optim_args=None, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=32, per_device_train_batch_size=64, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, torchdynamo=None, tpu_metrics_debug=False, tpu_num_cores=None, use_ipex=False, use_legacy_prediction_loop=False, use_mps_device=False, warmup_ratio=0.0, warmup_steps=500, weight_decay=0.0, xpu_backend=None, ) language-and-voice-lab/samromur_asr None train 12/20/2022 15:26:01 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_asr/samromur_asr 12/20/2022 15:26:01 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_asr/9f4b7a0674ad04192814f8e840dbdab23e8c4531498341198a39447a7e64e3b7 language-and-voice-lab/althingi_asr None train 12/20/2022 15:26:03 - INFO - datasets.builder - No config specified, defaulting to the single config: althingi_asr/althingi_asr 12/20/2022 15:26:03 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--althingi_asr/4fdbd9c08f7d073eeb89906cb5aa0e1e6bab822aa994474c639f8e8442a61bcf language-and-voice-lab/althingi_asr None validation 12/20/2022 15:26:05 - INFO - datasets.builder - No config specified, defaulting to the single config: althingi_asr/althingi_asr 12/20/2022 15:26:05 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--althingi_asr/4fdbd9c08f7d073eeb89906cb5aa0e1e6bab822aa994474c639f8e8442a61bcf language-and-voice-lab/malromur_asr None train 12/20/2022 15:26:07 - INFO - datasets.builder - No config specified, defaulting to the single config: malromur_asr/malromur_asr 12/20/2022 15:26:07 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--malromur_asr/5084bd18db918163bfb6f3f09550dff5c0106bfc56985978e6f682f52690816d language-and-voice-lab/malromur_asr None validation 12/20/2022 15:26:09 - INFO - datasets.builder - No config specified, defaulting to the single config: malromur_asr/malromur_asr 12/20/2022 15:26:09 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--malromur_asr/5084bd18db918163bfb6f3f09550dff5c0106bfc56985978e6f682f52690816d language-and-voice-lab/samromur_children None train 12/20/2022 15:26:11 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_children/samromur_children 12/20/2022 15:26:11 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_children/0cde4367323adbaea6845954c908aec8bcd001520628d49577421d0776d9939d language-and-voice-lab/samromur_children None validation 12/20/2022 15:26:13 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_children/samromur_children 12/20/2022 15:26:13 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_children/0cde4367323adbaea6845954c908aec8bcd001520628d49577421d0776d9939d language-and-voice-lab/raddromur_asr None train 12/20/2022 15:26:15 - INFO - datasets.builder - No config specified, defaulting to the single config: raddromur_asr/raddromur_asr 12/20/2022 15:26:15 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--raddromur_asr/ad967117dc1846f4100ee0ecfc31859ea6743068904a5ee705ebc400b10c49d7 12/20/2022 15:26:17 - INFO - datasets.builder - No config specified, defaulting to the single config: samromur_asr/samromur_asr 12/20/2022 15:26:17 - INFO - datasets.info - Loading Dataset Infos from /home/ubuntu/.cache/huggingface/modules/datasets_modules/datasets/language-and-voice-lab--samromur_asr/9f4b7a0674ad04192814f8e840dbdab23e8c4531498341198a39447a7e64e3b7 [INFO|configuration_utils.py:654] 2022-12-20 15:26:18,054 >> loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/config.json [INFO|configuration_utils.py:706] 2022-12-20 15:26:18,058 >> Model config WhisperConfig { "_name_or_path": "openai/whisper-medium", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": [ "WhisperForConditionalGeneration" ], "attention_dropout": 0.0, "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 24, "decoder_start_token_id": 50258, "dropout": 0.0, "encoder_attention_heads": 16, "encoder_ffn_dim": 4096, "encoder_layerdrop": 0.0, "encoder_layers": 24, "eos_token_id": 50257, "forced_decoder_ids": [ [ 1, 50259 ], [ 2, 50359 ], [ 3, 50363 ] ], "init_std": 0.02, "is_encoder_decoder": true, "max_length": 448, "max_source_positions": 1500, "max_target_positions": 448, "model_type": "whisper", "num_hidden_layers": 24, "num_mel_bins": 80, "pad_token_id": 50257, "scale_embedding": false, "suppress_tokens": [ 1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50360, 50361, 50362 ], "torch_dtype": "float32", "transformers_version": "4.26.0.dev0", "use_cache": true, "vocab_size": 51865 } [INFO|feature_extraction_utils.py:464] 2022-12-20 15:26:18,297 >> loading configuration file preprocessor_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/preprocessor_config.json [INFO|feature_extraction_utils.py:501] 2022-12-20 15:26:18,312 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "mel_filters": [ [ -0.0, 0.02486259490251541, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.001990821911022067, 0.022871771827340126, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.003981643822044134, 0.02088095061480999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0059724655002355576, 0.018890129402279854, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.007963287644088268, 0.01689930632710457, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.009954108856618404, 0.014908484183251858, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011944931000471115, 0.012917662039399147, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013935752213001251, 0.010926840826869011, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015926575288176537, 0.0089360186830163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017917396500706673, 0.006945197004824877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01990821771323681, 0.004954374860972166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021899040788412094, 0.0029635531827807426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02388986200094223, 0.0009727313299663365, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025880683213472366, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025835324078798294, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010180906392633915, 0.023844502866268158, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003008912317454815, 0.021853681653738022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004999734461307526, 0.019862858578562737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006990555673837662, 0.0178720373660326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008981377817690372, 0.015881216153502464, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010972199961543083, 0.013890394009649754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01296302117407322, 0.011899571865797043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01495384331792593, 0.009908749721944332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694466546177864, 0.007917927578091621, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018935488536953926, 0.005927106365561485, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020874010398983955, 0.004040425643324852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022114217281341553, 0.0033186059445142746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02173672430217266, 0.0036109676584601402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020497702062129974, 0.004762193653732538, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018486659973859787, 0.006592618301510811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01585603691637516, 0.00896277092397213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012738768011331558, 0.011751330457627773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009250369854271412, 0.014853144995868206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005490840878337622, 0.018177473917603493, 0.0028155462350696325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0015463664894923568, 0.01632951945066452, 0.007420188747346401, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011181050911545753, 0.012018864043056965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006065350491553545, 0.016561277210712433, 0.004360878840088844, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010297985281795263, 0.012770536355674267, 0.009707189165055752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006986402906477451, 0.01485429983586073, 0.004391219466924667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001418047584593296, 0.011486922390758991, 0.010089744813740253, 0.00040022286702878773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005411104764789343, 0.014735566452145576, 0.006518189795315266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00827841367572546, 0.012277561239898205, 0.00396781275048852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002187808509916067, 0.010184479877352715, 0.00998187530785799, 0.0022864851634949446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00386943481862545, 0.011274894699454308, 0.008466221392154694, 0.0013397691072896123, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004820294212549925, 0.011678251437842846, 0.007608682848513126, 0.0010091039584949613, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005156961735337973, 0.011507894843816757, 0.007301822770386934, 0.0011901655234396458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004982104524970055, 0.010863498784601688, 0.007451189681887627, 0.001791381393559277, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004385921638458967, 0.009832492098212242, 0.007973956875503063, 0.002732589840888977, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034474546555429697, 0.008491347543895245, 0.008797688409686089, 0.00394382793456316, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0022357646375894547, 0.0069067515432834625, 0.009859241545200348, 0.005364237818866968, 0.0008692338014952838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008110002381727099, 0.005136650986969471, 0.00946230161935091, 0.0069410777650773525, 0.0027783995028585196, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003231203882023692, 0.007237049750983715, 0.00862883497029543, 0.004773912951350212, 0.0009189908159896731, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001233637798577547, 0.0049433219246566296, 0.008653006516397, 0.006818502210080624, 0.003248583758249879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026164355222135782, 0.006051854696124792, 0.008880467154085636, 0.005574479699134827, 0.002268492942675948, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002863667905330658, 0.003467798000201583, 0.0066492292098701, 0.00787146482616663, 0.004809896927326918, 0.0017483289120718837, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0009245910914614797, 0.0038708120118826628, 0.00681703258305788, 0.007283343467861414, 0.004448124207556248, 0.0016129047144204378, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011703289346769452, 0.003898728871718049, 0.006627128925174475, 0.0070473202504217625, 0.004421714693307877, 0.0017961094854399562, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010892992140725255, 0.003615982597693801, 0.006142666097730398, 0.007102936040610075, 0.004671447444707155, 0.002239959081634879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007392280967906117, 0.0030791081953793764, 0.005418988410383463, 0.007397185545414686, 0.005145462695509195, 0.002893739379942417, 0.0006420162972062826, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00017068670422304422, 0.0023375742603093386, 0.004504461772739887, 0.0066713495180010796, 0.005798479542136192, 0.003713231300935149, 0.0016279831761494279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014345343224704266, 0.0034412189852446318, 0.005447904113680124, 0.006591092795133591, 0.004660011734813452, 0.002728930441662669, 0.0007978491485118866, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0004075043834745884, 0.002265830524265766, 0.004124156199395657, 0.005982482805848122, 0.005700822453945875, 0.003912510350346565, 0.0021241982467472553, 0.0003358862304594368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010099108330905437, 0.002730846870690584, 0.004451782442629337, 0.006172718480229378, 0.005150905344635248, 0.0034948070533573627, 0.0018387088784947991, 0.0001826105872169137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0012943691108375788, 0.002888072282075882, 0.004481775686144829, 0.006075479090213776, 0.0048866597935557365, 0.003353001084178686, 0.0018193417927250266, 0.00028568264679051936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013131388695910573, 0.0027890161145478487, 0.004264893010258675, 0.0057407706044614315, 0.004859979264438152, 0.0034397069830447435, 0.0020194342359900475, 0.0005991620710119605, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011121684219688177, 0.002478930866345763, 0.0038456933107227087, 0.0052124555222690105, 0.005028639920055866, 0.0037133716978132725, 0.002398103242740035, 0.0010828346712514758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007317548734135926, 0.0019974694587290287, 0.003263183869421482, 0.004528898745775223, 0.005355686880648136, 0.004137659445405006, 0.0029196315445005894, 0.0017016039928421378, 0.0004835762665607035, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00020713974663522094, 0.0013792773243039846, 0.0025514145381748676, 0.003723552217707038, 0.004895689897239208, 0.004680895246565342, 0.0035529187880456448, 0.0024249425623565912, 0.0012969663366675377, 0.00016899015463422984, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006545265205204487, 0.0017400053329765797, 0.0028254841454327106, 0.003910962492227554, 0.004996441304683685, 0.0042709787376224995, 0.003226396394893527, 0.002181813819333911, 0.0011372314766049385, 9.264905384043232e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000854626705404371, 0.001859853626228869, 0.002865080488845706, 0.003870307235047221, 0.00487553421407938, 0.00408313749358058, 0.003115783678367734, 0.0021484296303242445, 0.001181075582280755, 0.0002137213887181133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008483415003865957, 0.0017792496364563704, 0.0027101580053567886, 0.0036410661414265633, 0.004571974277496338, 0.004079728852957487, 0.003183893393725157, 0.002288057701662183, 0.0013922222424298525, 0.0004963868414051831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006716204807162285, 0.0015337044605985284, 0.002395788673311472, 0.0032578727696090937, 0.004119956865906715, 0.004227725323289633, 0.0033981208689510822, 0.0025685166474431753, 0.0017389123095199466, 0.0009093079133890569, 7.970355363795534e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003559796023182571, 0.0011543278815224767, 0.0019526762189343572, 0.002751024439930916, 0.0035493727773427963, 0.004347721114754677, 0.0037299629766494036, 0.002961693098768592, 0.00219342322088778, 0.0014251532265916467, 0.0006568834069184959, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006682946113869548, 0.0014076193328946829, 0.0021469437051564455, 0.002886268775910139, 0.0036255933810025454, 0.004154576454311609, 0.0034431067761033773, 0.0027316368650645018, 0.0020201667211949825, 0.0013086966937407851, 0.0005972267827019095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.926508937496692e-05, 0.0007839298341423273, 0.001468594535253942, 0.0021532592363655567, 0.0028379240538924932, 0.0035225888714194298, 0.0039915177039802074, 0.0033326479606330395, 0.002673778682947159, 0.002014909405261278, 0.0013560398947447538, 0.0006971705006435513, 3.8301113818306476e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00010181095422012731, 0.0007358568836934865, 0.0013699028640985489, 0.0020039486698806286, 0.002637994708493352, 0.0032720407471060753, 0.003906086552888155, 0.0033682563807815313, 0.0027580985333770514, 0.002147940918803215, 0.0015377833042293787, 0.0009276255150325596, 0.000317467754939571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005530364578589797, 0.0011402058880776167, 0.0017273754347115755, 0.0023145449813455343, 0.002901714527979493, 0.003488884074613452, 0.003523340215906501, 0.002958292607218027, 0.002393245231360197, 0.0018281979719176888, 0.001263150479644537, 0.0006981031037867069, 0.0001330557424807921, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002608386566862464, 0.0008045974536798894, 0.0013483562506735325, 0.0018921148730441928, 0.0024358737282454967, 0.002979632467031479, 0.003523391205817461, 0.003251380519941449, 0.0027281083166599274, 0.002204835880547762, 0.001681563793681562, 0.001158291706815362, 0.0006350195035338402, 0.00011174729297636077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003849811910185963, 0.0008885387214832008, 0.001392096164636314, 0.0018956535495817661, 0.00239921105094254, 0.002902768552303314, 0.0034063260536640882, 0.003132763085886836, 0.0026481777895241976, 0.0021635922603309155, 0.0016790067311376333, 0.0011944210855290294, 0.0007098356145434082, 0.00022525011445395648, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000366741674952209, 0.0008330700220540166, 0.0012993983691558242, 0.0017657268326729536, 0.0022320549469441175, 0.002698383294045925, 0.0031647118739783764, 0.003141313325613737, 0.002692554146051407, 0.0022437951993197203, 0.00179503601975739, 0.0013462770730257034, 0.000897518009878695, 0.0004487590049393475, 0.0 ] ], "n_fft": 400, "n_samples": 480000, "nb_max_frames": 3000, "padding_side": "right", "padding_value": 0.0, "processor_class": "WhisperProcessor", "return_attention_mask": false, "sampling_rate": 16000 } [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file vocab.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/vocab.json [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file tokenizer.json from cache at None [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file merges.txt from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/merges.txt [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file normalizer.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/normalizer.json [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file added_tokens.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/added_tokens.json [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file special_tokens_map.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/special_tokens_map.json [INFO|tokenization_utils_base.py:1799] 2022-12-20 15:26:18,550 >> loading file tokenizer_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/tokenizer_config.json [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,608 >> Adding <|endoftext|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|iw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,609 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,610 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,611 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:18,612 >> Adding <|notimestamps|> to the vocabulary [INFO|modeling_utils.py:2264] 2022-12-20 15:26:18,616 >> loading weights file pytorch_model.bin from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/pytorch_model.bin [INFO|configuration_utils.py:523] 2022-12-20 15:26:19,614 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|modeling_utils.py:2842] 2022-12-20 15:26:26,925 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. [INFO|modeling_utils.py:2850] 2022-12-20 15:26:26,926 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. [INFO|modeling_utils.py:2511] 2022-12-20 15:26:27,188 >> Generation config file not found, using a generation config created from the model config. [INFO|feature_extraction_utils.py:368] 2022-12-20 15:26:29,335 >> Feature extractor saved in ./preprocessor_config.json [INFO|tokenization_utils_base.py:2157] 2022-12-20 15:26:29,336 >> tokenizer config file saved in ./tokenizer_config.json [INFO|tokenization_utils_base.py:2164] 2022-12-20 15:26:29,336 >> Special tokens file saved in ./special_tokens_map.json [INFO|tokenization_utils_base.py:2210] 2022-12-20 15:26:29,336 >> added tokens file saved in ./added_tokens.json [INFO|configuration_utils.py:447] 2022-12-20 15:26:29,415 >> Configuration saved in ./config.json [INFO|image_processing_utils.py:294] 2022-12-20 15:26:29,417 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:462] 2022-12-20 15:26:29,421 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:501] 2022-12-20 15:26:29,436 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "mel_filters": [ [ -0.0, 0.02486259490251541, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.001990821911022067, 0.022871771827340126, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.003981643822044134, 0.02088095061480999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0059724655002355576, 0.018890129402279854, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.007963287644088268, 0.01689930632710457, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.009954108856618404, 0.014908484183251858, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011944931000471115, 0.012917662039399147, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013935752213001251, 0.010926840826869011, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015926575288176537, 0.0089360186830163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017917396500706673, 0.006945197004824877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01990821771323681, 0.004954374860972166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021899040788412094, 0.0029635531827807426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02388986200094223, 0.0009727313299663365, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025880683213472366, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025835324078798294, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010180906392633915, 0.023844502866268158, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003008912317454815, 0.021853681653738022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004999734461307526, 0.019862858578562737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006990555673837662, 0.0178720373660326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008981377817690372, 0.015881216153502464, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010972199961543083, 0.013890394009649754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01296302117407322, 0.011899571865797043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01495384331792593, 0.009908749721944332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694466546177864, 0.007917927578091621, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018935488536953926, 0.005927106365561485, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020874010398983955, 0.004040425643324852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022114217281341553, 0.0033186059445142746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02173672430217266, 0.0036109676584601402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020497702062129974, 0.004762193653732538, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018486659973859787, 0.006592618301510811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01585603691637516, 0.00896277092397213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012738768011331558, 0.011751330457627773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009250369854271412, 0.014853144995868206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005490840878337622, 0.018177473917603493, 0.0028155462350696325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0015463664894923568, 0.01632951945066452, 0.007420188747346401, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011181050911545753, 0.012018864043056965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006065350491553545, 0.016561277210712433, 0.004360878840088844, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010297985281795263, 0.012770536355674267, 0.009707189165055752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006986402906477451, 0.01485429983586073, 0.004391219466924667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001418047584593296, 0.011486922390758991, 0.010089744813740253, 0.00040022286702878773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005411104764789343, 0.014735566452145576, 0.006518189795315266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00827841367572546, 0.012277561239898205, 0.00396781275048852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002187808509916067, 0.010184479877352715, 0.00998187530785799, 0.0022864851634949446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00386943481862545, 0.011274894699454308, 0.008466221392154694, 0.0013397691072896123, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004820294212549925, 0.011678251437842846, 0.007608682848513126, 0.0010091039584949613, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005156961735337973, 0.011507894843816757, 0.007301822770386934, 0.0011901655234396458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004982104524970055, 0.010863498784601688, 0.007451189681887627, 0.001791381393559277, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004385921638458967, 0.009832492098212242, 0.007973956875503063, 0.002732589840888977, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034474546555429697, 0.008491347543895245, 0.008797688409686089, 0.00394382793456316, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0022357646375894547, 0.0069067515432834625, 0.009859241545200348, 0.005364237818866968, 0.0008692338014952838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008110002381727099, 0.005136650986969471, 0.00946230161935091, 0.0069410777650773525, 0.0027783995028585196, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003231203882023692, 0.007237049750983715, 0.00862883497029543, 0.004773912951350212, 0.0009189908159896731, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001233637798577547, 0.0049433219246566296, 0.008653006516397, 0.006818502210080624, 0.003248583758249879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026164355222135782, 0.006051854696124792, 0.008880467154085636, 0.005574479699134827, 0.002268492942675948, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002863667905330658, 0.003467798000201583, 0.0066492292098701, 0.00787146482616663, 0.004809896927326918, 0.0017483289120718837, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0009245910914614797, 0.0038708120118826628, 0.00681703258305788, 0.007283343467861414, 0.004448124207556248, 0.0016129047144204378, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011703289346769452, 0.003898728871718049, 0.006627128925174475, 0.0070473202504217625, 0.004421714693307877, 0.0017961094854399562, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010892992140725255, 0.003615982597693801, 0.006142666097730398, 0.007102936040610075, 0.004671447444707155, 0.002239959081634879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007392280967906117, 0.0030791081953793764, 0.005418988410383463, 0.007397185545414686, 0.005145462695509195, 0.002893739379942417, 0.0006420162972062826, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00017068670422304422, 0.0023375742603093386, 0.004504461772739887, 0.0066713495180010796, 0.005798479542136192, 0.003713231300935149, 0.0016279831761494279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014345343224704266, 0.0034412189852446318, 0.005447904113680124, 0.006591092795133591, 0.004660011734813452, 0.002728930441662669, 0.0007978491485118866, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0004075043834745884, 0.002265830524265766, 0.004124156199395657, 0.005982482805848122, 0.005700822453945875, 0.003912510350346565, 0.0021241982467472553, 0.0003358862304594368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010099108330905437, 0.002730846870690584, 0.004451782442629337, 0.006172718480229378, 0.005150905344635248, 0.0034948070533573627, 0.0018387088784947991, 0.0001826105872169137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0012943691108375788, 0.002888072282075882, 0.004481775686144829, 0.006075479090213776, 0.0048866597935557365, 0.003353001084178686, 0.0018193417927250266, 0.00028568264679051936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013131388695910573, 0.0027890161145478487, 0.004264893010258675, 0.0057407706044614315, 0.004859979264438152, 0.0034397069830447435, 0.0020194342359900475, 0.0005991620710119605, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011121684219688177, 0.002478930866345763, 0.0038456933107227087, 0.0052124555222690105, 0.005028639920055866, 0.0037133716978132725, 0.002398103242740035, 0.0010828346712514758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007317548734135926, 0.0019974694587290287, 0.003263183869421482, 0.004528898745775223, 0.005355686880648136, 0.004137659445405006, 0.0029196315445005894, 0.0017016039928421378, 0.0004835762665607035, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00020713974663522094, 0.0013792773243039846, 0.0025514145381748676, 0.003723552217707038, 0.004895689897239208, 0.004680895246565342, 0.0035529187880456448, 0.0024249425623565912, 0.0012969663366675377, 0.00016899015463422984, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006545265205204487, 0.0017400053329765797, 0.0028254841454327106, 0.003910962492227554, 0.004996441304683685, 0.0042709787376224995, 0.003226396394893527, 0.002181813819333911, 0.0011372314766049385, 9.264905384043232e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000854626705404371, 0.001859853626228869, 0.002865080488845706, 0.003870307235047221, 0.00487553421407938, 0.00408313749358058, 0.003115783678367734, 0.0021484296303242445, 0.001181075582280755, 0.0002137213887181133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008483415003865957, 0.0017792496364563704, 0.0027101580053567886, 0.0036410661414265633, 0.004571974277496338, 0.004079728852957487, 0.003183893393725157, 0.002288057701662183, 0.0013922222424298525, 0.0004963868414051831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006716204807162285, 0.0015337044605985284, 0.002395788673311472, 0.0032578727696090937, 0.004119956865906715, 0.004227725323289633, 0.0033981208689510822, 0.0025685166474431753, 0.0017389123095199466, 0.0009093079133890569, 7.970355363795534e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003559796023182571, 0.0011543278815224767, 0.0019526762189343572, 0.002751024439930916, 0.0035493727773427963, 0.004347721114754677, 0.0037299629766494036, 0.002961693098768592, 0.00219342322088778, 0.0014251532265916467, 0.0006568834069184959, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006682946113869548, 0.0014076193328946829, 0.0021469437051564455, 0.002886268775910139, 0.0036255933810025454, 0.004154576454311609, 0.0034431067761033773, 0.0027316368650645018, 0.0020201667211949825, 0.0013086966937407851, 0.0005972267827019095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.926508937496692e-05, 0.0007839298341423273, 0.001468594535253942, 0.0021532592363655567, 0.0028379240538924932, 0.0035225888714194298, 0.0039915177039802074, 0.0033326479606330395, 0.002673778682947159, 0.002014909405261278, 0.0013560398947447538, 0.0006971705006435513, 3.8301113818306476e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00010181095422012731, 0.0007358568836934865, 0.0013699028640985489, 0.0020039486698806286, 0.002637994708493352, 0.0032720407471060753, 0.003906086552888155, 0.0033682563807815313, 0.0027580985333770514, 0.002147940918803215, 0.0015377833042293787, 0.0009276255150325596, 0.000317467754939571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005530364578589797, 0.0011402058880776167, 0.0017273754347115755, 0.0023145449813455343, 0.002901714527979493, 0.003488884074613452, 0.003523340215906501, 0.002958292607218027, 0.002393245231360197, 0.0018281979719176888, 0.001263150479644537, 0.0006981031037867069, 0.0001330557424807921, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002608386566862464, 0.0008045974536798894, 0.0013483562506735325, 0.0018921148730441928, 0.0024358737282454967, 0.002979632467031479, 0.003523391205817461, 0.003251380519941449, 0.0027281083166599274, 0.002204835880547762, 0.001681563793681562, 0.001158291706815362, 0.0006350195035338402, 0.00011174729297636077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003849811910185963, 0.0008885387214832008, 0.001392096164636314, 0.0018956535495817661, 0.00239921105094254, 0.002902768552303314, 0.0034063260536640882, 0.003132763085886836, 0.0026481777895241976, 0.0021635922603309155, 0.0016790067311376333, 0.0011944210855290294, 0.0007098356145434082, 0.00022525011445395648, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000366741674952209, 0.0008330700220540166, 0.0012993983691558242, 0.0017657268326729536, 0.0022320549469441175, 0.002698383294045925, 0.0031647118739783764, 0.003141313325613737, 0.002692554146051407, 0.0022437951993197203, 0.00179503601975739, 0.0013462770730257034, 0.000897518009878695, 0.0004487590049393475, 0.0 ] ], "n_fft": 400, "n_samples": 480000, "nb_max_frames": 3000, "padding_side": "right", "padding_value": 0.0, "processor_class": "WhisperProcessor", "return_attention_mask": false, "sampling_rate": 16000 } [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file vocab.json [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file tokenizer.json [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file merges.txt [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file normalizer.json [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file added_tokens.json [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file special_tokens_map.json [INFO|tokenization_utils_base.py:1797] 2022-12-20 15:26:29,436 >> loading file tokenizer_config.json [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,489 >> Adding <|endoftext|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|iw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,490 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,491 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,492 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-20 15:26:29,493 >> Adding <|notimestamps|> to the vocabulary /home/ubuntu/whisper-medium-is/./ is already a clone of https://huggingface.co/DavidErikMollberg/whisper-medium-is. Make sure you pull the latest changes with `repo.git_pull()`. 12/20/2022 15:26:30 - WARNING - huggingface_hub.repository - /home/ubuntu/whisper-medium-is/./ is already a clone of https://huggingface.co/DavidErikMollberg/whisper-medium-is. Make sure you pull the latest changes with `repo.git_pull()`. [INFO|trainer.py:511] 2022-12-20 15:26:33,941 >> max_steps is given, it will override any value given in num_train_epochs [INFO|trainer.py:565] 2022-12-20 15:26:33,942 >> Using cuda_amp half precision backend [2022-12-20 15:26:33,946] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.7, git-hash=unknown, git-branch=unknown [2022-12-20 15:26:34,674] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False [2022-12-20 15:26:35,840] [WARNING] [cpu_adam.py:83:__init__] FP16 params for CPUAdam may not work on AMD CPUs Installed CUDA version 11.6 does not match the version torch was compiled with 11.7 but since the APIs are compatible, accepting this combination Using /home/ubuntu/.cache/torch_extensions/py39_cu117 as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /home/ubuntu/.cache/torch_extensions/py39_cu117/cpu_adam/build.ninja... Building extension module cpu_adam... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module cpu_adam... Time to load cpu_adam op: 2.733916997909546 seconds Adam Optimizer #0 is created with AVX2 arithmetic capability. Config: alpha=0.000010, betas=(0.900000, 0.999000), weight_decay=0.000000, adam_w=1 [2022-12-20 15:26:40,204] [INFO] [logging.py:68:log_dist] [Rank 0] Using DeepSpeed Optimizer param name adamw as basic optimizer [2022-12-20 15:26:40,384] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = DeepSpeedCPUAdam [2022-12-20 15:26:40,384] [INFO] [utils.py:52:is_zero_supported_optimizer] Checking ZeRO support for optimizer=DeepSpeedCPUAdam type= [2022-12-20 15:26:40,384] [INFO] [logging.py:68:log_dist] [Rank 0] Creating fp16 ZeRO stage 2 optimizer [2022-12-20 15:26:40,384] [INFO] [stage_1_and_2.py:140:__init__] Reduce bucket size 200000000 [2022-12-20 15:26:40,385] [INFO] [stage_1_and_2.py:141:__init__] Allgather bucket size 200000000 [2022-12-20 15:26:40,385] [INFO] [stage_1_and_2.py:142:__init__] CPU Offload: True [2022-12-20 15:26:40,385] [INFO] [stage_1_and_2.py:143:__init__] Round robin gradient partitioning: False Using /home/ubuntu/.cache/torch_extensions/py39_cu117 as PyTorch extensions root... Emitting ninja build file /home/ubuntu/.cache/torch_extensions/py39_cu117/utils/build.ninja... Building extension module utils... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module utils... Time to load utils op: 0.3415400981903076 seconds Rank: 0 partition count [1] and sizes[(763857920, False)] [2022-12-20 15:26:42,459] [INFO] [utils.py:827:see_memory_usage] Before initializing optimizer states [2022-12-20 15:26:42,459] [INFO] [utils.py:828:see_memory_usage] MA 1.52 GB Max_MA 1.52 GB CA 2.86 GB Max_CA 3 GB [2022-12-20 15:26:42,460] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 11.42 GB, percent = 5.8% [2022-12-20 15:26:44,421] [INFO] [utils.py:827:see_memory_usage] After initializing optimizer states [2022-12-20 15:26:44,421] [INFO] [utils.py:828:see_memory_usage] MA 1.52 GB Max_MA 1.52 GB CA 2.86 GB Max_CA 3 GB [2022-12-20 15:26:44,421] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 21.19 GB, percent = 10.8% [2022-12-20 15:26:44,422] [INFO] [stage_1_and_2.py:525:__init__] optimizer state initialized [2022-12-20 15:26:44,491] [INFO] [utils.py:827:see_memory_usage] After initializing ZeRO optimizer [2022-12-20 15:26:44,492] [INFO] [utils.py:828:see_memory_usage] MA 1.52 GB Max_MA 1.52 GB CA 2.86 GB Max_CA 3 GB [2022-12-20 15:26:44,492] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 21.19 GB, percent = 10.8% [2022-12-20 15:26:44,510] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = adamw [2022-12-20 15:26:44,510] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using configured LR scheduler = WarmupDecayLR [2022-12-20 15:26:44,510] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = [2022-12-20 15:26:44,511] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[1e-05], mom=[[0.9, 0.999]] [2022-12-20 15:26:44,512] [INFO] [config.py:1020:print] DeepSpeedEngine configuration: [2022-12-20 15:26:44,512] [INFO] [config.py:1024:print] activation_checkpointing_config { "partition_activations": false, "contiguous_memory_optimization": false, "cpu_checkpointing": false, "number_checkpoints": null, "synchronize_checkpoint_boundary": false, "profile": false } [2022-12-20 15:26:44,512] [INFO] [config.py:1024:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} [2022-12-20 15:26:44,512] [INFO] [config.py:1024:print] amp_enabled .................. False [2022-12-20 15:26:44,512] [INFO] [config.py:1024:print] amp_params ................... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] autotuning_config ............ { "enabled": false, "start_step": null, "end_step": null, "metric_path": null, "arg_mappings": null, "metric": "throughput", "model_info": null, "results_dir": "autotuning_results", "exps_dir": "autotuning_exps", "overwrite": true, "fast": true, "start_profile_step": 3, "end_profile_step": 5, "tuner_type": "gridsearch", "tuner_early_stopping": 5, "tuner_num_trials": 50, "model_info_path": null, "mp_size": 1, "max_train_batch_size": null, "min_train_batch_size": 1, "max_train_micro_batch_size_per_gpu": 1.024000e+03, "min_train_micro_batch_size_per_gpu": 1, "num_tuning_micro_batch_sizes": 3 } [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] bfloat16_enabled ............. False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] checkpoint_parallel_write_pipeline False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] checkpoint_tag_validation_enabled True [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] checkpoint_tag_validation_fail False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] comms_config ................. [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] communication_data_type ...... None [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] curriculum_enabled ........... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] curriculum_params ............ False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] dataloader_drop_last ......... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] disable_allgather ............ False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] dump_state ................... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] dynamic_loss_scale_args ...... {'init_scale': 65536, 'scale_window': 1000, 'delayed_shift': 2, 'min_scale': 1} [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_enabled ........... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_gas_boundary_resolution 1 [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_layer_name ........ bert.encoder.layer [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_layer_num ......... 0 [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_max_iter .......... 100 [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_stability ......... 1e-06 [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_tol ............... 0.01 [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] eigenvalue_verbose ........... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] elasticity_enabled ........... False [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] flops_profiler_config ........ { "enabled": false, "profile_step": 1, "module_depth": -1, "top_modules": 1, "detailed": true, "output_file": null } [2022-12-20 15:26:44,513] [INFO] [config.py:1024:print] fp16_auto_cast ............... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] fp16_enabled ................. True [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] fp16_master_weights_and_gradients False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] global_rank .................. 0 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] grad_accum_dtype ............. None [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] gradient_accumulation_steps .. 1 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] gradient_clipping ............ 1.0 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] gradient_predivide_factor .... 1.0 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] initial_dynamic_scale ........ 65536 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] load_universal_checkpoint .... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] loss_scale ................... 0 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] memory_breakdown ............. False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] monitor_config ............... [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] nebula_config ................ { "enabled": false, "persistent_storage_path": null, "persistent_time_interval": 100, "num_of_version_in_retention": 2, "enable_nebula_load": true, "load_path": null } [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] optimizer_legacy_fusion ...... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] optimizer_name ............... adamw [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] optimizer_params ............. {'lr': 1e-05, 'betas': [0.9, 0.999], 'eps': 1e-08, 'weight_decay': 0.0} [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] pld_enabled .................. False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] pld_params ................... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] prescale_gradients ........... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] scheduler_name ............... WarmupDecayLR [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] scheduler_params ............. {'last_batch_iteration': -1, 'total_num_steps': 20000, 'warmup_min_lr': 0, 'warmup_max_lr': 1e-05, 'warmup_num_steps': 500} [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] sparse_attention ............. None [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] sparse_gradients_enabled ..... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] steps_per_print .............. 10 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] train_batch_size ............. 64 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] train_micro_batch_size_per_gpu 64 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] use_node_local_storage ....... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] wall_clock_breakdown ......... False [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] world_size ................... 1 [2022-12-20 15:26:44,514] [INFO] [config.py:1024:print] zero_allow_untested_optimizer False [2022-12-20 15:26:44,515] [INFO] [config.py:1024:print] zero_config .................. stage=2 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=200000000 allgather_partitions=True allgather_bucket_size=200000000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=DeepSpeedZeroOffloadOptimizerConfig(device='cpu', nvme_path=None, buffer_count=4, pin_memory=True, pipeline=False, pipeline_read=False, pipeline_write=False, fast_init=False) sub_group_size=1,000,000,000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50,000,000 param_persistence_threshold=100,000 model_persistence_threshold=sys.maxsize max_live_parameters=1,000,000,000 max_reuse_distance=1,000,000,000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False [2022-12-20 15:26:44,515] [INFO] [config.py:1024:print] zero_enabled ................. True [2022-12-20 15:26:44,515] [INFO] [config.py:1024:print] zero_optimization_stage ...... 2 [2022-12-20 15:26:44,515] [INFO] [config.py:1009:print_user_config] json = { "fp16": { "enabled": true, "loss_scale": 0, "loss_scale_window": 1000, "initial_scale_power": 16, "hysteresis": 2, "min_loss_scale": 1 }, "optimizer": { "type": "AdamW", "params": { "lr": 1e-05, "betas": [0.9, 0.999], "eps": 1e-08, "weight_decay": 0.0 } }, "scheduler": { "type": "WarmupDecayLR", "params": { "last_batch_iteration": -1, "total_num_steps": 2.000000e+04, "warmup_min_lr": 0, "warmup_max_lr": 1e-05, "warmup_num_steps": 500 } }, "zero_optimization": { "stage": 2, "offload_optimizer": { "device": "cpu", "pin_memory": true }, "allgather_partitions": true, "allgather_bucket_size": 2.000000e+08, "overlap_comm": true, "reduce_scatter": true, "reduce_bucket_size": 2.000000e+08, "contiguous_gradients": true }, "gradient_accumulation_steps": 1, "gradient_clipping": 1.0, "train_batch_size": 64, "train_micro_batch_size_per_gpu": 64 } Using /home/ubuntu/.cache/torch_extensions/py39_cu117 as PyTorch extensions root... No modifications detected for re-loaded extension module utils, skipping build step... Loading extension module utils... Time to load utils op: 0.00035643577575683594 seconds [INFO|trainer.py:1641] 2022-12-20 15:26:44,517 >> ***** Running training ***** [INFO|trainer.py:1642] 2022-12-20 15:26:44,517 >> Num examples = 1280000 [INFO|trainer.py:1643] 2022-12-20 15:26:44,517 >> Num Epochs = 9223372036854775807 [INFO|trainer.py:1644] 2022-12-20 15:26:44,517 >> Instantaneous batch size per device = 64 [INFO|trainer.py:1645] 2022-12-20 15:26:44,517 >> Total train batch size (w. parallel, distributed & accumulation) = 64 [INFO|trainer.py:1646] 2022-12-20 15:26:44,517 >> Gradient Accumulation steps = 1 [INFO|trainer.py:1647] 2022-12-20 15:26:44,517 >> Total optimization steps = 20000 [INFO|trainer.py:1648] 2022-12-20 15:26:44,520 >> Number of trainable parameters = 763857920 0%| | 0/20000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. [2022-12-20 15:27:46,849] [INFO] [stage_1_and_2.py:1765:step] [deepspeed] OVERFLOW! Rank 0 Skipping step. Attempted loss scale: 65536, reducing to 65536 0%| | 1/20000 [01:02<346:12:04, 62.32s/it][2022-12-20 15:27:56,828] [INFO] [stage_1_and_2.py:1765:step] [deepspeed] OVERFLOW! Rank 0 Skipping step. Attempted loss scale: 65536, reducing to 32768.0 0%| | 2/20000 [01:12<175:09:13, 31.53s/it][2022-12-20 15:28:06,509] [INFO] [timer.py:197:stop] 0/3, RunningAvgSamplesPerSec=10.70895854014206, CurrSamplesPerSec=10.70895854014206, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 3/20000 [01:21<119:43:27, 21.55s/it][2022-12-20 15:28:16,853] [INFO] [timer.py:197:stop] 0/4, RunningAvgSamplesPerSec=10.758326401862435, CurrSamplesPerSec=10.808151539259592, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 4/20000 [01:32<95:08:16, 17.13s/it] [2022-12-20 15:28:25,961] [INFO] [timer.py:197:stop] 0/5, RunningAvgSamplesPerSec=10.734744000574576, CurrSamplesPerSec=10.687888001906046, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 5/20000 [01:41<79:04:09, 14.24s/it][2022-12-20 15:28:35,110] [INFO] [timer.py:197:stop] 0/6, RunningAvgSamplesPerSec=10.783405257896879, CurrSamplesPerSec=10.932072537182565, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 6/20000 [01:50<69:27:37, 12.51s/it][2022-12-20 15:28:44,024] [INFO] [timer.py:197:stop] 0/7, RunningAvgSamplesPerSec=10.792129414922645, CurrSamplesPerSec=10.827167664376967, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 7/20000 [01:59<62:56:00, 11.33s/it][2022-12-20 15:28:53,208] [INFO] [timer.py:197:stop] 0/8, RunningAvgSamplesPerSec=10.829714117576577, CurrSamplesPerSec=11.021633997627541, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 8/20000 [02:08<59:07:56, 10.65s/it][2022-12-20 15:29:02,160] [INFO] [timer.py:197:stop] 0/9, RunningAvgSamplesPerSec=10.872584533435194, CurrSamplesPerSec=11.137108112390441, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 9/20000 [02:17<56:11:09, 10.12s/it][2022-12-20 15:29:11,051] [INFO] [logging.py:68:log_dist] [Rank 0] step=10, skipped=2, lr=[3.3460541819326935e-06], mom=[[0.9, 0.999]] [2022-12-20 15:29:11,052] [INFO] [timer.py:197:stop] 0/10, RunningAvgSamplesPerSec=10.873952842393672, CurrSamplesPerSec=10.883540656858989, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 10/20000 [02:26<54:04:50, 9.74s/it][2022-12-20 15:29:20,379] [INFO] [timer.py:197:stop] 0/11, RunningAvgSamplesPerSec=10.88260015500837, CurrSamplesPerSec=10.952276942418829, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 11/20000 [02:35<53:22:37, 9.61s/it][2022-12-20 15:29:29,950] [INFO] [timer.py:197:stop] 0/12, RunningAvgSamplesPerSec=10.791299977762566, CurrSamplesPerSec=10.033695757077288, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 12/20000 [02:45<53:18:11, 9.60s/it][2022-12-20 15:29:39,044] [INFO] [timer.py:197:stop] 0/13, RunningAvgSamplesPerSec=10.814000751877366, CurrSamplesPerSec=11.046374282301697, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 13/20000 [02:54<52:26:58, 9.45s/it][2022-12-20 15:29:48,492] [INFO] [timer.py:197:stop] 0/14, RunningAvgSamplesPerSec=10.817014156972668, CurrSamplesPerSec=10.850272795366429, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 14/20000 [03:03<52:26:53, 9.45s/it][2022-12-20 15:29:58,175] [INFO] [timer.py:197:stop] 0/15, RunningAvgSamplesPerSec=10.788712526383941, CurrSamplesPerSec=10.460292864322087, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 15/20000 [03:13<52:50:30, 9.52s/it][2022-12-20 15:30:07,258] [INFO] [timer.py:197:stop] 0/16, RunningAvgSamplesPerSec=10.803699678351808, CurrSamplesPerSec=11.00239147445321, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 16/20000 [03:22<52:06:35, 9.39s/it][2022-12-20 15:30:16,173] [INFO] [timer.py:197:stop] 0/17, RunningAvgSamplesPerSec=10.815334534507775, CurrSamplesPerSec=10.980894090788954, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 17/20000 [03:31<51:19:07, 9.25s/it][2022-12-20 15:30:25,058] [INFO] [timer.py:197:stop] 0/18, RunningAvgSamplesPerSec=10.825136158566007, CurrSamplesPerSec=10.974321802700644, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 18/20000 [03:40<50:42:57, 9.14s/it][2022-12-20 15:30:34,626] [INFO] [timer.py:197:stop] 0/19, RunningAvgSamplesPerSec=10.83661745208998, CurrSamplesPerSec=11.023687531071893, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 19/20000 [03:50<51:25:54, 9.27s/it][2022-12-20 15:30:45,839] [INFO] [logging.py:68:log_dist] [Rank 0] step=20, skipped=2, lr=[4.650931663140581e-06], mom=[[0.9, 0.999]] [2022-12-20 15:30:45,840] [INFO] [timer.py:197:stop] 0/20, RunningAvgSamplesPerSec=10.859268157458278, CurrSamplesPerSec=11.259351325558976, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 20/20000 [04:01<54:40:23, 9.85s/it][2022-12-20 15:30:56,883] [INFO] [timer.py:197:stop] 0/21, RunningAvgSamplesPerSec=10.833975464715861, CurrSamplesPerSec=10.398043566696227, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 21/20000 [04:12<56:39:24, 10.21s/it][2022-12-20 15:31:05,714] [INFO] [timer.py:197:stop] 0/22, RunningAvgSamplesPerSec=10.85021001407061, CurrSamplesPerSec=11.168181709442212, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 22/20000 [04:21<54:21:34, 9.80s/it][2022-12-20 15:31:18,136] [INFO] [timer.py:197:stop] 0/23, RunningAvgSamplesPerSec=10.852390469744812, CurrSamplesPerSec=10.896184363118122, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 23/20000 [04:33<58:43:49, 10.58s/it][2022-12-20 15:31:29,112] [INFO] [timer.py:197:stop] 0/24, RunningAvgSamplesPerSec=10.864982258297509, CurrSamplesPerSec=11.13632819784368, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 24/20000 [04:44<59:22:47, 10.70s/it][2022-12-20 15:31:39,472] [INFO] [timer.py:197:stop] 0/25, RunningAvgSamplesPerSec=10.86727411443485, CurrSamplesPerSec=10.917940712349528, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 25/20000 [04:54<58:48:31, 10.60s/it] {'loss': 1.2966, 'learning_rate': 5.0453611334320685e-06, 'epoch': 0.0} 0%| | 25/20000 [04:54<58:48:31, 10.60s/it][2022-12-20 15:31:50,395] [INFO] [timer.py:197:stop] 0/26, RunningAvgSamplesPerSec=10.882284554133047, CurrSamplesPerSec=11.23934490475662, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 26/20000 [05:05<59:20:44, 10.70s/it][2022-12-20 15:31:59,928] [INFO] [timer.py:197:stop] 0/27, RunningAvgSamplesPerSec=10.882587393853369, CurrSamplesPerSec=10.889860607100127, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 27/20000 [05:15<57:24:22, 10.35s/it][2022-12-20 15:32:08,723] [INFO] [timer.py:197:stop] 0/28, RunningAvgSamplesPerSec=10.8935513382632, CurrSamplesPerSec=11.175015300130465, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 28/20000 [05:24<54:49:15, 9.88s/it][2022-12-20 15:32:19,879] [INFO] [timer.py:197:stop] 0/29, RunningAvgSamplesPerSec=10.904925833120561, CurrSamplesPerSec=11.209232782591739, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 29/20000 [05:35<56:56:21, 10.26s/it][WARNING|tokenization_utils_base.py:3553] 2022-12-20 15:32:24,607 >> Token indices sequence length is longer than the specified maximum sequence length for this model (1057 > 1024). Running this sequence through the model will result in indexing errors [2022-12-20 15:32:31,707] [INFO] [logging.py:68:log_dist] [Rank 0] step=30, skipped=2, lr=[5.361890013661856e-06], mom=[[0.9, 0.999]] [2022-12-20 15:32:31,708] [INFO] [timer.py:197:stop] 0/30, RunningAvgSamplesPerSec=10.897042524416271, CurrSamplesPerSec=10.688419106521591, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 30/20000 [05:47<59:32:24, 10.73s/it][2022-12-20 15:32:40,640] [INFO] [timer.py:197:stop] 0/31, RunningAvgSamplesPerSec=10.892426422315268, CurrSamplesPerSec=10.76474475986782, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 31/20000 [05:56<56:32:25, 10.19s/it][2022-12-20 15:32:49,667] [INFO] [timer.py:197:stop] 0/32, RunningAvgSamplesPerSec=10.89378281985683, CurrSamplesPerSec=10.933265830827615, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 32/20000 [06:05<54:35:48, 9.84s/it][2022-12-20 15:32:59,621] [INFO] [timer.py:197:stop] 0/33, RunningAvgSamplesPerSec=10.89663945770994, CurrSamplesPerSec=10.983040767107438, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 33/20000 [06:15<54:46:42, 9.88s/it][2022-12-20 15:33:09,805] [INFO] [timer.py:197:stop] 0/34, RunningAvgSamplesPerSec=10.898546686383806, CurrSamplesPerSec=10.95800373176064, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 34/20000 [06:25<55:17:12, 9.97s/it][2022-12-20 15:33:20,111] [INFO] [timer.py:197:stop] 0/35, RunningAvgSamplesPerSec=10.89239194467561, CurrSamplesPerSec=10.69904547147383, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 35/20000 [06:35<55:51:23, 10.07s/it][2022-12-20 15:33:36,006] [INFO] [timer.py:197:stop] 0/36, RunningAvgSamplesPerSec=10.90603859409661, CurrSamplesPerSec=11.376388576274946, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 36/20000 [06:51<65:31:51, 11.82s/it][2022-12-20 15:33:45,771] [INFO] [timer.py:197:stop] 0/37, RunningAvgSamplesPerSec=10.908334183859706, CurrSamplesPerSec=10.986963381366843, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 37/20000 [07:01<62:06:52, 11.20s/it][2022-12-20 15:33:56,563] [INFO] [timer.py:197:stop] 0/38, RunningAvgSamplesPerSec=10.907740560622843, CurrSamplesPerSec=10.887004373653474, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 38/20000 [07:12<61:25:50, 11.08s/it][2022-12-20 15:34:07,600] [INFO] [timer.py:197:stop] 0/39, RunningAvgSamplesPerSec=10.903780304528285, CurrSamplesPerSec=10.763101583522666, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 39/20000 [07:23<61:21:26, 11.07s/it][2022-12-20 15:34:17,280] [INFO] [logging.py:68:log_dist] [Rank 0] step=40, skipped=2, lr=[5.853283267612517e-06], mom=[[0.9, 0.999]] [2022-12-20 15:34:17,280] [INFO] [timer.py:197:stop] 0/40, RunningAvgSamplesPerSec=10.910829310398398, CurrSamplesPerSec=11.178206675314613, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 40/20000 [07:32<59:03:00, 10.65s/it][2022-12-20 15:34:27,143] [INFO] [timer.py:197:stop] 0/41, RunningAvgSamplesPerSec=10.908029419181894, CurrSamplesPerSec=10.802688081387744, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 41/20000 [07:42<57:44:13, 10.41s/it][2022-12-20 15:34:37,770] [INFO] [timer.py:197:stop] 0/42, RunningAvgSamplesPerSec=10.909573691133145, CurrSamplesPerSec=10.97014324689697, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 42/20000 [07:53<58:05:19, 10.48s/it][2022-12-20 15:34:47,672] [INFO] [timer.py:197:stop] 0/43, RunningAvgSamplesPerSec=10.908482584201108, CurrSamplesPerSec=10.865016559878551, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 43/20000 [08:03<57:07:40, 10.31s/it][2022-12-20 15:34:58,531] [INFO] [timer.py:197:stop] 0/44, RunningAvgSamplesPerSec=10.904313725629773, CurrSamplesPerSec=10.736091688510967, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 44/20000 [08:14<58:02:42, 10.47s/it][2022-12-20 15:35:08,065] [INFO] [timer.py:197:stop] 0/45, RunningAvgSamplesPerSec=10.904148482461563, CurrSamplesPerSec=10.89721278889378, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 45/20000 [08:23<56:29:06, 10.19s/it][2022-12-20 15:35:19,345] [INFO] [timer.py:197:stop] 0/46, RunningAvgSamplesPerSec=10.899334945178339, CurrSamplesPerSec=10.696298246724153, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 46/20000 [08:34<58:17:36, 10.52s/it][2022-12-20 15:35:30,877] [INFO] [timer.py:197:stop] 0/47, RunningAvgSamplesPerSec=10.903397352963275, CurrSamplesPerSec=11.085191285762312, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 47/20000 [08:46<59:58:39, 10.82s/it][2022-12-20 15:35:41,424] [INFO] [timer.py:197:stop] 0/48, RunningAvgSamplesPerSec=10.899185582555347, CurrSamplesPerSec=10.712966109115266, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 48/20000 [08:56<59:31:08, 10.74s/it][2022-12-20 15:35:50,399] [INFO] [timer.py:197:stop] 0/49, RunningAvgSamplesPerSec=10.8958040335727, CurrSamplesPerSec=10.74248912456636, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 49/20000 [09:05<56:34:59, 10.21s/it][2022-12-20 15:36:01,776] [INFO] [logging.py:68:log_dist] [Rank 0] step=50, skipped=2, lr=[6.229195710491767e-06], mom=[[0.9, 0.999]] [2022-12-20 15:36:01,777] [INFO] [timer.py:197:stop] 0/50, RunningAvgSamplesPerSec=10.8957350591256, CurrSamplesPerSec=10.892494244864364, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 50/20000 [09:17<58:31:15, 10.56s/it] {'loss': 0.8695, 'learning_rate': 6.229195710491767e-06, 'epoch': 0.0} 0%| | 50/20000 [09:17<58:31:15, 10.56s/it][2022-12-20 15:36:10,924] [INFO] [timer.py:197:stop] 0/51, RunningAvgSamplesPerSec=10.887654333560233, CurrSamplesPerSec=10.513390504419426, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 51/20000 [09:26<56:10:12, 10.14s/it][2022-12-20 15:36:20,685] [INFO] [timer.py:197:stop] 0/52, RunningAvgSamplesPerSec=10.886402428280824, CurrSamplesPerSec=10.825409768698325, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 52/20000 [09:36<55:32:32, 10.02s/it][2022-12-20 15:36:33,681] [INFO] [timer.py:197:stop] 0/53, RunningAvgSamplesPerSec=10.888889577509431, CurrSamplesPerSec=11.014712752363737, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 53/20000 [09:49<60:28:51, 10.92s/it][2022-12-20 15:36:42,650] [INFO] [timer.py:197:stop] 0/54, RunningAvgSamplesPerSec=10.886493570224355, CurrSamplesPerSec=10.765679872173234, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 54/20000 [09:58<57:14:32, 10.33s/it][2022-12-20 15:36:52,560] [INFO] [timer.py:197:stop] 0/55, RunningAvgSamplesPerSec=10.880341552631197, CurrSamplesPerSec=10.569744464502694, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 55/20000 [10:08<56:32:18, 10.20s/it][2022-12-20 15:37:04,524] [INFO] [timer.py:197:stop] 0/56, RunningAvgSamplesPerSec=10.881361794460059, CurrSamplesPerSec=10.935709778850818, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 56/20000 [10:19<59:27:34, 10.73s/it][2022-12-20 15:37:16,344] [INFO] [timer.py:197:stop] 0/57, RunningAvgSamplesPerSec=10.883543858044652, CurrSamplesPerSec=11.002689113559848, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 57/20000 [10:31<61:15:48, 11.06s/it][2022-12-20 15:37:27,284] [INFO] [timer.py:197:stop] 0/58, RunningAvgSamplesPerSec=10.88148848690482, CurrSamplesPerSec=10.76962631524342, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 58/20000 [10:42<61:03:46, 11.02s/it][2022-12-20 15:37:36,017] [INFO] [timer.py:197:stop] 0/59, RunningAvgSamplesPerSec=10.88600031097144, CurrSamplesPerSec=11.144775845635184, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 59/20000 [10:51<57:15:13, 10.34s/it][2022-12-20 15:37:45,491] [INFO] [logging.py:68:log_dist] [Rank 0] step=60, skipped=2, lr=[6.533707268809618e-06], mom=[[0.9, 0.999]] [2022-12-20 15:37:45,492] [INFO] [timer.py:197:stop] 0/60, RunningAvgSamplesPerSec=10.890122169217374, CurrSamplesPerSec=11.130341557668824, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 60/20000 [11:00<55:49:11, 10.08s/it][2022-12-20 15:37:56,821] [INFO] [timer.py:197:stop] 0/61, RunningAvgSamplesPerSec=10.890198900280849, CurrSamplesPerSec=10.89465115279528, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 61/20000 [11:12<57:53:44, 10.45s/it][2022-12-20 15:38:06,413] [INFO] [timer.py:197:stop] 0/62, RunningAvgSamplesPerSec=10.89285504047603, CurrSamplesPerSec=11.051894140791262, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 62/20000 [11:21<56:27:42, 10.19s/it][2022-12-20 15:38:15,443] [INFO] [timer.py:197:stop] 0/63, RunningAvgSamplesPerSec=10.89307654663285, CurrSamplesPerSec=10.906383422016576, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 63/20000 [11:30<54:31:28, 9.85s/it][2022-12-20 15:38:25,572] [INFO] [timer.py:197:stop] 0/64, RunningAvgSamplesPerSec=10.889373111889205, CurrSamplesPerSec=10.66812874380896, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 64/20000 [11:41<54:59:36, 9.93s/it][2022-12-20 15:38:36,697] [INFO] [timer.py:197:stop] 0/65, RunningAvgSamplesPerSec=10.890765844804454, CurrSamplesPerSec=10.977816615830767, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 65/20000 [11:52<56:58:24, 10.29s/it][2022-12-20 15:38:45,371] [INFO] [timer.py:197:stop] 0/66, RunningAvgSamplesPerSec=10.896019425282136, CurrSamplesPerSec=11.237533427664793, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 66/20000 [12:00<54:17:19, 9.80s/it][2022-12-20 15:38:57,201] [INFO] [timer.py:197:stop] 0/67, RunningAvgSamplesPerSec=10.891788211175603, CurrSamplesPerSec=10.627660018394034, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 67/20000 [12:12<57:39:01, 10.41s/it][2022-12-20 15:39:07,896] [INFO] [timer.py:197:stop] 0/68, RunningAvgSamplesPerSec=10.896625768232381, CurrSamplesPerSec=11.220558430780597, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 68/20000 [12:23<58:07:03, 10.50s/it][2022-12-20 15:39:17,664] [INFO] [timer.py:197:stop] 0/69, RunningAvgSamplesPerSec=10.901117985866913, CurrSamplesPerSec=11.206022733866648, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 69/20000 [12:33<56:54:20, 10.28s/it][2022-12-20 15:39:27,092] [INFO] [logging.py:68:log_dist] [Rank 0] step=70, skipped=2, lr=[6.7896601657751925e-06], mom=[[0.9, 0.999]] [2022-12-20 15:39:27,093] [INFO] [timer.py:197:stop] 0/70, RunningAvgSamplesPerSec=10.897844973531056, CurrSamplesPerSec=10.682942072513109, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 70/20000 [12:42<55:29:25, 10.02s/it][2022-12-20 15:39:37,281] [INFO] [timer.py:197:stop] 0/71, RunningAvgSamplesPerSec=10.897587487343538, CurrSamplesPerSec=10.880106925489299, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 71/20000 [12:52<55:45:42, 10.07s/it][2022-12-20 15:39:47,534] [INFO] [timer.py:197:stop] 0/72, RunningAvgSamplesPerSec=10.898088414990859, CurrSamplesPerSec=10.932763992394994, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 72/20000 [13:03<56:03:31, 10.13s/it][2022-12-20 15:39:56,415] [INFO] [timer.py:197:stop] 0/73, RunningAvgSamplesPerSec=10.898273334508474, CurrSamplesPerSec=10.91123331379001, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 73/20000 [13:11<53:59:12, 9.75s/it][2022-12-20 15:40:07,270] [INFO] [timer.py:197:stop] 0/74, RunningAvgSamplesPerSec=10.902595167351214, CurrSamplesPerSec=11.218460438752706, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 74/20000 [13:22<55:48:44, 10.08s/it][2022-12-20 15:40:17,946] [INFO] [timer.py:197:stop] 0/75, RunningAvgSamplesPerSec=10.905919567634722, CurrSamplesPerSec=11.150723833135757, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 75/20000 [13:33<56:47:36, 10.26s/it] {'loss': 0.7429, 'learning_rate': 6.903829450223392e-06, 'epoch': 0.0} 0%| | 75/20000 [13:33<56:47:36, 10.26s/it][2022-12-20 15:40:26,997] [INFO] [timer.py:197:stop] 0/76, RunningAvgSamplesPerSec=10.903108477220654, CurrSamplesPerSec=10.701740776598974, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 76/20000 [13:42<54:46:54, 9.90s/it][2022-12-20 15:40:37,096] [INFO] [timer.py:197:stop] 0/77, RunningAvgSamplesPerSec=10.90461423516945, CurrSamplesPerSec=11.017206365281899, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 77/20000 [13:52<55:06:40, 9.96s/it][2022-12-20 15:40:50,003] [INFO] [timer.py:197:stop] 0/78, RunningAvgSamplesPerSec=10.90073034869722, CurrSamplesPerSec=10.61711864146676, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 78/20000 [14:05<60:00:15, 10.84s/it][2022-12-20 15:40:59,794] [INFO] [timer.py:197:stop] 0/79, RunningAvgSamplesPerSec=10.90071202738634, CurrSamplesPerSec=10.899319787939595, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 79/20000 [14:15<58:15:20, 10.53s/it][2022-12-20 15:41:09,637] [INFO] [logging.py:68:log_dist] [Rank 0] step=80, skipped=2, lr=[7.010432126517687e-06], mom=[[0.9, 0.999]] [2022-12-20 15:41:09,638] [INFO] [timer.py:197:stop] 0/80, RunningAvgSamplesPerSec=10.902869128055437, CurrSamplesPerSec=11.071569272204401, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 80/20000 [14:25<57:07:03, 10.32s/it][2022-12-20 15:41:18,625] [INFO] [timer.py:197:stop] 0/81, RunningAvgSamplesPerSec=10.90515509067802, CurrSamplesPerSec=11.086462656441375, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 81/20000 [14:34<54:53:50, 9.92s/it][2022-12-20 15:41:28,457] [INFO] [timer.py:197:stop] 0/82, RunningAvgSamplesPerSec=10.902633338539307, CurrSamplesPerSec=10.707034246496661, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 82/20000 [14:43<54:44:45, 9.89s/it][2022-12-20 15:41:38,842] [INFO] [timer.py:197:stop] 0/83, RunningAvgSamplesPerSec=10.899890489729229, CurrSamplesPerSec=10.684845806873357, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 83/20000 [14:54<55:33:26, 10.04s/it][2022-12-20 15:41:48,903] [INFO] [timer.py:197:stop] 0/84, RunningAvgSamplesPerSec=10.897046986952594, CurrSamplesPerSec=10.67154832141702, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 84/20000 [15:04<55:35:07, 10.05s/it][2022-12-20 15:41:59,145] [INFO] [timer.py:197:stop] 0/85, RunningAvgSamplesPerSec=10.892367532975673, CurrSamplesPerSec=10.521863555334537, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 85/20000 [15:14<55:54:19, 10.11s/it][2022-12-20 15:42:08,060] [INFO] [timer.py:197:stop] 0/86, RunningAvgSamplesPerSec=10.893053467622217, CurrSamplesPerSec=10.950288787957025, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 86/20000 [15:23<53:55:34, 9.75s/it][2022-12-20 15:42:17,059] [INFO] [timer.py:197:stop] 0/87, RunningAvgSamplesPerSec=10.890432189578789, CurrSamplesPerSec=10.674659355729421, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 87/20000 [15:32<52:40:44, 9.52s/it][2022-12-20 15:42:29,635] [INFO] [timer.py:197:stop] 0/88, RunningAvgSamplesPerSec=10.890157136003523, CurrSamplesPerSec=10.866828254976605, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 88/20000 [15:45<57:44:33, 10.44s/it][2022-12-20 15:42:40,962] [INFO] [timer.py:197:stop] 0/89, RunningAvgSamplesPerSec=10.89239360869749, CurrSamplesPerSec=11.08822850035243, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 89/20000 [15:56<59:12:42, 10.71s/it][2022-12-20 15:42:50,957] [INFO] [logging.py:68:log_dist] [Rank 0] step=90, skipped=2, lr=[7.204536060149867e-06], mom=[[0.9, 0.999]] [2022-12-20 15:42:50,958] [INFO] [timer.py:197:stop] 0/90, RunningAvgSamplesPerSec=10.895411341944778, CurrSamplesPerSec=11.164513116632582, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 90/20000 [16:06<58:01:47, 10.49s/it][2022-12-20 15:43:01,878] [INFO] [timer.py:197:stop] 0/91, RunningAvgSamplesPerSec=10.896553093001545, CurrSamplesPerSec=10.997972977485281, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 91/20000 [16:17<58:44:10, 10.62s/it][2022-12-20 15:43:11,972] [INFO] [timer.py:197:stop] 0/92, RunningAvgSamplesPerSec=10.895282997608103, CurrSamplesPerSec=10.783418145123468, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 92/20000 [16:27<57:51:36, 10.46s/it][2022-12-20 15:43:23,263] [INFO] [timer.py:197:stop] 0/93, RunningAvgSamplesPerSec=10.896014447904294, CurrSamplesPerSec=10.962249594278822, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 93/20000 [16:38<59:13:47, 10.71s/it][2022-12-20 15:43:33,598] [INFO] [timer.py:197:stop] 0/94, RunningAvgSamplesPerSec=10.89409055655915, CurrSamplesPerSec=10.721815425320457, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 94/20000 [16:49<58:36:09, 10.60s/it][2022-12-20 15:43:43,010] [INFO] [timer.py:197:stop] 0/95, RunningAvgSamplesPerSec=10.89508904455143, CurrSamplesPerSec=10.987739605155909, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 95/20000 [16:58<56:38:00, 10.24s/it][2022-12-20 15:43:52,739] [INFO] [timer.py:197:stop] 0/96, RunningAvgSamplesPerSec=10.892471717404803, CurrSamplesPerSec=10.654436798262937, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 96/20000 [17:08<55:46:41, 10.09s/it][2022-12-20 15:44:03,668] [INFO] [timer.py:197:stop] 0/97, RunningAvgSamplesPerSec=10.892260915096994, CurrSamplesPerSec=10.872481863397695, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 97/20000 [17:19<57:10:10, 10.34s/it][2022-12-20 15:44:12,462] [INFO] [timer.py:197:stop] 0/98, RunningAvgSamplesPerSec=10.894685162948578, CurrSamplesPerSec=11.130015744155564, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 98/20000 [17:27<54:36:04, 9.88s/it][2022-12-20 15:44:22,229] [INFO] [timer.py:197:stop] 0/99, RunningAvgSamplesPerSec=10.891890557718048, CurrSamplesPerSec=10.630123303043199, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 99/20000 [17:37<54:25:02, 9.84s/it][2022-12-20 15:44:33,490] [INFO] [logging.py:68:log_dist] [Rank 0] step=100, skipped=2, lr=[7.377725845391017e-06], mom=[[0.9, 0.999]] [2022-12-20 15:44:33,491] [INFO] [timer.py:197:stop] 0/100, RunningAvgSamplesPerSec=10.890255274027245, CurrSamplesPerSec=10.733933146585967, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 0%| | 100/20000 [17:48<56:45:56, 10.27s/it] {'loss': 0.6562, 'learning_rate': 7.377725845391017e-06, 'epoch': 0.01} 0%| | 100/20000 [17:48<56:45:56, 10.27s/it][2022-12-20 15:44:44,262] [INFO] [timer.py:197:stop] 0/101, RunningAvgSamplesPerSec=10.89083374508608, CurrSamplesPerSec=10.947823585667049, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 101/20000 [17:59<57:35:44, 10.42s/it][2022-12-20 15:44:54,570] [INFO] [timer.py:197:stop] 0/102, RunningAvgSamplesPerSec=10.894982730999736, CurrSamplesPerSec=11.321993602147082, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 102/20000 [18:10<57:24:24, 10.39s/it][2022-12-20 15:45:03,433] [INFO] [timer.py:197:stop] 0/103, RunningAvgSamplesPerSec=10.89491050112895, CurrSamplesPerSec=10.887692347316127, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 103/20000 [18:18<54:52:42, 9.93s/it][2022-12-20 15:45:13,016] [INFO] [timer.py:197:stop] 0/104, RunningAvgSamplesPerSec=10.894014299818693, CurrSamplesPerSec=10.804251176930256, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 104/20000 [18:28<54:18:03, 9.83s/it][2022-12-20 15:45:21,813] [INFO] [timer.py:197:stop] 0/105, RunningAvgSamplesPerSec=10.894816968116414, CurrSamplesPerSec=10.97731516841267, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 105/20000 [18:37<52:35:35, 9.52s/it][2022-12-20 15:45:30,606] [INFO] [timer.py:197:stop] 0/106, RunningAvgSamplesPerSec=10.896698407131273, CurrSamplesPerSec=11.094030067628276, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 106/20000 [18:46<51:23:30, 9.30s/it][2022-12-20 15:45:39,570] [INFO] [timer.py:197:stop] 0/107, RunningAvgSamplesPerSec=10.895382820631133, CurrSamplesPerSec=10.760274785287917, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 107/20000 [18:55<50:49:56, 9.20s/it][2022-12-20 15:45:49,383] [INFO] [timer.py:197:stop] 0/108, RunningAvgSamplesPerSec=10.892023943562526, CurrSamplesPerSec=10.550505484830738, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 108/20000 [19:04<51:50:47, 9.38s/it][2022-12-20 15:45:58,113] [INFO] [timer.py:197:stop] 0/109, RunningAvgSamplesPerSec=10.894400647961067, CurrSamplesPerSec=11.152352673572956, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 109/20000 [19:13<50:45:41, 9.19s/it][2022-12-20 15:46:09,900] [INFO] [logging.py:68:log_dist] [Rank 0] step=110, skipped=2, lr=[7.5340731916996546e-06], mom=[[0.9, 0.999]] [2022-12-20 15:46:09,900] [INFO] [timer.py:197:stop] 0/110, RunningAvgSamplesPerSec=10.892777405651364, CurrSamplesPerSec=10.721841548598196, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 110/20000 [19:25<55:04:09, 9.97s/it][2022-12-20 15:46:18,624] [INFO] [timer.py:197:stop] 0/111, RunningAvgSamplesPerSec=10.894470544580043, CurrSamplesPerSec=11.080480555251933, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 111/20000 [19:34<53:00:21, 9.59s/it][2022-12-20 15:46:30,168] [INFO] [timer.py:197:stop] 0/112, RunningAvgSamplesPerSec=10.893542377994846, CurrSamplesPerSec=10.793311620090874, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 112/20000 [19:45<56:14:05, 10.18s/it][2022-12-20 15:46:39,028] [INFO] [timer.py:197:stop] 0/113, RunningAvgSamplesPerSec=10.893705506406201, CurrSamplesPerSec=10.911679507605175, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 113/20000 [19:54<54:02:41, 9.78s/it][2022-12-20 15:46:47,881] [INFO] [timer.py:197:stop] 0/114, RunningAvgSamplesPerSec=10.893786318213449, CurrSamplesPerSec=10.902763887683385, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 114/20000 [20:03<52:30:01, 9.50s/it][2022-12-20 15:46:57,503] [INFO] [timer.py:197:stop] 0/115, RunningAvgSamplesPerSec=10.893634164754843, CurrSamplesPerSec=10.876619830985714, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 115/20000 [20:12<52:41:36, 9.54s/it][2022-12-20 15:47:06,560] [INFO] [timer.py:197:stop] 0/116, RunningAvgSamplesPerSec=10.890500716165919, CurrSamplesPerSec=10.54766614790582, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 116/20000 [20:22<51:53:26, 9.39s/it][2022-12-20 15:47:16,298] [INFO] [timer.py:197:stop] 0/117, RunningAvgSamplesPerSec=10.891188371556387, CurrSamplesPerSec=10.970154454820806, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 117/20000 [20:31<52:27:22, 9.50s/it][2022-12-20 15:47:25,846] [INFO] [timer.py:197:stop] 0/118, RunningAvgSamplesPerSec=10.89262093431404, CurrSamplesPerSec=11.05991792597731, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 118/20000 [20:41<52:32:17, 9.51s/it][2022-12-20 15:47:35,839] [INFO] [timer.py:197:stop] 0/119, RunningAvgSamplesPerSec=10.892243093197424, CurrSamplesPerSec=10.848590691918128, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 119/20000 [20:51<53:19:47, 9.66s/it][2022-12-20 15:47:45,710] [INFO] [logging.py:68:log_dist] [Rank 0] step=120, skipped=2, lr=[7.676565519355727e-06], mom=[[0.9, 0.999]] [2022-12-20 15:47:45,711] [INFO] [timer.py:197:stop] 0/120, RunningAvgSamplesPerSec=10.895313031506078, CurrSamplesPerSec=11.266848817978676, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 120/20000 [21:01<53:40:57, 9.72s/it][2022-12-20 15:47:56,435] [INFO] [timer.py:197:stop] 0/121, RunningAvgSamplesPerSec=10.898801438165581, CurrSamplesPerSec=11.326732740111474, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 121/20000 [21:11<55:20:29, 10.02s/it][2022-12-20 15:48:07,275] [INFO] [timer.py:197:stop] 0/122, RunningAvgSamplesPerSec=10.898408804669183, CurrSamplesPerSec=10.851886543715885, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 122/20000 [21:22<56:41:37, 10.27s/it][2022-12-20 15:48:16,913] [INFO] [timer.py:197:stop] 0/123, RunningAvgSamplesPerSec=10.899049735200295, CurrSamplesPerSec=10.976512588752744, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 123/20000 [21:32<55:38:56, 10.08s/it][2022-12-20 15:48:25,712] [INFO] [timer.py:197:stop] 0/124, RunningAvgSamplesPerSec=10.900803449275388, CurrSamplesPerSec=11.117251131540296, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 124/20000 [21:41<53:31:34, 9.69s/it][2022-12-20 15:48:34,629] [INFO] [timer.py:197:stop] 0/125, RunningAvgSamplesPerSec=10.900146210842525, CurrSamplesPerSec=10.82055341755132, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 125/20000 [21:50<52:14:03, 9.46s/it] {'loss': 0.6217, 'learning_rate': 7.743343231239583e-06, 'epoch': 0.01} 1%| | 125/20000 [21:50<52:14:03, 9.46s/it][2022-12-20 15:48:45,957] [INFO] [timer.py:197:stop] 0/126, RunningAvgSamplesPerSec=10.900307648394701, CurrSamplesPerSec=10.920201001165548, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 126/20000 [22:01<55:19:25, 10.02s/it][2022-12-20 15:48:54,916] [INFO] [timer.py:197:stop] 0/127, RunningAvgSamplesPerSec=10.899084322884274, CurrSamplesPerSec=10.749490778103072, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 127/20000 [22:10<53:33:40, 9.70s/it][2022-12-20 15:49:05,501] [INFO] [timer.py:197:stop] 0/128, RunningAvgSamplesPerSec=10.89889877389122, CurrSamplesPerSec=10.87575479579112, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 128/20000 [22:20<55:01:14, 9.97s/it][2022-12-20 15:49:16,292] [INFO] [timer.py:197:stop] 0/129, RunningAvgSamplesPerSec=10.900814692011478, CurrSamplesPerSec=11.147731916844752, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 129/20000 [22:31<56:22:49, 10.21s/it][2022-12-20 15:49:26,757] [INFO] [logging.py:68:log_dist] [Rank 0] step=130, skipped=2, lr=[7.807459757842952e-06], mom=[[0.9, 0.999]] [2022-12-20 15:49:26,758] [INFO] [timer.py:197:stop] 0/130, RunningAvgSamplesPerSec=10.903040332424883, CurrSamplesPerSec=11.193280248721532, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 130/20000 [22:42<56:47:40, 10.29s/it][2022-12-20 15:49:37,050] [INFO] [timer.py:197:stop] 0/131, RunningAvgSamplesPerSec=10.903082364564577, CurrSamplesPerSec=10.908465155328583, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 131/20000 [22:52<56:47:44, 10.29s/it][2022-12-20 15:49:48,165] [INFO] [timer.py:197:stop] 0/132, RunningAvgSamplesPerSec=10.901436970523767, CurrSamplesPerSec=10.693265745735857, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 132/20000 [23:03<58:09:27, 10.54s/it][2022-12-20 15:49:58,916] [INFO] [timer.py:197:stop] 0/133, RunningAvgSamplesPerSec=10.898256422048208, CurrSamplesPerSec=10.500010482977366, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 133/20000 [23:14<58:30:23, 10.60s/it][2022-12-20 15:50:09,834] [INFO] [timer.py:197:stop] 0/134, RunningAvgSamplesPerSec=10.899759710327842, CurrSamplesPerSec=11.100342150557742, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 134/20000 [23:25<59:01:40, 10.70s/it][2022-12-20 15:50:19,536] [INFO] [timer.py:197:stop] 0/135, RunningAvgSamplesPerSec=10.898640078904826, CurrSamplesPerSec=10.752840824537818, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 135/20000 [23:35<57:22:40, 10.40s/it][2022-12-20 15:50:30,698] [INFO] [timer.py:197:stop] 0/136, RunningAvgSamplesPerSec=10.894147811294816, CurrSamplesPerSec=10.32796125848592, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 136/20000 [23:46<58:38:24, 10.63s/it][2022-12-20 15:50:41,275] [INFO] [timer.py:197:stop] 0/137, RunningAvgSamplesPerSec=10.894118881236466, CurrSamplesPerSec=10.890243642696433, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 137/20000 [23:56<58:33:10, 10.61s/it][2022-12-20 15:50:53,007] [INFO] [timer.py:197:stop] 0/138, RunningAvgSamplesPerSec=10.889627684268026, CurrSamplesPerSec=10.315518088988336, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 138/20000 [24:08<60:24:11, 10.95s/it][2022-12-20 15:51:04,301] [INFO] [timer.py:197:stop] 0/139, RunningAvgSamplesPerSec=10.889339004315605, CurrSamplesPerSec=10.850220605485218, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 139/20000 [24:19<60:58:20, 11.05s/it][2022-12-20 15:51:13,469] [INFO] [logging.py:68:log_dist] [Rank 0] step=140, skipped=2, lr=[7.928502661991142e-06], mom=[[0.9, 0.999]] [2022-12-20 15:51:13,470] [INFO] [timer.py:197:stop] 0/140, RunningAvgSamplesPerSec=10.888946387643868, CurrSamplesPerSec=10.835424218640636, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 140/20000 [24:28<57:51:12, 10.49s/it][2022-12-20 15:51:24,260] [INFO] [timer.py:197:stop] 0/141, RunningAvgSamplesPerSec=10.889735798105061, CurrSamplesPerSec=10.999783311582537, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 141/20000 [24:39<58:21:10, 10.58s/it][2022-12-20 15:51:34,851] [INFO] [timer.py:197:stop] 0/142, RunningAvgSamplesPerSec=10.888929038652064, CurrSamplesPerSec=10.777940710365202, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 142/20000 [24:50<58:22:14, 10.58s/it][2022-12-20 15:51:45,968] [INFO] [timer.py:197:stop] 0/143, RunningAvgSamplesPerSec=10.890530660539737, CurrSamplesPerSec=11.119505809050116, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 143/20000 [25:01<59:15:11, 10.74s/it][2022-12-20 15:51:56,352] [INFO] [timer.py:197:stop] 0/144, RunningAvgSamplesPerSec=10.89307615582939, CurrSamplesPerSec=11.264309469439693, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 144/20000 [25:11<58:39:27, 10.63s/it][2022-12-20 15:52:07,531] [INFO] [timer.py:197:stop] 0/145, RunningAvgSamplesPerSec=10.892054977771533, CurrSamplesPerSec=10.748966069227492, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 145/20000 [25:23<59:33:13, 10.80s/it][2022-12-20 15:52:17,620] [INFO] [timer.py:197:stop] 0/146, RunningAvgSamplesPerSec=10.893472600030695, CurrSamplesPerSec=11.100063990611678, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 146/20000 [25:33<58:22:39, 10.59s/it][2022-12-20 15:52:28,173] [INFO] [timer.py:197:stop] 0/147, RunningAvgSamplesPerSec=10.889915128956916, CurrSamplesPerSec=10.400807343208973, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 147/20000 [25:43<58:19:20, 10.58s/it][2022-12-20 15:52:37,612] [INFO] [timer.py:197:stop] 0/148, RunningAvgSamplesPerSec=10.891453627778475, CurrSamplesPerSec=11.119233596626364, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 148/20000 [25:53<56:26:18, 10.23s/it][2022-12-20 15:52:48,638] [INFO] [timer.py:197:stop] 0/149, RunningAvgSamplesPerSec=10.888914919194784, CurrSamplesPerSec=10.530545670306822, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 149/20000 [26:04<57:44:39, 10.47s/it][2022-12-20 15:52:59,432] [INFO] [logging.py:68:log_dist] [Rank 0] step=150, skipped=2, lr=[8.041073861170494e-06], mom=[[0.9, 0.999]] [2022-12-20 15:52:59,433] [INFO] [timer.py:197:stop] 0/150, RunningAvgSamplesPerSec=10.885927013166768, CurrSamplesPerSec=10.46385049553665, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 150/20000 [26:14<58:16:36, 10.57s/it] {'loss': 0.5393, 'learning_rate': 8.041073861170494e-06, 'epoch': 0.01} 1%| | 150/20000 [26:14<58:16:36, 10.57s/it][2022-12-20 15:53:09,303] [INFO] [timer.py:197:stop] 0/151, RunningAvgSamplesPerSec=10.886920148478275, CurrSamplesPerSec=11.035929539552539, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 151/20000 [26:24<57:07:02, 10.36s/it][2022-12-20 15:53:20,733] [INFO] [timer.py:197:stop] 0/152, RunningAvgSamplesPerSec=10.887453224660565, CurrSamplesPerSec=10.96746924264102, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 152/20000 [26:36<58:53:45, 10.68s/it][2022-12-20 15:53:33,581] [INFO] [timer.py:197:stop] 0/153, RunningAvgSamplesPerSec=10.887823934837957, CurrSamplesPerSec=10.94371782700822, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 153/20000 [26:49<62:27:50, 11.33s/it][2022-12-20 15:53:45,311] [INFO] [timer.py:197:stop] 0/154, RunningAvgSamplesPerSec=10.886743411120687, CurrSamplesPerSec=10.726009198535701, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 154/20000 [27:00<63:07:17, 11.45s/it][2022-12-20 15:53:54,390] [INFO] [timer.py:197:stop] 0/155, RunningAvgSamplesPerSec=10.887423316848324, CurrSamplesPerSec=10.991765945291494, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 155/20000 [27:09<59:11:52, 10.74s/it][2022-12-20 15:54:06,130] [INFO] [timer.py:197:stop] 0/156, RunningAvgSamplesPerSec=10.886557761473329, CurrSamplesPerSec=10.755729654622401, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 156/20000 [27:21<60:50:59, 11.04s/it][2022-12-20 15:54:16,189] [INFO] [timer.py:197:stop] 0/157, RunningAvgSamplesPerSec=10.888020792884056, CurrSamplesPerSec=11.118120013530506, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 157/20000 [27:31<59:13:35, 10.75s/it][2022-12-20 15:54:26,264] [INFO] [timer.py:197:stop] 0/158, RunningAvgSamplesPerSec=10.88849413337978, CurrSamplesPerSec=10.962362856350717, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 158/20000 [27:41<58:06:55, 10.54s/it][2022-12-20 15:54:35,959] [INFO] [timer.py:197:stop] 0/159, RunningAvgSamplesPerSec=10.885112982866252, CurrSamplesPerSec=10.382180312563683, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 159/20000 [27:51<56:42:30, 10.29s/it][2022-12-20 15:54:45,991] [INFO] [logging.py:68:log_dist] [Rank 0] step=160, skipped=2, lr=[8.146282038785833e-06], mom=[[0.9, 0.999]] [2022-12-20 15:54:45,991] [INFO] [timer.py:197:stop] 0/160, RunningAvgSamplesPerSec=10.884120866085944, CurrSamplesPerSec=10.730569990232233, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 160/20000 [28:01<56:16:50, 10.21s/it][2022-12-20 15:54:56,553] [INFO] [timer.py:197:stop] 0/161, RunningAvgSamplesPerSec=10.884996893705017, CurrSamplesPerSec=11.025203391009764, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 161/20000 [28:12<56:51:20, 10.32s/it][2022-12-20 15:55:08,056] [INFO] [timer.py:197:stop] 0/162, RunningAvgSamplesPerSec=10.88568674170828, CurrSamplesPerSec=10.99649612865086, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 162/20000 [28:23<58:48:45, 10.67s/it][2022-12-20 15:55:19,076] [INFO] [timer.py:197:stop] 0/163, RunningAvgSamplesPerSec=10.887029607710343, CurrSamplesPerSec=11.106241412831823, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 163/20000 [28:34<59:23:02, 10.78s/it][2022-12-20 15:55:30,905] [INFO] [timer.py:197:stop] 0/164, RunningAvgSamplesPerSec=10.887321225538251, CurrSamplesPerSec=10.934476310412894, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 164/20000 [28:46<61:07:15, 11.09s/it][2022-12-20 15:55:40,187] [INFO] [timer.py:197:stop] 0/165, RunningAvgSamplesPerSec=10.889021452166068, CurrSamplesPerSec=11.17165139229749, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 165/20000 [28:55<58:07:25, 10.55s/it][2022-12-20 15:55:51,485] [INFO] [timer.py:197:stop] 0/166, RunningAvgSamplesPerSec=10.890262522014867, CurrSamplesPerSec=11.096409731489539, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 166/20000 [29:06<59:21:34, 10.77s/it][2022-12-20 15:56:01,483] [INFO] [timer.py:197:stop] 0/167, RunningAvgSamplesPerSec=10.890089437205091, CurrSamplesPerSec=10.861777775044258, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 167/20000 [29:16<58:04:25, 10.54s/it][2022-12-20 15:56:14,259] [INFO] [timer.py:197:stop] 0/168, RunningAvgSamplesPerSec=10.89005932065171, CurrSamplesPerSec=10.885092369544354, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 168/20000 [29:29<61:45:50, 11.21s/it][2022-12-20 15:56:25,118] [INFO] [timer.py:197:stop] 0/169, RunningAvgSamplesPerSec=10.887450163986156, CurrSamplesPerSec=10.470997121129184, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 169/20000 [29:40<61:10:40, 11.11s/it][2022-12-20 15:56:36,887] [INFO] [logging.py:68:log_dist] [Rank 0] step=170, skipped=2, lr=[8.245031542220927e-06], mom=[[0.9, 0.999]] [2022-12-20 15:56:36,888] [INFO] [timer.py:197:stop] 0/170, RunningAvgSamplesPerSec=10.885367988981846, CurrSamplesPerSec=10.548471072576117, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 170/20000 [29:52<62:16:18, 11.31s/it][2022-12-20 15:56:47,363] [INFO] [timer.py:197:stop] 0/171, RunningAvgSamplesPerSec=10.884339798765927, CurrSamplesPerSec=10.714318170025425, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 171/20000 [30:02<60:53:49, 11.06s/it][2022-12-20 15:56:58,629] [INFO] [timer.py:197:stop] 0/172, RunningAvgSamplesPerSec=10.883041963400247, CurrSamplesPerSec=10.668065996402666, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 172/20000 [30:14<61:14:30, 11.12s/it][2022-12-20 15:57:08,841] [INFO] [timer.py:197:stop] 0/173, RunningAvgSamplesPerSec=10.882549774462094, CurrSamplesPerSec=10.799519798650158, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 173/20000 [30:24<59:44:21, 10.85s/it][2022-12-20 15:57:19,500] [INFO] [timer.py:197:stop] 0/174, RunningAvgSamplesPerSec=10.881495536993725, CurrSamplesPerSec=10.704175779865082, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 174/20000 [30:34<59:25:31, 10.79s/it][2022-12-20 15:57:30,380] [INFO] [timer.py:197:stop] 0/175, RunningAvgSamplesPerSec=10.881937745298629, CurrSamplesPerSec=10.958536074173121, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 175/20000 [30:45<59:34:14, 10.82s/it] {'loss': 0.5282, 'learning_rate': 8.292222957399574e-06, 'epoch': 0.01} 1%| | 175/20000 [30:45<59:34:14, 10.82s/it][2022-12-20 15:57:40,176] [INFO] [timer.py:197:stop] 0/176, RunningAvgSamplesPerSec=10.882185507329801, CurrSamplesPerSec=10.925218818409688, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 176/20000 [30:55<57:52:49, 10.51s/it][2022-12-20 15:57:49,934] [INFO] [timer.py:197:stop] 0/177, RunningAvgSamplesPerSec=10.882590030902307, CurrSamplesPerSec=10.953438001018405, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 177/20000 [31:05<56:38:01, 10.29s/it][2022-12-20 15:58:00,168] [INFO] [timer.py:197:stop] 0/178, RunningAvgSamplesPerSec=10.883648151336857, CurrSamplesPerSec=11.072042833081962, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 178/20000 [31:15<56:32:44, 10.27s/it][2022-12-20 15:58:09,764] [INFO] [timer.py:197:stop] 0/179, RunningAvgSamplesPerSec=10.884955789143138, CurrSamplesPerSec=11.120100024598521, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 179/20000 [31:25<55:25:51, 10.07s/it][2022-12-20 15:58:20,488] [INFO] [logging.py:68:log_dist] [Rank 0] step=180, skipped=2, lr=[8.338069703233054e-06], mom=[[0.9, 0.999]] [2022-12-20 15:58:20,489] [INFO] [timer.py:197:stop] 0/180, RunningAvgSamplesPerSec=10.881620100195372, CurrSamplesPerSec=10.321752195928045, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 180/20000 [31:35<56:30:45, 10.26s/it][2022-12-20 15:58:31,370] [INFO] [timer.py:197:stop] 0/181, RunningAvgSamplesPerSec=10.879880784813567, CurrSamplesPerSec=10.578895605136156, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 181/20000 [31:46<57:31:41, 10.45s/it][2022-12-20 15:58:41,545] [INFO] [timer.py:197:stop] 0/182, RunningAvgSamplesPerSec=10.880341707492038, CurrSamplesPerSec=10.963480829307999, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 182/20000 [31:57<57:04:16, 10.37s/it][2022-12-20 15:58:50,883] [INFO] [timer.py:197:stop] 0/183, RunningAvgSamplesPerSec=10.881223396681163, CurrSamplesPerSec=11.042289674223081, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 183/20000 [32:06<55:22:10, 10.06s/it][2022-12-20 15:59:01,818] [INFO] [timer.py:197:stop] 0/184, RunningAvgSamplesPerSec=10.881651020625926, CurrSamplesPerSec=10.959608520925494, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 184/20000 [32:17<56:48:48, 10.32s/it][2022-12-20 15:59:12,395] [INFO] [timer.py:197:stop] 0/185, RunningAvgSamplesPerSec=10.881868014026919, CurrSamplesPerSec=10.92150545679693, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 185/20000 [32:27<57:14:02, 10.40s/it][2022-12-20 15:59:23,455] [INFO] [timer.py:197:stop] 0/186, RunningAvgSamplesPerSec=10.88218990045679, CurrSamplesPerSec=10.941417467426579, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 186/20000 [32:38<58:19:24, 10.60s/it][2022-12-20 15:59:33,163] [INFO] [timer.py:197:stop] 0/187, RunningAvgSamplesPerSec=10.881291134869429, CurrSamplesPerSec=10.71840721549003, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 187/20000 [32:48<56:51:09, 10.33s/it][2022-12-20 15:59:43,905] [INFO] [timer.py:197:stop] 0/188, RunningAvgSamplesPerSec=10.881946989779625, CurrSamplesPerSec=11.00465574018078, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 188/20000 [32:59<57:31:48, 10.45s/it][2022-12-20 15:59:54,408] [INFO] [timer.py:197:stop] 0/189, RunningAvgSamplesPerSec=10.880208976181775, CurrSamplesPerSec=10.566314943550896, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 189/20000 [33:09<57:36:27, 10.47s/it][2022-12-20 16:00:04,110] [INFO] [logging.py:68:log_dist] [Rank 0] step=190, skipped=2, lr=[8.426021206646023e-06], mom=[[0.9, 0.999]] [2022-12-20 16:00:04,111] [INFO] [timer.py:197:stop] 0/190, RunningAvgSamplesPerSec=10.880506273248624, CurrSamplesPerSec=10.936387881833841, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 190/20000 [33:19<56:20:30, 10.24s/it][2022-12-20 16:00:14,736] [INFO] [timer.py:197:stop] 0/191, RunningAvgSamplesPerSec=10.880753381825587, CurrSamplesPerSec=10.927410059021389, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 191/20000 [33:30<56:58:37, 10.35s/it][2022-12-20 16:00:24,770] [INFO] [timer.py:197:stop] 0/192, RunningAvgSamplesPerSec=10.880800394948107, CurrSamplesPerSec=10.889693175551, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 192/20000 [33:40<56:26:39, 10.26s/it][2022-12-20 16:00:34,365] [INFO] [timer.py:197:stop] 0/193, RunningAvgSamplesPerSec=10.879595600072891, CurrSamplesPerSec=10.65542601546214, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 193/20000 [33:49<55:20:44, 10.06s/it][2022-12-20 16:00:43,807] [INFO] [timer.py:197:stop] 0/194, RunningAvgSamplesPerSec=10.879339803434197, CurrSamplesPerSec=10.830702211693136, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 194/20000 [33:59<54:19:31, 9.87s/it][2022-12-20 16:00:54,603] [INFO] [timer.py:197:stop] 0/195, RunningAvgSamplesPerSec=10.880947067303026, CurrSamplesPerSec=11.198597540063178, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 195/20000 [34:10<55:50:33, 10.15s/it][2022-12-20 16:01:05,378] [INFO] [timer.py:197:stop] 0/196, RunningAvgSamplesPerSec=10.881890797103864, CurrSamplesPerSec=11.067147521010167, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 196/20000 [34:20<56:52:17, 10.34s/it][2022-12-20 16:01:15,016] [INFO] [timer.py:197:stop] 0/197, RunningAvgSamplesPerSec=10.882893143092632, CurrSamplesPerSec=11.080904562876219, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 197/20000 [34:30<55:42:44, 10.13s/it][2022-12-20 16:01:24,560] [INFO] [timer.py:197:stop] 0/198, RunningAvgSamplesPerSec=10.884300232326352, CurrSamplesPerSec=11.165815753101349, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 198/20000 [34:40<54:44:46, 9.95s/it][2022-12-20 16:01:35,100] [INFO] [timer.py:197:stop] 0/199, RunningAvgSamplesPerSec=10.886173403086394, CurrSamplesPerSec=11.266196733016248, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 199/20000 [34:50<55:42:43, 10.13s/it][2022-12-20 16:01:44,623] [INFO] [logging.py:68:log_dist] [Rank 0] step=200, skipped=2, lr=[8.509413541357755e-06], mom=[[0.9, 0.999]] [2022-12-20 16:01:44,624] [INFO] [timer.py:197:stop] 0/200, RunningAvgSamplesPerSec=10.886905242799608, CurrSamplesPerSec=11.033022480759804, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 200/20000 [35:00<54:42:39, 9.95s/it] {'loss': 0.5062, 'learning_rate': 8.509413541357755e-06, 'epoch': 0.01} 1%| | 200/20000 [35:00<54:42:39, 9.95s/it][2022-12-20 16:01:54,792] [INFO] [timer.py:197:stop] 0/201, RunningAvgSamplesPerSec=10.888288525964667, CurrSamplesPerSec=11.16928257157154, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 201/20000 [35:10<55:04:18, 10.01s/it][2022-12-20 16:02:05,113] [INFO] [timer.py:197:stop] 0/202, RunningAvgSamplesPerSec=10.887987440918154, CurrSamplesPerSec=10.828401064560694, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 202/20000 [35:20<55:34:38, 10.11s/it][2022-12-20 16:02:15,058] [INFO] [timer.py:197:stop] 0/203, RunningAvgSamplesPerSec=10.888863742327233, CurrSamplesPerSec=11.067005619721371, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 203/20000 [35:30<55:18:31, 10.06s/it][2022-12-20 16:02:24,343] [INFO] [timer.py:197:stop] 0/204, RunningAvgSamplesPerSec=10.889249987279415, CurrSamplesPerSec=10.967445493500298, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 204/20000 [35:39<54:01:50, 9.83s/it][2022-12-20 16:02:34,850] [INFO] [timer.py:197:stop] 0/205, RunningAvgSamplesPerSec=10.888213548390045, CurrSamplesPerSec=10.682821756505463, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 205/20000 [35:50<55:09:05, 10.03s/it][2022-12-20 16:02:46,780] [INFO] [timer.py:197:stop] 0/206, RunningAvgSamplesPerSec=10.887238870451485, CurrSamplesPerSec=10.692927960775044, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 206/20000 [36:02<58:16:56, 10.60s/it][2022-12-20 16:02:57,765] [INFO] [timer.py:197:stop] 0/207, RunningAvgSamplesPerSec=10.886024475265577, CurrSamplesPerSec=10.643826646543873, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 207/20000 [36:13<58:54:54, 10.72s/it][2022-12-20 16:03:08,944] [INFO] [timer.py:197:stop] 0/208, RunningAvgSamplesPerSec=10.884841351902896, CurrSamplesPerSec=10.647612865853276, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 208/20000 [36:24<59:40:36, 10.85s/it][2022-12-20 16:03:20,006] [INFO] [timer.py:197:stop] 0/209, RunningAvgSamplesPerSec=10.885480872251664, CurrSamplesPerSec=11.018843921287244, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 209/20000 [36:35<60:00:55, 10.92s/it][2022-12-20 16:03:30,469] [INFO] [logging.py:68:log_dist] [Rank 0] step=210, skipped=2, lr=[8.588696173868873e-06], mom=[[0.9, 0.999]] [2022-12-20 16:03:30,470] [INFO] [timer.py:197:stop] 0/210, RunningAvgSamplesPerSec=10.885558913191007, CurrSamplesPerSec=10.901737513118228, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 210/20000 [36:45<59:15:54, 10.78s/it][2022-12-20 16:03:40,268] [INFO] [timer.py:197:stop] 0/211, RunningAvgSamplesPerSec=10.884767744987238, CurrSamplesPerSec=10.722667281074772, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 211/20000 [36:55<57:38:29, 10.49s/it][2022-12-20 16:03:50,060] [INFO] [timer.py:197:stop] 0/212, RunningAvgSamplesPerSec=10.884267529444589, CurrSamplesPerSec=10.780721812146156, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 212/20000 [37:05<56:29:34, 10.28s/it][2022-12-20 16:04:02,246] [INFO] [timer.py:197:stop] 0/213, RunningAvgSamplesPerSec=10.883978692750722, CurrSamplesPerSec=10.823660735796397, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 213/20000 [37:17<59:38:12, 10.85s/it][2022-12-20 16:04:12,144] [INFO] [timer.py:197:stop] 0/214, RunningAvgSamplesPerSec=10.884100194342265, CurrSamplesPerSec=10.909797846282313, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 214/20000 [37:27<58:03:52, 10.56s/it][2022-12-20 16:04:21,606] [INFO] [timer.py:197:stop] 0/215, RunningAvgSamplesPerSec=10.884872960747586, CurrSamplesPerSec=11.051214832888304, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 215/20000 [37:37<56:14:38, 10.23s/it][2022-12-20 16:04:31,816] [INFO] [timer.py:197:stop] 0/216, RunningAvgSamplesPerSec=10.886006979464831, CurrSamplesPerSec=11.13306049048672, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 216/20000 [37:47<56:12:04, 10.23s/it][2022-12-20 16:04:46,601] [INFO] [timer.py:197:stop] 0/217, RunningAvgSamplesPerSec=10.886762417448393, CurrSamplesPerSec=11.050874527842323, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 217/20000 [38:02<63:42:49, 11.59s/it][2022-12-20 16:04:56,325] [INFO] [timer.py:197:stop] 0/218, RunningAvgSamplesPerSec=10.887094946730725, CurrSamplesPerSec=10.95906354678353, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 218/20000 [38:11<60:37:39, 11.03s/it][2022-12-20 16:05:07,939] [INFO] [timer.py:197:stop] 0/219, RunningAvgSamplesPerSec=10.887224895226755, CurrSamplesPerSec=10.915366659894937, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 219/20000 [38:23<61:34:52, 11.21s/it][2022-12-20 16:05:18,357] [INFO] [logging.py:68:log_dist] [Rank 0] step=220, skipped=2, lr=[8.664255215314613e-06], mom=[[0.9, 0.999]] [2022-12-20 16:05:18,358] [INFO] [timer.py:197:stop] 0/220, RunningAvgSamplesPerSec=10.88642090869577, CurrSamplesPerSec=10.714720176777515, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 220/20000 [38:33<60:16:40, 10.97s/it][2022-12-20 16:05:28,490] [INFO] [timer.py:197:stop] 0/221, RunningAvgSamplesPerSec=10.885675249689, CurrSamplesPerSec=10.725524062835278, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 221/20000 [38:43<58:53:34, 10.72s/it][2022-12-20 16:05:37,631] [INFO] [timer.py:197:stop] 0/222, RunningAvgSamplesPerSec=10.886631359519585, CurrSamplesPerSec=11.100144774902134, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 222/20000 [38:53<56:17:21, 10.25s/it][2022-12-20 16:05:47,709] [INFO] [timer.py:197:stop] 0/223, RunningAvgSamplesPerSec=10.887157914289983, CurrSamplesPerSec=11.004251531998198, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 223/20000 [39:03<56:00:34, 10.20s/it][2022-12-20 16:05:57,344] [INFO] [timer.py:197:stop] 0/224, RunningAvgSamplesPerSec=10.888150046068349, CurrSamplesPerSec=11.111938113520775, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 224/20000 [39:12<55:04:59, 10.03s/it][2022-12-20 16:06:08,201] [INFO] [timer.py:197:stop] 0/225, RunningAvgSamplesPerSec=10.888070526896508, CurrSamplesPerSec=10.87044597484391, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 225/20000 [39:23<56:26:51, 10.28s/it] {'loss': 0.4942, 'learning_rate': 8.700744577655557e-06, 'epoch': 0.01} 1%| | 225/20000 [39:23<56:26:51, 10.28s/it][2022-12-20 16:06:18,961] [INFO] [timer.py:197:stop] 0/226, RunningAvgSamplesPerSec=10.887585762401924, CurrSamplesPerSec=10.780550792498756, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 226/20000 [39:34<57:14:30, 10.42s/it][2022-12-20 16:06:28,666] [INFO] [timer.py:197:stop] 0/227, RunningAvgSamplesPerSec=10.888070796391949, CurrSamplesPerSec=10.997818425910388, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 227/20000 [39:44<56:03:34, 10.21s/it][2022-12-20 16:06:40,740] [INFO] [timer.py:197:stop] 0/228, RunningAvgSamplesPerSec=10.887005821380704, CurrSamplesPerSec=10.652569247634283, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 228/20000 [39:56<59:07:59, 10.77s/it][2022-12-20 16:06:51,218] [INFO] [timer.py:197:stop] 0/229, RunningAvgSamplesPerSec=10.88791805965247, CurrSamplesPerSec=11.098081013228455, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 229/20000 [40:06<58:39:18, 10.68s/it][2022-12-20 16:07:01,088] [INFO] [logging.py:68:log_dist] [Rank 0] step=230, skipped=2, lr=[8.73642479617159e-06], mom=[[0.9, 0.999]] [2022-12-20 16:07:01,089] [INFO] [timer.py:197:stop] 0/230, RunningAvgSamplesPerSec=10.887545508623475, CurrSamplesPerSec=10.803631102153636, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 230/20000 [40:16<57:19:04, 10.44s/it][2022-12-20 16:07:10,199] [INFO] [timer.py:197:stop] 0/231, RunningAvgSamplesPerSec=10.888726777655094, CurrSamplesPerSec=11.164917574777807, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 231/20000 [40:25<55:07:45, 10.04s/it][2022-12-20 16:07:20,639] [INFO] [timer.py:197:stop] 0/232, RunningAvgSamplesPerSec=10.889027190082953, CurrSamplesPerSec=10.958260949577715, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 232/20000 [40:36<55:47:10, 10.16s/it][2022-12-20 16:07:31,001] [INFO] [timer.py:197:stop] 0/233, RunningAvgSamplesPerSec=10.889905045245255, CurrSamplesPerSec=11.09564284453879, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 233/20000 [40:46<56:06:59, 10.22s/it][2022-12-20 16:07:43,061] [INFO] [timer.py:197:stop] 0/234, RunningAvgSamplesPerSec=10.889328232679938, CurrSamplesPerSec=10.757702102468246, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 234/20000 [40:58<59:08:42, 10.77s/it][2022-12-20 16:07:53,603] [INFO] [timer.py:197:stop] 0/235, RunningAvgSamplesPerSec=10.888257880326751, CurrSamplesPerSec=10.645496506763399, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 235/20000 [41:09<58:45:47, 10.70s/it][2022-12-20 16:08:04,019] [INFO] [timer.py:197:stop] 0/236, RunningAvgSamplesPerSec=10.888503029973807, CurrSamplesPerSec=10.945925422015913, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 236/20000 [41:19<58:17:18, 10.62s/it][2022-12-20 16:08:13,945] [INFO] [timer.py:197:stop] 0/237, RunningAvgSamplesPerSec=10.888600012536374, CurrSamplesPerSec=10.91134153239712, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 237/20000 [41:29<57:08:47, 10.41s/it][2022-12-20 16:08:24,096] [INFO] [timer.py:197:stop] 0/238, RunningAvgSamplesPerSec=10.888511009445303, CurrSamplesPerSec=10.8676355533161, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 238/20000 [41:39<56:43:01, 10.33s/it][2022-12-20 16:08:36,532] [INFO] [timer.py:197:stop] 0/239, RunningAvgSamplesPerSec=10.88783256639067, CurrSamplesPerSec=10.730050129177297, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 239/20000 [41:52<60:10:41, 10.96s/it][2022-12-20 16:08:49,796] [INFO] [logging.py:68:log_dist] [Rank 0] step=240, skipped=2, lr=[8.805495997504354e-06], mom=[[0.9, 0.999]] [2022-12-20 16:08:49,797] [INFO] [timer.py:197:stop] 0/240, RunningAvgSamplesPerSec=10.888733193242885, CurrSamplesPerSec=11.106467955555667, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 240/20000 [42:05<63:57:57, 11.65s/it][2022-12-20 16:08:59,027] [INFO] [timer.py:197:stop] 0/241, RunningAvgSamplesPerSec=10.888670533622031, CurrSamplesPerSec=10.873778026154707, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 241/20000 [42:14<59:58:20, 10.93s/it][2022-12-20 16:09:09,920] [INFO] [timer.py:197:stop] 0/242, RunningAvgSamplesPerSec=10.887612802355832, CurrSamplesPerSec=10.640574962284264, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 242/20000 [42:25<59:54:49, 10.92s/it][2022-12-20 16:09:19,898] [INFO] [timer.py:197:stop] 0/243, RunningAvgSamplesPerSec=10.887464763558173, CurrSamplesPerSec=10.852051498553642, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 243/20000 [42:35<58:21:53, 10.63s/it][2022-12-20 16:09:30,122] [INFO] [timer.py:197:stop] 0/244, RunningAvgSamplesPerSec=10.887659322097369, CurrSamplesPerSec=10.934751578272195, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 244/20000 [42:45<57:41:10, 10.51s/it][2022-12-20 16:09:39,395] [INFO] [timer.py:197:stop] 0/245, RunningAvgSamplesPerSec=10.888190776119071, CurrSamplesPerSec=11.018346407340106, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 245/20000 [42:54<55:38:38, 10.14s/it][2022-12-20 16:09:49,731] [INFO] [timer.py:197:stop] 0/246, RunningAvgSamplesPerSec=10.88938690515868, CurrSamplesPerSec=11.188051005939261, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 246/20000 [43:05<55:57:48, 10.20s/it][2022-12-20 16:09:59,567] [INFO] [timer.py:197:stop] 0/247, RunningAvgSamplesPerSec=10.888872414410756, CurrSamplesPerSec=10.764773251195006, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 247/20000 [43:15<55:21:51, 10.09s/it][2022-12-20 16:10:09,595] [INFO] [timer.py:197:stop] 0/248, RunningAvgSamplesPerSec=10.889998580283892, CurrSamplesPerSec=11.173111487846267, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 248/20000 [43:25<55:15:26, 10.07s/it][2022-12-20 16:10:19,500] [INFO] [timer.py:197:stop] 0/249, RunningAvgSamplesPerSec=10.890964893929672, CurrSamplesPerSec=11.134004349154084, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%| | 249/20000 [43:34<54:58:53, 10.02s/it][2022-12-20 16:10:29,922] [INFO] [logging.py:68:log_dist] [Rank 0] step=250, skipped=2, lr=[8.871723942761204e-06], mom=[[0.9, 0.999]] [2022-12-20 16:10:29,923] [INFO] [timer.py:197:stop] 0/250, RunningAvgSamplesPerSec=10.89143250084086, CurrSamplesPerSec=11.00817441731431, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 250/20000 [43:45<55:38:21, 10.14s/it] {'loss': 0.4508, 'learning_rate': 8.871723942761204e-06, 'epoch': 0.01} 1%|▏ | 250/20000 [43:45<55:38:21, 10.14s/it][2022-12-20 16:10:39,802] [INFO] [timer.py:197:stop] 0/251, RunningAvgSamplesPerSec=10.89251357718464, CurrSamplesPerSec=11.16741416194697, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 251/20000 [43:55<55:12:14, 10.06s/it][2022-12-20 16:10:50,668] [INFO] [timer.py:197:stop] 0/252, RunningAvgSamplesPerSec=10.892965876477, CurrSamplesPerSec=11.006769745418833, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 252/20000 [44:06<56:31:20, 10.30s/it][2022-12-20 16:11:00,036] [INFO] [timer.py:197:stop] 0/253, RunningAvgSamplesPerSec=10.893167791357328, CurrSamplesPerSec=10.943882462245636, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 253/20000 [44:15<54:58:47, 10.02s/it][2022-12-20 16:11:09,500] [INFO] [timer.py:197:stop] 0/254, RunningAvgSamplesPerSec=10.894251721779087, CurrSamplesPerSec=11.173315187557867, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 254/20000 [44:24<54:03:24, 9.86s/it][2022-12-20 16:11:19,464] [INFO] [timer.py:197:stop] 0/255, RunningAvgSamplesPerSec=10.894649216346826, CurrSamplesPerSec=10.99575109677756, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 255/20000 [44:34<54:13:58, 9.89s/it][2022-12-20 16:11:29,223] [INFO] [timer.py:197:stop] 0/256, RunningAvgSamplesPerSec=10.895129217724982, CurrSamplesPerSec=11.01794390620716, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 256/20000 [44:44<54:01:05, 9.85s/it][2022-12-20 16:11:40,686] [INFO] [timer.py:197:stop] 0/257, RunningAvgSamplesPerSec=10.894913903706657, CurrSamplesPerSec=10.840498370909302, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 257/20000 [44:56<56:40:10, 10.33s/it][2022-12-20 16:11:50,563] [INFO] [timer.py:197:stop] 0/258, RunningAvgSamplesPerSec=10.894417168327958, CurrSamplesPerSec=10.769211105024253, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 258/20000 [45:06<55:55:02, 10.20s/it][2022-12-20 16:12:01,317] [INFO] [timer.py:197:stop] 0/259, RunningAvgSamplesPerSec=10.8954647896378, CurrSamplesPerSec=11.170451051839526, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 259/20000 [45:16<56:49:50, 10.36s/it][2022-12-20 16:12:12,737] [INFO] [logging.py:68:log_dist] [Rank 0] step=260, skipped=2, lr=[8.935333486807386e-06], mom=[[0.9, 0.999]] [2022-12-20 16:12:12,738] [INFO] [timer.py:197:stop] 0/260, RunningAvgSamplesPerSec=10.896035804772898, CurrSamplesPerSec=11.044798062626349, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 260/20000 [45:28<58:33:58, 10.68s/it][2022-12-20 16:12:23,650] [INFO] [timer.py:197:stop] 0/261, RunningAvgSamplesPerSec=10.895655725258882, CurrSamplesPerSec=10.79847323963583, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 261/20000 [45:39<58:56:36, 10.75s/it][2022-12-20 16:12:34,067] [INFO] [timer.py:197:stop] 0/262, RunningAvgSamplesPerSec=10.89519099288444, CurrSamplesPerSec=10.776145551884362, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 262/20000 [45:49<58:23:37, 10.65s/it][2022-12-20 16:12:44,740] [INFO] [timer.py:197:stop] 0/263, RunningAvgSamplesPerSec=10.896173621027213, CurrSamplesPerSec=11.15781526245709, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 263/20000 [46:00<58:25:47, 10.66s/it][2022-12-20 16:12:54,056] [INFO] [timer.py:197:stop] 0/264, RunningAvgSamplesPerSec=10.895667583023574, CurrSamplesPerSec=10.765179484855546, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 264/20000 [46:09<56:13:05, 10.25s/it][2022-12-20 16:13:04,440] [INFO] [timer.py:197:stop] 0/265, RunningAvgSamplesPerSec=10.89601624096698, CurrSamplesPerSec=10.98813990246162, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 265/20000 [46:19<56:25:38, 10.29s/it][2022-12-20 16:13:14,200] [INFO] [timer.py:197:stop] 0/266, RunningAvgSamplesPerSec=10.89683828238089, CurrSamplesPerSec=11.117428396382376, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 266/20000 [46:29<55:32:55, 10.13s/it][2022-12-20 16:13:25,883] [INFO] [timer.py:197:stop] 0/267, RunningAvgSamplesPerSec=10.897641916623051, CurrSamplesPerSec=11.114030040186568, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 267/20000 [46:41<58:05:32, 10.60s/it][2022-12-20 16:13:37,027] [INFO] [timer.py:197:stop] 0/268, RunningAvgSamplesPerSec=10.897116927316999, CurrSamplesPerSec=10.759755061116676, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 268/20000 [46:52<58:59:16, 10.76s/it][2022-12-20 16:13:47,885] [INFO] [timer.py:197:stop] 0/269, RunningAvgSamplesPerSec=10.897142635563121, CurrSamplesPerSec=10.903985339245242, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 269/20000 [47:03<59:08:32, 10.79s/it][2022-12-20 16:13:59,071] [INFO] [logging.py:68:log_dist] [Rank 0] step=270, skipped=2, lr=[8.996523822524443e-06], mom=[[0.9, 0.999]] [2022-12-20 16:13:59,072] [INFO] [timer.py:197:stop] 0/270, RunningAvgSamplesPerSec=10.895995298154629, CurrSamplesPerSec=10.598063874195647, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 270/20000 [47:14<59:47:28, 10.91s/it][2022-12-20 16:14:08,799] [INFO] [timer.py:197:stop] 0/271, RunningAvgSamplesPerSec=10.895420562072044, CurrSamplesPerSec=10.743546358843084, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 271/20000 [47:24<57:50:40, 10.56s/it][2022-12-20 16:14:19,249] [INFO] [timer.py:197:stop] 0/272, RunningAvgSamplesPerSec=10.895820179017447, CurrSamplesPerSec=11.00439227969208, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 272/20000 [47:34<57:40:05, 10.52s/it][2022-12-20 16:14:29,050] [INFO] [timer.py:197:stop] 0/273, RunningAvgSamplesPerSec=10.895874108249624, CurrSamplesPerSec=10.910454557943526, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 273/20000 [47:44<56:28:39, 10.31s/it][2022-12-20 16:14:39,837] [INFO] [timer.py:197:stop] 0/274, RunningAvgSamplesPerSec=10.89589913132118, CurrSamplesPerSec=10.902684622364886, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 274/20000 [47:55<57:15:53, 10.45s/it][2022-12-20 16:14:49,757] [INFO] [timer.py:197:stop] 0/275, RunningAvgSamplesPerSec=10.895740762381116, CurrSamplesPerSec=10.852834663741803, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 275/20000 [48:05<56:23:27, 10.29s/it] {'loss': 0.4466, 'learning_rate': 9.026267958246849e-06, 'epoch': 0.01} 1%|▏ | 275/20000 [48:05<56:23:27, 10.29s/it][2022-12-20 16:15:01,526] [INFO] [timer.py:197:stop] 0/276, RunningAvgSamplesPerSec=10.896381314105252, CurrSamplesPerSec=11.074114738582688, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 276/20000 [48:16<58:48:50, 10.73s/it][2022-12-20 16:15:14,192] [INFO] [timer.py:197:stop] 0/277, RunningAvgSamplesPerSec=10.897845364546406, CurrSamplesPerSec=11.31438393434815, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 277/20000 [48:29<61:59:06, 11.31s/it][2022-12-20 16:15:24,096] [INFO] [timer.py:197:stop] 0/278, RunningAvgSamplesPerSec=10.897379023609105, CurrSamplesPerSec=10.770632285015239, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 278/20000 [48:39<59:39:50, 10.89s/it][2022-12-20 16:15:33,922] [INFO] [timer.py:197:stop] 0/279, RunningAvgSamplesPerSec=10.896949995487738, CurrSamplesPerSec=10.779815686286794, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 279/20000 [48:49<57:54:42, 10.57s/it][2022-12-20 16:15:43,335] [INFO] [logging.py:68:log_dist] [Rank 0] step=280, skipped=2, lr=[9.055472243083868e-06], mom=[[0.9, 0.999]] [2022-12-20 16:15:43,336] [INFO] [timer.py:197:stop] 0/280, RunningAvgSamplesPerSec=10.897028265775079, CurrSamplesPerSec=10.918752514255754, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 280/20000 [48:58<56:00:24, 10.22s/it][2022-12-20 16:15:54,189] [INFO] [timer.py:197:stop] 0/281, RunningAvgSamplesPerSec=10.897742342756283, CurrSamplesPerSec=11.099952455143136, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 281/20000 [49:09<57:02:10, 10.41s/it][2022-12-20 16:16:04,209] [INFO] [timer.py:197:stop] 0/282, RunningAvgSamplesPerSec=10.89867709026763, CurrSamplesPerSec=11.165888672574905, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 282/20000 [49:19<56:23:18, 10.30s/it][2022-12-20 16:16:14,683] [INFO] [timer.py:197:stop] 0/283, RunningAvgSamplesPerSec=10.900073613306485, CurrSamplesPerSec=11.305703496294502, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 283/20000 [49:30<56:40:48, 10.35s/it][2022-12-20 16:16:24,076] [INFO] [timer.py:197:stop] 0/284, RunningAvgSamplesPerSec=10.900348450964524, CurrSamplesPerSec=10.978130885549863, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 284/20000 [49:39<55:06:19, 10.06s/it][2022-12-20 16:16:35,560] [INFO] [timer.py:197:stop] 0/285, RunningAvgSamplesPerSec=10.900167141144552, CurrSamplesPerSec=10.849277327039427, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 285/20000 [49:51<57:26:20, 10.49s/it][2022-12-20 16:16:45,660] [INFO] [timer.py:197:stop] 0/286, RunningAvgSamplesPerSec=10.899746509851967, CurrSamplesPerSec=10.781998352949975, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 286/20000 [50:01<56:47:52, 10.37s/it][2022-12-20 16:16:55,636] [INFO] [timer.py:197:stop] 0/287, RunningAvgSamplesPerSec=10.89930659075307, CurrSamplesPerSec=10.775790398577719, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 287/20000 [50:11<56:08:45, 10.25s/it][2022-12-20 16:17:08,053] [INFO] [timer.py:197:stop] 0/288, RunningAvgSamplesPerSec=10.899542170546319, CurrSamplesPerSec=10.96710002234803, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 288/20000 [50:23<59:41:52, 10.90s/it][2022-12-20 16:17:18,312] [INFO] [timer.py:197:stop] 0/289, RunningAvgSamplesPerSec=10.899065107608351, CurrSamplesPerSec=10.764317839708719, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 289/20000 [50:33<58:38:07, 10.71s/it][2022-12-20 16:17:28,160] [INFO] [logging.py:68:log_dist] [Rank 0] step=290, skipped=2, lr=[9.11233723905084e-06], mom=[[0.9, 0.999]] [2022-12-20 16:17:28,161] [INFO] [timer.py:197:stop] 0/290, RunningAvgSamplesPerSec=10.89927322241225, CurrSamplesPerSec=10.959332447611798, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 290/20000 [50:43<57:13:11, 10.45s/it][2022-12-20 16:17:38,418] [INFO] [timer.py:197:stop] 0/291, RunningAvgSamplesPerSec=10.899440932179688, CurrSamplesPerSec=10.947957089024174, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 291/20000 [50:53<56:53:52, 10.39s/it][2022-12-20 16:17:51,880] [INFO] [timer.py:197:stop] 0/292, RunningAvgSamplesPerSec=10.89948333116398, CurrSamplesPerSec=10.911750476187844, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 292/20000 [51:07<61:56:07, 11.31s/it][2022-12-20 16:18:01,455] [INFO] [timer.py:197:stop] 0/293, RunningAvgSamplesPerSec=10.900175831348758, CurrSamplesPerSec=11.104783581090224, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 293/20000 [51:16<59:04:38, 10.79s/it][2022-12-20 16:18:15,581] [INFO] [timer.py:197:stop] 0/294, RunningAvgSamplesPerSec=10.899968029808074, CurrSamplesPerSec=10.839832544285104, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 294/20000 [51:31<64:33:01, 11.79s/it][2022-12-20 16:18:26,104] [INFO] [timer.py:197:stop] 0/295, RunningAvgSamplesPerSec=10.899717938763555, CurrSamplesPerSec=10.82717901876283, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 295/20000 [51:41<62:27:41, 11.41s/it][2022-12-20 16:18:36,032] [INFO] [timer.py:197:stop] 0/296, RunningAvgSamplesPerSec=10.900826965004228, CurrSamplesPerSec=11.235790726297507, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 296/20000 [51:51<60:01:21, 10.97s/it][2022-12-20 16:18:47,190] [INFO] [timer.py:197:stop] 0/297, RunningAvgSamplesPerSec=10.900754182888095, CurrSamplesPerSec=10.879398304456547, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 297/20000 [52:02<60:20:07, 11.02s/it][2022-12-20 16:18:57,813] [INFO] [timer.py:197:stop] 0/298, RunningAvgSamplesPerSec=10.899219010866483, CurrSamplesPerSec=10.46446889348492, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 298/20000 [52:13<59:40:23, 10.90s/it][2022-12-20 16:19:07,049] [INFO] [timer.py:197:stop] 0/299, RunningAvgSamplesPerSec=10.900249593379751, CurrSamplesPerSec=11.214115486707493, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 1%|▏ | 299/20000 [52:22<56:55:57, 10.40s/it][2022-12-20 16:19:18,340] [INFO] [logging.py:68:log_dist] [Rank 0] step=300, skipped=2, lr=[9.16726106663399e-06], mom=[[0.9, 0.999]] [2022-12-20 16:19:18,341] [INFO] [timer.py:197:stop] 0/300, RunningAvgSamplesPerSec=10.899510611985564, CurrSamplesPerSec=10.684379697058239, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 300/20000 [52:33<58:23:18, 10.67s/it] {'loss': 0.4026, 'learning_rate': 9.16726106663399e-06, 'epoch': 0.01} 2%|▏ | 300/20000 [52:33<58:23:18, 10.67s/it][2022-12-20 16:19:28,035] [INFO] [timer.py:197:stop] 0/301, RunningAvgSamplesPerSec=10.899390203611214, CurrSamplesPerSec=10.863626639759945, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 301/20000 [52:43<56:46:58, 10.38s/it][2022-12-20 16:19:39,376] [INFO] [timer.py:197:stop] 0/302, RunningAvgSamplesPerSec=10.89978529888285, CurrSamplesPerSec=11.019217538569556, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 302/20000 [52:54<58:21:45, 10.67s/it][2022-12-20 16:19:48,990] [INFO] [timer.py:197:stop] 0/303, RunningAvgSamplesPerSec=10.899730626252348, CurrSamplesPerSec=10.883353563263949, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 303/20000 [53:04<56:37:58, 10.35s/it][2022-12-20 16:20:01,384] [INFO] [timer.py:197:stop] 0/304, RunningAvgSamplesPerSec=10.899290020174456, CurrSamplesPerSec=10.768267171793754, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 304/20000 [53:16<59:59:00, 10.96s/it][2022-12-20 16:20:12,677] [INFO] [timer.py:197:stop] 0/305, RunningAvgSamplesPerSec=10.898585429311987, CurrSamplesPerSec=10.6898871533568, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 305/20000 [53:28<60:31:13, 11.06s/it][2022-12-20 16:20:21,980] [INFO] [timer.py:197:stop] 0/306, RunningAvgSamplesPerSec=10.899502268639184, CurrSamplesPerSec=11.184594897190108, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 306/20000 [53:37<57:37:47, 10.53s/it][2022-12-20 16:20:32,060] [INFO] [timer.py:197:stop] 0/307, RunningAvgSamplesPerSec=10.900251488902672, CurrSamplesPerSec=11.132891499418172, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 307/20000 [53:47<56:52:50, 10.40s/it][2022-12-20 16:20:43,314] [INFO] [timer.py:197:stop] 0/308, RunningAvgSamplesPerSec=10.900239224033196, CurrSamplesPerSec=10.896499726385413, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 308/20000 [53:58<58:16:54, 10.65s/it][2022-12-20 16:20:56,768] [INFO] [timer.py:197:stop] 0/309, RunningAvgSamplesPerSec=10.89874044031648, CurrSamplesPerSec=10.458690783829883, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 309/20000 [54:12<62:52:24, 11.49s/it][2022-12-20 16:21:06,827] [INFO] [logging.py:68:log_dist] [Rank 0] step=310, skipped=2, lr=[9.220371891879027e-06], mom=[[0.9, 0.999]] [2022-12-20 16:21:06,828] [INFO] [timer.py:197:stop] 0/310, RunningAvgSamplesPerSec=10.898868916364634, CurrSamplesPerSec=10.938454787932843, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 310/20000 [54:22<60:30:52, 11.06s/it][2022-12-20 16:21:16,889] [INFO] [timer.py:197:stop] 0/311, RunningAvgSamplesPerSec=10.898012214186242, CurrSamplesPerSec=10.640405407735512, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 311/20000 [54:32<58:51:57, 10.76s/it][2022-12-20 16:21:30,903] [INFO] [timer.py:197:stop] 0/312, RunningAvgSamplesPerSec=10.898361065304165, CurrSamplesPerSec=11.007236425039714, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 312/20000 [54:46<64:11:49, 11.74s/it][2022-12-20 16:21:40,285] [INFO] [timer.py:197:stop] 0/313, RunningAvgSamplesPerSec=10.898534038531256, CurrSamplesPerSec=10.95242172613072, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 313/20000 [54:55<60:19:37, 11.03s/it][2022-12-20 16:21:49,853] [INFO] [timer.py:197:stop] 0/314, RunningAvgSamplesPerSec=10.898725219435638, CurrSamplesPerSec=10.958509679507154, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 314/20000 [55:05<57:55:26, 10.59s/it][2022-12-20 16:22:00,588] [INFO] [timer.py:197:stop] 0/315, RunningAvgSamplesPerSec=10.898393732739867, CurrSamplesPerSec=10.795945218216998, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 315/20000 [55:16<58:09:13, 10.64s/it][2022-12-20 16:22:11,241] [INFO] [timer.py:197:stop] 0/316, RunningAvgSamplesPerSec=10.89931922841427, CurrSamplesPerSec=11.19693461415909, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 316/20000 [55:26<58:10:51, 10.64s/it][2022-12-20 16:22:22,182] [INFO] [timer.py:197:stop] 0/317, RunningAvgSamplesPerSec=10.89911578765523, CurrSamplesPerSec=10.835608793186449, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 317/20000 [55:37<58:40:10, 10.73s/it][2022-12-20 16:22:32,192] [INFO] [timer.py:197:stop] 0/318, RunningAvgSamplesPerSec=10.89934278079967, CurrSamplesPerSec=10.971319307130901, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 318/20000 [55:47<57:29:03, 10.51s/it][2022-12-20 16:22:42,058] [INFO] [timer.py:197:stop] 0/319, RunningAvgSamplesPerSec=10.898980221559956, CurrSamplesPerSec=10.785607037972818, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 319/20000 [55:57<56:25:08, 10.32s/it][2022-12-20 16:22:52,905] [INFO] [logging.py:68:log_dist] [Rank 0] step=320, skipped=2, lr=[9.271785592148743e-06], mom=[[0.9, 0.999]] [2022-12-20 16:22:52,906] [INFO] [timer.py:197:stop] 0/320, RunningAvgSamplesPerSec=10.899177672524587, CurrSamplesPerSec=10.962132305588128, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 320/20000 [56:08<57:16:53, 10.48s/it][2022-12-20 16:23:03,832] [INFO] [timer.py:197:stop] 0/321, RunningAvgSamplesPerSec=10.899840948126501, CurrSamplesPerSec=11.114937998307555, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 321/20000 [56:19<58:00:48, 10.61s/it][2022-12-20 16:23:12,939] [INFO] [timer.py:197:stop] 0/322, RunningAvgSamplesPerSec=10.900980071459227, CurrSamplesPerSec=11.276931923550148, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 322/20000 [56:28<55:32:27, 10.16s/it][2022-12-20 16:23:21,724] [INFO] [timer.py:197:stop] 0/323, RunningAvgSamplesPerSec=10.90205924495145, CurrSamplesPerSec=11.258727968690442, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 323/20000 [56:37<53:16:55, 9.75s/it][2022-12-20 16:23:31,929] [INFO] [timer.py:197:stop] 0/324, RunningAvgSamplesPerSec=10.900402195116921, CurrSamplesPerSec=10.393311091849286, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 324/20000 [56:47<54:01:41, 9.89s/it][2022-12-20 16:23:42,501] [INFO] [timer.py:197:stop] 0/325, RunningAvgSamplesPerSec=10.900152334932114, CurrSamplesPerSec=10.820288666841606, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 325/20000 [56:57<55:09:04, 10.09s/it] {'loss': 0.37, 'learning_rate': 9.296889251455016e-06, 'epoch': 0.02} 2%|▏ | 325/20000 [56:57<55:09:04, 10.09s/it][2022-12-20 16:23:54,264] [INFO] [timer.py:197:stop] 0/326, RunningAvgSamplesPerSec=10.898526688955899, CurrSamplesPerSec=10.39764966686984, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 326/20000 [57:09<57:53:23, 10.59s/it][2022-12-20 16:24:05,133] [INFO] [timer.py:197:stop] 0/327, RunningAvgSamplesPerSec=10.898517725305464, CurrSamplesPerSec=10.89561427865928, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 327/20000 [57:20<58:20:19, 10.68s/it][2022-12-20 16:24:17,480] [INFO] [timer.py:197:stop] 0/328, RunningAvgSamplesPerSec=10.897356275113614, CurrSamplesPerSec=10.532559948992104, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 328/20000 [57:32<61:04:33, 11.18s/it][2022-12-20 16:24:27,897] [INFO] [timer.py:197:stop] 0/329, RunningAvgSamplesPerSec=10.898416713330088, CurrSamplesPerSec=11.25548054616756, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 329/20000 [57:43<59:49:40, 10.95s/it][2022-12-20 16:24:40,016] [INFO] [logging.py:68:log_dist] [Rank 0] step=330, skipped=2, lr=[9.321607278590771e-06], mom=[[0.9, 0.999]] [2022-12-20 16:24:40,016] [INFO] [timer.py:197:stop] 0/330, RunningAvgSamplesPerSec=10.899137128583215, CurrSamplesPerSec=11.139933444784353, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 330/20000 [57:55<61:44:32, 11.30s/it][2022-12-20 16:24:50,142] [INFO] [timer.py:197:stop] 0/331, RunningAvgSamplesPerSec=10.899518930777983, CurrSamplesPerSec=11.026210119729894, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 331/20000 [58:05<59:48:52, 10.95s/it][2022-12-20 16:25:01,778] [INFO] [timer.py:197:stop] 0/332, RunningAvgSamplesPerSec=10.899948064507756, CurrSamplesPerSec=11.042991508345388, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 332/20000 [58:17<60:56:23, 11.15s/it][2022-12-20 16:25:10,840] [INFO] [timer.py:197:stop] 0/333, RunningAvgSamplesPerSec=10.90147528858302, CurrSamplesPerSec=11.429965812139772, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 333/20000 [58:26<57:30:24, 10.53s/it][2022-12-20 16:25:20,733] [INFO] [timer.py:197:stop] 0/334, RunningAvgSamplesPerSec=10.9014778412828, CurrSamplesPerSec=10.90232285060198, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 334/20000 [58:36<56:27:58, 10.34s/it][2022-12-20 16:25:29,649] [INFO] [timer.py:197:stop] 0/335, RunningAvgSamplesPerSec=10.902032058088661, CurrSamplesPerSec=11.08920050402104, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 335/20000 [58:45<54:08:09, 9.91s/it][2022-12-20 16:25:39,029] [INFO] [timer.py:197:stop] 0/336, RunningAvgSamplesPerSec=10.901776631048174, CurrSamplesPerSec=10.817379879373132, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 336/20000 [58:54<53:15:50, 9.75s/it][2022-12-20 16:25:47,903] [INFO] [timer.py:197:stop] 0/337, RunningAvgSamplesPerSec=10.901957172187737, CurrSamplesPerSec=10.962594312210529, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 337/20000 [59:03<51:49:24, 9.49s/it][2022-12-20 16:25:57,651] [INFO] [timer.py:197:stop] 0/338, RunningAvgSamplesPerSec=10.901379699031233, CurrSamplesPerSec=10.711309209575475, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 338/20000 [59:13<52:14:45, 9.57s/it][2022-12-20 16:26:06,841] [INFO] [timer.py:197:stop] 0/339, RunningAvgSamplesPerSec=10.9016868974658, CurrSamplesPerSec=11.005895166212987, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 339/20000 [59:22<51:37:38, 9.45s/it][2022-12-20 16:26:16,836] [INFO] [logging.py:68:log_dist] [Rank 0] step=340, skipped=2, lr=[9.369932589894792e-06], mom=[[0.9, 0.999]] [2022-12-20 16:26:16,837] [INFO] [timer.py:197:stop] 0/340, RunningAvgSamplesPerSec=10.900757257241368, CurrSamplesPerSec=10.59624614796998, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 340/20000 [59:32<52:30:50, 9.62s/it][2022-12-20 16:26:26,596] [INFO] [timer.py:197:stop] 0/341, RunningAvgSamplesPerSec=10.900442305898197, CurrSamplesPerSec=10.795021337458385, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 341/20000 [59:42<52:44:47, 9.66s/it][2022-12-20 16:26:35,998] [INFO] [timer.py:197:stop] 0/342, RunningAvgSamplesPerSec=10.899254773039964, CurrSamplesPerSec=10.51106168571323, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 342/20000 [59:51<52:19:17, 9.58s/it][2022-12-20 16:26:45,175] [INFO] [timer.py:197:stop] 0/343, RunningAvgSamplesPerSec=10.899917945072438, CurrSamplesPerSec=11.130173572115616, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 343/20000 [1:00:00<51:39:24, 9.46s/it][2022-12-20 16:26:54,051] [INFO] [timer.py:197:stop] 0/344, RunningAvgSamplesPerSec=10.900954885376335, CurrSamplesPerSec=11.266441669785095, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 344/20000 [1:00:09<50:41:49, 9.29s/it][2022-12-20 16:27:03,199] [INFO] [timer.py:197:stop] 0/345, RunningAvgSamplesPerSec=10.901721591178958, CurrSamplesPerSec=11.170416653940011, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 345/20000 [1:00:18<50:28:07, 9.24s/it][2022-12-20 16:27:12,344] [INFO] [timer.py:197:stop] 0/346, RunningAvgSamplesPerSec=10.902476090414554, CurrSamplesPerSec=11.167580485924447, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 346/20000 [1:00:27<50:18:19, 9.21s/it][2022-12-20 16:27:22,204] [INFO] [timer.py:197:stop] 0/347, RunningAvgSamplesPerSec=10.901441593108443, CurrSamplesPerSec=10.556855888258406, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 347/20000 [1:00:37<51:21:35, 9.41s/it][2022-12-20 16:27:31,501] [INFO] [timer.py:197:stop] 0/348, RunningAvgSamplesPerSec=10.901824926102567, CurrSamplesPerSec=11.035703596802405, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 348/20000 [1:00:46<51:10:30, 9.37s/it][2022-12-20 16:27:41,010] [INFO] [timer.py:197:stop] 0/349, RunningAvgSamplesPerSec=10.901163021378705, CurrSamplesPerSec=10.676869711864018, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 349/20000 [1:00:56<51:23:31, 9.41s/it][2022-12-20 16:27:50,242] [INFO] [logging.py:68:log_dist] [Rank 0] step=350, skipped=2, lr=[9.416848797368692e-06], mom=[[0.9, 0.999]] [2022-12-20 16:27:50,242] [INFO] [timer.py:197:stop] 0/350, RunningAvgSamplesPerSec=10.901926185908684, CurrSamplesPerSec=11.173356579503103, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 350/20000 [1:01:05<51:05:27, 9.36s/it] {'loss': 0.3864, 'learning_rate': 9.416848797368692e-06, 'epoch': 0.02} 2%|▏ | 350/20000 [1:01:05<51:05:27, 9.36s/it][2022-12-20 16:28:00,192] [INFO] [timer.py:197:stop] 0/351, RunningAvgSamplesPerSec=10.902487346546465, CurrSamplesPerSec=11.101343366342922, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 351/20000 [1:01:15<52:03:13, 9.54s/it][2022-12-20 16:28:10,174] [INFO] [timer.py:197:stop] 0/352, RunningAvgSamplesPerSec=10.902887690650292, CurrSamplesPerSec=11.044426798370381, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 352/20000 [1:01:25<52:47:23, 9.67s/it][2022-12-20 16:28:19,953] [INFO] [timer.py:197:stop] 0/353, RunningAvgSamplesPerSec=10.903662693372823, CurrSamplesPerSec=11.181853998105334, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 353/20000 [1:01:35<52:57:06, 9.70s/it][2022-12-20 16:28:31,097] [INFO] [timer.py:197:stop] 0/354, RunningAvgSamplesPerSec=10.902343298248251, CurrSamplesPerSec=10.458157409309578, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 354/20000 [1:01:46<55:18:27, 10.13s/it][2022-12-20 16:28:40,833] [INFO] [timer.py:197:stop] 0/355, RunningAvgSamplesPerSec=10.901590125637396, CurrSamplesPerSec=10.642785148725965, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 355/20000 [1:01:56<54:39:07, 10.02s/it][2022-12-20 16:28:51,263] [INFO] [timer.py:197:stop] 0/356, RunningAvgSamplesPerSec=10.901190184107644, CurrSamplesPerSec=10.761820884091094, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 356/20000 [1:02:06<55:19:48, 10.14s/it][2022-12-20 16:29:01,657] [INFO] [timer.py:197:stop] 0/357, RunningAvgSamplesPerSec=10.900430822547968, CurrSamplesPerSec=10.638104302425928, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 357/20000 [1:02:17<55:44:29, 10.22s/it][2022-12-20 16:29:11,412] [INFO] [timer.py:197:stop] 0/358, RunningAvgSamplesPerSec=10.89991481673451, CurrSamplesPerSec=10.719768783883463, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 358/20000 [1:02:26<54:59:04, 10.08s/it][2022-12-20 16:29:20,384] [INFO] [timer.py:197:stop] 0/359, RunningAvgSamplesPerSec=10.900788388556471, CurrSamplesPerSec=11.220939285932548, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 359/20000 [1:02:35<53:10:20, 9.75s/it][2022-12-20 16:29:30,253] [INFO] [logging.py:68:log_dist] [Rank 0] step=360, skipped=2, lr=[9.462435753420545e-06], mom=[[0.9, 0.999]] [2022-12-20 16:29:30,253] [INFO] [timer.py:197:stop] 0/360, RunningAvgSamplesPerSec=10.901037455473391, CurrSamplesPerSec=10.990687646117124, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 360/20000 [1:02:45<53:22:17, 9.78s/it][2022-12-20 16:29:41,076] [INFO] [timer.py:197:stop] 0/361, RunningAvgSamplesPerSec=10.90088238352275, CurrSamplesPerSec=10.845648703718197, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 361/20000 [1:02:56<55:04:16, 10.10s/it][2022-12-20 16:29:51,247] [INFO] [timer.py:197:stop] 0/362, RunningAvgSamplesPerSec=10.90176961821914, CurrSamplesPerSec=11.229900589182332, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 362/20000 [1:03:06<55:11:32, 10.12s/it][2022-12-20 16:30:01,313] [INFO] [timer.py:197:stop] 0/363, RunningAvgSamplesPerSec=10.90256807368767, CurrSamplesPerSec=11.197817865268664, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 363/20000 [1:03:16<55:06:18, 10.10s/it][2022-12-20 16:30:15,994] [INFO] [timer.py:197:stop] 0/364, RunningAvgSamplesPerSec=10.902351852227296, CurrSamplesPerSec=10.824852304036067, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 364/20000 [1:03:31<62:35:37, 11.48s/it][2022-12-20 16:30:25,307] [INFO] [timer.py:197:stop] 0/365, RunningAvgSamplesPerSec=10.903048537226564, CurrSamplesPerSec=11.161237203589586, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 365/20000 [1:03:40<59:03:07, 10.83s/it][2022-12-20 16:30:34,657] [INFO] [timer.py:197:stop] 0/366, RunningAvgSamplesPerSec=10.902781874487173, CurrSamplesPerSec=10.806837473468068, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 366/20000 [1:03:50<56:37:55, 10.38s/it][2022-12-20 16:30:44,440] [INFO] [timer.py:197:stop] 0/367, RunningAvgSamplesPerSec=10.90339185872118, CurrSamplesPerSec=11.130054508503001, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 367/20000 [1:03:59<55:38:47, 10.20s/it][2022-12-20 16:30:54,567] [INFO] [timer.py:197:stop] 0/368, RunningAvgSamplesPerSec=10.902778805866062, CurrSamplesPerSec=10.683526685329591, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 368/20000 [1:04:10<55:31:04, 10.18s/it][2022-12-20 16:31:04,004] [INFO] [timer.py:197:stop] 0/369, RunningAvgSamplesPerSec=10.902335275290696, CurrSamplesPerSec=10.742391107691573, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 369/20000 [1:04:19<54:17:56, 9.96s/it][2022-12-20 16:31:14,126] [INFO] [logging.py:68:log_dist] [Rank 0] step=370, skipped=2, lr=[9.506766709342328e-06], mom=[[0.9, 0.999]] [2022-12-20 16:31:14,127] [INFO] [timer.py:197:stop] 0/370, RunningAvgSamplesPerSec=10.90085326373778, CurrSamplesPerSec=10.382870217533787, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 370/20000 [1:04:29<54:33:59, 10.01s/it][2022-12-20 16:31:24,151] [INFO] [timer.py:197:stop] 0/371, RunningAvgSamplesPerSec=10.901048616371508, CurrSamplesPerSec=10.973416933948265, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 371/20000 [1:04:39<54:35:29, 10.01s/it][2022-12-20 16:31:34,034] [INFO] [timer.py:197:stop] 0/372, RunningAvgSamplesPerSec=10.901395944116214, CurrSamplesPerSec=11.031088767659739, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 372/20000 [1:04:49<54:22:41, 9.97s/it][2022-12-20 16:31:45,657] [INFO] [timer.py:197:stop] 0/373, RunningAvgSamplesPerSec=10.901503729615639, CurrSamplesPerSec=10.941531191391668, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 373/20000 [1:05:01<57:04:21, 10.47s/it][2022-12-20 16:31:54,972] [INFO] [timer.py:197:stop] 0/374, RunningAvgSamplesPerSec=10.900768091256802, CurrSamplesPerSec=10.634530012887712, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 374/20000 [1:05:10<55:10:59, 10.12s/it][2022-12-20 16:32:04,884] [INFO] [timer.py:197:stop] 0/375, RunningAvgSamplesPerSec=10.900345440284923, CurrSamplesPerSec=10.745360780874792, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 375/20000 [1:05:20<54:50:15, 10.06s/it] {'loss': 0.3801, 'learning_rate': 9.528482449516371e-06, 'epoch': 0.02} 2%|▏ | 375/20000 [1:05:20<54:50:15, 10.06s/it][2022-12-20 16:32:16,409] [INFO] [timer.py:197:stop] 0/376, RunningAvgSamplesPerSec=10.90054150703787, CurrSamplesPerSec=10.974169709715952, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 376/20000 [1:05:31<57:13:50, 10.50s/it][2022-12-20 16:32:25,980] [INFO] [timer.py:197:stop] 0/377, RunningAvgSamplesPerSec=10.900345871354938, CurrSamplesPerSec=10.827667279884528, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 377/20000 [1:05:41<55:42:36, 10.22s/it][2022-12-20 16:32:36,065] [INFO] [timer.py:197:stop] 0/378, RunningAvgSamplesPerSec=10.900556530295095, CurrSamplesPerSec=10.980131858710422, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 378/20000 [1:05:51<55:29:09, 10.18s/it][2022-12-20 16:32:45,595] [INFO] [timer.py:197:stop] 0/379, RunningAvgSamplesPerSec=10.900651452134712, CurrSamplesPerSec=10.936459617751147, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 379/20000 [1:06:01<54:25:17, 9.99s/it][2022-12-20 16:32:55,351] [INFO] [logging.py:68:log_dist] [Rank 0] step=380, skipped=2, lr=[9.549909023428816e-06], mom=[[0.9, 0.999]] [2022-12-20 16:32:55,352] [INFO] [timer.py:197:stop] 0/380, RunningAvgSamplesPerSec=10.900708133623024, CurrSamplesPerSec=10.92211913855881, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 380/20000 [1:06:10<54:02:43, 9.92s/it][2022-12-20 16:33:04,541] [INFO] [timer.py:197:stop] 0/381, RunningAvgSamplesPerSec=10.900763061284447, CurrSamplesPerSec=10.921565444369664, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 381/20000 [1:06:20<52:51:11, 9.70s/it][2022-12-20 16:33:15,618] [INFO] [timer.py:197:stop] 0/382, RunningAvgSamplesPerSec=10.900307552730217, CurrSamplesPerSec=10.730368387969104, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 382/20000 [1:06:31<55:06:13, 10.11s/it][2022-12-20 16:33:26,761] [INFO] [timer.py:197:stop] 0/383, RunningAvgSamplesPerSec=10.899954300658672, CurrSamplesPerSec=10.767355796055352, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 383/20000 [1:06:42<56:47:13, 10.42s/it][2022-12-20 16:33:36,129] [INFO] [timer.py:197:stop] 0/384, RunningAvgSamplesPerSec=10.900310188097887, CurrSamplesPerSec=11.037615782001836, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 384/20000 [1:06:51<55:03:47, 10.11s/it][2022-12-20 16:33:46,063] [INFO] [timer.py:197:stop] 0/385, RunningAvgSamplesPerSec=10.900907665787313, CurrSamplesPerSec=11.134038061352143, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 385/20000 [1:07:01<54:46:44, 10.05s/it][2022-12-20 16:33:55,545] [INFO] [timer.py:197:stop] 0/386, RunningAvgSamplesPerSec=10.900832980349994, CurrSamplesPerSec=10.872303516563614, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 386/20000 [1:07:11<53:50:35, 9.88s/it][2022-12-20 16:34:05,177] [INFO] [timer.py:197:stop] 0/387, RunningAvgSamplesPerSec=10.900673331029203, CurrSamplesPerSec=10.839711732442117, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 387/20000 [1:07:20<53:25:50, 9.81s/it][2022-12-20 16:34:14,961] [INFO] [timer.py:197:stop] 0/388, RunningAvgSamplesPerSec=10.901108462285539, CurrSamplesPerSec=11.071255566138674, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 388/20000 [1:07:30<53:23:24, 9.80s/it][2022-12-20 16:34:24,833] [INFO] [timer.py:197:stop] 0/389, RunningAvgSamplesPerSec=10.90048877810119, CurrSamplesPerSec=10.666439908927629, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 389/20000 [1:07:40<53:30:11, 9.82s/it][2022-12-20 16:34:35,513] [INFO] [logging.py:68:log_dist] [Rank 0] step=390, skipped=2, lr=[9.591924776618972e-06], mom=[[0.9, 0.999]] [2022-12-20 16:34:35,514] [INFO] [timer.py:197:stop] 0/390, RunningAvgSamplesPerSec=10.900552962371638, CurrSamplesPerSec=10.92544915308631, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 390/20000 [1:07:50<54:54:17, 10.08s/it][2022-12-20 16:34:46,566] [INFO] [timer.py:197:stop] 0/391, RunningAvgSamplesPerSec=10.900199694883074, CurrSamplesPerSec=10.764838436465364, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 391/20000 [1:08:02<56:29:32, 10.37s/it][2022-12-20 16:34:56,110] [INFO] [timer.py:197:stop] 0/392, RunningAvgSamplesPerSec=10.89982521309731, CurrSamplesPerSec=10.756077883913012, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 392/20000 [1:08:11<55:08:14, 10.12s/it][2022-12-20 16:35:06,901] [INFO] [timer.py:197:stop] 0/393, RunningAvgSamplesPerSec=10.899196691228926, CurrSamplesPerSec=10.659478266808748, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 393/20000 [1:08:22<56:13:31, 10.32s/it][2022-12-20 16:35:17,576] [INFO] [timer.py:197:stop] 0/394, RunningAvgSamplesPerSec=10.89964129616681, CurrSamplesPerSec=11.076306704674892, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 394/20000 [1:08:33<56:47:51, 10.43s/it][2022-12-20 16:35:26,757] [INFO] [timer.py:197:stop] 0/395, RunningAvgSamplesPerSec=10.90046174285835, CurrSamplesPerSec=11.231880200622417, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 395/20000 [1:08:42<54:45:20, 10.05s/it][2022-12-20 16:35:37,025] [INFO] [timer.py:197:stop] 0/396, RunningAvgSamplesPerSec=10.900348072098911, CurrSamplesPerSec=10.855858259011802, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 396/20000 [1:08:52<55:06:00, 10.12s/it][2022-12-20 16:35:47,039] [INFO] [timer.py:197:stop] 0/397, RunningAvgSamplesPerSec=10.900754181387544, CurrSamplesPerSec=11.063151038554192, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 397/20000 [1:09:02<54:55:38, 10.09s/it][2022-12-20 16:35:56,916] [INFO] [timer.py:197:stop] 0/398, RunningAvgSamplesPerSec=10.90039128605319, CurrSamplesPerSec=10.758912826401097, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 398/20000 [1:09:12<54:34:52, 10.02s/it][2022-12-20 16:36:07,618] [INFO] [timer.py:197:stop] 0/399, RunningAvgSamplesPerSec=10.899917410085498, CurrSamplesPerSec=10.71544643140134, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 399/20000 [1:09:23<55:41:09, 10.23s/it][2022-12-20 16:36:18,033] [INFO] [logging.py:68:log_dist] [Rank 0] step=400, skipped=2, lr=[9.632871309784314e-06], mom=[[0.9, 0.999]] [2022-12-20 16:36:18,033] [INFO] [timer.py:197:stop] 0/400, RunningAvgSamplesPerSec=10.899895099846805, CurrSamplesPerSec=10.891045144600708, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 400/20000 [1:09:33<55:59:23, 10.28s/it] {'loss': 0.3893, 'learning_rate': 9.632871309784314e-06, 'epoch': 0.02} 2%|▏ | 400/20000 [1:09:33<55:59:23, 10.28s/it][2022-12-20 16:36:28,284] [INFO] [timer.py:197:stop] 0/401, RunningAvgSamplesPerSec=10.899161587071115, CurrSamplesPerSec=10.61485781785214, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 401/20000 [1:09:43<55:55:56, 10.27s/it][2022-12-20 16:36:38,424] [INFO] [timer.py:197:stop] 0/402, RunningAvgSamplesPerSec=10.89830076611718, CurrSamplesPerSec=10.56535259804466, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 402/20000 [1:09:53<55:42:38, 10.23s/it][2022-12-20 16:36:48,881] [INFO] [timer.py:197:stop] 0/403, RunningAvgSamplesPerSec=10.897865474032978, CurrSamplesPerSec=10.726493520878856, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 403/20000 [1:10:04<56:04:26, 10.30s/it][2022-12-20 16:37:00,505] [INFO] [timer.py:197:stop] 0/404, RunningAvgSamplesPerSec=10.897980493072549, CurrSamplesPerSec=10.9442996495922, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 404/20000 [1:10:15<58:13:54, 10.70s/it][2022-12-20 16:37:10,393] [INFO] [timer.py:197:stop] 0/405, RunningAvgSamplesPerSec=10.898900355652053, CurrSamplesPerSec=11.28170547441795, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 405/20000 [1:10:25<56:54:19, 10.45s/it][2022-12-20 16:37:20,110] [INFO] [timer.py:197:stop] 0/406, RunningAvgSamplesPerSec=10.898190226201091, CurrSamplesPerSec=10.619348500407014, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 406/20000 [1:10:35<55:41:55, 10.23s/it][2022-12-20 16:37:29,795] [INFO] [timer.py:197:stop] 0/407, RunningAvgSamplesPerSec=10.89872663744721, CurrSamplesPerSec=11.119844365939212, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 407/20000 [1:10:45<54:48:00, 10.07s/it][2022-12-20 16:37:41,614] [INFO] [timer.py:197:stop] 0/408, RunningAvgSamplesPerSec=10.89856613431378, CurrSamplesPerSec=10.833948723123026, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 408/20000 [1:10:57<57:39:18, 10.59s/it][2022-12-20 16:37:51,657] [INFO] [timer.py:197:stop] 0/409, RunningAvgSamplesPerSec=10.898227108828614, CurrSamplesPerSec=10.762303699598508, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 409/20000 [1:11:07<56:45:04, 10.43s/it][2022-12-20 16:38:01,422] [INFO] [logging.py:68:log_dist] [Rank 0] step=410, skipped=2, lr=[9.672801694334265e-06], mom=[[0.9, 0.999]] [2022-12-20 16:38:01,423] [INFO] [timer.py:197:stop] 0/410, RunningAvgSamplesPerSec=10.89876163630985, CurrSamplesPerSec=11.120756499325116, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 410/20000 [1:11:16<55:40:02, 10.23s/it][2022-12-20 16:38:10,907] [INFO] [timer.py:197:stop] 0/411, RunningAvgSamplesPerSec=10.899328362961064, CurrSamplesPerSec=11.13557703272834, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 411/20000 [1:11:26<54:26:47, 10.01s/it][2022-12-20 16:38:20,366] [INFO] [timer.py:197:stop] 0/412, RunningAvgSamplesPerSec=10.899753851595614, CurrSamplesPerSec=11.076609270532852, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 412/20000 [1:11:35<53:33:07, 9.84s/it][2022-12-20 16:38:30,402] [INFO] [timer.py:197:stop] 0/413, RunningAvgSamplesPerSec=10.900226068237652, CurrSamplesPerSec=11.097344632994918, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 413/20000 [1:11:45<53:51:53, 9.90s/it][2022-12-20 16:38:41,297] [INFO] [timer.py:197:stop] 0/414, RunningAvgSamplesPerSec=10.900261623311184, CurrSamplesPerSec=10.914894423323236, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 414/20000 [1:11:56<55:29:09, 10.20s/it][2022-12-20 16:38:51,807] [INFO] [timer.py:197:stop] 0/415, RunningAvgSamplesPerSec=10.90031916456688, CurrSamplesPerSec=10.924077960104302, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 415/20000 [1:12:07<55:59:32, 10.29s/it][2022-12-20 16:39:02,343] [INFO] [timer.py:197:stop] 0/416, RunningAvgSamplesPerSec=10.90036070326349, CurrSamplesPerSec=10.917543293180328, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 416/20000 [1:12:17<56:23:13, 10.37s/it][2022-12-20 16:39:12,608] [INFO] [timer.py:197:stop] 0/417, RunningAvgSamplesPerSec=10.900614068085444, CurrSamplesPerSec=11.006528748421198, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 417/20000 [1:12:28<56:13:13, 10.34s/it][2022-12-20 16:39:22,234] [INFO] [timer.py:197:stop] 0/418, RunningAvgSamplesPerSec=10.901087494677716, CurrSamplesPerSec=11.101174418596957, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 418/20000 [1:12:37<55:03:36, 10.12s/it][2022-12-20 16:39:31,648] [INFO] [timer.py:197:stop] 0/419, RunningAvgSamplesPerSec=10.89997511029397, CurrSamplesPerSec=10.456112428404664, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 419/20000 [1:12:47<53:54:02, 9.91s/it][2022-12-20 16:39:41,960] [INFO] [logging.py:68:log_dist] [Rank 0] step=420, skipped=2, lr=[9.71176514582969e-06], mom=[[0.9, 0.999]] [2022-12-20 16:39:41,961] [INFO] [timer.py:197:stop] 0/420, RunningAvgSamplesPerSec=10.900406953619713, CurrSamplesPerSec=11.083517934450477, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 420/20000 [1:12:57<54:33:23, 10.03s/it][2022-12-20 16:39:51,828] [INFO] [timer.py:197:stop] 0/421, RunningAvgSamplesPerSec=10.899781121529433, CurrSamplesPerSec=10.644328900262488, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 421/20000 [1:13:07<54:17:13, 9.98s/it][2022-12-20 16:40:01,101] [INFO] [timer.py:197:stop] 0/422, RunningAvgSamplesPerSec=10.9001369396631, CurrSamplesPerSec=11.051297182579626, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 422/20000 [1:13:16<53:07:38, 9.77s/it][2022-12-20 16:40:11,320] [INFO] [timer.py:197:stop] 0/423, RunningAvgSamplesPerSec=10.899545470304504, CurrSamplesPerSec=10.656676862086714, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 423/20000 [1:13:26<53:51:32, 9.90s/it][2022-12-20 16:40:20,459] [INFO] [timer.py:197:stop] 0/424, RunningAvgSamplesPerSec=10.89995916146805, CurrSamplesPerSec=11.076958018757367, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 424/20000 [1:13:35<52:36:29, 9.67s/it][2022-12-20 16:40:31,345] [INFO] [timer.py:197:stop] 0/425, RunningAvgSamplesPerSec=10.900018303950647, CurrSamplesPerSec=10.925033846241506, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 425/20000 [1:13:46<54:34:54, 10.04s/it] {'loss': 0.4079, 'learning_rate': 9.73089868785391e-06, 'epoch': 0.02} 2%|▏ | 425/20000 [1:13:46<54:34:54, 10.04s/it][2022-12-20 16:40:43,079] [INFO] [timer.py:197:stop] 0/426, RunningAvgSamplesPerSec=10.899721881319023, CurrSamplesPerSec=10.775764444320982, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 426/20000 [1:13:58<57:20:42, 10.55s/it][2022-12-20 16:40:52,385] [INFO] [timer.py:197:stop] 0/427, RunningAvgSamplesPerSec=10.900417043016313, CurrSamplesPerSec=11.203376996386554, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 427/20000 [1:14:07<55:19:02, 10.17s/it][2022-12-20 16:41:02,752] [INFO] [timer.py:197:stop] 0/428, RunningAvgSamplesPerSec=10.900455566828516, CurrSamplesPerSec=10.916852873925214, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 428/20000 [1:14:18<55:37:45, 10.23s/it][2022-12-20 16:41:16,242] [INFO] [timer.py:197:stop] 0/429, RunningAvgSamplesPerSec=10.90028824138575, CurrSamplesPerSec=10.829471782402521, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 429/20000 [1:14:31<60:56:20, 11.21s/it][2022-12-20 16:41:26,030] [INFO] [logging.py:68:log_dist] [Rank 0] step=430, skipped=2, lr=[9.74980738869138e-06], mom=[[0.9, 0.999]] [2022-12-20 16:41:26,030] [INFO] [timer.py:197:stop] 0/430, RunningAvgSamplesPerSec=10.90013672796927, CurrSamplesPerSec=10.835823117492117, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 430/20000 [1:14:41<58:37:07, 10.78s/it][2022-12-20 16:41:35,296] [INFO] [timer.py:197:stop] 0/431, RunningAvgSamplesPerSec=10.89988234515573, CurrSamplesPerSec=10.792085766290862, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 431/20000 [1:14:50<56:08:29, 10.33s/it][2022-12-20 16:41:44,716] [INFO] [timer.py:197:stop] 0/432, RunningAvgSamplesPerSec=10.899542530262288, CurrSamplesPerSec=10.755690437142235, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 432/20000 [1:15:00<54:39:31, 10.06s/it][2022-12-20 16:41:55,151] [INFO] [timer.py:197:stop] 0/433, RunningAvgSamplesPerSec=10.899545068273968, CurrSamplesPerSec=10.90063652283463, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 433/20000 [1:15:10<55:16:27, 10.17s/it][2022-12-20 16:42:04,527] [INFO] [timer.py:197:stop] 0/434, RunningAvgSamplesPerSec=10.8993202448279, CurrSamplesPerSec=10.803277178334563, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 434/20000 [1:15:19<53:58:36, 9.93s/it][2022-12-20 16:42:16,179] [INFO] [timer.py:197:stop] 0/435, RunningAvgSamplesPerSec=10.899868761306863, CurrSamplesPerSec=11.142106223293764, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 435/20000 [1:15:31<56:46:44, 10.45s/it][2022-12-20 16:42:27,812] [INFO] [timer.py:197:stop] 0/436, RunningAvgSamplesPerSec=10.90047673136685, CurrSamplesPerSec=11.17025814743767, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 436/20000 [1:15:43<58:42:33, 10.80s/it][2022-12-20 16:42:38,268] [INFO] [timer.py:197:stop] 0/437, RunningAvgSamplesPerSec=10.900120433716936, CurrSamplesPerSec=10.747655166593077, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 437/20000 [1:15:53<58:08:24, 10.70s/it][2022-12-20 16:42:48,033] [INFO] [timer.py:197:stop] 0/438, RunningAvgSamplesPerSec=10.900149148675913, CurrSamplesPerSec=10.912654519283008, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 438/20000 [1:16:03<56:36:54, 10.42s/it][2022-12-20 16:42:57,776] [INFO] [timer.py:197:stop] 0/439, RunningAvgSamplesPerSec=10.900595218462287, CurrSamplesPerSec=11.098622923030012, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 439/20000 [1:16:13<55:30:35, 10.22s/it][2022-12-20 16:43:07,796] [INFO] [logging.py:68:log_dist] [Rank 0] step=440, skipped=2, lr=[9.786970978782465e-06], mom=[[0.9, 0.999]] [2022-12-20 16:43:07,797] [INFO] [timer.py:197:stop] 0/440, RunningAvgSamplesPerSec=10.900280161077069, CurrSamplesPerSec=10.764321292920972, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 440/20000 [1:16:23<55:11:21, 10.16s/it][2022-12-20 16:43:17,717] [INFO] [timer.py:197:stop] 0/441, RunningAvgSamplesPerSec=10.90045515692604, CurrSamplesPerSec=10.97764736659391, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 441/20000 [1:16:33<54:47:58, 10.09s/it][2022-12-20 16:43:28,151] [INFO] [timer.py:197:stop] 0/442, RunningAvgSamplesPerSec=10.900703250230288, CurrSamplesPerSec=11.010717911862642, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 442/20000 [1:16:43<55:21:48, 10.19s/it][2022-12-20 16:43:38,521] [INFO] [timer.py:197:stop] 0/443, RunningAvgSamplesPerSec=10.900708564404434, CurrSamplesPerSec=10.903047303836363, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 443/20000 [1:16:53<55:39:07, 10.24s/it][2022-12-20 16:43:48,603] [INFO] [timer.py:197:stop] 0/444, RunningAvgSamplesPerSec=10.900479116745045, CurrSamplesPerSec=10.800225439008996, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 444/20000 [1:17:04<55:23:10, 10.20s/it][2022-12-20 16:43:59,234] [INFO] [timer.py:197:stop] 0/445, RunningAvgSamplesPerSec=10.900999445784622, CurrSamplesPerSec=11.135953064589911, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 445/20000 [1:17:14<56:05:29, 10.33s/it][2022-12-20 16:44:09,200] [INFO] [timer.py:197:stop] 0/446, RunningAvgSamplesPerSec=10.900347997198756, CurrSamplesPerSec=10.619216169584996, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 446/20000 [1:17:24<55:30:04, 10.22s/it][2022-12-20 16:44:18,936] [INFO] [timer.py:197:stop] 0/447, RunningAvgSamplesPerSec=10.900773105511929, CurrSamplesPerSec=11.092854599653737, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 447/20000 [1:17:34<54:42:49, 10.07s/it][2022-12-20 16:44:28,476] [INFO] [timer.py:197:stop] 0/448, RunningAvgSamplesPerSec=10.900759998736657, CurrSamplesPerSec=10.894930609798095, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 448/20000 [1:17:43<53:50:25, 9.91s/it][2022-12-20 16:44:38,468] [INFO] [timer.py:197:stop] 0/449, RunningAvgSamplesPerSec=10.900382238727317, CurrSamplesPerSec=10.734471412907729, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 449/20000 [1:17:53<53:58:01, 9.94s/it][2022-12-20 16:44:48,632] [INFO] [logging.py:68:log_dist] [Rank 0] step=450, skipped=2, lr=[9.823295589572114e-06], mom=[[0.9, 0.999]] [2022-12-20 16:44:48,632] [INFO] [timer.py:197:stop] 0/450, RunningAvgSamplesPerSec=10.899974337715669, CurrSamplesPerSec=10.720649000832898, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 450/20000 [1:18:04<54:20:01, 10.01s/it] {'loss': 0.3554, 'learning_rate': 9.823295589572114e-06, 'epoch': 0.02} 2%|▏ | 450/20000 [1:18:04<54:20:01, 10.01s/it][2022-12-20 16:44:57,951] [INFO] [timer.py:197:stop] 0/451, RunningAvgSamplesPerSec=10.900481927575685, CurrSamplesPerSec=11.132738211410976, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 451/20000 [1:18:13<53:12:48, 9.80s/it][2022-12-20 16:45:08,183] [INFO] [timer.py:197:stop] 0/452, RunningAvgSamplesPerSec=10.900508373220815, CurrSamplesPerSec=10.912395445497832, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 452/20000 [1:18:23<53:54:51, 9.93s/it][2022-12-20 16:45:19,490] [INFO] [timer.py:197:stop] 0/453, RunningAvgSamplesPerSec=10.899071059913284, CurrSamplesPerSec=10.288588840425287, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 453/20000 [1:18:34<56:09:25, 10.34s/it][2022-12-20 16:45:30,568] [INFO] [timer.py:197:stop] 0/454, RunningAvgSamplesPerSec=10.898187033630862, CurrSamplesPerSec=10.513592271415384, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 454/20000 [1:18:46<57:21:06, 10.56s/it][2022-12-20 16:45:40,533] [INFO] [timer.py:197:stop] 0/455, RunningAvgSamplesPerSec=10.898885262699478, CurrSamplesPerSec=11.223917601569937, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 455/20000 [1:18:56<56:22:34, 10.38s/it][2022-12-20 16:45:51,797] [INFO] [timer.py:197:stop] 0/456, RunningAvgSamplesPerSec=10.899367726464057, CurrSamplesPerSec=11.122406090130056, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 456/20000 [1:19:07<57:48:15, 10.65s/it][2022-12-20 16:46:01,660] [INFO] [timer.py:197:stop] 0/457, RunningAvgSamplesPerSec=10.898885070939253, CurrSamplesPerSec=10.684087548592446, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 457/20000 [1:19:17<56:31:25, 10.41s/it][2022-12-20 16:46:13,193] [INFO] [timer.py:197:stop] 0/458, RunningAvgSamplesPerSec=10.898143088735432, CurrSamplesPerSec=10.570706777751539, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 458/20000 [1:19:28<58:20:48, 10.75s/it][2022-12-20 16:46:24,325] [INFO] [timer.py:197:stop] 0/459, RunningAvgSamplesPerSec=10.898339903781554, CurrSamplesPerSec=10.988834420015802, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 459/20000 [1:19:39<58:58:04, 10.86s/it][2022-12-20 16:46:33,460] [INFO] [logging.py:68:log_dist] [Rank 0] step=460, skipped=2, lr=[9.858818266705698e-06], mom=[[0.9, 0.999]] [2022-12-20 16:46:33,460] [INFO] [timer.py:197:stop] 0/460, RunningAvgSamplesPerSec=10.89865749647255, CurrSamplesPerSec=11.04576064850296, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 460/20000 [1:19:48<56:09:02, 10.35s/it][2022-12-20 16:46:42,523] [INFO] [timer.py:197:stop] 0/461, RunningAvgSamplesPerSec=10.898848186829081, CurrSamplesPerSec=10.986891431066015, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 461/20000 [1:19:57<54:03:34, 9.96s/it][2022-12-20 16:46:53,460] [INFO] [timer.py:197:stop] 0/462, RunningAvgSamplesPerSec=10.898698558292482, CurrSamplesPerSec=10.830450073257268, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 462/20000 [1:20:08<55:38:52, 10.25s/it][2022-12-20 16:47:04,009] [INFO] [timer.py:197:stop] 0/463, RunningAvgSamplesPerSec=10.89873377460483, CurrSamplesPerSec=10.914957445014219, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 463/20000 [1:20:19<56:07:33, 10.34s/it][2022-12-20 16:47:13,628] [INFO] [timer.py:197:stop] 0/464, RunningAvgSamplesPerSec=10.898967731538447, CurrSamplesPerSec=11.00790221156206, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 464/20000 [1:20:29<54:56:47, 10.13s/it][2022-12-20 16:47:23,744] [INFO] [timer.py:197:stop] 0/465, RunningAvgSamplesPerSec=10.898627690118039, CurrSamplesPerSec=10.743765656750007, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 465/20000 [1:20:39<54:55:42, 10.12s/it][2022-12-20 16:47:33,836] [INFO] [timer.py:197:stop] 0/466, RunningAvgSamplesPerSec=10.898725146615142, CurrSamplesPerSec=10.944035501610525, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 466/20000 [1:20:49<54:52:33, 10.11s/it][2022-12-20 16:47:44,356] [INFO] [timer.py:197:stop] 0/467, RunningAvgSamplesPerSec=10.897863297486843, CurrSamplesPerSec=10.512149601808979, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 467/20000 [1:20:59<55:32:05, 10.24s/it][2022-12-20 16:47:54,194] [INFO] [timer.py:197:stop] 0/468, RunningAvgSamplesPerSec=10.897990319161558, CurrSamplesPerSec=10.95737796005551, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 468/20000 [1:21:09<54:53:04, 10.12s/it][2022-12-20 16:48:04,416] [INFO] [timer.py:197:stop] 0/469, RunningAvgSamplesPerSec=10.89785362962918, CurrSamplesPerSec=10.83452724089799, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 469/20000 [1:21:19<55:03:18, 10.15s/it][2022-12-20 16:48:14,245] [INFO] [logging.py:68:log_dist] [Rank 0] step=470, skipped=2, lr=[9.893573655076761e-06], mom=[[0.9, 0.999]] [2022-12-20 16:48:14,246] [INFO] [timer.py:197:stop] 0/470, RunningAvgSamplesPerSec=10.8980266966181, CurrSamplesPerSec=10.979454158428222, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 470/20000 [1:21:29<54:32:05, 10.05s/it][2022-12-20 16:48:24,159] [INFO] [timer.py:197:stop] 0/471, RunningAvgSamplesPerSec=10.898390101580981, CurrSamplesPerSec=11.07116561294832, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 471/20000 [1:21:39<54:18:18, 10.01s/it][2022-12-20 16:48:34,264] [INFO] [timer.py:197:stop] 0/472, RunningAvgSamplesPerSec=10.897807433197325, CurrSamplesPerSec=10.63123474313375, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 472/20000 [1:21:49<54:27:21, 10.04s/it][2022-12-20 16:48:44,165] [INFO] [timer.py:197:stop] 0/473, RunningAvgSamplesPerSec=10.898037280317293, CurrSamplesPerSec=11.007149314524364, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 473/20000 [1:21:59<54:13:38, 10.00s/it][2022-12-20 16:48:53,687] [INFO] [timer.py:197:stop] 0/474, RunningAvgSamplesPerSec=10.898057454937728, CurrSamplesPerSec=10.907568011223397, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 474/20000 [1:22:09<53:27:06, 9.85s/it][2022-12-20 16:49:04,312] [INFO] [timer.py:197:stop] 0/475, RunningAvgSamplesPerSec=10.897971562325015, CurrSamplesPerSec=10.85758082419429, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 475/20000 [1:22:19<54:42:08, 10.09s/it] {'loss': 0.3197, 'learning_rate': 9.910673836465484e-06, 'epoch': 0.02} 2%|▏ | 475/20000 [1:22:19<54:42:08, 10.09s/it][2022-12-20 16:49:15,444] [INFO] [timer.py:197:stop] 0/476, RunningAvgSamplesPerSec=10.89778249555159, CurrSamplesPerSec=10.809083327185908, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 476/20000 [1:22:30<56:24:05, 10.40s/it][2022-12-20 16:49:26,232] [INFO] [timer.py:197:stop] 0/477, RunningAvgSamplesPerSec=10.897866536973869, CurrSamplesPerSec=10.93784862843478, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 477/20000 [1:22:41<57:01:49, 10.52s/it][2022-12-20 16:49:37,374] [INFO] [timer.py:197:stop] 0/478, RunningAvgSamplesPerSec=10.89790425717846, CurrSamplesPerSec=10.915850922346866, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 478/20000 [1:22:52<58:02:44, 10.70s/it][2022-12-20 16:49:47,970] [INFO] [timer.py:197:stop] 0/479, RunningAvgSamplesPerSec=10.897101084218086, CurrSamplesPerSec=10.527775281922978, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 479/20000 [1:23:03<57:51:58, 10.67s/it][2022-12-20 16:49:57,479] [INFO] [logging.py:68:log_dist] [Rank 0] step=480, skipped=2, lr=[9.927594201889966e-06], mom=[[0.9, 0.999]] [2022-12-20 16:49:57,479] [INFO] [timer.py:197:stop] 0/480, RunningAvgSamplesPerSec=10.897399393998775, CurrSamplesPerSec=11.041579754161507, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 480/20000 [1:23:12<55:58:22, 10.32s/it][2022-12-20 16:50:07,972] [INFO] [timer.py:197:stop] 0/481, RunningAvgSamplesPerSec=10.897795769289653, CurrSamplesPerSec=11.090622629764836, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 481/20000 [1:23:23<56:14:45, 10.37s/it][2022-12-20 16:50:17,746] [INFO] [timer.py:197:stop] 0/482, RunningAvgSamplesPerSec=10.897873535071692, CurrSamplesPerSec=10.935251371848551, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 482/20000 [1:23:33<55:16:02, 10.19s/it][2022-12-20 16:50:27,632] [INFO] [timer.py:197:stop] 0/483, RunningAvgSamplesPerSec=10.897810405554628, CurrSamplesPerSec=10.867592435713464, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 483/20000 [1:23:43<54:45:52, 10.10s/it][2022-12-20 16:50:37,715] [INFO] [timer.py:197:stop] 0/484, RunningAvgSamplesPerSec=10.897506113717036, CurrSamplesPerSec=10.75308548555245, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 484/20000 [1:23:53<54:43:56, 10.10s/it][2022-12-20 16:50:48,072] [INFO] [timer.py:197:stop] 0/485, RunningAvgSamplesPerSec=10.897196338598013, CurrSamplesPerSec=10.74990705201675, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 485/20000 [1:24:03<55:09:11, 10.17s/it][2022-12-20 16:50:57,633] [INFO] [timer.py:197:stop] 0/486, RunningAvgSamplesPerSec=10.897652439136646, CurrSamplesPerSec=11.122503790743894, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 486/20000 [1:24:13<54:09:10, 9.99s/it][2022-12-20 16:51:08,716] [INFO] [timer.py:197:stop] 0/487, RunningAvgSamplesPerSec=10.897821919162151, CurrSamplesPerSec=10.980473659772748, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 487/20000 [1:24:24<55:55:34, 10.32s/it][2022-12-20 16:51:18,021] [INFO] [timer.py:197:stop] 0/488, RunningAvgSamplesPerSec=10.897824806871622, CurrSamplesPerSec=10.899225526350067, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 488/20000 [1:24:33<54:16:35, 10.01s/it][2022-12-20 16:51:28,911] [INFO] [timer.py:197:stop] 0/489, RunningAvgSamplesPerSec=10.897493543735004, CurrSamplesPerSec=10.738848225029646, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 489/20000 [1:24:44<55:41:55, 10.28s/it][2022-12-20 16:51:39,789] [INFO] [logging.py:68:log_dist] [Rank 0] step=490, skipped=2, lr=[9.96091033869825e-06], mom=[[0.9, 0.999]] [2022-12-20 16:51:39,790] [INFO] [timer.py:197:stop] 0/490, RunningAvgSamplesPerSec=10.897766463454863, CurrSamplesPerSec=11.03232282000874, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 490/20000 [1:24:55<56:40:25, 10.46s/it][2022-12-20 16:51:50,396] [INFO] [timer.py:197:stop] 0/491, RunningAvgSamplesPerSec=10.896932610526267, CurrSamplesPerSec=10.504689779253772, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 491/20000 [1:25:05<56:54:46, 10.50s/it][2022-12-20 16:52:00,183] [INFO] [timer.py:197:stop] 0/492, RunningAvgSamplesPerSec=10.896983279430858, CurrSamplesPerSec=10.921816954996014, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 492/20000 [1:25:15<55:44:47, 10.29s/it][2022-12-20 16:52:10,155] [INFO] [timer.py:197:stop] 0/493, RunningAvgSamplesPerSec=10.896576830712858, CurrSamplesPerSec=10.700998888423097, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 493/20000 [1:25:25<55:13:52, 10.19s/it][2022-12-20 16:52:21,362] [INFO] [timer.py:197:stop] 0/494, RunningAvgSamplesPerSec=10.896676824389967, CurrSamplesPerSec=10.945996390418706, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 494/20000 [1:25:36<56:52:34, 10.50s/it][2022-12-20 16:52:30,918] [INFO] [timer.py:197:stop] 0/495, RunningAvgSamplesPerSec=10.896717765474618, CurrSamplesPerSec=10.91689815920022, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 495/20000 [1:25:46<55:20:37, 10.21s/it][2022-12-20 16:52:40,830] [INFO] [timer.py:197:stop] 0/496, RunningAvgSamplesPerSec=10.896683467645978, CurrSamplesPerSec=10.879800888653705, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 496/20000 [1:25:56<54:50:59, 10.12s/it][2022-12-20 16:52:50,206] [INFO] [timer.py:197:stop] 0/497, RunningAvgSamplesPerSec=10.896529186599311, CurrSamplesPerSec=10.82084478915543, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 497/20000 [1:26:05<53:37:52, 9.90s/it][2022-12-20 16:53:00,679] [INFO] [timer.py:197:stop] 0/498, RunningAvgSamplesPerSec=10.89675471592019, CurrSamplesPerSec=11.009549645854312, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 498/20000 [1:26:16<54:33:39, 10.07s/it][2022-12-20 16:53:11,578] [INFO] [timer.py:197:stop] 0/499, RunningAvgSamplesPerSec=10.896330781510141, CurrSamplesPerSec=10.69004807138416, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▏ | 499/20000 [1:26:27<55:54:06, 10.32s/it][2022-12-20 16:53:22,184] [INFO] [logging.py:68:log_dist] [Rank 0] step=500, skipped=2, lr=[9.993550644973805e-06], mom=[[0.9, 0.999]] [2022-12-20 16:53:22,185] [INFO] [timer.py:197:stop] 0/500, RunningAvgSamplesPerSec=10.895971035157908, CurrSamplesPerSec=10.72006930863368, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 2%|▎ | 500/20000 [1:26:37<56:21:55, 10.41s/it] {'loss': 0.3405, 'learning_rate': 9.993550644973805e-06, 'epoch': 0.03} 2%|▎ | 500/20000 [1:26:37<56:21:55, 10.41s/it][2022-12-20 16:53:32,917] [INFO] [timer.py:197:stop] 0/501, RunningAvgSamplesPerSec=10.896170555473182, CurrSamplesPerSec=10.996447928250364, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 501/20000 [1:26:48<56:53:31, 10.50s/it][2022-12-20 16:53:43,654] [INFO] [timer.py:197:stop] 0/502, RunningAvgSamplesPerSec=10.895801124455597, CurrSamplesPerSec=10.7145281506401, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 502/20000 [1:26:59<57:16:09, 10.57s/it][2022-12-20 16:53:53,182] [INFO] [timer.py:197:stop] 0/503, RunningAvgSamplesPerSec=10.895980482716604, CurrSamplesPerSec=10.986405341536306, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 503/20000 [1:27:08<55:34:00, 10.26s/it][2022-12-20 16:54:02,967] [INFO] [timer.py:197:stop] 0/504, RunningAvgSamplesPerSec=10.894559068236422, CurrSamplesPerSec=10.226204937545532, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 504/20000 [1:27:18<54:47:30, 10.12s/it][2022-12-20 16:54:13,152] [INFO] [timer.py:197:stop] 0/505, RunningAvgSamplesPerSec=10.893290356837694, CurrSamplesPerSec=10.291643522473153, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 505/20000 [1:27:28<54:53:53, 10.14s/it][2022-12-20 16:54:23,693] [INFO] [timer.py:197:stop] 0/506, RunningAvgSamplesPerSec=10.892729988891945, CurrSamplesPerSec=10.617988380850797, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 506/20000 [1:27:39<55:33:01, 10.26s/it][2022-12-20 16:54:33,780] [INFO] [timer.py:197:stop] 0/507, RunningAvgSamplesPerSec=10.892799337568201, CurrSamplesPerSec=10.92786380501925, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 507/20000 [1:27:49<55:16:07, 10.21s/it][2022-12-20 16:54:44,121] [INFO] [timer.py:197:stop] 0/508, RunningAvgSamplesPerSec=10.89274568756526, CurrSamplesPerSec=10.86571979002301, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 508/20000 [1:27:59<55:29:04, 10.25s/it][2022-12-20 16:54:54,877] [INFO] [timer.py:197:stop] 0/509, RunningAvgSamplesPerSec=10.893005070803088, CurrSamplesPerSec=11.025856860645868, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 509/20000 [1:28:10<56:18:24, 10.40s/it][2022-12-20 16:55:04,894] [INFO] [logging.py:68:log_dist] [Rank 0] step=510, skipped=2, lr=[9.996410256410257e-06], mom=[[0.9, 0.999]] [2022-12-20 16:55:04,895] [INFO] [timer.py:197:stop] 0/510, RunningAvgSamplesPerSec=10.892969237741934, CurrSamplesPerSec=10.874832184489927, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 510/20000 [1:28:20<55:41:00, 10.29s/it][2022-12-20 16:55:15,321] [INFO] [timer.py:197:stop] 0/511, RunningAvgSamplesPerSec=10.892917486831578, CurrSamplesPerSec=10.86669144409253, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 511/20000 [1:28:30<55:54:33, 10.33s/it][2022-12-20 16:55:25,645] [INFO] [timer.py:197:stop] 0/512, RunningAvgSamplesPerSec=10.893280397212607, CurrSamplesPerSec=11.0811945716749, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 512/20000 [1:28:41<55:54:05, 10.33s/it][2022-12-20 16:55:36,064] [INFO] [timer.py:197:stop] 0/513, RunningAvgSamplesPerSec=10.89297985008624, CurrSamplesPerSec=10.741831843868008, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 513/20000 [1:28:51<56:02:54, 10.35s/it][2022-12-20 16:55:46,277] [INFO] [timer.py:197:stop] 0/514, RunningAvgSamplesPerSec=10.892538233644796, CurrSamplesPerSec=10.671461352249379, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 514/20000 [1:29:01<55:48:56, 10.31s/it][2022-12-20 16:55:55,779] [INFO] [timer.py:197:stop] 0/515, RunningAvgSamplesPerSec=10.892706026236112, CurrSamplesPerSec=10.979300126891511, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 515/20000 [1:29:11<54:29:54, 10.07s/it][2022-12-20 16:56:05,359] [INFO] [timer.py:197:stop] 0/516, RunningAvgSamplesPerSec=10.892812580704103, CurrSamplesPerSec=10.947751254104405, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 516/20000 [1:29:20<53:42:03, 9.92s/it][2022-12-20 16:56:15,171] [INFO] [timer.py:197:stop] 0/517, RunningAvgSamplesPerSec=10.892779350296856, CurrSamplesPerSec=10.875725713962519, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 517/20000 [1:29:30<53:31:07, 9.89s/it][2022-12-20 16:56:25,061] [INFO] [timer.py:197:stop] 0/518, RunningAvgSamplesPerSec=10.892319988722964, CurrSamplesPerSec=10.660787222152699, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 518/20000 [1:29:40<53:31:09, 9.89s/it][2022-12-20 16:56:36,075] [INFO] [timer.py:197:stop] 0/519, RunningAvgSamplesPerSec=10.891789248503446, CurrSamplesPerSec=10.62465705473299, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 519/20000 [1:29:51<55:20:26, 10.23s/it][2022-12-20 16:56:45,735] [INFO] [logging.py:68:log_dist] [Rank 0] step=520, skipped=2, lr=[9.991282051282052e-06], mom=[[0.9, 0.999]] [2022-12-20 16:56:45,736] [INFO] [timer.py:197:stop] 0/520, RunningAvgSamplesPerSec=10.891943337737585, CurrSamplesPerSec=10.972195575380288, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 520/20000 [1:30:01<54:25:09, 10.06s/it][2022-12-20 16:56:56,173] [INFO] [timer.py:197:stop] 0/521, RunningAvgSamplesPerSec=10.8915612064543, CurrSamplesPerSec=10.697157135745053, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 521/20000 [1:30:11<55:02:02, 10.17s/it][2022-12-20 16:57:13,882] [INFO] [timer.py:197:stop] 0/522, RunningAvgSamplesPerSec=10.890985876765717, CurrSamplesPerSec=10.600372804252416, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 522/20000 [1:30:29<67:16:01, 12.43s/it][2022-12-20 16:57:23,653] [INFO] [timer.py:197:stop] 0/523, RunningAvgSamplesPerSec=10.890572046153691, CurrSamplesPerSec=10.679557678047262, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 523/20000 [1:30:39<62:56:37, 11.63s/it][2022-12-20 16:57:34,212] [INFO] [timer.py:197:stop] 0/524, RunningAvgSamplesPerSec=10.89044626533504, CurrSamplesPerSec=10.825307176920267, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 524/20000 [1:30:49<61:11:44, 11.31s/it][2022-12-20 16:57:45,109] [INFO] [timer.py:197:stop] 0/525, RunningAvgSamplesPerSec=10.889992732630061, CurrSamplesPerSec=10.658295318870831, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 525/20000 [1:31:00<60:31:06, 11.19s/it] {'loss': 0.3328, 'learning_rate': 9.98871794871795e-06, 'epoch': 0.03} 3%|▎ | 525/20000 [1:31:00<60:31:06, 11.19s/it][2022-12-20 16:57:56,075] [INFO] [timer.py:197:stop] 0/526, RunningAvgSamplesPerSec=10.889917379330091, CurrSamplesPerSec=10.850649980862288, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 526/20000 [1:31:11<60:09:26, 11.12s/it][2022-12-20 16:58:05,539] [INFO] [timer.py:197:stop] 0/527, RunningAvgSamplesPerSec=10.890393676628358, CurrSamplesPerSec=11.145838776973031, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 527/20000 [1:31:21<57:27:53, 10.62s/it][2022-12-20 16:58:19,185] [INFO] [timer.py:197:stop] 0/528, RunningAvgSamplesPerSec=10.890833501603632, CurrSamplesPerSec=11.126753123327996, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 528/20000 [1:31:34<62:21:58, 11.53s/it][2022-12-20 16:58:31,667] [INFO] [timer.py:197:stop] 0/529, RunningAvgSamplesPerSec=10.88992913436394, CurrSamplesPerSec=10.43417807009139, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 529/20000 [1:31:47<63:54:27, 11.82s/it][2022-12-20 16:58:42,210] [INFO] [logging.py:68:log_dist] [Rank 0] step=530, skipped=2, lr=[9.986153846153846e-06], mom=[[0.9, 0.999]] [2022-12-20 16:58:42,211] [INFO] [timer.py:197:stop] 0/530, RunningAvgSamplesPerSec=10.8900230301273, CurrSamplesPerSec=10.939732399932806, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 530/20000 [1:31:57<61:50:29, 11.43s/it][2022-12-20 16:58:51,726] [INFO] [timer.py:197:stop] 0/531, RunningAvgSamplesPerSec=10.890649980028275, CurrSamplesPerSec=11.2320771191971, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 531/20000 [1:32:07<58:43:26, 10.86s/it][2022-12-20 16:59:01,767] [INFO] [timer.py:197:stop] 0/532, RunningAvgSamplesPerSec=10.891045537285688, CurrSamplesPerSec=11.104402301550849, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 532/20000 [1:32:17<57:23:37, 10.61s/it][2022-12-20 16:59:13,437] [INFO] [timer.py:197:stop] 0/533, RunningAvgSamplesPerSec=10.891461558038621, CurrSamplesPerSec=11.116517269199777, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 533/20000 [1:32:28<59:06:17, 10.93s/it][2022-12-20 16:59:23,408] [INFO] [timer.py:197:stop] 0/534, RunningAvgSamplesPerSec=10.891024972887177, CurrSamplesPerSec=10.66403898772546, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 534/20000 [1:32:38<57:32:48, 10.64s/it][2022-12-20 16:59:33,039] [INFO] [timer.py:197:stop] 0/535, RunningAvgSamplesPerSec=10.891331152883469, CurrSamplesPerSec=11.05669672175173, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 535/20000 [1:32:48<55:54:10, 10.34s/it][2022-12-20 16:59:43,580] [INFO] [timer.py:197:stop] 0/536, RunningAvgSamplesPerSec=10.891288475762234, CurrSamplesPerSec=10.86858906774075, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 536/20000 [1:32:59<56:13:38, 10.40s/it][2022-12-20 16:59:53,735] [INFO] [timer.py:197:stop] 0/537, RunningAvgSamplesPerSec=10.890898009712366, CurrSamplesPerSec=10.686313297642949, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 537/20000 [1:33:09<55:49:38, 10.33s/it][2022-12-20 17:00:04,196] [INFO] [timer.py:197:stop] 0/538, RunningAvgSamplesPerSec=10.890903105138129, CurrSamplesPerSec=10.893629841713821, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 538/20000 [1:33:19<56:02:36, 10.37s/it][2022-12-20 17:00:13,876] [INFO] [timer.py:197:stop] 0/539, RunningAvgSamplesPerSec=10.89063068345386, CurrSamplesPerSec=10.746548077384622, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 539/20000 [1:33:29<54:55:39, 10.16s/it][2022-12-20 17:00:23,003] [INFO] [logging.py:68:log_dist] [Rank 0] step=540, skipped=2, lr=[9.981025641025642e-06], mom=[[0.9, 0.999]] [2022-12-20 17:00:23,004] [INFO] [timer.py:197:stop] 0/540, RunningAvgSamplesPerSec=10.891332466898156, CurrSamplesPerSec=11.2817234918929, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 540/20000 [1:33:38<53:14:56, 9.85s/it][2022-12-20 17:00:33,682] [INFO] [timer.py:197:stop] 0/541, RunningAvgSamplesPerSec=10.89154313485961, CurrSamplesPerSec=11.006076569050522, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 541/20000 [1:33:49<54:35:18, 10.10s/it][2022-12-20 17:00:43,752] [INFO] [timer.py:197:stop] 0/542, RunningAvgSamplesPerSec=10.891167152510434, CurrSamplesPerSec=10.692221364912804, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 542/20000 [1:33:59<54:32:15, 10.09s/it][2022-12-20 17:00:53,486] [INFO] [timer.py:197:stop] 0/543, RunningAvgSamplesPerSec=10.891234580685673, CurrSamplesPerSec=10.927768159346199, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 543/20000 [1:34:08<53:57:29, 9.98s/it][2022-12-20 17:01:06,942] [INFO] [timer.py:197:stop] 0/544, RunningAvgSamplesPerSec=10.8911775928845, CurrSamplesPerSec=10.860434380224806, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 544/20000 [1:34:22<59:35:08, 11.03s/it][2022-12-20 17:01:18,139] [INFO] [timer.py:197:stop] 0/545, RunningAvgSamplesPerSec=10.891000711544391, CurrSamplesPerSec=10.795969098810488, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 545/20000 [1:34:33<59:51:35, 11.08s/it][2022-12-20 17:01:27,502] [INFO] [timer.py:197:stop] 0/546, RunningAvgSamplesPerSec=10.891077615185136, CurrSamplesPerSec=10.932997317044938, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 546/20000 [1:34:42<57:04:43, 10.56s/it][2022-12-20 17:01:37,989] [INFO] [timer.py:197:stop] 0/547, RunningAvgSamplesPerSec=10.891047280194213, CurrSamplesPerSec=10.874570057496353, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 547/20000 [1:34:53<56:57:10, 10.54s/it][2022-12-20 17:01:49,602] [INFO] [timer.py:197:stop] 0/548, RunningAvgSamplesPerSec=10.89066422218827, CurrSamplesPerSec=10.685831320716112, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 548/20000 [1:35:05<58:41:22, 10.86s/it][2022-12-20 17:01:58,985] [INFO] [timer.py:197:stop] 0/549, RunningAvgSamplesPerSec=10.890623505730773, CurrSamplesPerSec=10.868437691103763, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 549/20000 [1:35:14<56:17:30, 10.42s/it][2022-12-20 17:02:09,243] [INFO] [logging.py:68:log_dist] [Rank 0] step=550, skipped=2, lr=[9.975897435897436e-06], mom=[[0.9, 0.999]] [2022-12-20 17:02:09,244] [INFO] [timer.py:197:stop] 0/550, RunningAvgSamplesPerSec=10.89008074068077, CurrSamplesPerSec=10.6010815466183, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 550/20000 [1:35:24<56:01:44, 10.37s/it] {'loss': 0.3147, 'learning_rate': 9.975897435897436e-06, 'epoch': 0.03} 3%|▎ | 550/20000 [1:35:24<56:01:44, 10.37s/it][2022-12-20 17:02:20,210] [INFO] [timer.py:197:stop] 0/551, RunningAvgSamplesPerSec=10.889959515729066, CurrSamplesPerSec=10.8239317617856, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 551/20000 [1:35:35<56:59:31, 10.55s/it][2022-12-20 17:02:29,966] [INFO] [timer.py:197:stop] 0/552, RunningAvgSamplesPerSec=10.889997896779802, CurrSamplesPerSec=10.911110018157038, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 552/20000 [1:35:45<55:42:08, 10.31s/it][2022-12-20 17:02:39,753] [INFO] [timer.py:197:stop] 0/553, RunningAvgSamplesPerSec=10.89056323288562, CurrSamplesPerSec=11.210653558672231, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 553/20000 [1:35:55<54:51:04, 10.15s/it][2022-12-20 17:02:52,006] [INFO] [timer.py:197:stop] 0/554, RunningAvgSamplesPerSec=10.890278126378186, CurrSamplesPerSec=10.735422310284072, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 554/20000 [1:36:07<58:15:04, 10.78s/it][2022-12-20 17:03:04,029] [INFO] [timer.py:197:stop] 0/555, RunningAvgSamplesPerSec=10.890577159365215, CurrSamplesPerSec=11.058188419412335, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 555/20000 [1:36:19<60:15:13, 11.16s/it][2022-12-20 17:03:13,139] [INFO] [timer.py:197:stop] 0/556, RunningAvgSamplesPerSec=10.890599770559964, CurrSamplesPerSec=10.903118160176925, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 556/20000 [1:36:28<56:56:14, 10.54s/it][2022-12-20 17:03:23,184] [INFO] [timer.py:197:stop] 0/557, RunningAvgSamplesPerSec=10.890563457880058, CurrSamplesPerSec=10.870483392386872, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 557/20000 [1:36:38<56:07:46, 10.39s/it][2022-12-20 17:03:33,867] [INFO] [timer.py:197:stop] 0/558, RunningAvgSamplesPerSec=10.891074271062902, CurrSamplesPerSec=11.182166550201151, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 558/20000 [1:36:49<56:35:48, 10.48s/it][2022-12-20 17:03:44,179] [INFO] [timer.py:197:stop] 0/559, RunningAvgSamplesPerSec=10.891203722052257, CurrSamplesPerSec=10.963658149933464, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 559/20000 [1:36:59<56:19:20, 10.43s/it][2022-12-20 17:03:54,171] [INFO] [logging.py:68:log_dist] [Rank 0] step=560, skipped=2, lr=[9.970769230769232e-06], mom=[[0.9, 0.999]] [2022-12-20 17:03:54,172] [INFO] [timer.py:197:stop] 0/560, RunningAvgSamplesPerSec=10.89148344819568, CurrSamplesPerSec=11.0495562711389, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 560/20000 [1:37:09<55:36:42, 10.30s/it][2022-12-20 17:04:04,344] [INFO] [timer.py:197:stop] 0/561, RunningAvgSamplesPerSec=10.890758102705293, CurrSamplesPerSec=10.500543206159891, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 561/20000 [1:37:19<55:24:12, 10.26s/it][2022-12-20 17:04:15,186] [INFO] [timer.py:197:stop] 0/562, RunningAvgSamplesPerSec=10.891157995860455, CurrSamplesPerSec=11.119391118942259, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 562/20000 [1:37:30<56:20:33, 10.43s/it][2022-12-20 17:04:28,109] [INFO] [timer.py:197:stop] 0/563, RunningAvgSamplesPerSec=10.891274318613574, CurrSamplesPerSec=10.956807715708559, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 563/20000 [1:37:43<60:22:13, 11.18s/it][2022-12-20 17:04:37,807] [INFO] [timer.py:197:stop] 0/564, RunningAvgSamplesPerSec=10.891171659072313, CurrSamplesPerSec=10.83388313543794, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 564/20000 [1:37:53<57:57:54, 10.74s/it][2022-12-20 17:04:48,365] [INFO] [timer.py:197:stop] 0/565, RunningAvgSamplesPerSec=10.891469282443067, CurrSamplesPerSec=11.061347136159107, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 565/20000 [1:38:03<57:40:19, 10.68s/it][2022-12-20 17:05:01,347] [INFO] [timer.py:197:stop] 0/566, RunningAvgSamplesPerSec=10.89155685888126, CurrSamplesPerSec=10.941087012378913, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 566/20000 [1:38:16<61:23:41, 11.37s/it][2022-12-20 17:05:11,249] [INFO] [timer.py:197:stop] 0/567, RunningAvgSamplesPerSec=10.89149673512946, CurrSamplesPerSec=10.857692372875906, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 567/20000 [1:38:26<59:00:34, 10.93s/it][2022-12-20 17:05:21,179] [INFO] [timer.py:197:stop] 0/568, RunningAvgSamplesPerSec=10.891863865873171, CurrSamplesPerSec=11.103327050551684, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 568/20000 [1:38:36<57:22:57, 10.63s/it][2022-12-20 17:05:31,329] [INFO] [timer.py:197:stop] 0/569, RunningAvgSamplesPerSec=10.892157436024771, CurrSamplesPerSec=11.060896822179888, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 569/20000 [1:38:46<56:36:03, 10.49s/it][2022-12-20 17:05:41,045] [INFO] [logging.py:68:log_dist] [Rank 0] step=570, skipped=2, lr=[9.965641025641026e-06], mom=[[0.9, 0.999]] [2022-12-20 17:05:41,046] [INFO] [timer.py:197:stop] 0/570, RunningAvgSamplesPerSec=10.892294913053366, CurrSamplesPerSec=10.970807243814297, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 570/20000 [1:38:56<55:21:08, 10.26s/it][2022-12-20 17:05:51,599] [INFO] [timer.py:197:stop] 0/571, RunningAvgSamplesPerSec=10.892164018974292, CurrSamplesPerSec=10.81832110710166, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 571/20000 [1:39:07<55:49:54, 10.35s/it][2022-12-20 17:06:02,159] [INFO] [timer.py:197:stop] 0/572, RunningAvgSamplesPerSec=10.892257493293, CurrSamplesPerSec=10.945705827504517, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 572/20000 [1:39:17<56:10:35, 10.41s/it][2022-12-20 17:06:14,972] [INFO] [timer.py:197:stop] 0/573, RunningAvgSamplesPerSec=10.89219001319719, CurrSamplesPerSec=10.853861944172909, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 573/20000 [1:39:30<60:03:55, 11.13s/it][2022-12-20 17:06:24,751] [INFO] [timer.py:197:stop] 0/574, RunningAvgSamplesPerSec=10.892631354641097, CurrSamplesPerSec=11.150616372342846, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 574/20000 [1:39:40<57:52:21, 10.72s/it][2022-12-20 17:06:34,230] [INFO] [timer.py:197:stop] 0/575, RunningAvgSamplesPerSec=10.893338288961607, CurrSamplesPerSec=11.313321990879986, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 575/20000 [1:39:49<55:51:14, 10.35s/it] {'loss': 0.2954, 'learning_rate': 9.963076923076925e-06, 'epoch': 0.03} 3%|▎ | 575/20000 [1:39:49<55:51:14, 10.35s/it][2022-12-20 17:06:46,416] [INFO] [timer.py:197:stop] 0/576, RunningAvgSamplesPerSec=10.893543544256092, CurrSamplesPerSec=11.012440732361858, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 576/20000 [1:40:01<58:49:11, 10.90s/it][2022-12-20 17:06:58,074] [INFO] [timer.py:197:stop] 0/577, RunningAvgSamplesPerSec=10.892799903867749, CurrSamplesPerSec=10.482073258296184, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 577/20000 [1:40:13<60:02:31, 11.13s/it][2022-12-20 17:07:08,188] [INFO] [timer.py:197:stop] 0/578, RunningAvgSamplesPerSec=10.892915042486816, CurrSamplesPerSec=10.95952529476678, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 578/20000 [1:40:23<58:23:48, 10.82s/it][2022-12-20 17:07:17,681] [INFO] [timer.py:197:stop] 0/579, RunningAvgSamplesPerSec=10.892332208418882, CurrSamplesPerSec=10.566674308517472, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 579/20000 [1:40:33<56:14:19, 10.42s/it][2022-12-20 17:07:31,262] [INFO] [logging.py:68:log_dist] [Rank 0] step=580, skipped=2, lr=[9.960512820512822e-06], mom=[[0.9, 0.999]] [2022-12-20 17:07:31,263] [INFO] [timer.py:197:stop] 0/580, RunningAvgSamplesPerSec=10.89252318397292, CurrSamplesPerSec=11.00384419598062, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 580/20000 [1:40:46<61:20:41, 11.37s/it][2022-12-20 17:07:42,127] [INFO] [timer.py:197:stop] 0/581, RunningAvgSamplesPerSec=10.892209464928468, CurrSamplesPerSec=10.713854189096502, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 581/20000 [1:40:57<60:31:20, 11.22s/it][2022-12-20 17:07:51,551] [INFO] [timer.py:197:stop] 0/582, RunningAvgSamplesPerSec=10.89224607712157, CurrSamplesPerSec=10.91348594529488, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 582/20000 [1:41:07<57:36:42, 10.68s/it][2022-12-20 17:08:01,589] [INFO] [timer.py:197:stop] 0/583, RunningAvgSamplesPerSec=10.89175418686637, CurrSamplesPerSec=10.613752317151752, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 583/20000 [1:41:17<56:34:07, 10.49s/it][2022-12-20 17:08:13,124] [INFO] [timer.py:197:stop] 0/584, RunningAvgSamplesPerSec=10.89183508802817, CurrSamplesPerSec=10.939042737685636, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 584/20000 [1:41:28<58:15:29, 10.80s/it][2022-12-20 17:08:23,865] [INFO] [timer.py:197:stop] 0/585, RunningAvgSamplesPerSec=10.892285168278148, CurrSamplesPerSec=11.16069797868372, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 585/20000 [1:41:39<58:09:23, 10.78s/it][2022-12-20 17:08:33,673] [INFO] [timer.py:197:stop] 0/586, RunningAvgSamplesPerSec=10.89239361532621, CurrSamplesPerSec=10.955988009593794, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 586/20000 [1:41:49<56:34:36, 10.49s/it][2022-12-20 17:08:44,147] [INFO] [timer.py:197:stop] 0/587, RunningAvgSamplesPerSec=10.892477718907012, CurrSamplesPerSec=10.941817072662207, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 587/20000 [1:41:59<56:32:43, 10.49s/it][2022-12-20 17:08:54,836] [INFO] [timer.py:197:stop] 0/588, RunningAvgSamplesPerSec=10.892351017074706, CurrSamplesPerSec=10.818732264448888, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 588/20000 [1:42:10<56:52:16, 10.55s/it][2022-12-20 17:09:05,675] [INFO] [timer.py:197:stop] 0/589, RunningAvgSamplesPerSec=10.89133843918376, CurrSamplesPerSec=10.32867457744794, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 589/20000 [1:42:21<57:20:27, 10.63s/it][2022-12-20 17:09:15,482] [INFO] [logging.py:68:log_dist] [Rank 0] step=590, skipped=2, lr=[9.955384615384616e-06], mom=[[0.9, 0.999]] [2022-12-20 17:09:15,483] [INFO] [timer.py:197:stop] 0/590, RunningAvgSamplesPerSec=10.89077988039103, CurrSamplesPerSec=10.572504092168716, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 590/20000 [1:42:30<56:00:01, 10.39s/it][2022-12-20 17:09:26,824] [INFO] [timer.py:197:stop] 0/591, RunningAvgSamplesPerSec=10.890598917346395, CurrSamplesPerSec=10.785223960911217, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 591/20000 [1:42:42<57:32:30, 10.67s/it][2022-12-20 17:09:36,306] [INFO] [timer.py:197:stop] 0/592, RunningAvgSamplesPerSec=10.890994553915426, CurrSamplesPerSec=11.129128391329067, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 592/20000 [1:42:51<55:36:44, 10.32s/it][2022-12-20 17:09:46,191] [INFO] [timer.py:197:stop] 0/593, RunningAvgSamplesPerSec=10.891020974625974, CurrSamplesPerSec=10.906631575029746, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 593/20000 [1:43:01<54:54:49, 10.19s/it][2022-12-20 17:09:58,153] [INFO] [timer.py:197:stop] 0/594, RunningAvgSamplesPerSec=10.890914170602745, CurrSamplesPerSec=10.828157332191175, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 594/20000 [1:43:13<57:46:51, 10.72s/it][2022-12-20 17:10:07,595] [INFO] [timer.py:197:stop] 0/595, RunningAvgSamplesPerSec=10.891267860017132, CurrSamplesPerSec=11.104763368023688, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 595/20000 [1:43:23<55:42:55, 10.34s/it][2022-12-20 17:10:17,368] [INFO] [timer.py:197:stop] 0/596, RunningAvgSamplesPerSec=10.890900699577376, CurrSamplesPerSec=10.67744898840357, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 596/20000 [1:43:32<54:47:57, 10.17s/it][2022-12-20 17:10:27,815] [INFO] [timer.py:197:stop] 0/597, RunningAvgSamplesPerSec=10.890605069189709, CurrSamplesPerSec=10.717791819619912, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 597/20000 [1:43:43<55:15:02, 10.25s/it][2022-12-20 17:10:39,076] [INFO] [timer.py:197:stop] 0/598, RunningAvgSamplesPerSec=10.890696602537934, CurrSamplesPerSec=10.94543313195146, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 598/20000 [1:43:54<56:52:46, 10.55s/it][2022-12-20 17:10:49,734] [INFO] [timer.py:197:stop] 0/599, RunningAvgSamplesPerSec=10.890431509075066, CurrSamplesPerSec=10.734698926068049, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 599/20000 [1:44:05<57:02:42, 10.59s/it][2022-12-20 17:10:59,411] [INFO] [logging.py:68:log_dist] [Rank 0] step=600, skipped=2, lr=[9.950256410256412e-06], mom=[[0.9, 0.999]] [2022-12-20 17:10:59,412] [INFO] [timer.py:197:stop] 0/600, RunningAvgSamplesPerSec=10.890801389599403, CurrSamplesPerSec=11.11619778851668, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 600/20000 [1:44:14<55:34:37, 10.31s/it] {'loss': 0.3034, 'learning_rate': 9.950256410256412e-06, 'epoch': 0.03} 3%|▎ | 600/20000 [1:44:14<55:34:37, 10.31s/it][2022-12-20 17:11:09,229] [INFO] [timer.py:197:stop] 0/601, RunningAvgSamplesPerSec=10.890798491097975, CurrSamplesPerSec=10.889065463521662, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 601/20000 [1:44:24<54:46:18, 10.16s/it][2022-12-20 17:11:18,932] [INFO] [timer.py:197:stop] 0/602, RunningAvgSamplesPerSec=10.89087428239586, CurrSamplesPerSec=10.936463627861256, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 602/20000 [1:44:34<54:01:17, 10.03s/it][2022-12-20 17:11:29,489] [INFO] [timer.py:197:stop] 0/603, RunningAvgSamplesPerSec=10.890853678688398, CurrSamplesPerSec=10.878505494013844, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 603/20000 [1:44:44<54:52:42, 10.19s/it][2022-12-20 17:11:40,733] [INFO] [timer.py:197:stop] 0/604, RunningAvgSamplesPerSec=10.890795590146675, CurrSamplesPerSec=10.85599611435791, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 604/20000 [1:44:56<56:35:10, 10.50s/it][2022-12-20 17:11:50,779] [INFO] [timer.py:197:stop] 0/605, RunningAvgSamplesPerSec=10.891065668001936, CurrSamplesPerSec=11.05612064703701, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 605/20000 [1:45:06<55:50:44, 10.37s/it][2022-12-20 17:12:02,232] [INFO] [timer.py:197:stop] 0/606, RunningAvgSamplesPerSec=10.891155922423833, CurrSamplesPerSec=10.945853115533103, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 606/20000 [1:45:17<57:36:00, 10.69s/it][2022-12-20 17:12:11,990] [INFO] [timer.py:197:stop] 0/607, RunningAvgSamplesPerSec=10.891663827840633, CurrSamplesPerSec=11.207344901481912, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 607/20000 [1:45:27<56:05:13, 10.41s/it][2022-12-20 17:12:21,215] [INFO] [timer.py:197:stop] 0/608, RunningAvgSamplesPerSec=10.89135356153044, CurrSamplesPerSec=10.70682797592654, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 608/20000 [1:45:36<54:10:02, 10.06s/it][2022-12-20 17:12:30,924] [INFO] [timer.py:197:stop] 0/609, RunningAvgSamplesPerSec=10.89142591859192, CurrSamplesPerSec=10.935451836654565, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 609/20000 [1:45:46<53:36:13, 9.95s/it][2022-12-20 17:12:41,573] [INFO] [logging.py:68:log_dist] [Rank 0] step=610, skipped=2, lr=[9.945128205128206e-06], mom=[[0.9, 0.999]] [2022-12-20 17:12:41,574] [INFO] [timer.py:197:stop] 0/610, RunningAvgSamplesPerSec=10.891441636289292, CurrSamplesPerSec=10.900990657086973, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 610/20000 [1:45:57<54:43:47, 10.16s/it][2022-12-20 17:12:50,543] [INFO] [timer.py:197:stop] 0/611, RunningAvgSamplesPerSec=10.891469804295442, CurrSamplesPerSec=10.908622968664323, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 611/20000 [1:46:06<52:48:01, 9.80s/it][2022-12-20 17:13:00,164] [INFO] [timer.py:197:stop] 0/612, RunningAvgSamplesPerSec=10.891604215189655, CurrSamplesPerSec=10.974081327233847, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 612/20000 [1:46:15<52:30:14, 9.75s/it][2022-12-20 17:13:09,770] [INFO] [timer.py:197:stop] 0/613, RunningAvgSamplesPerSec=10.891344439475121, CurrSamplesPerSec=10.735157415848223, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 613/20000 [1:46:25<52:16:04, 9.71s/it][2022-12-20 17:13:19,538] [INFO] [timer.py:197:stop] 0/614, RunningAvgSamplesPerSec=10.891491615298012, CurrSamplesPerSec=10.982165910917432, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 614/20000 [1:46:35<52:21:59, 9.72s/it][2022-12-20 17:13:28,604] [INFO] [timer.py:197:stop] 0/615, RunningAvgSamplesPerSec=10.891915411953683, CurrSamplesPerSec=11.157616301435315, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 615/20000 [1:46:44<51:18:02, 9.53s/it][2022-12-20 17:13:38,880] [INFO] [timer.py:197:stop] 0/616, RunningAvgSamplesPerSec=10.891792551553625, CurrSamplesPerSec=10.816997157367206, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 616/20000 [1:46:54<52:30:26, 9.75s/it][2022-12-20 17:13:47,907] [INFO] [timer.py:197:stop] 0/617, RunningAvgSamplesPerSec=10.891843496293674, CurrSamplesPerSec=10.923213805183682, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 617/20000 [1:47:03<51:20:04, 9.53s/it][2022-12-20 17:13:57,175] [INFO] [timer.py:197:stop] 0/618, RunningAvgSamplesPerSec=10.891711442898727, CurrSamplesPerSec=10.811100647799035, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 618/20000 [1:47:12<50:54:05, 9.45s/it][2022-12-20 17:14:07,194] [INFO] [timer.py:197:stop] 0/619, RunningAvgSamplesPerSec=10.891754483648224, CurrSamplesPerSec=10.918332387257077, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 619/20000 [1:47:22<51:48:36, 9.62s/it][2022-12-20 17:14:17,689] [INFO] [logging.py:68:log_dist] [Rank 0] step=620, skipped=2, lr=[9.940000000000001e-06], mom=[[0.9, 0.999]] [2022-12-20 17:14:17,690] [INFO] [timer.py:197:stop] 0/620, RunningAvgSamplesPerSec=10.891737589994854, CurrSamplesPerSec=10.881324187634434, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 620/20000 [1:47:33<53:13:00, 9.89s/it][2022-12-20 17:14:28,409] [INFO] [timer.py:197:stop] 0/621, RunningAvgSamplesPerSec=10.892032967858603, CurrSamplesPerSec=11.077693067270516, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 621/20000 [1:47:43<54:33:33, 10.14s/it][2022-12-20 17:14:37,832] [INFO] [timer.py:197:stop] 0/622, RunningAvgSamplesPerSec=10.891785752185653, CurrSamplesPerSec=10.740882819162149, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 622/20000 [1:47:53<53:24:22, 9.92s/it][2022-12-20 17:14:47,010] [INFO] [timer.py:197:stop] 0/623, RunningAvgSamplesPerSec=10.891846481251774, CurrSamplesPerSec=10.929629324410113, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 623/20000 [1:48:02<52:12:09, 9.70s/it][2022-12-20 17:14:58,040] [INFO] [timer.py:197:stop] 0/624, RunningAvgSamplesPerSec=10.891637220823553, CurrSamplesPerSec=10.763221125268027, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 624/20000 [1:48:13<54:21:04, 10.10s/it][2022-12-20 17:15:10,847] [INFO] [timer.py:197:stop] 0/625, RunningAvgSamplesPerSec=10.891994355958886, CurrSamplesPerSec=11.118764740824306, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 625/20000 [1:48:26<58:43:15, 10.91s/it] {'loss': 0.2931, 'learning_rate': 9.937435897435898e-06, 'epoch': 0.03} 3%|▎ | 625/20000 [1:48:26<58:43:15, 10.91s/it][2022-12-20 17:15:19,841] [INFO] [timer.py:197:stop] 0/626, RunningAvgSamplesPerSec=10.891933735266473, CurrSamplesPerSec=10.854297752369424, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 626/20000 [1:48:35<55:37:24, 10.34s/it][2022-12-20 17:15:30,569] [INFO] [timer.py:197:stop] 0/627, RunningAvgSamplesPerSec=10.892233932414136, CurrSamplesPerSec=11.082840224471362, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 627/20000 [1:48:46<56:15:09, 10.45s/it][2022-12-20 17:15:39,526] [INFO] [timer.py:197:stop] 0/628, RunningAvgSamplesPerSec=10.892330584457842, CurrSamplesPerSec=10.953075534820181, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 628/20000 [1:48:54<53:50:08, 10.00s/it][2022-12-20 17:15:48,500] [INFO] [timer.py:197:stop] 0/629, RunningAvgSamplesPerSec=10.892244569293425, CurrSamplesPerSec=10.838664371628253, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 629/20000 [1:49:03<52:10:06, 9.70s/it][2022-12-20 17:15:59,365] [INFO] [logging.py:68:log_dist] [Rank 0] step=630, skipped=2, lr=[9.934871794871795e-06], mom=[[0.9, 0.999]] [2022-12-20 17:15:59,366] [INFO] [timer.py:197:stop] 0/630, RunningAvgSamplesPerSec=10.892379330868488, CurrSamplesPerSec=10.97753648199251, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 630/20000 [1:49:14<54:03:18, 10.05s/it][2022-12-20 17:16:09,336] [INFO] [timer.py:197:stop] 0/631, RunningAvgSamplesPerSec=10.892436228225305, CurrSamplesPerSec=10.928285555675517, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 631/20000 [1:49:24<53:55:44, 10.02s/it][2022-12-20 17:16:20,520] [INFO] [timer.py:197:stop] 0/632, RunningAvgSamplesPerSec=10.891854707489584, CurrSamplesPerSec=10.53798104740841, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 632/20000 [1:49:35<55:48:01, 10.37s/it][2022-12-20 17:16:30,593] [INFO] [timer.py:197:stop] 0/633, RunningAvgSamplesPerSec=10.892248417883136, CurrSamplesPerSec=11.1460752685895, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 633/20000 [1:49:46<55:18:53, 10.28s/it][2022-12-20 17:16:39,746] [INFO] [timer.py:197:stop] 0/634, RunningAvgSamplesPerSec=10.892432524332635, CurrSamplesPerSec=11.009858058444863, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 634/20000 [1:49:55<53:29:25, 9.94s/it][2022-12-20 17:16:49,972] [INFO] [timer.py:197:stop] 0/635, RunningAvgSamplesPerSec=10.892463683933883, CurrSamplesPerSec=10.912192276375338, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 635/20000 [1:50:05<53:56:32, 10.03s/it][2022-12-20 17:16:59,030] [INFO] [timer.py:197:stop] 0/636, RunningAvgSamplesPerSec=10.892344198878007, CurrSamplesPerSec=10.81723254127182, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 636/20000 [1:50:14<52:22:30, 9.74s/it][2022-12-20 17:17:08,286] [INFO] [timer.py:197:stop] 0/637, RunningAvgSamplesPerSec=10.89219341226556, CurrSamplesPerSec=10.797427752063307, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 637/20000 [1:50:23<51:35:46, 9.59s/it][2022-12-20 17:17:17,345] [INFO] [timer.py:197:stop] 0/638, RunningAvgSamplesPerSec=10.892207888575895, CurrSamplesPerSec=10.901408122385039, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 638/20000 [1:50:32<50:43:53, 9.43s/it][2022-12-20 17:17:28,652] [INFO] [timer.py:197:stop] 0/639, RunningAvgSamplesPerSec=10.892219151441703, CurrSamplesPerSec=10.899387055422924, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 639/20000 [1:50:44<53:45:11, 9.99s/it][2022-12-20 17:17:37,807] [INFO] [logging.py:68:log_dist] [Rank 0] step=640, skipped=2, lr=[9.92974358974359e-06], mom=[[0.9, 0.999]] [2022-12-20 17:17:37,808] [INFO] [timer.py:197:stop] 0/640, RunningAvgSamplesPerSec=10.892295208517277, CurrSamplesPerSec=10.94096036553306, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 640/20000 [1:50:53<52:23:46, 9.74s/it][2022-12-20 17:17:46,926] [INFO] [timer.py:197:stop] 0/641, RunningAvgSamplesPerSec=10.892135585722905, CurrSamplesPerSec=10.791241065588371, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 641/20000 [1:51:02<51:23:07, 9.56s/it][2022-12-20 17:17:57,964] [INFO] [timer.py:197:stop] 0/642, RunningAvgSamplesPerSec=10.89138555211399, CurrSamplesPerSec=10.432345575625797, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 642/20000 [1:51:13<53:46:25, 10.00s/it][2022-12-20 17:18:06,901] [INFO] [timer.py:197:stop] 0/643, RunningAvgSamplesPerSec=10.891119608941755, CurrSamplesPerSec=10.723538977971591, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 643/20000 [1:51:22<52:03:25, 9.68s/it][2022-12-20 17:18:16,702] [INFO] [timer.py:197:stop] 0/644, RunningAvgSamplesPerSec=10.891187933979316, CurrSamplesPerSec=10.935161387814585, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 644/20000 [1:51:32<52:14:46, 9.72s/it][2022-12-20 17:18:26,416] [INFO] [timer.py:197:stop] 0/645, RunningAvgSamplesPerSec=10.891615733134554, CurrSamplesPerSec=11.17337890337615, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 645/20000 [1:51:41<52:14:27, 9.72s/it][2022-12-20 17:18:38,953] [INFO] [timer.py:197:stop] 0/646, RunningAvgSamplesPerSec=10.891623094678863, CurrSamplesPerSec=10.896358628922293, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 646/20000 [1:51:54<56:47:03, 10.56s/it][2022-12-20 17:18:47,871] [INFO] [timer.py:197:stop] 0/647, RunningAvgSamplesPerSec=10.891963709199095, CurrSamplesPerSec=11.11583505749573, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 647/20000 [1:52:03<54:07:47, 10.07s/it][2022-12-20 17:18:57,936] [INFO] [timer.py:197:stop] 0/648, RunningAvgSamplesPerSec=10.891618213867323, CurrSamplesPerSec=10.67324853515693, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 648/20000 [1:52:13<54:07:14, 10.07s/it][2022-12-20 17:19:06,917] [INFO] [timer.py:197:stop] 0/649, RunningAvgSamplesPerSec=10.891884046036987, CurrSamplesPerSec=11.066366880842391, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 649/20000 [1:52:22<52:21:56, 9.74s/it][2022-12-20 17:19:15,816] [INFO] [logging.py:68:log_dist] [Rank 0] step=650, skipped=2, lr=[9.924615384615385e-06], mom=[[0.9, 0.999]] [2022-12-20 17:19:15,817] [INFO] [timer.py:197:stop] 0/650, RunningAvgSamplesPerSec=10.892301049867067, CurrSamplesPerSec=11.168966092144199, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 650/20000 [1:52:31<51:00:13, 9.49s/it] {'loss': 0.2798, 'learning_rate': 9.924615384615385e-06, 'epoch': 0.03} 3%|▎ | 650/20000 [1:52:31<51:00:13, 9.49s/it][2022-12-20 17:19:27,274] [INFO] [timer.py:197:stop] 0/651, RunningAvgSamplesPerSec=10.892050678267944, CurrSamplesPerSec=10.732194666212061, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 651/20000 [1:52:42<54:10:32, 10.08s/it][2022-12-20 17:19:36,499] [INFO] [timer.py:197:stop] 0/652, RunningAvgSamplesPerSec=10.892393172340663, CurrSamplesPerSec=11.119309593677709, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 652/20000 [1:52:51<52:47:36, 9.82s/it][2022-12-20 17:19:45,520] [INFO] [timer.py:197:stop] 0/653, RunningAvgSamplesPerSec=10.892349945423843, CurrSamplesPerSec=10.864324853183025, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 653/20000 [1:53:00<51:29:55, 9.58s/it][2022-12-20 17:19:55,301] [INFO] [timer.py:197:stop] 0/654, RunningAvgSamplesPerSec=10.891732322251382, CurrSamplesPerSec=10.50399509961786, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 654/20000 [1:53:10<51:48:57, 9.64s/it][2022-12-20 17:20:04,631] [INFO] [timer.py:197:stop] 0/655, RunningAvgSamplesPerSec=10.891581615833118, CurrSamplesPerSec=10.794200918045359, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 655/20000 [1:53:20<51:18:33, 9.55s/it][2022-12-20 17:20:15,261] [INFO] [timer.py:197:stop] 0/656, RunningAvgSamplesPerSec=10.891727192692814, CurrSamplesPerSec=10.987627167339392, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 656/20000 [1:53:30<53:03:00, 9.87s/it][2022-12-20 17:20:25,393] [INFO] [timer.py:197:stop] 0/657, RunningAvgSamplesPerSec=10.892101696884216, CurrSamplesPerSec=11.142670479746076, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 657/20000 [1:53:40<53:28:00, 9.95s/it][2022-12-20 17:20:34,609] [INFO] [timer.py:197:stop] 0/658, RunningAvgSamplesPerSec=10.89198407545301, CurrSamplesPerSec=10.815483970681017, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 658/20000 [1:53:50<52:16:39, 9.73s/it][2022-12-20 17:20:47,525] [INFO] [timer.py:197:stop] 0/659, RunningAvgSamplesPerSec=10.891968203787128, CurrSamplesPerSec=10.881566349430912, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 659/20000 [1:54:02<57:24:36, 10.69s/it][2022-12-20 17:20:59,501] [INFO] [logging.py:68:log_dist] [Rank 0] step=660, skipped=2, lr=[9.919487179487181e-06], mom=[[0.9, 0.999]] [2022-12-20 17:20:59,502] [INFO] [timer.py:197:stop] 0/660, RunningAvgSamplesPerSec=10.891557062489621, CurrSamplesPerSec=10.627984014202559, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 660/20000 [1:54:14<59:29:17, 11.07s/it][2022-12-20 17:21:08,567] [INFO] [timer.py:197:stop] 0/661, RunningAvgSamplesPerSec=10.891796398335154, CurrSamplesPerSec=11.05159337863147, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 661/20000 [1:54:24<56:14:52, 10.47s/it][2022-12-20 17:21:17,650] [INFO] [timer.py:197:stop] 0/662, RunningAvgSamplesPerSec=10.891869028261809, CurrSamplesPerSec=10.939943729493372, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 662/20000 [1:54:33<54:00:29, 10.05s/it][2022-12-20 17:21:27,127] [INFO] [timer.py:197:stop] 0/663, RunningAvgSamplesPerSec=10.89235719283716, CurrSamplesPerSec=11.224381756867931, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 663/20000 [1:54:42<53:04:33, 9.88s/it][2022-12-20 17:21:36,839] [INFO] [timer.py:197:stop] 0/664, RunningAvgSamplesPerSec=10.892258107866974, CurrSamplesPerSec=10.827154999897752, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 664/20000 [1:54:52<52:48:04, 9.83s/it][2022-12-20 17:21:46,052] [INFO] [timer.py:197:stop] 0/665, RunningAvgSamplesPerSec=10.892085965857484, CurrSamplesPerSec=10.779309655528087, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 665/20000 [1:55:01<51:48:12, 9.65s/it][2022-12-20 17:21:55,862] [INFO] [timer.py:197:stop] 0/666, RunningAvgSamplesPerSec=10.892396389691626, CurrSamplesPerSec=11.102177162049532, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 666/20000 [1:55:11<52:03:54, 9.69s/it][2022-12-20 17:22:07,354] [INFO] [timer.py:197:stop] 0/667, RunningAvgSamplesPerSec=10.892388938036579, CurrSamplesPerSec=10.887443289043434, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 667/20000 [1:55:22<54:57:29, 10.23s/it][2022-12-20 17:22:17,378] [INFO] [timer.py:197:stop] 0/668, RunningAvgSamplesPerSec=10.892512353973391, CurrSamplesPerSec=10.975207973980908, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 668/20000 [1:55:32<54:37:01, 10.17s/it][2022-12-20 17:22:27,214] [INFO] [timer.py:197:stop] 0/669, RunningAvgSamplesPerSec=10.892473094873402, CurrSamplesPerSec=10.866389240619059, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 669/20000 [1:55:42<54:04:34, 10.07s/it][2022-12-20 17:22:36,666] [INFO] [logging.py:68:log_dist] [Rank 0] step=670, skipped=2, lr=[9.914358974358975e-06], mom=[[0.9, 0.999]] [2022-12-20 17:22:36,667] [INFO] [timer.py:197:stop] 0/670, RunningAvgSamplesPerSec=10.892469727574772, CurrSamplesPerSec=10.890224203101333, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 670/20000 [1:55:52<53:04:38, 9.89s/it][2022-12-20 17:22:45,872] [INFO] [timer.py:197:stop] 0/671, RunningAvgSamplesPerSec=10.892702728542455, CurrSamplesPerSec=11.050607030032397, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 671/20000 [1:56:01<51:58:46, 9.68s/it][2022-12-20 17:22:54,986] [INFO] [timer.py:197:stop] 0/672, RunningAvgSamplesPerSec=10.89197412645056, CurrSamplesPerSec=10.425448373912838, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 672/20000 [1:56:10<51:03:51, 9.51s/it][2022-12-20 17:23:04,676] [INFO] [timer.py:197:stop] 0/673, RunningAvgSamplesPerSec=10.891742731131673, CurrSamplesPerSec=10.7388868901711, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 673/20000 [1:56:20<51:20:56, 9.56s/it][2022-12-20 17:23:13,732] [INFO] [timer.py:197:stop] 0/674, RunningAvgSamplesPerSec=10.891705797367933, CurrSamplesPerSec=10.866979586783838, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 674/20000 [1:56:29<50:31:39, 9.41s/it][2022-12-20 17:23:23,166] [INFO] [timer.py:197:stop] 0/675, RunningAvgSamplesPerSec=10.891678062311868, CurrSamplesPerSec=10.87307199092745, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 675/20000 [1:56:38<50:33:32, 9.42s/it] {'loss': 0.2619, 'learning_rate': 9.911794871794874e-06, 'epoch': 0.03} 3%|▎ | 675/20000 [1:56:38<50:33:32, 9.42s/it][2022-12-20 17:23:33,339] [INFO] [timer.py:197:stop] 0/676, RunningAvgSamplesPerSec=10.89162541744799, CurrSamplesPerSec=10.856310472763845, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 676/20000 [1:56:48<51:46:19, 9.64s/it][2022-12-20 17:23:43,483] [INFO] [timer.py:197:stop] 0/677, RunningAvgSamplesPerSec=10.89164602928931, CurrSamplesPerSec=10.905556179170222, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 677/20000 [1:56:58<52:34:22, 9.79s/it][2022-12-20 17:23:54,849] [INFO] [timer.py:197:stop] 0/678, RunningAvgSamplesPerSec=10.891820856810185, CurrSamplesPerSec=11.01112395025631, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 678/20000 [1:57:10<55:06:01, 10.27s/it][2022-12-20 17:24:04,172] [INFO] [timer.py:197:stop] 0/679, RunningAvgSamplesPerSec=10.892015977860966, CurrSamplesPerSec=11.025537135400809, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 679/20000 [1:57:19<53:34:44, 9.98s/it][2022-12-20 17:24:13,604] [INFO] [logging.py:68:log_dist] [Rank 0] step=680, skipped=2, lr=[9.909230769230769e-06], mom=[[0.9, 0.999]] [2022-12-20 17:24:13,605] [INFO] [timer.py:197:stop] 0/680, RunningAvgSamplesPerSec=10.891746611282446, CurrSamplesPerSec=10.712392804920569, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 680/20000 [1:57:29<52:41:27, 9.82s/it][2022-12-20 17:24:23,062] [INFO] [timer.py:197:stop] 0/681, RunningAvgSamplesPerSec=10.891283295597821, CurrSamplesPerSec=10.585974025277498, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 681/20000 [1:57:38<52:06:21, 9.71s/it][2022-12-20 17:24:32,186] [INFO] [timer.py:197:stop] 0/682, RunningAvgSamplesPerSec=10.891410636064379, CurrSamplesPerSec=10.978567750348935, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 682/20000 [1:57:47<51:09:40, 9.53s/it][2022-12-20 17:24:41,007] [INFO] [timer.py:197:stop] 0/683, RunningAvgSamplesPerSec=10.891695450541633, CurrSamplesPerSec=11.088880759218666, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 683/20000 [1:57:56<50:00:35, 9.32s/it][2022-12-20 17:24:50,472] [INFO] [timer.py:197:stop] 0/684, RunningAvgSamplesPerSec=10.891567938686867, CurrSamplesPerSec=10.805420207097733, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 684/20000 [1:58:05<50:14:30, 9.36s/it][2022-12-20 17:24:59,452] [INFO] [timer.py:197:stop] 0/685, RunningAvgSamplesPerSec=10.891706165374911, CurrSamplesPerSec=10.986801044836108, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 685/20000 [1:58:14<49:37:13, 9.25s/it][2022-12-20 17:25:09,471] [INFO] [timer.py:197:stop] 0/686, RunningAvgSamplesPerSec=10.891548799866403, CurrSamplesPerSec=10.785119962785805, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 686/20000 [1:58:24<50:51:30, 9.48s/it][2022-12-20 17:25:20,313] [INFO] [timer.py:197:stop] 0/687, RunningAvgSamplesPerSec=10.891266028425564, CurrSamplesPerSec=10.701230104181292, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 687/20000 [1:58:35<53:02:53, 9.89s/it][2022-12-20 17:25:31,106] [INFO] [timer.py:197:stop] 0/688, RunningAvgSamplesPerSec=10.890636173265612, CurrSamplesPerSec=10.475649770356398, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 688/20000 [1:58:46<54:30:05, 10.16s/it][2022-12-20 17:25:42,315] [INFO] [timer.py:197:stop] 0/689, RunningAvgSamplesPerSec=10.890455052452944, CurrSamplesPerSec=10.767609756348019, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 689/20000 [1:58:57<56:11:13, 10.47s/it][2022-12-20 17:25:51,274] [INFO] [logging.py:68:log_dist] [Rank 0] step=690, skipped=2, lr=[9.904102564102565e-06], mom=[[0.9, 0.999]] [2022-12-20 17:25:51,274] [INFO] [timer.py:197:stop] 0/690, RunningAvgSamplesPerSec=10.89039660991829, CurrSamplesPerSec=10.850394281320192, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 690/20000 [1:59:06<53:44:45, 10.02s/it][2022-12-20 17:26:00,505] [INFO] [timer.py:197:stop] 0/691, RunningAvgSamplesPerSec=10.890598431345847, CurrSamplesPerSec=11.031247429019148, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 691/20000 [1:59:15<52:28:21, 9.78s/it][2022-12-20 17:26:10,000] [INFO] [timer.py:197:stop] 0/692, RunningAvgSamplesPerSec=10.890175760649438, CurrSamplesPerSec=10.606551216988407, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 692/20000 [1:59:25<52:00:25, 9.70s/it][2022-12-20 17:26:18,875] [INFO] [timer.py:197:stop] 0/693, RunningAvgSamplesPerSec=10.890673367925157, CurrSamplesPerSec=11.245216219793994, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 693/20000 [1:59:34<50:40:59, 9.45s/it][2022-12-20 17:26:28,112] [INFO] [timer.py:197:stop] 0/694, RunningAvgSamplesPerSec=10.890470803416271, CurrSamplesPerSec=10.752277457354966, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 694/20000 [1:59:43<50:20:16, 9.39s/it][2022-12-20 17:26:37,898] [INFO] [timer.py:197:stop] 0/695, RunningAvgSamplesPerSec=10.890219783108629, CurrSamplesPerSec=10.719244832311299, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 695/20000 [1:59:53<50:58:33, 9.51s/it][2022-12-20 17:26:47,598] [INFO] [timer.py:197:stop] 0/696, RunningAvgSamplesPerSec=10.890365044334168, CurrSamplesPerSec=10.991971638234839, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 696/20000 [2:00:03<51:17:07, 9.56s/it][2022-12-20 17:26:56,733] [INFO] [timer.py:197:stop] 0/697, RunningAvgSamplesPerSec=10.889922584871293, CurrSamplesPerSec=10.591288537442736, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 697/20000 [2:00:12<50:35:32, 9.44s/it][2022-12-20 17:27:07,408] [INFO] [timer.py:197:stop] 0/698, RunningAvgSamplesPerSec=10.89016058372828, CurrSamplesPerSec=11.058124643948847, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 698/20000 [2:00:22<52:35:02, 9.81s/it][2022-12-20 17:27:17,871] [INFO] [timer.py:197:stop] 0/699, RunningAvgSamplesPerSec=10.889855506048148, CurrSamplesPerSec=10.681588142361033, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 3%|▎ | 699/20000 [2:00:33<53:38:07, 10.00s/it][2022-12-20 17:27:27,222] [INFO] [logging.py:68:log_dist] [Rank 0] step=700, skipped=2, lr=[9.89897435897436e-06], mom=[[0.9, 0.999]] [2022-12-20 17:27:27,222] [INFO] [timer.py:197:stop] 0/700, RunningAvgSamplesPerSec=10.889997793769927, CurrSamplesPerSec=10.990085132841484, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 700/20000 [2:00:42<52:34:57, 9.81s/it] {'loss': 0.3157, 'learning_rate': 9.89897435897436e-06, 'epoch': 0.04} 4%|▎ | 700/20000 [2:00:42<52:34:57, 9.81s/it][2022-12-20 17:27:36,621] [INFO] [timer.py:197:stop] 0/701, RunningAvgSamplesPerSec=10.88945253390976, CurrSamplesPerSec=10.521731580847161, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 701/20000 [2:00:52<51:55:15, 9.69s/it][2022-12-20 17:27:45,859] [INFO] [timer.py:197:stop] 0/702, RunningAvgSamplesPerSec=10.889724876076137, CurrSamplesPerSec=11.083484069864458, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 702/20000 [2:01:01<51:11:56, 9.55s/it][2022-12-20 17:27:55,044] [INFO] [timer.py:197:stop] 0/703, RunningAvgSamplesPerSec=10.890050977339945, CurrSamplesPerSec=11.123216319763324, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 703/20000 [2:01:10<50:36:31, 9.44s/it][2022-12-20 17:28:04,548] [INFO] [timer.py:197:stop] 0/704, RunningAvgSamplesPerSec=10.890114123486585, CurrSamplesPerSec=10.934560492801658, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 704/20000 [2:01:20<50:42:22, 9.46s/it][2022-12-20 17:28:14,630] [INFO] [timer.py:197:stop] 0/705, RunningAvgSamplesPerSec=10.889899510785835, CurrSamplesPerSec=10.741300145872719, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 705/20000 [2:01:30<51:42:12, 9.65s/it][2022-12-20 17:28:23,882] [INFO] [timer.py:197:stop] 0/706, RunningAvgSamplesPerSec=10.889599909946968, CurrSamplesPerSec=10.68298246188651, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 706/20000 [2:01:39<51:03:59, 9.53s/it][2022-12-20 17:28:32,991] [INFO] [timer.py:197:stop] 0/707, RunningAvgSamplesPerSec=10.889638871924568, CurrSamplesPerSec=10.91713746703889, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 707/20000 [2:01:48<50:23:24, 9.40s/it][2022-12-20 17:28:42,006] [INFO] [timer.py:197:stop] 0/708, RunningAvgSamplesPerSec=10.889319104087852, CurrSamplesPerSec=10.668461571784613, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 708/20000 [2:01:57<49:45:49, 9.29s/it][2022-12-20 17:28:52,406] [INFO] [timer.py:197:stop] 0/709, RunningAvgSamplesPerSec=10.889404561873743, CurrSamplesPerSec=10.950074378468535, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 709/20000 [2:02:07<51:33:04, 9.62s/it][2022-12-20 17:29:02,194] [INFO] [logging.py:68:log_dist] [Rank 0] step=710, skipped=2, lr=[9.893846153846155e-06], mom=[[0.9, 0.999]] [2022-12-20 17:29:02,195] [INFO] [timer.py:197:stop] 0/710, RunningAvgSamplesPerSec=10.889478133161708, CurrSamplesPerSec=10.94174303645357, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 710/20000 [2:02:17<51:49:11, 9.67s/it][2022-12-20 17:29:11,090] [INFO] [timer.py:197:stop] 0/711, RunningAvgSamplesPerSec=10.88937853947089, CurrSamplesPerSec=10.8193204961559, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 711/20000 [2:02:26<50:34:14, 9.44s/it][2022-12-20 17:29:20,624] [INFO] [timer.py:197:stop] 0/712, RunningAvgSamplesPerSec=10.888931754549185, CurrSamplesPerSec=10.58112820449752, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 712/20000 [2:02:36<50:43:15, 9.47s/it][2022-12-20 17:29:29,519] [INFO] [timer.py:197:stop] 0/713, RunningAvgSamplesPerSec=10.889155288176331, CurrSamplesPerSec=11.05021490528965, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 713/20000 [2:02:44<49:48:01, 9.30s/it][2022-12-20 17:29:39,888] [INFO] [timer.py:197:stop] 0/714, RunningAvgSamplesPerSec=10.888979269761972, CurrSamplesPerSec=10.765254173020262, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 714/20000 [2:02:55<51:31:24, 9.62s/it][2022-12-20 17:29:48,861] [INFO] [timer.py:197:stop] 0/715, RunningAvgSamplesPerSec=10.888979269226866, CurrSamplesPerSec=10.888978888231202, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 715/20000 [2:03:04<50:29:04, 9.42s/it][2022-12-20 17:30:00,306] [INFO] [timer.py:197:stop] 0/716, RunningAvgSamplesPerSec=10.888655840998043, CurrSamplesPerSec=10.662840626603039, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 716/20000 [2:03:15<53:43:45, 10.03s/it][2022-12-20 17:30:09,237] [INFO] [timer.py:197:stop] 0/717, RunningAvgSamplesPerSec=10.888626394476114, CurrSamplesPerSec=10.867642152979348, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 717/20000 [2:03:24<51:57:37, 9.70s/it][2022-12-20 17:30:17,981] [INFO] [timer.py:197:stop] 0/718, RunningAvgSamplesPerSec=10.88893541849848, CurrSamplesPerSec=11.114470425066958, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 718/20000 [2:03:33<50:25:12, 9.41s/it][2022-12-20 17:30:27,927] [INFO] [timer.py:197:stop] 0/719, RunningAvgSamplesPerSec=10.889279932608124, CurrSamplesPerSec=11.141677519097733, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 719/20000 [2:03:43<51:16:19, 9.57s/it][2022-12-20 17:30:38,047] [INFO] [logging.py:68:log_dist] [Rank 0] step=720, skipped=2, lr=[9.88871794871795e-06], mom=[[0.9, 0.999]] [2022-12-20 17:30:38,048] [INFO] [timer.py:197:stop] 0/720, RunningAvgSamplesPerSec=10.889259748017277, CurrSamplesPerSec=10.874806632059046, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 720/20000 [2:03:53<52:09:01, 9.74s/it][2022-12-20 17:30:47,226] [INFO] [timer.py:197:stop] 0/721, RunningAvgSamplesPerSec=10.889055124716606, CurrSamplesPerSec=10.744094190366125, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 721/20000 [2:04:02<51:14:55, 9.57s/it][2022-12-20 17:30:56,377] [INFO] [timer.py:197:stop] 0/722, RunningAvgSamplesPerSec=10.88937585940046, CurrSamplesPerSec=11.124980521422456, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 722/20000 [2:04:11<50:34:21, 9.44s/it][2022-12-20 17:31:06,070] [INFO] [timer.py:197:stop] 0/723, RunningAvgSamplesPerSec=10.889420870629351, CurrSamplesPerSec=10.921925828029162, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 723/20000 [2:04:21<50:58:15, 9.52s/it][2022-12-20 17:31:14,987] [INFO] [timer.py:197:stop] 0/724, RunningAvgSamplesPerSec=10.889547888778143, CurrSamplesPerSec=10.981905772557052, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 724/20000 [2:04:30<50:00:01, 9.34s/it][2022-12-20 17:31:24,065] [INFO] [timer.py:197:stop] 0/725, RunningAvgSamplesPerSec=10.889320801686695, CurrSamplesPerSec=10.727799266066075, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 725/20000 [2:04:39<49:34:52, 9.26s/it] {'loss': 0.2937, 'learning_rate': 9.886153846153846e-06, 'epoch': 0.04} 4%|▎ | 725/20000 [2:04:39<49:34:52, 9.26s/it][2022-12-20 17:31:33,163] [INFO] [timer.py:197:stop] 0/726, RunningAvgSamplesPerSec=10.88965632367945, CurrSamplesPerSec=11.137773528685543, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 726/20000 [2:04:48<49:19:00, 9.21s/it][2022-12-20 17:31:42,395] [INFO] [timer.py:197:stop] 0/727, RunningAvgSamplesPerSec=10.889167287816763, CurrSamplesPerSec=10.546270048329639, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 727/20000 [2:04:57<49:20:51, 9.22s/it][2022-12-20 17:31:51,371] [INFO] [timer.py:197:stop] 0/728, RunningAvgSamplesPerSec=10.889313222138638, CurrSamplesPerSec=10.996155131158938, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 728/20000 [2:05:06<48:57:27, 9.15s/it][2022-12-20 17:32:00,277] [INFO] [timer.py:197:stop] 0/729, RunningAvgSamplesPerSec=10.889646513324273, CurrSamplesPerSec=11.137122436487164, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 729/20000 [2:05:15<48:34:14, 9.07s/it][2022-12-20 17:32:09,569] [INFO] [logging.py:68:log_dist] [Rank 0] step=730, skipped=2, lr=[9.883589743589744e-06], mom=[[0.9, 0.999]] [2022-12-20 17:32:09,570] [INFO] [timer.py:197:stop] 0/730, RunningAvgSamplesPerSec=10.889659475895511, CurrSamplesPerSec=10.89909143872919, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 730/20000 [2:05:25<48:55:12, 9.14s/it][2022-12-20 17:32:19,512] [INFO] [timer.py:197:stop] 0/731, RunningAvgSamplesPerSec=10.88958475450553, CurrSamplesPerSec=10.835458333841263, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 731/20000 [2:05:34<50:12:24, 9.38s/it][2022-12-20 17:32:29,250] [INFO] [timer.py:197:stop] 0/732, RunningAvgSamplesPerSec=10.889883284918369, CurrSamplesPerSec=11.111956052802803, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 732/20000 [2:05:44<50:46:42, 9.49s/it][2022-12-20 17:32:38,191] [INFO] [timer.py:197:stop] 0/733, RunningAvgSamplesPerSec=10.890010940843137, CurrSamplesPerSec=10.984005202555498, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 733/20000 [2:05:53<49:53:58, 9.32s/it][2022-12-20 17:32:47,575] [INFO] [timer.py:197:stop] 0/734, RunningAvgSamplesPerSec=10.890094855632759, CurrSamplesPerSec=10.951784527702825, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 734/20000 [2:06:03<49:59:37, 9.34s/it][2022-12-20 17:32:56,889] [INFO] [timer.py:197:stop] 0/735, RunningAvgSamplesPerSec=10.889979385387864, CurrSamplesPerSec=10.806107043298587, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 735/20000 [2:06:12<49:56:48, 9.33s/it][2022-12-20 17:33:06,083] [INFO] [timer.py:197:stop] 0/736, RunningAvgSamplesPerSec=10.889741242093674, CurrSamplesPerSec=10.717939884771013, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 736/20000 [2:06:21<49:43:13, 9.29s/it][2022-12-20 17:33:15,033] [INFO] [timer.py:197:stop] 0/737, RunningAvgSamplesPerSec=10.889744040081856, CurrSamplesPerSec=10.891798151324954, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 737/20000 [2:06:30<49:10:10, 9.19s/it][2022-12-20 17:33:24,007] [INFO] [timer.py:197:stop] 0/738, RunningAvgSamplesPerSec=10.889514403470548, CurrSamplesPerSec=10.723311080874446, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 738/20000 [2:06:39<48:49:18, 9.12s/it][2022-12-20 17:33:34,644] [INFO] [timer.py:197:stop] 0/739, RunningAvgSamplesPerSec=10.889365985493297, CurrSamplesPerSec=10.781216717289654, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 739/20000 [2:06:50<51:14:44, 9.58s/it][2022-12-20 17:33:44,814] [INFO] [logging.py:68:log_dist] [Rank 0] step=740, skipped=2, lr=[9.878461538461538e-06], mom=[[0.9, 0.999]] [2022-12-20 17:33:44,815] [INFO] [timer.py:197:stop] 0/740, RunningAvgSamplesPerSec=10.889017455746627, CurrSamplesPerSec=10.638078585598253, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 740/20000 [2:07:00<52:11:42, 9.76s/it][2022-12-20 17:33:54,456] [INFO] [timer.py:197:stop] 0/741, RunningAvgSamplesPerSec=10.88903545513307, CurrSamplesPerSec=10.902335248747342, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 741/20000 [2:07:09<52:00:26, 9.72s/it][2022-12-20 17:34:05,348] [INFO] [timer.py:197:stop] 0/742, RunningAvgSamplesPerSec=10.889020370063076, CurrSamplesPerSec=10.877883919942866, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 742/20000 [2:07:20<53:53:02, 10.07s/it][2022-12-20 17:34:14,552] [INFO] [timer.py:197:stop] 0/743, RunningAvgSamplesPerSec=10.888846595863495, CurrSamplesPerSec=10.761756598252344, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 743/20000 [2:07:30<52:29:08, 9.81s/it][2022-12-20 17:34:27,426] [INFO] [timer.py:197:stop] 0/744, RunningAvgSamplesPerSec=10.88905718466129, CurrSamplesPerSec=11.047375333522671, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 744/20000 [2:07:42<57:23:48, 10.73s/it][2022-12-20 17:34:36,251] [INFO] [timer.py:197:stop] 0/745, RunningAvgSamplesPerSec=10.889097133271848, CurrSamplesPerSec=10.918820021820112, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 745/20000 [2:07:51<54:20:10, 10.16s/it][2022-12-20 17:34:45,199] [INFO] [timer.py:197:stop] 0/746, RunningAvgSamplesPerSec=10.888873418014914, CurrSamplesPerSec=10.72515552617759, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 746/20000 [2:08:00<52:23:24, 9.80s/it][2022-12-20 17:34:54,485] [INFO] [timer.py:197:stop] 0/747, RunningAvgSamplesPerSec=10.88927427915805, CurrSamplesPerSec=11.195924954668541, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 747/20000 [2:08:09<51:34:12, 9.64s/it][2022-12-20 17:35:03,987] [INFO] [timer.py:197:stop] 0/748, RunningAvgSamplesPerSec=10.889218890899015, CurrSamplesPerSec=10.848110625121034, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 748/20000 [2:08:19<51:20:31, 9.60s/it][2022-12-20 17:35:13,284] [INFO] [timer.py:197:stop] 0/749, RunningAvgSamplesPerSec=10.88919475840367, CurrSamplesPerSec=10.871221671177722, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▎ | 749/20000 [2:08:28<50:51:06, 9.51s/it][2022-12-20 17:35:24,409] [INFO] [logging.py:68:log_dist] [Rank 0] step=750, skipped=2, lr=[9.873333333333334e-06], mom=[[0.9, 0.999]] [2022-12-20 17:35:24,410] [INFO] [timer.py:197:stop] 0/750, RunningAvgSamplesPerSec=10.889111970081702, CurrSamplesPerSec=10.827618801185153, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 750/20000 [2:08:39<53:26:34, 9.99s/it] {'loss': 0.2606, 'learning_rate': 9.873333333333334e-06, 'epoch': 0.04} 4%|▍ | 750/20000 [2:08:39<53:26:34, 9.99s/it][2022-12-20 17:35:33,856] [INFO] [timer.py:197:stop] 0/751, RunningAvgSamplesPerSec=10.889383708131104, CurrSamplesPerSec=11.09651523260602, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 751/20000 [2:08:49<52:33:37, 9.83s/it][2022-12-20 17:35:43,735] [INFO] [timer.py:197:stop] 0/752, RunningAvgSamplesPerSec=10.889545903070015, CurrSamplesPerSec=11.012402331170254, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 752/20000 [2:08:59<52:38:08, 9.84s/it][2022-12-20 17:35:52,879] [INFO] [timer.py:197:stop] 0/753, RunningAvgSamplesPerSec=10.889467725897152, CurrSamplesPerSec=10.831149272823128, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 753/20000 [2:09:08<51:30:32, 9.63s/it][2022-12-20 17:36:01,880] [INFO] [timer.py:197:stop] 0/754, RunningAvgSamplesPerSec=10.88946367225418, CurrSamplesPerSec=10.886420238345424, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 754/20000 [2:09:17<50:29:29, 9.44s/it][2022-12-20 17:36:11,053] [INFO] [timer.py:197:stop] 0/755, RunningAvgSamplesPerSec=10.889494336190522, CurrSamplesPerSec=10.912602614816699, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 755/20000 [2:09:26<50:03:07, 9.36s/it][2022-12-20 17:36:20,116] [INFO] [timer.py:197:stop] 0/756, RunningAvgSamplesPerSec=10.889296680026684, CurrSamplesPerSec=10.74247106869187, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 756/20000 [2:09:35<49:34:13, 9.27s/it][2022-12-20 17:36:29,210] [INFO] [timer.py:197:stop] 0/757, RunningAvgSamplesPerSec=10.889357093957154, CurrSamplesPerSec=10.935100805338752, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 757/20000 [2:09:44<49:16:46, 9.22s/it][2022-12-20 17:36:39,244] [INFO] [timer.py:197:stop] 0/758, RunningAvgSamplesPerSec=10.889338073433013, CurrSamplesPerSec=10.874996515923364, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 758/20000 [2:09:54<50:35:01, 9.46s/it][2022-12-20 17:36:48,603] [INFO] [timer.py:197:stop] 0/759, RunningAvgSamplesPerSec=10.88910669422439, CurrSamplesPerSec=10.716953146271878, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 759/20000 [2:10:04<50:24:45, 9.43s/it][2022-12-20 17:36:57,823] [INFO] [logging.py:68:log_dist] [Rank 0] step=760, skipped=2, lr=[9.86820512820513e-06], mom=[[0.9, 0.999]] [2022-12-20 17:36:57,824] [INFO] [timer.py:197:stop] 0/760, RunningAvgSamplesPerSec=10.889137939510611, CurrSamplesPerSec=10.912842178011536, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 760/20000 [2:10:13<50:04:18, 9.37s/it][2022-12-20 17:37:06,554] [INFO] [timer.py:197:stop] 0/761, RunningAvgSamplesPerSec=10.889686502515655, CurrSamplesPerSec=11.322027507290123, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 761/20000 [2:10:22<49:02:40, 9.18s/it][2022-12-20 17:37:16,340] [INFO] [timer.py:197:stop] 0/762, RunningAvgSamplesPerSec=10.889192982086003, CurrSamplesPerSec=10.527083738243107, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 762/20000 [2:10:31<50:01:02, 9.36s/it][2022-12-20 17:37:28,043] [INFO] [timer.py:197:stop] 0/763, RunningAvgSamplesPerSec=10.88917865845474, CurrSamplesPerSec=10.87830358485966, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 763/20000 [2:10:43<53:46:20, 10.06s/it][2022-12-20 17:37:37,192] [INFO] [timer.py:197:stop] 0/764, RunningAvgSamplesPerSec=10.888729618650158, CurrSamplesPerSec=10.557421384441808, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 764/20000 [2:10:52<52:18:16, 9.79s/it][2022-12-20 17:37:46,982] [INFO] [timer.py:197:stop] 0/765, RunningAvgSamplesPerSec=10.888537501738998, CurrSamplesPerSec=10.744089029996944, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 765/20000 [2:11:02<52:18:13, 9.79s/it][2022-12-20 17:37:56,222] [INFO] [timer.py:197:stop] 0/766, RunningAvgSamplesPerSec=10.88889901902886, CurrSamplesPerSec=11.17191548322016, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 766/20000 [2:11:11<51:25:11, 9.62s/it][2022-12-20 17:38:06,907] [INFO] [timer.py:197:stop] 0/767, RunningAvgSamplesPerSec=10.888956794834813, CurrSamplesPerSec=10.933277408832929, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 767/20000 [2:11:22<53:07:03, 9.94s/it][2022-12-20 17:38:15,998] [INFO] [timer.py:197:stop] 0/768, RunningAvgSamplesPerSec=10.888987103067832, CurrSamplesPerSec=10.912222440744987, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 768/20000 [2:11:31<51:44:59, 9.69s/it][2022-12-20 17:38:25,126] [INFO] [timer.py:197:stop] 0/769, RunningAvgSamplesPerSec=10.88893476837286, CurrSamplesPerSec=10.848993630089291, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 769/20000 [2:11:40<50:51:09, 9.52s/it][2022-12-20 17:38:34,700] [INFO] [logging.py:68:log_dist] [Rank 0] step=770, skipped=2, lr=[9.863076923076924e-06], mom=[[0.9, 0.999]] [2022-12-20 17:38:34,701] [INFO] [timer.py:197:stop] 0/770, RunningAvgSamplesPerSec=10.889087205910197, CurrSamplesPerSec=11.007277498351689, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 770/20000 [2:11:50<50:56:17, 9.54s/it][2022-12-20 17:38:46,574] [INFO] [timer.py:197:stop] 0/771, RunningAvgSamplesPerSec=10.889355177715574, CurrSamplesPerSec=11.099127254119407, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 771/20000 [2:12:02<54:40:51, 10.24s/it][2022-12-20 17:38:56,187] [INFO] [timer.py:197:stop] 0/772, RunningAvgSamplesPerSec=10.889130265671769, CurrSamplesPerSec=10.718880579171158, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 772/20000 [2:12:11<53:40:37, 10.05s/it][2022-12-20 17:39:06,806] [INFO] [timer.py:197:stop] 0/773, RunningAvgSamplesPerSec=10.889238285360953, CurrSamplesPerSec=10.973054489961799, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 773/20000 [2:12:22<54:35:13, 10.22s/it][2022-12-20 17:39:16,370] [INFO] [timer.py:197:stop] 0/774, RunningAvgSamplesPerSec=10.889585270915402, CurrSamplesPerSec=11.163857965907653, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 774/20000 [2:12:31<53:31:53, 10.02s/it][2022-12-20 17:39:25,257] [INFO] [timer.py:197:stop] 0/775, RunningAvgSamplesPerSec=10.889727405310568, CurrSamplesPerSec=11.000573519715697, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 775/20000 [2:12:40<51:42:29, 9.68s/it] {'loss': 0.2482, 'learning_rate': 9.860512820512821e-06, 'epoch': 0.04} 4%|▍ | 775/20000 [2:12:40<51:42:29, 9.68s/it][2022-12-20 17:39:35,962] [INFO] [timer.py:197:stop] 0/776, RunningAvgSamplesPerSec=10.889780975646666, CurrSamplesPerSec=10.931349118440428, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 776/20000 [2:12:51<53:20:37, 9.99s/it][2022-12-20 17:39:46,427] [INFO] [timer.py:197:stop] 0/777, RunningAvgSamplesPerSec=10.889377787771231, CurrSamplesPerSec=10.586015354635546, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 777/20000 [2:13:01<54:06:05, 10.13s/it][2022-12-20 17:39:55,741] [INFO] [timer.py:197:stop] 0/778, RunningAvgSamplesPerSec=10.889659616877115, CurrSamplesPerSec=11.112553601985093, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 778/20000 [2:13:11<52:47:22, 9.89s/it][2022-12-20 17:40:05,466] [INFO] [timer.py:197:stop] 0/779, RunningAvgSamplesPerSec=10.889445190074074, CurrSamplesPerSec=10.725557489505805, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 779/20000 [2:13:20<52:31:36, 9.84s/it][2022-12-20 17:40:14,753] [INFO] [logging.py:68:log_dist] [Rank 0] step=780, skipped=2, lr=[9.857948717948718e-06], mom=[[0.9, 0.999]] [2022-12-20 17:40:14,754] [INFO] [timer.py:197:stop] 0/780, RunningAvgSamplesPerSec=10.889569597423884, CurrSamplesPerSec=10.987100988941782, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 780/20000 [2:13:30<51:38:37, 9.67s/it][2022-12-20 17:40:24,536] [INFO] [timer.py:197:stop] 0/781, RunningAvgSamplesPerSec=10.889620662475146, CurrSamplesPerSec=10.92949493266586, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 781/20000 [2:13:40<51:48:58, 9.71s/it][2022-12-20 17:40:33,674] [INFO] [timer.py:197:stop] 0/782, RunningAvgSamplesPerSec=10.889451524640059, CurrSamplesPerSec=10.75927031801589, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 782/20000 [2:13:49<50:54:10, 9.54s/it][2022-12-20 17:40:42,617] [INFO] [timer.py:197:stop] 0/783, RunningAvgSamplesPerSec=10.889566378563773, CurrSamplesPerSec=10.979896517918265, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 783/20000 [2:13:58<49:57:04, 9.36s/it][2022-12-20 17:40:56,599] [INFO] [timer.py:197:stop] 0/784, RunningAvgSamplesPerSec=10.889264410816155, CurrSamplesPerSec=10.658433280667616, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 784/20000 [2:14:12<57:21:15, 10.74s/it][2022-12-20 17:41:08,515] [INFO] [timer.py:197:stop] 0/785, RunningAvgSamplesPerSec=10.88905139863833, CurrSamplesPerSec=10.724988835938255, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 785/20000 [2:14:23<59:13:38, 11.10s/it][2022-12-20 17:41:18,942] [INFO] [timer.py:197:stop] 0/786, RunningAvgSamplesPerSec=10.888703109945755, CurrSamplesPerSec=10.622664569007096, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 786/20000 [2:14:34<58:09:03, 10.90s/it][2022-12-20 17:41:29,142] [INFO] [timer.py:197:stop] 0/787, RunningAvgSamplesPerSec=10.888012024800242, CurrSamplesPerSec=10.371916066580143, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 787/20000 [2:14:44<57:02:08, 10.69s/it][2022-12-20 17:41:41,224] [INFO] [timer.py:197:stop] 0/788, RunningAvgSamplesPerSec=10.88809902080034, CurrSamplesPerSec=10.956822474225786, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 788/20000 [2:14:56<59:15:57, 11.11s/it][2022-12-20 17:41:50,166] [INFO] [timer.py:197:stop] 0/789, RunningAvgSamplesPerSec=10.888177012514431, CurrSamplesPerSec=10.949826031306573, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 789/20000 [2:15:05<55:47:59, 10.46s/it][2022-12-20 17:41:59,480] [INFO] [logging.py:68:log_dist] [Rank 0] step=790, skipped=2, lr=[9.852820512820514e-06], mom=[[0.9, 0.999]] [2022-12-20 17:41:59,480] [INFO] [timer.py:197:stop] 0/790, RunningAvgSamplesPerSec=10.888233698545521, CurrSamplesPerSec=10.933029377698736, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 790/20000 [2:15:14<53:58:04, 10.11s/it][2022-12-20 17:42:09,116] [INFO] [timer.py:197:stop] 0/791, RunningAvgSamplesPerSec=10.888244793563077, CurrSamplesPerSec=10.896994702178274, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 791/20000 [2:15:24<53:12:00, 9.97s/it][2022-12-20 17:42:19,420] [INFO] [timer.py:197:stop] 0/792, RunningAvgSamplesPerSec=10.88809612474611, CurrSamplesPerSec=10.772048220619649, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 792/20000 [2:15:34<53:43:50, 10.07s/it][2022-12-20 17:42:29,498] [INFO] [timer.py:197:stop] 0/793, RunningAvgSamplesPerSec=10.888191039074322, CurrSamplesPerSec=10.963693972978472, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 793/20000 [2:15:44<53:44:27, 10.07s/it][2022-12-20 17:42:38,377] [INFO] [timer.py:197:stop] 0/794, RunningAvgSamplesPerSec=10.888258666547392, CurrSamplesPerSec=10.942016440205538, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 794/20000 [2:15:53<51:49:36, 9.71s/it][2022-12-20 17:42:48,882] [INFO] [timer.py:197:stop] 0/795, RunningAvgSamplesPerSec=10.88813815884658, CurrSamplesPerSec=10.793526444386382, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 795/20000 [2:16:04<53:05:20, 9.95s/it][2022-12-20 17:42:58,162] [INFO] [timer.py:197:stop] 0/796, RunningAvgSamplesPerSec=10.887751629197501, CurrSamplesPerSec=10.589636892072795, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 796/20000 [2:16:13<52:00:46, 9.75s/it][2022-12-20 17:43:07,006] [INFO] [timer.py:197:stop] 0/797, RunningAvgSamplesPerSec=10.88787273087719, CurrSamplesPerSec=10.984885296565619, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 797/20000 [2:16:22<50:33:31, 9.48s/it][2022-12-20 17:43:16,656] [INFO] [timer.py:197:stop] 0/798, RunningAvgSamplesPerSec=10.888192150325857, CurrSamplesPerSec=11.148202292878997, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 798/20000 [2:16:32<50:49:50, 9.53s/it][2022-12-20 17:43:25,632] [INFO] [timer.py:197:stop] 0/799, RunningAvgSamplesPerSec=10.88809163625706, CurrSamplesPerSec=10.80866680987735, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 799/20000 [2:16:41<49:56:33, 9.36s/it][2022-12-20 17:43:34,715] [INFO] [logging.py:68:log_dist] [Rank 0] step=800, skipped=2, lr=[9.847692307692308e-06], mom=[[0.9, 0.999]] [2022-12-20 17:43:34,715] [INFO] [timer.py:197:stop] 0/800, RunningAvgSamplesPerSec=10.888485916103695, CurrSamplesPerSec=11.212077504818593, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 800/20000 [2:16:50<49:29:27, 9.28s/it] {'loss': 0.2539, 'learning_rate': 9.847692307692308e-06, 'epoch': 0.04} 4%|▍ | 800/20000 [2:16:50<49:29:27, 9.28s/it][2022-12-20 17:43:43,626] [INFO] [timer.py:197:stop] 0/801, RunningAvgSamplesPerSec=10.888354839332317, CurrSamplesPerSec=10.784752085513235, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 801/20000 [2:16:59<48:53:55, 9.17s/it][2022-12-20 17:43:53,121] [INFO] [timer.py:197:stop] 0/802, RunningAvgSamplesPerSec=10.888150802197709, CurrSamplesPerSec=10.72753303286088, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 802/20000 [2:17:08<49:25:03, 9.27s/it][2022-12-20 17:44:02,759] [INFO] [timer.py:197:stop] 0/803, RunningAvgSamplesPerSec=10.88775867745072, CurrSamplesPerSec=10.582854799031757, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 803/20000 [2:17:18<50:00:31, 9.38s/it][2022-12-20 17:44:11,727] [INFO] [timer.py:197:stop] 0/804, RunningAvgSamplesPerSec=10.88751326106109, CurrSamplesPerSec=10.694425366694842, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 804/20000 [2:17:27<49:21:00, 9.26s/it][2022-12-20 17:44:22,876] [INFO] [timer.py:197:stop] 0/805, RunningAvgSamplesPerSec=10.887488120033407, CurrSamplesPerSec=10.86736233429259, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 805/20000 [2:17:38<52:22:37, 9.82s/it][2022-12-20 17:44:32,973] [INFO] [timer.py:197:stop] 0/806, RunningAvgSamplesPerSec=10.887454399470222, CurrSamplesPerSec=10.860444046910112, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 806/20000 [2:17:48<52:48:43, 9.91s/it][2022-12-20 17:44:41,846] [INFO] [timer.py:197:stop] 0/807, RunningAvgSamplesPerSec=10.887422658124946, CurrSamplesPerSec=10.86196236948551, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 807/20000 [2:17:57<51:09:35, 9.60s/it][2022-12-20 17:44:51,384] [INFO] [timer.py:197:stop] 0/808, RunningAvgSamplesPerSec=10.887048916393582, CurrSamplesPerSec=10.594287299723279, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 808/20000 [2:18:06<51:03:44, 9.58s/it][2022-12-20 17:45:00,533] [INFO] [timer.py:197:stop] 0/809, RunningAvgSamplesPerSec=10.88710182454554, CurrSamplesPerSec=10.929913693995918, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 809/20000 [2:18:16<50:22:31, 9.45s/it][2022-12-20 17:45:09,442] [INFO] [logging.py:68:log_dist] [Rank 0] step=810, skipped=2, lr=[9.842564102564104e-06], mom=[[0.9, 0.999]] [2022-12-20 17:45:09,443] [INFO] [timer.py:197:stop] 0/810, RunningAvgSamplesPerSec=10.887518482659917, CurrSamplesPerSec=11.234490519953445, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 810/20000 [2:18:24<49:30:26, 9.29s/it][2022-12-20 17:45:19,510] [INFO] [timer.py:197:stop] 0/811, RunningAvgSamplesPerSec=10.887702665765243, CurrSamplesPerSec=11.038587556656271, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 811/20000 [2:18:34<50:45:05, 9.52s/it][2022-12-20 17:45:29,692] [INFO] [timer.py:197:stop] 0/812, RunningAvgSamplesPerSec=10.887615384672769, CurrSamplesPerSec=10.817460524708105, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 812/20000 [2:18:45<51:48:29, 9.72s/it][2022-12-20 17:45:41,779] [INFO] [timer.py:197:stop] 0/813, RunningAvgSamplesPerSec=10.887667991152954, CurrSamplesPerSec=10.930446871220633, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 813/20000 [2:18:57<55:35:12, 10.43s/it][2022-12-20 17:45:51,269] [INFO] [timer.py:197:stop] 0/814, RunningAvgSamplesPerSec=10.887309341074936, CurrSamplesPerSec=10.604021766975798, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 814/20000 [2:19:06<54:04:56, 10.15s/it][2022-12-20 17:46:02,212] [INFO] [timer.py:197:stop] 0/815, RunningAvgSamplesPerSec=10.887721690895319, CurrSamplesPerSec=11.233186853902449, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 815/20000 [2:19:17<55:21:01, 10.39s/it][2022-12-20 17:46:13,501] [INFO] [timer.py:197:stop] 0/816, RunningAvgSamplesPerSec=10.88798873269817, CurrSamplesPerSec=11.109516382282264, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 816/20000 [2:19:28<56:47:32, 10.66s/it][2022-12-20 17:46:23,399] [INFO] [timer.py:197:stop] 0/817, RunningAvgSamplesPerSec=10.88803403017633, CurrSamplesPerSec=10.925031623056423, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 817/20000 [2:19:38<55:34:24, 10.43s/it][2022-12-20 17:46:33,172] [INFO] [timer.py:197:stop] 0/818, RunningAvgSamplesPerSec=10.887701221591069, CurrSamplesPerSec=10.623063090443988, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 818/20000 [2:19:48<54:31:17, 10.23s/it][2022-12-20 17:46:42,794] [INFO] [timer.py:197:stop] 0/819, RunningAvgSamplesPerSec=10.88746667567467, CurrSamplesPerSec=10.699387481185875, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 819/20000 [2:19:58<53:32:34, 10.05s/it][2022-12-20 17:46:53,416] [INFO] [logging.py:68:log_dist] [Rank 0] step=820, skipped=2, lr=[9.8374358974359e-06], mom=[[0.9, 0.999]] [2022-12-20 17:46:53,417] [INFO] [timer.py:197:stop] 0/820, RunningAvgSamplesPerSec=10.88725150846439, CurrSamplesPerSec=10.714256588676863, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 820/20000 [2:20:08<54:27:26, 10.22s/it][2022-12-20 17:47:04,010] [INFO] [timer.py:197:stop] 0/821, RunningAvgSamplesPerSec=10.887497802928584, CurrSamplesPerSec=11.092769795881564, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 821/20000 [2:20:19<55:02:56, 10.33s/it][2022-12-20 17:47:13,941] [INFO] [timer.py:197:stop] 0/822, RunningAvgSamplesPerSec=10.887156641642848, CurrSamplesPerSec=10.614745326619511, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 822/20000 [2:20:29<54:24:11, 10.21s/it][2022-12-20 17:47:24,277] [INFO] [timer.py:197:stop] 0/823, RunningAvgSamplesPerSec=10.887231557809823, CurrSamplesPerSec=10.949011835362644, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 823/20000 [2:20:39<54:35:55, 10.25s/it][2022-12-20 17:47:34,082] [INFO] [timer.py:197:stop] 0/824, RunningAvgSamplesPerSec=10.887204358357755, CurrSamplesPerSec=10.864919372628115, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 824/20000 [2:20:49<53:53:06, 10.12s/it][2022-12-20 17:47:43,681] [INFO] [timer.py:197:stop] 0/825, RunningAvgSamplesPerSec=10.887089764036256, CurrSamplesPerSec=10.793702216079792, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 825/20000 [2:20:59<53:03:19, 9.96s/it] {'loss': 0.2501, 'learning_rate': 9.834871794871795e-06, 'epoch': 0.04} 4%|▍ | 825/20000 [2:20:59<53:03:19, 9.96s/it][2022-12-20 17:47:52,819] [INFO] [timer.py:197:stop] 0/826, RunningAvgSamplesPerSec=10.88725679755199, CurrSamplesPerSec=11.026485496356544, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 826/20000 [2:21:08<51:44:16, 9.71s/it][2022-12-20 17:48:02,996] [INFO] [timer.py:197:stop] 0/827, RunningAvgSamplesPerSec=10.887065023278534, CurrSamplesPerSec=10.731306546295754, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 827/20000 [2:21:18<52:28:28, 9.85s/it][2022-12-20 17:48:12,240] [INFO] [timer.py:197:stop] 0/828, RunningAvgSamplesPerSec=10.887115116472472, CurrSamplesPerSec=10.928599665394518, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 828/20000 [2:21:27<51:29:58, 9.67s/it][2022-12-20 17:48:22,435] [INFO] [timer.py:197:stop] 0/829, RunningAvgSamplesPerSec=10.887187375794257, CurrSamplesPerSec=10.947202994080524, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 829/20000 [2:21:37<52:20:06, 9.83s/it][2022-12-20 17:48:33,903] [INFO] [logging.py:68:log_dist] [Rank 0] step=830, skipped=2, lr=[9.832307692307693e-06], mom=[[0.9, 0.999]] [2022-12-20 17:48:33,904] [INFO] [timer.py:197:stop] 0/830, RunningAvgSamplesPerSec=10.88705686466994, CurrSamplesPerSec=10.780184958560202, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 830/20000 [2:21:49<54:57:17, 10.32s/it][2022-12-20 17:48:45,654] [INFO] [timer.py:197:stop] 0/831, RunningAvgSamplesPerSec=10.887364722534539, CurrSamplesPerSec=11.148389806202287, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 831/20000 [2:22:01<57:14:07, 10.75s/it][2022-12-20 17:48:58,433] [INFO] [timer.py:197:stop] 0/832, RunningAvgSamplesPerSec=10.887429418047805, CurrSamplesPerSec=10.941327827849616, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 832/20000 [2:22:13<60:28:29, 11.36s/it][2022-12-20 17:49:09,395] [INFO] [timer.py:197:stop] 0/833, RunningAvgSamplesPerSec=10.887731265361223, CurrSamplesPerSec=11.14417251291727, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 833/20000 [2:22:24<59:50:21, 11.24s/it][2022-12-20 17:49:18,265] [INFO] [timer.py:197:stop] 0/834, RunningAvgSamplesPerSec=10.887796906802457, CurrSamplesPerSec=10.942619939263436, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 834/20000 [2:22:33<56:03:10, 10.53s/it][2022-12-20 17:49:28,393] [INFO] [timer.py:197:stop] 0/835, RunningAvgSamplesPerSec=10.887801279566636, CurrSamplesPerSec=10.89144063691094, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 835/20000 [2:22:43<55:24:38, 10.41s/it][2022-12-20 17:49:38,202] [INFO] [timer.py:197:stop] 0/836, RunningAvgSamplesPerSec=10.888082770476254, CurrSamplesPerSec=11.127731893231328, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 836/20000 [2:22:53<54:27:00, 10.23s/it][2022-12-20 17:49:49,377] [INFO] [timer.py:197:stop] 0/837, RunningAvgSamplesPerSec=10.888434045122262, CurrSamplesPerSec=11.18950746242402, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 837/20000 [2:23:04<55:57:30, 10.51s/it][2022-12-20 17:49:58,850] [INFO] [timer.py:197:stop] 0/838, RunningAvgSamplesPerSec=10.888723241952405, CurrSamplesPerSec=11.13568605163679, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 838/20000 [2:23:14<54:17:45, 10.20s/it][2022-12-20 17:50:08,114] [INFO] [timer.py:197:stop] 0/839, RunningAvgSamplesPerSec=10.888801404535043, CurrSamplesPerSec=10.954540295936749, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 839/20000 [2:23:23<52:47:46, 9.92s/it][2022-12-20 17:50:17,249] [INFO] [logging.py:68:log_dist] [Rank 0] step=840, skipped=2, lr=[9.827179487179487e-06], mom=[[0.9, 0.999]] [2022-12-20 17:50:17,250] [INFO] [timer.py:197:stop] 0/840, RunningAvgSamplesPerSec=10.888672032166312, CurrSamplesPerSec=10.781454876815255, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 840/20000 [2:23:32<51:32:35, 9.68s/it][2022-12-20 17:50:29,611] [INFO] [timer.py:197:stop] 0/841, RunningAvgSamplesPerSec=10.888853062110856, CurrSamplesPerSec=11.042702132918143, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 841/20000 [2:23:45<55:48:49, 10.49s/it][2022-12-20 17:50:42,462] [INFO] [timer.py:197:stop] 0/842, RunningAvgSamplesPerSec=10.88883382669849, CurrSamplesPerSec=10.872719227889394, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 842/20000 [2:23:57<59:35:01, 11.20s/it][2022-12-20 17:50:51,836] [INFO] [timer.py:197:stop] 0/843, RunningAvgSamplesPerSec=10.889156560348423, CurrSamplesPerSec=11.167182803312354, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 843/20000 [2:24:07<56:40:18, 10.65s/it][2022-12-20 17:51:00,875] [INFO] [timer.py:197:stop] 0/844, RunningAvgSamplesPerSec=10.888930194169703, CurrSamplesPerSec=10.701831226585611, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 844/20000 [2:24:16<54:05:50, 10.17s/it][2022-12-20 17:51:11,271] [INFO] [timer.py:197:stop] 0/845, RunningAvgSamplesPerSec=10.889063927215865, CurrSamplesPerSec=11.002845155040722, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 845/20000 [2:24:26<54:27:38, 10.24s/it][2022-12-20 17:51:20,761] [INFO] [timer.py:197:stop] 0/846, RunningAvgSamplesPerSec=10.889232638156916, CurrSamplesPerSec=11.033340372803663, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 846/20000 [2:24:36<53:16:08, 10.01s/it][2022-12-20 17:51:29,908] [INFO] [timer.py:197:stop] 0/847, RunningAvgSamplesPerSec=10.889298136339523, CurrSamplesPerSec=10.94486100639301, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 847/20000 [2:24:45<51:53:05, 9.75s/it][2022-12-20 17:51:40,606] [INFO] [timer.py:197:stop] 0/848, RunningAvgSamplesPerSec=10.88884460986813, CurrSamplesPerSec=10.51865874877723, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 848/20000 [2:24:56<53:23:31, 10.04s/it][2022-12-20 17:51:52,730] [INFO] [timer.py:197:stop] 0/849, RunningAvgSamplesPerSec=10.888888471996955, CurrSamplesPerSec=10.926122871061184, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 849/20000 [2:25:08<56:43:15, 10.66s/it][2022-12-20 17:52:01,838] [INFO] [logging.py:68:log_dist] [Rank 0] step=850, skipped=2, lr=[9.822051282051283e-06], mom=[[0.9, 0.999]] [2022-12-20 17:52:01,839] [INFO] [timer.py:197:stop] 0/850, RunningAvgSamplesPerSec=10.889223646375115, CurrSamplesPerSec=11.180725043390394, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 850/20000 [2:25:17<54:14:20, 10.20s/it] {'loss': 0.241, 'learning_rate': 9.822051282051283e-06, 'epoch': 0.04} 4%|▍ | 850/20000 [2:25:17<54:14:20, 10.20s/it][2022-12-20 17:52:12,422] [INFO] [timer.py:197:stop] 0/851, RunningAvgSamplesPerSec=10.889215679110507, CurrSamplesPerSec=10.882463632987363, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 851/20000 [2:25:27<54:51:11, 10.31s/it][2022-12-20 17:52:22,727] [INFO] [timer.py:197:stop] 0/852, RunningAvgSamplesPerSec=10.889681100305031, CurrSamplesPerSec=11.299719872154917, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 852/20000 [2:25:38<54:50:21, 10.31s/it][2022-12-20 17:52:32,680] [INFO] [timer.py:197:stop] 0/853, RunningAvgSamplesPerSec=10.889438841071957, CurrSamplesPerSec=10.687344610549301, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 853/20000 [2:25:48<54:15:54, 10.20s/it][2022-12-20 17:52:42,813] [INFO] [timer.py:197:stop] 0/854, RunningAvgSamplesPerSec=10.889619864295735, CurrSamplesPerSec=11.045883824337023, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 854/20000 [2:25:58<54:09:06, 10.18s/it][2022-12-20 17:52:51,832] [INFO] [timer.py:197:stop] 0/855, RunningAvgSamplesPerSec=10.88967840466533, CurrSamplesPerSec=10.939784562799579, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 855/20000 [2:26:07<52:17:35, 9.83s/it][2022-12-20 17:53:01,243] [INFO] [timer.py:197:stop] 0/856, RunningAvgSamplesPerSec=10.889671281323267, CurrSamplesPerSec=10.883598463020459, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 856/20000 [2:26:16<51:37:01, 9.71s/it][2022-12-20 17:53:10,192] [INFO] [timer.py:197:stop] 0/857, RunningAvgSamplesPerSec=10.889822395702693, CurrSamplesPerSec=11.020423599673503, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 857/20000 [2:26:25<50:24:20, 9.48s/it][2022-12-20 17:53:19,588] [INFO] [timer.py:197:stop] 0/858, RunningAvgSamplesPerSec=10.890093176549074, CurrSamplesPerSec=11.126645662853862, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 858/20000 [2:26:35<50:16:13, 9.45s/it][2022-12-20 17:53:29,864] [INFO] [timer.py:197:stop] 0/859, RunningAvgSamplesPerSec=10.890457526129396, CurrSamplesPerSec=11.211546936074681, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 859/20000 [2:26:45<51:34:41, 9.70s/it][2022-12-20 17:53:41,408] [INFO] [logging.py:68:log_dist] [Rank 0] step=860, skipped=2, lr=[9.816923076923077e-06], mom=[[0.9, 0.999]] [2022-12-20 17:53:41,409] [INFO] [timer.py:197:stop] 0/860, RunningAvgSamplesPerSec=10.890339952928342, CurrSamplesPerSec=10.790504500802689, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 860/20000 [2:26:56<54:31:01, 10.25s/it][2022-12-20 17:53:51,363] [INFO] [timer.py:197:stop] 0/861, RunningAvgSamplesPerSec=10.889948466738765, CurrSamplesPerSec=10.564115197872722, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 861/20000 [2:27:06<54:02:10, 10.16s/it][2022-12-20 17:54:00,582] [INFO] [timer.py:197:stop] 0/862, RunningAvgSamplesPerSec=10.890057277682216, CurrSamplesPerSec=10.98433600786774, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 862/20000 [2:27:16<52:31:32, 9.88s/it][2022-12-20 17:54:14,487] [INFO] [timer.py:197:stop] 0/863, RunningAvgSamplesPerSec=10.890260713718975, CurrSamplesPerSec=11.0680756725483, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 863/20000 [2:27:29<58:56:30, 11.09s/it][2022-12-20 17:54:24,075] [INFO] [timer.py:197:stop] 0/864, RunningAvgSamplesPerSec=10.890572898823406, CurrSamplesPerSec=11.16617432172371, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 864/20000 [2:27:39<56:32:47, 10.64s/it][2022-12-20 17:54:33,135] [INFO] [timer.py:197:stop] 0/865, RunningAvgSamplesPerSec=10.890317410069008, CurrSamplesPerSec=10.674456453035672, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 865/20000 [2:27:48<54:01:37, 10.16s/it][2022-12-20 17:54:42,324] [INFO] [timer.py:197:stop] 0/866, RunningAvgSamplesPerSec=10.890588647226455, CurrSamplesPerSec=11.129814081609155, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 866/20000 [2:27:57<52:28:07, 9.87s/it][2022-12-20 17:54:52,995] [INFO] [timer.py:197:stop] 0/867, RunningAvgSamplesPerSec=10.890625382270773, CurrSamplesPerSec=10.922457337345138, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 867/20000 [2:28:08<53:44:28, 10.11s/it][2022-12-20 17:55:01,894] [INFO] [timer.py:197:stop] 0/868, RunningAvgSamplesPerSec=10.89068845208272, CurrSamplesPerSec=10.945518822052389, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 868/20000 [2:28:17<51:48:16, 9.75s/it][2022-12-20 17:55:12,547] [INFO] [timer.py:197:stop] 0/869, RunningAvgSamplesPerSec=10.890722654857312, CurrSamplesPerSec=10.920423127589062, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 869/20000 [2:28:28<53:14:40, 10.02s/it][2022-12-20 17:55:23,712] [INFO] [logging.py:68:log_dist] [Rank 0] step=870, skipped=2, lr=[9.811794871794873e-06], mom=[[0.9, 0.999]] [2022-12-20 17:55:23,713] [INFO] [timer.py:197:stop] 0/870, RunningAvgSamplesPerSec=10.891022786697885, CurrSamplesPerSec=11.157613982584119, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 870/20000 [2:28:39<55:04:10, 10.36s/it][2022-12-20 17:55:33,630] [INFO] [timer.py:197:stop] 0/871, RunningAvgSamplesPerSec=10.89078025650575, CurrSamplesPerSec=10.68426062443006, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 871/20000 [2:28:49<54:21:21, 10.23s/it][2022-12-20 17:55:43,727] [INFO] [timer.py:197:stop] 0/872, RunningAvgSamplesPerSec=10.890832578018722, CurrSamplesPerSec=10.936490807573945, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 872/20000 [2:28:59<54:08:27, 10.19s/it][2022-12-20 17:55:52,742] [INFO] [timer.py:197:stop] 0/873, RunningAvgSamplesPerSec=10.891098724340315, CurrSamplesPerSec=11.12768161291934, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 873/20000 [2:29:08<52:16:00, 9.84s/it][2022-12-20 17:56:01,640] [INFO] [timer.py:197:stop] 0/874, RunningAvgSamplesPerSec=10.890968457565867, CurrSamplesPerSec=10.778677292085737, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 874/20000 [2:29:17<50:45:56, 9.56s/it][2022-12-20 17:56:11,445] [INFO] [timer.py:197:stop] 0/875, RunningAvgSamplesPerSec=10.890844835756589, CurrSamplesPerSec=10.784104353201707, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 875/20000 [2:29:26<51:09:43, 9.63s/it] {'loss': 0.2323, 'learning_rate': 9.80923076923077e-06, 'epoch': 0.04} 4%|▍ | 875/20000 [2:29:26<51:09:43, 9.63s/it][2022-12-20 17:56:20,630] [INFO] [timer.py:197:stop] 0/876, RunningAvgSamplesPerSec=10.890375917800332, CurrSamplesPerSec=10.495857342759276, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 876/20000 [2:29:36<50:26:53, 9.50s/it][2022-12-20 17:56:29,369] [INFO] [timer.py:197:stop] 0/877, RunningAvgSamplesPerSec=10.890627245042472, CurrSamplesPerSec=11.114814198020118, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 877/20000 [2:29:44<49:14:18, 9.27s/it][2022-12-20 17:56:39,243] [INFO] [timer.py:197:stop] 0/878, RunningAvgSamplesPerSec=10.891059073763294, CurrSamplesPerSec=11.282505410915391, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 878/20000 [2:29:54<50:11:57, 9.45s/it][2022-12-20 17:56:48,401] [INFO] [timer.py:197:stop] 0/879, RunningAvgSamplesPerSec=10.89078121872313, CurrSamplesPerSec=10.652707061232514, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 879/20000 [2:30:03<49:43:46, 9.36s/it][2022-12-20 17:56:58,492] [INFO] [logging.py:68:log_dist] [Rank 0] step=880, skipped=2, lr=[9.806666666666667e-06], mom=[[0.9, 0.999]] [2022-12-20 17:56:58,493] [INFO] [timer.py:197:stop] 0/880, RunningAvgSamplesPerSec=10.890836818707564, CurrSamplesPerSec=10.939817554955033, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 880/20000 [2:30:13<50:53:21, 9.58s/it][2022-12-20 17:57:09,689] [INFO] [timer.py:197:stop] 0/881, RunningAvgSamplesPerSec=10.890630520955968, CurrSamplesPerSec=10.712467617422908, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 881/20000 [2:30:25<53:27:33, 10.07s/it][2022-12-20 17:57:19,602] [INFO] [timer.py:197:stop] 0/882, RunningAvgSamplesPerSec=10.890212989217705, CurrSamplesPerSec=10.535181110733166, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 882/20000 [2:30:35<53:12:44, 10.02s/it][2022-12-20 17:57:30,605] [INFO] [timer.py:197:stop] 0/883, RunningAvgSamplesPerSec=10.88999815996729, CurrSamplesPerSec=10.704177914072755, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 883/20000 [2:30:46<54:46:31, 10.32s/it][2022-12-20 17:57:39,685] [INFO] [timer.py:197:stop] 0/884, RunningAvgSamplesPerSec=10.889809545837313, CurrSamplesPerSec=10.726140775588545, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 884/20000 [2:30:55<52:48:20, 9.94s/it][2022-12-20 17:57:50,185] [INFO] [timer.py:197:stop] 0/885, RunningAvgSamplesPerSec=10.890094628254825, CurrSamplesPerSec=11.147487022201831, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 885/20000 [2:31:05<53:41:15, 10.11s/it][2022-12-20 17:57:59,467] [INFO] [timer.py:197:stop] 0/886, RunningAvgSamplesPerSec=10.889685422179136, CurrSamplesPerSec=10.539973341001945, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 886/20000 [2:31:14<52:21:49, 9.86s/it][2022-12-20 17:58:08,378] [INFO] [timer.py:197:stop] 0/887, RunningAvgSamplesPerSec=10.889791234809767, CurrSamplesPerSec=10.984140938194257, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 887/20000 [2:31:23<50:50:41, 9.58s/it][2022-12-20 17:58:18,921] [INFO] [timer.py:197:stop] 0/888, RunningAvgSamplesPerSec=10.889811066283176, CurrSamplesPerSec=10.90739028427796, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 888/20000 [2:31:34<52:22:55, 9.87s/it][2022-12-20 17:58:28,185] [INFO] [timer.py:197:stop] 0/889, RunningAvgSamplesPerSec=10.889887745428467, CurrSamplesPerSec=10.958252450013456, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 889/20000 [2:31:43<51:25:08, 9.69s/it][2022-12-20 17:58:38,025] [INFO] [logging.py:68:log_dist] [Rank 0] step=890, skipped=2, lr=[9.801538461538463e-06], mom=[[0.9, 0.999]] [2022-12-20 17:58:38,026] [INFO] [timer.py:197:stop] 0/890, RunningAvgSamplesPerSec=10.889683961671956, CurrSamplesPerSec=10.711882397789557, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 890/20000 [2:31:53<51:39:43, 9.73s/it][2022-12-20 17:58:49,463] [INFO] [timer.py:197:stop] 0/891, RunningAvgSamplesPerSec=10.889532375924071, CurrSamplesPerSec=10.75656966689773, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 891/20000 [2:32:04<54:22:36, 10.24s/it][2022-12-20 17:58:58,496] [INFO] [timer.py:197:stop] 0/892, RunningAvgSamplesPerSec=10.889652943307688, CurrSamplesPerSec=10.997904037033296, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 892/20000 [2:32:13<52:26:37, 9.88s/it][2022-12-20 17:59:08,857] [INFO] [timer.py:197:stop] 0/893, RunningAvgSamplesPerSec=10.889568077142421, CurrSamplesPerSec=10.814558049988245, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 893/20000 [2:32:24<53:12:20, 10.02s/it][2022-12-20 17:59:18,510] [INFO] [timer.py:197:stop] 0/894, RunningAvgSamplesPerSec=10.889871849686015, CurrSamplesPerSec=11.167439714191243, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 894/20000 [2:32:33<52:36:41, 9.91s/it][2022-12-20 17:59:28,054] [INFO] [timer.py:197:stop] 0/895, RunningAvgSamplesPerSec=10.889699242527785, CurrSamplesPerSec=10.737882546041291, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 895/20000 [2:32:43<52:01:11, 9.80s/it][2022-12-20 17:59:38,364] [INFO] [timer.py:197:stop] 0/896, RunningAvgSamplesPerSec=10.88955357561422, CurrSamplesPerSec=10.761010248428244, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 896/20000 [2:32:53<52:49:35, 9.95s/it][2022-12-20 17:59:47,769] [INFO] [timer.py:197:stop] 0/897, RunningAvgSamplesPerSec=10.889585545853018, CurrSamplesPerSec=10.918242237368085, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 897/20000 [2:33:03<51:56:54, 9.79s/it][2022-12-20 17:59:56,659] [INFO] [timer.py:197:stop] 0/898, RunningAvgSamplesPerSec=10.889527075884114, CurrSamplesPerSec=10.837447008896353, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 898/20000 [2:33:12<50:30:47, 9.52s/it][2022-12-20 18:00:07,592] [INFO] [timer.py:197:stop] 0/899, RunningAvgSamplesPerSec=10.889614240037009, CurrSamplesPerSec=10.968278119120116, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 899/20000 [2:33:23<52:45:34, 9.94s/it][2022-12-20 18:00:16,829] [INFO] [logging.py:68:log_dist] [Rank 0] step=900, skipped=2, lr=[9.796410256410257e-06], mom=[[0.9, 0.999]] [2022-12-20 18:00:16,830] [INFO] [timer.py:197:stop] 0/900, RunningAvgSamplesPerSec=10.889644113772368, CurrSamplesPerSec=10.916507031127903, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 4%|▍ | 900/20000 [2:33:32<51:37:59, 9.73s/it] {'loss': 0.2507, 'learning_rate': 9.796410256410257e-06, 'epoch': 0.04} 4%|▍ | 900/20000 [2:33:32<51:37:59, 9.73s/it][2022-12-20 18:00:26,025] [INFO] [timer.py:197:stop] 0/901, RunningAvgSamplesPerSec=10.889506539626668, CurrSamplesPerSec=10.767352340895878, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 901/20000 [2:33:41<50:46:35, 9.57s/it][2022-12-20 18:00:36,728] [INFO] [timer.py:197:stop] 0/902, RunningAvgSamplesPerSec=10.88936453431939, CurrSamplesPerSec=10.763182716258871, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 902/20000 [2:33:52<52:34:31, 9.91s/it][2022-12-20 18:00:45,919] [INFO] [timer.py:197:stop] 0/903, RunningAvgSamplesPerSec=10.889453617144978, CurrSamplesPerSec=10.970223496136674, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 903/20000 [2:34:01<51:25:38, 9.69s/it][2022-12-20 18:00:55,076] [INFO] [timer.py:197:stop] 0/904, RunningAvgSamplesPerSec=10.889665110805343, CurrSamplesPerSec=11.083618614171607, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 904/20000 [2:34:10<50:34:11, 9.53s/it][2022-12-20 18:01:04,225] [INFO] [timer.py:197:stop] 0/905, RunningAvgSamplesPerSec=10.889781084581273, CurrSamplesPerSec=10.99540519126754, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 905/20000 [2:34:19<49:57:16, 9.42s/it][2022-12-20 18:01:13,675] [INFO] [timer.py:197:stop] 0/906, RunningAvgSamplesPerSec=10.889498819965986, CurrSamplesPerSec=10.640449693850005, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 906/20000 [2:34:29<50:00:12, 9.43s/it][2022-12-20 18:01:22,713] [INFO] [timer.py:197:stop] 0/907, RunningAvgSamplesPerSec=10.889106811054173, CurrSamplesPerSec=10.545912069867889, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 907/20000 [2:34:38<49:22:48, 9.31s/it][2022-12-20 18:01:33,185] [INFO] [timer.py:197:stop] 0/908, RunningAvgSamplesPerSec=10.888999821582768, CurrSamplesPerSec=10.79302867265413, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 908/20000 [2:34:48<51:13:32, 9.66s/it][2022-12-20 18:01:43,182] [INFO] [timer.py:197:stop] 0/909, RunningAvgSamplesPerSec=10.889069662973505, CurrSamplesPerSec=10.952716220862136, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 909/20000 [2:34:58<51:45:37, 9.76s/it][2022-12-20 18:01:52,801] [INFO] [logging.py:68:log_dist] [Rank 0] step=910, skipped=2, lr=[9.791282051282051e-06], mom=[[0.9, 0.999]] [2022-12-20 18:01:52,802] [INFO] [timer.py:197:stop] 0/910, RunningAvgSamplesPerSec=10.88902377033846, CurrSamplesPerSec=10.847557833708779, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 910/20000 [2:35:08<51:32:06, 9.72s/it][2022-12-20 18:02:02,723] [INFO] [timer.py:197:stop] 0/911, RunningAvgSamplesPerSec=10.889101494689111, CurrSamplesPerSec=10.960136096784654, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 911/20000 [2:35:18<51:51:13, 9.78s/it][2022-12-20 18:02:13,286] [INFO] [timer.py:197:stop] 0/912, RunningAvgSamplesPerSec=10.889116260403643, CurrSamplesPerSec=10.902554877710733, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 912/20000 [2:35:28<53:05:54, 10.01s/it][2022-12-20 18:02:22,164] [INFO] [timer.py:197:stop] 0/913, RunningAvgSamplesPerSec=10.889258697266207, CurrSamplesPerSec=11.020439434939613, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 913/20000 [2:35:37<51:17:14, 9.67s/it][2022-12-20 18:02:33,533] [INFO] [timer.py:197:stop] 0/914, RunningAvgSamplesPerSec=10.88930814485877, CurrSamplesPerSec=10.934542230903526, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 914/20000 [2:35:49<53:59:00, 10.18s/it][2022-12-20 18:02:42,982] [INFO] [timer.py:197:stop] 0/915, RunningAvgSamplesPerSec=10.889651453343392, CurrSamplesPerSec=11.212027864307272, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 915/20000 [2:35:58<52:48:47, 9.96s/it][2022-12-20 18:02:51,942] [INFO] [timer.py:197:stop] 0/916, RunningAvgSamplesPerSec=10.889458578684263, CurrSamplesPerSec=10.716169362095288, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 916/20000 [2:36:07<51:13:01, 9.66s/it][2022-12-20 18:03:04,079] [INFO] [timer.py:197:stop] 0/917, RunningAvgSamplesPerSec=10.88969348599359, CurrSamplesPerSec=11.108721938611561, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 917/20000 [2:36:19<55:09:00, 10.40s/it][2022-12-20 18:03:13,478] [INFO] [timer.py:197:stop] 0/918, RunningAvgSamplesPerSec=10.88980275417305, CurrSamplesPerSec=10.990710596024401, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 918/20000 [2:36:28<53:32:59, 10.10s/it][2022-12-20 18:03:22,893] [INFO] [timer.py:197:stop] 0/919, RunningAvgSamplesPerSec=10.889503233357878, CurrSamplesPerSec=10.621891993425427, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 919/20000 [2:36:38<52:27:08, 9.90s/it][2022-12-20 18:03:31,933] [INFO] [logging.py:68:log_dist] [Rank 0] step=920, skipped=2, lr=[9.786153846153847e-06], mom=[[0.9, 0.999]] [2022-12-20 18:03:31,934] [INFO] [timer.py:197:stop] 0/920, RunningAvgSamplesPerSec=10.889754462864047, CurrSamplesPerSec=11.125116536159291, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 920/20000 [2:36:47<51:05:26, 9.64s/it][2022-12-20 18:03:41,425] [INFO] [timer.py:197:stop] 0/921, RunningAvgSamplesPerSec=10.889787863124436, CurrSamplesPerSec=10.920535971273509, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 921/20000 [2:36:56<50:51:02, 9.59s/it][2022-12-20 18:03:50,409] [INFO] [timer.py:197:stop] 0/922, RunningAvgSamplesPerSec=10.889842911971579, CurrSamplesPerSec=10.940669178096233, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 922/20000 [2:37:05<49:52:38, 9.41s/it][2022-12-20 18:04:01,845] [INFO] [timer.py:197:stop] 0/923, RunningAvgSamplesPerSec=10.889936285131043, CurrSamplesPerSec=10.976523360857025, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 923/20000 [2:37:17<53:05:36, 10.02s/it][2022-12-20 18:04:10,643] [INFO] [timer.py:197:stop] 0/924, RunningAvgSamplesPerSec=10.890231808724439, CurrSamplesPerSec=11.169393645695793, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 924/20000 [2:37:26<51:08:56, 9.65s/it][2022-12-20 18:04:20,559] [INFO] [timer.py:197:stop] 0/925, RunningAvgSamplesPerSec=10.890486189694382, CurrSamplesPerSec=11.130193416298711, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 925/20000 [2:37:36<51:33:51, 9.73s/it] {'loss': 0.2157, 'learning_rate': 9.783589743589744e-06, 'epoch': 0.05} 5%|▍ | 925/20000 [2:37:36<51:33:51, 9.73s/it][2022-12-20 18:04:31,247] [INFO] [timer.py:197:stop] 0/926, RunningAvgSamplesPerSec=10.890309353689267, CurrSamplesPerSec=10.729502442278186, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 926/20000 [2:37:46<53:04:52, 10.02s/it][2022-12-20 18:04:41,859] [INFO] [timer.py:197:stop] 0/927, RunningAvgSamplesPerSec=10.89010137512279, CurrSamplesPerSec=10.701265086033345, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 927/20000 [2:37:57<54:01:18, 10.20s/it][2022-12-20 18:04:51,226] [INFO] [timer.py:197:stop] 0/928, RunningAvgSamplesPerSec=10.890063016110394, CurrSamplesPerSec=10.85469628636859, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 928/20000 [2:38:06<52:42:06, 9.95s/it][2022-12-20 18:05:01,048] [INFO] [timer.py:197:stop] 0/929, RunningAvgSamplesPerSec=10.89012930381486, CurrSamplesPerSec=10.95186004033375, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 929/20000 [2:38:16<52:29:55, 9.91s/it][2022-12-20 18:05:09,919] [INFO] [logging.py:68:log_dist] [Rank 0] step=930, skipped=2, lr=[9.781025641025642e-06], mom=[[0.9, 0.999]] [2022-12-20 18:05:09,920] [INFO] [timer.py:197:stop] 0/930, RunningAvgSamplesPerSec=10.890246710609093, CurrSamplesPerSec=11.00018268381955, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 930/20000 [2:38:25<50:50:43, 9.60s/it][2022-12-20 18:05:20,954] [INFO] [timer.py:197:stop] 0/931, RunningAvgSamplesPerSec=10.889768588562736, CurrSamplesPerSec=10.463459751404818, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 931/20000 [2:38:36<53:07:25, 10.03s/it][2022-12-20 18:05:30,275] [INFO] [timer.py:197:stop] 0/932, RunningAvgSamplesPerSec=10.889777511537805, CurrSamplesPerSec=10.898073277020526, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 932/20000 [2:38:45<51:59:46, 9.82s/it][2022-12-20 18:05:39,835] [INFO] [timer.py:197:stop] 0/933, RunningAvgSamplesPerSec=10.889347617068177, CurrSamplesPerSec=10.503719308509874, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 933/20000 [2:38:55<51:35:09, 9.74s/it][2022-12-20 18:05:49,429] [INFO] [timer.py:197:stop] 0/934, RunningAvgSamplesPerSec=10.88931401304199, CurrSamplesPerSec=10.858118386963694, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 934/20000 [2:39:04<51:21:05, 9.70s/it][2022-12-20 18:05:58,702] [INFO] [timer.py:197:stop] 0/935, RunningAvgSamplesPerSec=10.888839175163213, CurrSamplesPerSec=10.46359189959896, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 935/20000 [2:39:14<50:40:33, 9.57s/it][2022-12-20 18:06:07,702] [INFO] [timer.py:197:stop] 0/936, RunningAvgSamplesPerSec=10.889078861570963, CurrSamplesPerSec=11.117400309887662, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 936/20000 [2:39:23<49:46:08, 9.40s/it][2022-12-20 18:06:16,670] [INFO] [timer.py:197:stop] 0/937, RunningAvgSamplesPerSec=10.889112386052474, CurrSamplesPerSec=10.920514646304035, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 937/20000 [2:39:32<49:05:01, 9.27s/it][2022-12-20 18:06:25,730] [INFO] [timer.py:197:stop] 0/938, RunningAvgSamplesPerSec=10.889166598130945, CurrSamplesPerSec=10.940092200080247, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 938/20000 [2:39:41<48:44:54, 9.21s/it][2022-12-20 18:06:34,653] [INFO] [timer.py:197:stop] 0/939, RunningAvgSamplesPerSec=10.889031863648814, CurrSamplesPerSec=10.764365753226627, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 939/20000 [2:39:50<48:17:45, 9.12s/it][2022-12-20 18:06:44,304] [INFO] [logging.py:68:log_dist] [Rank 0] step=940, skipped=2, lr=[9.775897435897436e-06], mom=[[0.9, 0.999]] [2022-12-20 18:06:44,305] [INFO] [timer.py:197:stop] 0/940, RunningAvgSamplesPerSec=10.889069923518132, CurrSamplesPerSec=10.924849324958721, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 940/20000 [2:39:59<49:08:04, 9.28s/it][2022-12-20 18:06:53,310] [INFO] [timer.py:197:stop] 0/941, RunningAvgSamplesPerSec=10.889076748178091, CurrSamplesPerSec=10.895482048817165, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 941/20000 [2:40:08<48:41:41, 9.20s/it][2022-12-20 18:07:02,395] [INFO] [timer.py:197:stop] 0/942, RunningAvgSamplesPerSec=10.88902421321265, CurrSamplesPerSec=10.839916588894615, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 942/20000 [2:40:17<48:30:50, 9.16s/it][2022-12-20 18:07:12,264] [INFO] [timer.py:197:stop] 0/943, RunningAvgSamplesPerSec=10.88878062869828, CurrSamplesPerSec=10.664531711309689, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 943/20000 [2:40:27<49:37:48, 9.38s/it][2022-12-20 18:07:21,869] [INFO] [timer.py:197:stop] 0/944, RunningAvgSamplesPerSec=10.888613754957177, CurrSamplesPerSec=10.733820263447692, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 944/20000 [2:40:37<49:59:32, 9.44s/it][2022-12-20 18:07:31,042] [INFO] [timer.py:197:stop] 0/945, RunningAvgSamplesPerSec=10.888644699482919, CurrSamplesPerSec=10.917872771603257, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 945/20000 [2:40:46<49:33:32, 9.36s/it][2022-12-20 18:07:39,875] [INFO] [timer.py:197:stop] 0/946, RunningAvgSamplesPerSec=10.888672958473482, CurrSamplesPerSec=10.915386633206994, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 946/20000 [2:40:55<48:42:51, 9.20s/it][2022-12-20 18:07:49,029] [INFO] [timer.py:197:stop] 0/947, RunningAvgSamplesPerSec=10.889024666579138, CurrSamplesPerSec=11.231490143639903, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 947/20000 [2:41:04<48:37:58, 9.19s/it][2022-12-20 18:07:58,575] [INFO] [timer.py:197:stop] 0/948, RunningAvgSamplesPerSec=10.88900200973542, CurrSamplesPerSec=10.867633353430131, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 948/20000 [2:41:14<49:11:46, 9.30s/it][2022-12-20 18:08:07,564] [INFO] [timer.py:197:stop] 0/949, RunningAvgSamplesPerSec=10.888656320964975, CurrSamplesPerSec=10.571179674070255, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 949/20000 [2:41:23<48:42:21, 9.20s/it][2022-12-20 18:08:17,613] [INFO] [logging.py:68:log_dist] [Rank 0] step=950, skipped=2, lr=[9.770769230769232e-06], mom=[[0.9, 0.999]] [2022-12-20 18:08:17,614] [INFO] [timer.py:197:stop] 0/950, RunningAvgSamplesPerSec=10.888959388852214, CurrSamplesPerSec=11.183742619246528, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 950/20000 [2:41:33<50:02:48, 9.46s/it] {'loss': 0.2356, 'learning_rate': 9.770769230769232e-06, 'epoch': 0.05} 5%|▍ | 950/20000 [2:41:33<50:02:48, 9.46s/it][2022-12-20 18:08:28,430] [INFO] [timer.py:197:stop] 0/951, RunningAvgSamplesPerSec=10.88851946282484, CurrSamplesPerSec=10.486869723831322, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 951/20000 [2:41:43<52:12:03, 9.87s/it][2022-12-20 18:08:39,177] [INFO] [timer.py:197:stop] 0/952, RunningAvgSamplesPerSec=10.88881479417171, CurrSamplesPerSec=11.17649675014665, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 952/20000 [2:41:54<53:35:54, 10.13s/it][2022-12-20 18:08:48,475] [INFO] [timer.py:197:stop] 0/953, RunningAvgSamplesPerSec=10.888804439459145, CurrSamplesPerSec=10.878976350592012, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 953/20000 [2:42:03<52:16:29, 9.88s/it][2022-12-20 18:08:58,220] [INFO] [timer.py:197:stop] 0/954, RunningAvgSamplesPerSec=10.888792484043694, CurrSamplesPerSec=10.877434755661831, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 954/20000 [2:42:13<52:03:25, 9.84s/it][2022-12-20 18:09:08,214] [INFO] [timer.py:197:stop] 0/955, RunningAvgSamplesPerSec=10.88878467820435, CurrSamplesPerSec=10.881358592478684, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 955/20000 [2:42:23<52:18:05, 9.89s/it][2022-12-20 18:09:18,559] [INFO] [timer.py:197:stop] 0/956, RunningAvgSamplesPerSec=10.888767961408988, CurrSamplesPerSec=10.872860154197621, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 956/20000 [2:42:34<53:01:28, 10.02s/it][2022-12-20 18:09:27,583] [INFO] [timer.py:197:stop] 0/957, RunningAvgSamplesPerSec=10.888518937881502, CurrSamplesPerSec=10.656028347960545, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 957/20000 [2:42:43<51:26:19, 9.72s/it][2022-12-20 18:09:36,376] [INFO] [timer.py:197:stop] 0/958, RunningAvgSamplesPerSec=10.888776167827308, CurrSamplesPerSec=11.140106810549284, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 958/20000 [2:42:51<49:57:19, 9.44s/it][2022-12-20 18:09:46,955] [INFO] [timer.py:197:stop] 0/959, RunningAvgSamplesPerSec=10.889073753169173, CurrSamplesPerSec=11.181205659608581, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 959/20000 [2:43:02<51:45:14, 9.78s/it][2022-12-20 18:09:56,411] [INFO] [logging.py:68:log_dist] [Rank 0] step=960, skipped=2, lr=[9.765641025641026e-06], mom=[[0.9, 0.999]] [2022-12-20 18:09:56,412] [INFO] [timer.py:197:stop] 0/960, RunningAvgSamplesPerSec=10.889043327139039, CurrSamplesPerSec=10.860003351430139, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 960/20000 [2:43:11<51:13:46, 9.69s/it][2022-12-20 18:10:05,354] [INFO] [timer.py:197:stop] 0/961, RunningAvgSamplesPerSec=10.88910782218761, CurrSamplesPerSec=10.95124703296714, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 961/20000 [2:43:20<50:02:50, 9.46s/it][2022-12-20 18:10:14,878] [INFO] [timer.py:197:stop] 0/962, RunningAvgSamplesPerSec=10.889155607088677, CurrSamplesPerSec=10.935175197149343, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 962/20000 [2:43:30<50:08:31, 9.48s/it][2022-12-20 18:10:25,879] [INFO] [timer.py:197:stop] 0/963, RunningAvgSamplesPerSec=10.889220548314675, CurrSamplesPerSec=10.951923489621608, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 963/20000 [2:43:41<52:32:55, 9.94s/it][2022-12-20 18:10:34,834] [INFO] [timer.py:197:stop] 0/964, RunningAvgSamplesPerSec=10.889074294139077, CurrSamplesPerSec=10.75031690022957, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 964/20000 [2:43:50<50:59:12, 9.64s/it][2022-12-20 18:10:44,315] [INFO] [timer.py:197:stop] 0/965, RunningAvgSamplesPerSec=10.889351857794074, CurrSamplesPerSec=11.163087298783234, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 965/20000 [2:43:59<50:43:42, 9.59s/it][2022-12-20 18:10:54,332] [INFO] [timer.py:197:stop] 0/966, RunningAvgSamplesPerSec=10.889233380731433, CurrSamplesPerSec=10.776324218853812, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 966/20000 [2:44:09<51:23:47, 9.72s/it][2022-12-20 18:11:03,297] [INFO] [timer.py:197:stop] 0/967, RunningAvgSamplesPerSec=10.889297797319538, CurrSamplesPerSec=10.951751910142871, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 967/20000 [2:44:18<50:11:42, 9.49s/it][2022-12-20 18:11:13,022] [INFO] [timer.py:197:stop] 0/968, RunningAvgSamplesPerSec=10.889454716334889, CurrSamplesPerSec=11.043019220131777, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 968/20000 [2:44:28<50:33:33, 9.56s/it][2022-12-20 18:11:22,208] [INFO] [timer.py:197:stop] 0/969, RunningAvgSamplesPerSec=10.889748822706025, CurrSamplesPerSec=11.181474394244285, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 969/20000 [2:44:37<49:57:22, 9.45s/it][2022-12-20 18:11:30,951] [INFO] [logging.py:68:log_dist] [Rank 0] step=970, skipped=2, lr=[9.76051282051282e-06], mom=[[0.9, 0.999]] [2022-12-20 18:11:30,952] [INFO] [timer.py:197:stop] 0/970, RunningAvgSamplesPerSec=10.889979272978856, CurrSamplesPerSec=11.117485030237718, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 970/20000 [2:44:46<48:50:07, 9.24s/it][2022-12-20 18:11:40,997] [INFO] [timer.py:197:stop] 0/971, RunningAvgSamplesPerSec=10.889650416595076, CurrSamplesPerSec=10.580367914045787, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 971/20000 [2:44:56<50:06:44, 9.48s/it][2022-12-20 18:11:50,639] [INFO] [timer.py:197:stop] 0/972, RunningAvgSamplesPerSec=10.889340016752591, CurrSamplesPerSec=10.596655238870314, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 972/20000 [2:45:06<50:21:55, 9.53s/it][2022-12-20 18:11:59,460] [INFO] [timer.py:197:stop] 0/973, RunningAvgSamplesPerSec=10.88940154559831, CurrSamplesPerSec=10.949413782022702, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 973/20000 [2:45:14<49:14:24, 9.32s/it][2022-12-20 18:12:10,230] [INFO] [timer.py:197:stop] 0/974, RunningAvgSamplesPerSec=10.889312589125929, CurrSamplesPerSec=10.803616318630779, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 974/20000 [2:45:25<51:32:28, 9.75s/it][2022-12-20 18:12:19,264] [INFO] [timer.py:197:stop] 0/975, RunningAvgSamplesPerSec=10.88929779787891, CurrSamplesPerSec=10.874939682238477, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 975/20000 [2:45:34<50:23:57, 9.54s/it] {'loss': 0.2352, 'learning_rate': 9.757948717948719e-06, 'epoch': 0.05} 5%|▍ | 975/20000 [2:45:34<50:23:57, 9.54s/it][2022-12-20 18:12:29,529] [INFO] [timer.py:197:stop] 0/976, RunningAvgSamplesPerSec=10.889238821409515, CurrSamplesPerSec=10.83215584170532, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 976/20000 [2:45:44<51:33:05, 9.76s/it][2022-12-20 18:12:40,456] [INFO] [timer.py:197:stop] 0/977, RunningAvgSamplesPerSec=10.889301096631383, CurrSamplesPerSec=10.950297275172037, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 977/20000 [2:45:55<53:24:23, 10.11s/it][2022-12-20 18:12:49,488] [INFO] [timer.py:197:stop] 0/978, RunningAvgSamplesPerSec=10.88956126002339, CurrSamplesPerSec=11.149276528710102, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 978/20000 [2:46:04<51:41:57, 9.78s/it][2022-12-20 18:13:00,345] [INFO] [timer.py:197:stop] 0/979, RunningAvgSamplesPerSec=10.889378627082502, CurrSamplesPerSec=10.714002573096446, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 979/20000 [2:46:15<53:23:58, 10.11s/it][2022-12-20 18:13:09,834] [INFO] [logging.py:68:log_dist] [Rank 0] step=980, skipped=2, lr=[9.755384615384616e-06], mom=[[0.9, 0.999]] [2022-12-20 18:13:09,834] [INFO] [timer.py:197:stop] 0/980, RunningAvgSamplesPerSec=10.889586636220361, CurrSamplesPerSec=11.09668036881585, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 980/20000 [2:46:25<52:24:57, 9.92s/it][2022-12-20 18:13:20,352] [INFO] [timer.py:197:stop] 0/981, RunningAvgSamplesPerSec=10.889187096451282, CurrSamplesPerSec=10.511986585281324, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 981/20000 [2:46:35<53:21:31, 10.10s/it][2022-12-20 18:13:29,259] [INFO] [timer.py:197:stop] 0/982, RunningAvgSamplesPerSec=10.889126925241275, CurrSamplesPerSec=10.830536594309088, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 982/20000 [2:46:44<51:27:55, 9.74s/it][2022-12-20 18:13:38,882] [INFO] [timer.py:197:stop] 0/983, RunningAvgSamplesPerSec=10.889389262249573, CurrSamplesPerSec=11.15270250086262, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 983/20000 [2:46:54<51:16:24, 9.71s/it][2022-12-20 18:13:47,846] [INFO] [timer.py:197:stop] 0/984, RunningAvgSamplesPerSec=10.889213668741935, CurrSamplesPerSec=10.719641643869139, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 984/20000 [2:47:03<50:05:39, 9.48s/it][2022-12-20 18:13:56,888] [INFO] [timer.py:197:stop] 0/985, RunningAvgSamplesPerSec=10.889035407269013, CurrSamplesPerSec=10.716755050252507, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 985/20000 [2:47:12<49:23:33, 9.35s/it][2022-12-20 18:14:08,066] [INFO] [timer.py:197:stop] 0/986, RunningAvgSamplesPerSec=10.889175303323977, CurrSamplesPerSec=11.028453843265943, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 986/20000 [2:47:23<52:17:06, 9.90s/it][2022-12-20 18:14:18,958] [INFO] [timer.py:197:stop] 0/987, RunningAvgSamplesPerSec=10.888834123663107, CurrSamplesPerSec=10.563164476063642, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 987/20000 [2:47:34<53:51:16, 10.20s/it][2022-12-20 18:14:32,666] [INFO] [timer.py:197:stop] 0/988, RunningAvgSamplesPerSec=10.888657532018152, CurrSamplesPerSec=10.717452483419589, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 988/20000 [2:47:48<59:24:50, 11.25s/it][2022-12-20 18:14:42,892] [INFO] [timer.py:197:stop] 0/989, RunningAvgSamplesPerSec=10.888481208604558, CurrSamplesPerSec=10.717361341291454, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 989/20000 [2:47:58<57:47:20, 10.94s/it][2022-12-20 18:14:51,831] [INFO] [logging.py:68:log_dist] [Rank 0] step=990, skipped=2, lr=[9.750256410256412e-06], mom=[[0.9, 0.999]] [2022-12-20 18:14:51,832] [INFO] [timer.py:197:stop] 0/990, RunningAvgSamplesPerSec=10.888676762662055, CurrSamplesPerSec=11.08517526386583, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 990/20000 [2:48:07<54:36:43, 10.34s/it][2022-12-20 18:15:01,320] [INFO] [timer.py:197:stop] 0/991, RunningAvgSamplesPerSec=10.888858679112698, CurrSamplesPerSec=11.071611740330592, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 991/20000 [2:48:16<53:15:20, 10.09s/it][2022-12-20 18:15:10,658] [INFO] [timer.py:197:stop] 0/992, RunningAvgSamplesPerSec=10.888647551023041, CurrSamplesPerSec=10.683774580480424, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 992/20000 [2:48:26<52:04:05, 9.86s/it][2022-12-20 18:15:19,497] [INFO] [timer.py:197:stop] 0/993, RunningAvgSamplesPerSec=10.888664405831983, CurrSamplesPerSec=10.905376302586658, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 993/20000 [2:48:34<50:26:47, 9.55s/it][2022-12-20 18:15:28,778] [INFO] [timer.py:197:stop] 0/994, RunningAvgSamplesPerSec=10.88870411858422, CurrSamplesPerSec=10.928202359666972, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 994/20000 [2:48:44<50:00:38, 9.47s/it][2022-12-20 18:15:37,870] [INFO] [timer.py:197:stop] 0/995, RunningAvgSamplesPerSec=10.88875232119595, CurrSamplesPerSec=10.93678043585299, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 995/20000 [2:48:53<49:24:20, 9.36s/it][2022-12-20 18:15:47,025] [INFO] [timer.py:197:stop] 0/996, RunningAvgSamplesPerSec=10.88857247460616, CurrSamplesPerSec=10.712869485317006, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 996/20000 [2:49:02<49:04:46, 9.30s/it][2022-12-20 18:15:58,078] [INFO] [timer.py:197:stop] 0/997, RunningAvgSamplesPerSec=10.888226763954357, CurrSamplesPerSec=10.555114108951273, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 997/20000 [2:49:13<51:51:29, 9.82s/it][2022-12-20 18:16:08,483] [INFO] [timer.py:197:stop] 0/998, RunningAvgSamplesPerSec=10.888007676797644, CurrSamplesPerSec=10.67429897529926, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 998/20000 [2:49:23<52:46:26, 10.00s/it][2022-12-20 18:16:17,993] [INFO] [timer.py:197:stop] 0/999, RunningAvgSamplesPerSec=10.888211282781514, CurrSamplesPerSec=11.094855427999022, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▍ | 999/20000 [2:49:33<51:59:53, 9.85s/it][2022-12-20 18:16:27,675] [INFO] [logging.py:68:log_dist] [Rank 0] step=1000, skipped=2, lr=[9.745128205128206e-06], mom=[[0.9, 0.999]] [2022-12-20 18:16:27,676] [INFO] [timer.py:197:stop] 0/1000, RunningAvgSamplesPerSec=10.888589228390137, CurrSamplesPerSec=11.278922465675365, MemAllocated=1.52GB, MaxMemAllocated=26.06GB 5%|▌ | 1000/20000 [2:49:43<51:43:40, 9.80s/it] {'loss': 0.2181, 'learning_rate': 9.745128205128206e-06, 'epoch': 0.05} 5%|▌ | 1000/20000 [2:49:43<51:43:40, 9.80s/it][INFO|trainer.py:2955] 2022-12-20 18:16:27,680 >> ***** Running Evaluation ***** [INFO|trainer.py:2959] 2022-12-20 18:16:27,680 >> Num examples: Unknown [INFO|trainer.py:2960] 2022-12-20 18:16:27,680 >> Batch size = 32 [INFO|trainer_utils.py:689] 2022-12-20 18:16:31,371 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: speaker_id, gender, input_length, duration, age. If speaker_id, gender, input_length, duration, age are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. [INFO|configuration_utils.py:523] 2022-12-20 18:16:31,382 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:16:36,568 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:16:42,950 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:16:48,488 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:16:54,576 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:16:59,525 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:05,721 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:10,911 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:17,367 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:22,536 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:27,321 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:34,064 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:39,249 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:47,186 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:53,641 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:17:59,851 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:06,461 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:12,587 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:19,388 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:26,529 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:31,949 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:37,950 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:44,461 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:51,124 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:18:55,934 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:00,954 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:08,771 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:14,185 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:21,590 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:28,173 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:34,447 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } [INFO|configuration_utils.py:523] 2022-12-20 18:19:38,374 >> Generate config GenerationConfig { "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "decoder_start_token_id": 50258, "eos_token_id": 50257, "max_length": 448, "pad_token_id": 50257, "transformers_version": "4.26.0.dev0", "use_cache": false } {'eval_loss': 0.2607421875, 'eval_wer': 18.384016084443328, 'eval_runtime': 228.2189, 'eval_samples_per_second': 4.382, 'eval_steps_per_second': 0.14, 'epoch': 0.05} 5%|▌ | 1000/20000 [2:53:31<51:43:40, 9.80s/it][INFO|trainer.py:2700] 2022-12-20 18:20:15,901 >> Saving model checkpoint to ./checkpoint-1000 [INFO|configuration_utils.py:447] 2022-12-20 18:20:15,902 >> Configuration saved in ./checkpoint-1000/config.json [INFO|modeling_utils.py:1693] 2022-12-20 18:20:17,709 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-20 18:20:17,723 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json [2022-12-20 18:20:17,724] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! /home/ubuntu/whisper-medium-is/.venv/lib/python3.9/site-packages/torch/nn/modules/module.py:1432: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details. warnings.warn( [2022-12-20 18:20:17,732] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: ./checkpoint-1000/global_step1000/mp_rank_00_model_states.pt [2022-12-20 18:20:17,732] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving ./checkpoint-1000/global_step1000/mp_rank_00_model_states.pt... [2022-12-20 18:20:19,618] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved ./checkpoint-1000/global_step1000/mp_rank_00_model_states.pt. [2022-12-20 18:20:19,619] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving ./checkpoint-1000/global_step1000/zero_pp_rank_0_mp_rank_00_optim_states.pt... [2022-12-20 18:20:26,770] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved ./checkpoint-1000/global_step1000/zero_pp_rank_0_mp_rank_00_optim_states.pt. [2022-12-20 18:20:26,770] [INFO] [engine.py:3269:_save_zero_checkpoint] zero checkpoint saved ./checkpoint-1000/global_step1000/zero_pp_rank_0_mp_rank_00_optim_states.pt [2022-12-20 18:20:26,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! [INFO|feature_extraction_utils.py:368] 2022-12-20 18:20:27,712 >> Feature extractor saved in ./preprocessor_config.json [2022-12-20 21:23:53,742] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 110163 Traceback (most recent call last): [2022-12-20 21:23:53,843] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 110163 File "/home/ubuntu/whisper-medium-is/.venv/bin/deepspeed", line 6, in main() File "/home/ubuntu/whisper-medium-is/.venv/lib/python3.9/site-packages/deepspeed/launcher/runner.py", line 523, in main result.wait() File "/home/ubuntu/miniconda/lib/python3.9/subprocess.py", line 1189, in wait return self._wait(timeout=timeout) File "/home/ubuntu/miniconda/lib/python3.9/subprocess.py", line 1917, in _wait (pid, sts) = self._try_wait(0) File "/home/ubuntu/miniconda/lib/python3.9/subprocess.py", line 1875, in _try_wait (pid, sts) = os.waitpid(self.pid, wait_flags) File "/home/ubuntu/whisper-medium-is/.venv/lib/python3.9/site-packages/deepspeed/launcher/runner.py", line 515, in sigkill_handler result_kill = subprocess.Popen(kill_cmd, env=env) NameError: free variable 'kill_cmd' referenced before assignment in enclosing scope [2022-12-20 21:23:55,675] [INFO] [launch.py:327:sigkill_handler] Main process received SIGTERM, exiting