add pruned rnnt5 offline pretrained models

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+2022-07-26 14:02:51,547 INFO [decode.py:523] Decoding started
+2022-07-26 14:02:51,548 INFO [decode.py:529] Device: cuda:0
+2022-07-26 14:02:52,790 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-26 14:02:52,879 INFO [decode.py:540] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-for-wenetspeech', 'icefall-git-sha1': '4bf8392-dirty', 'icefall-git-date': 'Mon Jul 25 16:11:59 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 4, 'iter': 0, 'avg': 1, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': False, 'causal_convolution': False, 'short_chunk_size': 25, 'num_left_chunks': 4, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline/fast_beam_search'), 'suffix': 'epoch-4-avg-1-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 5537}
+2022-07-26 14:02:52,879 INFO [decode.py:542] About to create model
+2022-07-26 14:02:53,457 INFO [decode.py:609] Calculating the averaged model over epoch range from 3 (excluded) to 4
+2022-07-26 14:03:01,749 INFO [decode.py:632] Number of model parameters: 97487351
+2022-07-26 14:03:01,753 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-26 14:03:06,030 INFO [asr_datamodule.py:368] About to create dev dataloader
+2022-07-26 14:03:21,926 INFO [decode.py:443] batch 0/?, cuts processed until now is 197
+2022-07-26 14:03:27,326 INFO [decode.py:443] batch 2/?, cuts processed until now is 591
+2022-07-26 14:03:32,644 INFO [decode.py:443] batch 4/?, cuts processed until now is 1281
+2022-07-26 14:03:37,744 INFO [decode.py:443] batch 6/?, cuts processed until now is 2011
+2022-07-26 14:03:43,154 INFO [decode.py:443] batch 8/?, cuts processed until now is 2398
+2022-07-26 14:03:48,680 INFO [decode.py:443] batch 10/?, cuts processed until now is 2717
+2022-07-26 14:03:54,077 INFO [decode.py:443] batch 12/?, cuts processed until now is 3068
+2022-07-26 14:03:59,432 INFO [decode.py:443] batch 14/?, cuts processed until now is 3487
+2022-07-26 14:04:04,785 INFO [decode.py:443] batch 16/?, cuts processed until now is 3874
+2022-07-26 14:04:10,154 INFO [decode.py:443] batch 18/?, cuts processed until now is 4339
+2022-07-26 14:04:15,263 INFO [decode.py:443] batch 20/?, cuts processed until now is 4869
+2022-07-26 14:04:20,391 INFO [decode.py:443] batch 22/?, cuts processed until now is 5467
+2022-07-26 14:04:25,664 INFO [decode.py:443] batch 24/?, cuts processed until now is 6065
+2022-07-26 14:04:30,947 INFO [decode.py:443] batch 26/?, cuts processed until now is 6663
+2022-07-26 14:04:35,985 INFO [decode.py:443] batch 28/?, cuts processed until now is 7316
+2022-07-26 14:04:41,032 INFO [decode.py:443] batch 30/?, cuts processed until now is 7901
+2022-07-26 14:04:46,051 INFO [decode.py:443] batch 32/?, cuts processed until now is 8709
+2022-07-26 14:04:51,342 INFO [decode.py:443] batch 34/?, cuts processed until now is 9371
+2022-07-26 14:04:56,752 INFO [decode.py:443] batch 36/?, cuts processed until now is 9722
+2022-07-26 14:05:01,807 INFO [decode.py:443] batch 38/?, cuts processed until now is 10174
+2022-07-26 14:05:06,124 INFO [decode.py:443] batch 40/?, cuts processed until now is 10589
+2022-07-26 14:05:09,892 INFO [decode.py:443] batch 42/?, cuts processed until now is 11046
+2022-07-26 14:05:13,173 INFO [decode.py:443] batch 44/?, cuts processed until now is 11462
+2022-07-26 14:05:16,538 INFO [decode.py:443] batch 46/?, cuts processed until now is 11710
+2022-07-26 14:05:20,369 INFO [decode.py:443] batch 48/?, cuts processed until now is 11898
+2022-07-26 14:05:23,710 INFO [decode.py:443] batch 50/?, cuts processed until now is 12102
+2022-07-26 14:05:27,085 INFO [decode.py:443] batch 52/?, cuts processed until now is 12306
+2022-07-26 14:05:30,904 INFO [decode.py:443] batch 54/?, cuts processed until now is 12541
+2022-07-26 14:05:34,816 INFO [decode.py:443] batch 56/?, cuts processed until now is 13115
+2022-07-26 14:05:38,282 INFO [decode.py:443] batch 58/?, cuts processed until now is 13612
+2022-07-26 14:05:40,342 INFO [decode.py:443] batch 60/?, cuts processed until now is 13825
+2022-07-26 14:05:40,786 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/fast_beam_search/recogs-DEV-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt
+2022-07-26 14:05:41,258 INFO [utils.py:410] [DEV-beam_4_max_contexts_4_max_states_8] %WER 8.29% [27394 / 330498, 2852 ins, 10852 del, 13690 sub ]
+2022-07-26 14:05:42,587 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/fast_beam_search/errs-DEV-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt
+2022-07-26 14:05:42,588 INFO [decode.py:490] 
+For DEV, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	8.29	best for DEV
+
+2022-07-26 14:05:51,041 INFO [decode.py:443] batch 0/?, cuts processed until now is 218
+2022-07-26 14:05:56,346 INFO [decode.py:443] batch 2/?, cuts processed until now is 635
+2022-07-26 14:06:01,980 INFO [decode.py:443] batch 4/?, cuts processed until now is 1814
+2022-07-26 14:06:07,485 INFO [decode.py:443] batch 6/?, cuts processed until now is 3064
+2022-07-26 14:06:12,718 INFO [decode.py:443] batch 8/?, cuts processed until now is 3520
+2022-07-26 14:06:19,112 INFO [decode.py:443] batch 10/?, cuts processed until now is 3789
+2022-07-26 14:06:24,449 INFO [decode.py:443] batch 12/?, cuts processed until now is 4173
+2022-07-26 14:06:29,638 INFO [decode.py:443] batch 14/?, cuts processed until now is 4661
+2022-07-26 14:06:36,002 INFO [decode.py:443] batch 16/?, cuts processed until now is 5016
+2022-07-26 14:06:41,194 INFO [decode.py:443] batch 18/?, cuts processed until now is 5459
+2022-07-26 14:06:46,219 INFO [decode.py:443] batch 20/?, cuts processed until now is 6077
+2022-07-26 14:06:52,526 INFO [decode.py:443] batch 22/?, cuts processed until now is 6640
+2022-07-26 14:06:57,527 INFO [decode.py:443] batch 24/?, cuts processed until now is 7302
+2022-07-26 14:07:03,130 INFO [decode.py:443] batch 26/?, cuts processed until now is 8133
+2022-07-26 14:07:09,686 INFO [decode.py:443] batch 28/?, cuts processed until now is 8686
+2022-07-26 14:07:15,245 INFO [decode.py:443] batch 30/?, cuts processed until now is 9936
+2022-07-26 14:07:20,301 INFO [decode.py:443] batch 32/?, cuts processed until now is 10675
+2022-07-26 14:07:25,631 INFO [decode.py:443] batch 34/?, cuts processed until now is 11836
+2022-07-26 14:07:30,886 INFO [decode.py:443] batch 36/?, cuts processed until now is 12245
+2022-07-26 14:07:37,137 INFO [decode.py:443] batch 38/?, cuts processed until now is 12541
+2022-07-26 14:07:43,724 INFO [decode.py:443] batch 40/?, cuts processed until now is 13275
+2022-07-26 14:07:49,147 INFO [decode.py:443] batch 42/?, cuts processed until now is 13969
+2022-07-26 14:07:55,213 INFO [decode.py:443] batch 44/?, cuts processed until now is 15596
+2022-07-26 14:08:00,674 INFO [decode.py:443] batch 46/?, cuts processed until now is 16757
+2022-07-26 14:08:06,166 INFO [decode.py:443] batch 48/?, cuts processed until now is 18091
+2022-07-26 14:08:11,665 INFO [decode.py:443] batch 50/?, cuts processed until now is 19425
+2022-07-26 14:08:16,808 INFO [decode.py:443] batch 52/?, cuts processed until now is 19962
+2022-07-26 14:08:20,733 INFO [decode.py:443] batch 54/?, cuts processed until now is 20601
+2022-07-26 14:08:25,786 INFO [decode.py:443] batch 56/?, cuts processed until now is 20963
+2022-07-26 14:08:29,464 INFO [decode.py:443] batch 58/?, cuts processed until now is 21633
+2022-07-26 14:08:33,238 INFO [decode.py:443] batch 60/?, cuts processed until now is 22016
+2022-07-26 14:08:36,729 INFO [decode.py:443] batch 62/?, cuts processed until now is 22223
+2022-07-26 14:08:38,783 INFO [decode.py:443] batch 64/?, cuts processed until now is 22442
+2022-07-26 14:08:44,202 INFO [decode.py:443] batch 66/?, cuts processed until now is 22604
+2022-07-26 14:08:50,474 INFO [decode.py:443] batch 68/?, cuts processed until now is 22702
+2022-07-26 14:08:53,576 INFO [decode.py:443] batch 70/?, cuts processed until now is 23022
+2022-07-26 14:08:58,560 INFO [decode.py:443] batch 72/?, cuts processed until now is 23139
+2022-07-26 14:09:01,791 INFO [decode.py:443] batch 74/?, cuts processed until now is 23946
+2022-07-26 14:09:03,513 INFO [decode.py:443] batch 76/?, cuts processed until now is 24133
+2022-07-26 14:09:06,205 INFO [decode.py:443] batch 78/?, cuts processed until now is 24774
+2022-07-26 14:09:06,703 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/fast_beam_search/recogs-TEST_NET-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt
+2022-07-26 14:09:07,402 INFO [utils.py:410] [TEST_NET-beam_4_max_contexts_4_max_states_8] %WER 9.00% [37399 / 415747, 4138 ins, 8380 del, 24881 sub ]
+2022-07-26 14:09:08,955 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/fast_beam_search/errs-TEST_NET-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt
+2022-07-26 14:09:08,956 INFO [decode.py:490] 
+For TEST_NET, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	9.0	best for TEST_NET
+
+2022-07-26 14:09:15,513 INFO [decode.py:443] batch 0/?, cuts processed until now is 140
+2022-07-26 14:09:22,081 INFO [decode.py:443] batch 2/?, cuts processed until now is 404
+2022-07-26 14:09:27,913 INFO [decode.py:443] batch 4/?, cuts processed until now is 954
+2022-07-26 14:09:33,571 INFO [decode.py:443] batch 6/?, cuts processed until now is 1546
+2022-07-26 14:09:39,528 INFO [decode.py:443] batch 8/?, cuts processed until now is 1890
+2022-07-26 14:09:46,009 INFO [decode.py:443] batch 10/?, cuts processed until now is 2193
+2022-07-26 14:09:52,294 INFO [decode.py:443] batch 12/?, cuts processed until now is 2515
+2022-07-26 14:09:58,064 INFO [decode.py:443] batch 14/?, cuts processed until now is 2927
+2022-07-26 14:10:04,315 INFO [decode.py:443] batch 16/?, cuts processed until now is 3249
+2022-07-26 14:10:10,026 INFO [decode.py:443] batch 18/?, cuts processed until now is 3660
+2022-07-26 14:10:18,015 INFO [decode.py:443] batch 20/?, cuts processed until now is 3805
+2022-07-26 14:10:23,584 INFO [decode.py:443] batch 22/?, cuts processed until now is 4523
+2022-07-26 14:10:29,533 INFO [decode.py:443] batch 24/?, cuts processed until now is 4940
+2022-07-26 14:10:34,658 INFO [decode.py:443] batch 26/?, cuts processed until now is 5525
+2022-07-26 14:10:40,192 INFO [decode.py:443] batch 28/?, cuts processed until now is 5899
+2022-07-26 14:10:45,625 INFO [decode.py:443] batch 30/?, cuts processed until now is 6331
+2022-07-26 14:10:49,097 INFO [decode.py:443] batch 32/?, cuts processed until now is 6658
+2022-07-26 14:10:52,814 INFO [decode.py:443] batch 34/?, cuts processed until now is 6705
+2022-07-26 14:10:56,367 INFO [decode.py:443] batch 36/?, cuts processed until now is 6911
+2022-07-26 14:11:00,138 INFO [decode.py:443] batch 38/?, cuts processed until now is 7333
+2022-07-26 14:11:03,260 INFO [decode.py:443] batch 40/?, cuts processed until now is 7558
+2022-07-26 14:11:07,566 INFO [decode.py:443] batch 42/?, cuts processed until now is 7890
+2022-07-26 14:11:10,640 INFO [decode.py:443] batch 44/?, cuts processed until now is 8002
+2022-07-26 14:11:14,286 INFO [decode.py:443] batch 46/?, cuts processed until now is 8128
+2022-07-26 14:11:18,849 INFO [decode.py:443] batch 48/?, cuts processed until now is 8221
+2022-07-26 14:11:22,694 INFO [decode.py:443] batch 50/?, cuts processed until now is 8363
+2022-07-26 14:11:24,318 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/fast_beam_search/recogs-TEST_MEETING-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt
+2022-07-26 14:11:24,621 INFO [utils.py:410] [TEST_MEETING-beam_4_max_contexts_4_max_states_8] %WER 14.93% [32908 / 220385, 2417 ins, 17261 del, 13230 sub ]
+2022-07-26 14:11:25,431 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/fast_beam_search/errs-TEST_MEETING-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt
+2022-07-26 14:11:25,432 INFO [decode.py:490] 
+For TEST_MEETING, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	14.93	best for TEST_MEETING
+
+2022-07-26 14:11:25,432 INFO [decode.py:731] Done!

log/fast_beam_search/wer-summary-DEV-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4_max_contexts_4_max_states_8	8.29

log/fast_beam_search/wer-summary-TEST_MEETING-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4_max_contexts_4_max_states_8	14.93

log/fast_beam_search/wer-summary-TEST_NET-beam_4_max_contexts_4_max_states_8-epoch-4-avg-1-beam-4-max-contexts-4-max-states-8.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_4_max_contexts_4_max_states_8	9.0

log/greedy_search/log-decode-epoch-4-avg-1-context-2-max-sym-per-frame-1-2022-07-22-18-01-40

@@ -0,0 +1,37 @@
+2022-07-22 18:01:40,312 INFO [decode.py:523] Decoding started
+2022-07-22 18:01:40,313 INFO [decode.py:529] Device: cuda:0
+2022-07-22 18:01:41,538 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-22 18:01:41,629 INFO [decode.py:540] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'env_info': {'k2-version': '1.17', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '6f8de3096401edbaeae0714b04ab9adc2277b706', 'k2-git-date': 'Mon Jul 4 17:50:26 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-for-wenetspeech', 'icefall-git-sha1': 'bd043b0-dirty', 'icefall-git-date': 'Fri Jul 22 10:26:19 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_sherpa/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 4, 'iter': 0, 'avg': 1, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline'), 'lang_dir': 'data/lang_char', 'decoding_method': 'greedy_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': False, 'causal_convolution': False, 'short_chunk_size': 25, 'num_left_chunks': 4, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline/greedy_search'), 'suffix': 'epoch-4-avg-1-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 5537}
+2022-07-22 18:01:41,629 INFO [decode.py:542] About to create model
+2022-07-22 18:01:42,189 INFO [decode.py:609] Calculating the averaged model over epoch range from 3 (excluded) to 4
+2022-07-22 18:01:56,454 INFO [decode.py:632] Number of model parameters: 97487351
+2022-07-22 18:01:56,460 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-22 18:02:00,756 INFO [asr_datamodule.py:368] About to create dev dataloader
+2022-07-22 18:02:14,887 INFO [decode.py:443] batch 0/?, cuts processed until now is 79
+2022-07-22 18:03:28,625 INFO [decode.py:443] batch 100/?, cuts processed until now is 9966
+2022-07-22 18:03:52,701 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/greedy_search/recogs-DEV-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt
+2022-07-22 18:03:53,155 INFO [utils.py:410] [DEV-greedy_search] %WER 8.22% [27157 / 330498, 2884 ins, 10257 del, 14016 sub ]
+2022-07-22 18:03:54,331 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/greedy_search/errs-DEV-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt
+2022-07-22 18:03:54,332 INFO [decode.py:490] 
+For DEV, WER of different settings are:
+greedy_search	8.22	best for DEV
+
+2022-07-22 18:04:01,104 INFO [decode.py:443] batch 0/?, cuts processed until now is 87
+2022-07-22 18:05:17,466 INFO [decode.py:443] batch 100/?, cuts processed until now is 14012
+2022-07-22 18:06:11,277 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/greedy_search/recogs-TEST_NET-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt
+2022-07-22 18:06:11,882 INFO [utils.py:410] [TEST_NET-greedy_search] %WER 9.03% [37557 / 415747, 4139 ins, 8162 del, 25256 sub ]
+2022-07-22 18:06:13,422 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/greedy_search/errs-TEST_NET-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt
+2022-07-22 18:06:13,423 INFO [decode.py:490] 
+For TEST_NET, WER of different settings are:
+greedy_search	9.03	best for TEST_NET
+
+2022-07-22 18:06:17,684 INFO [decode.py:443] batch 0/?, cuts processed until now is 56
+2022-07-22 18:07:34,603 INFO [decode.py:443] batch 100/?, cuts processed until now is 7928
+2022-07-22 18:07:42,086 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/greedy_search/recogs-TEST_MEETING-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt
+2022-07-22 18:07:42,392 INFO [utils.py:410] [TEST_MEETING-greedy_search] %WER 14.54% [32052 / 220385, 2489 ins, 16073 del, 13490 sub ]
+2022-07-22 18:07:43,199 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/greedy_search/errs-TEST_MEETING-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt
+2022-07-22 18:07:43,200 INFO [decode.py:490] 
+For TEST_MEETING, WER of different settings are:
+greedy_search	14.54	best for TEST_MEETING
+
+2022-07-22 18:07:43,200 INFO [decode.py:731] Done!

log/greedy_search/wer-summary-DEV-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	8.22

log/greedy_search/wer-summary-TEST_MEETING-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	14.54

log/greedy_search/wer-summary-TEST_NET-greedy_search-epoch-4-avg-1-context-2-max-sym-per-frame-1.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	9.03

log/modified_beam_search/log-decode-epoch-4-avg-1-beam-4-2022-07-26-12-43-30

@@ -0,0 +1,248 @@
+2022-07-26 12:43:30,147 INFO [decode.py:523] Decoding started
+2022-07-26 12:43:30,147 INFO [decode.py:529] Device: cuda:0
+2022-07-26 12:43:31,426 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-26 12:43:31,518 INFO [decode.py:540] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-for-wenetspeech', 'icefall-git-sha1': '4bf8392-dirty', 'icefall-git-date': 'Mon Jul 25 16:11:59 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 4, 'iter': 0, 'avg': 1, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline'), 'lang_dir': 'data/lang_char', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': False, 'causal_convolution': False, 'short_chunk_size': 25, 'num_left_chunks': 4, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline/modified_beam_search'), 'suffix': 'epoch-4-avg-1-beam-4', 'blank_id': 0, 'vocab_size': 5537}
+2022-07-26 12:43:31,518 INFO [decode.py:542] About to create model
+2022-07-26 12:43:32,095 INFO [decode.py:609] Calculating the averaged model over epoch range from 3 (excluded) to 4
+2022-07-26 12:43:41,770 INFO [decode.py:632] Number of model parameters: 97487351
+2022-07-26 12:43:41,775 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-26 12:43:46,063 INFO [asr_datamodule.py:368] About to create dev dataloader
+2022-07-26 12:44:08,633 INFO [decode.py:443] batch 0/?, cuts processed until now is 79
+2022-07-26 12:44:21,475 INFO [decode.py:443] batch 2/?, cuts processed until now is 236
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+2022-07-26 12:55:00,389 INFO [decode.py:443] batch 100/?, cuts processed until now is 9966
+2022-07-26 12:55:13,270 INFO [decode.py:443] batch 102/?, cuts processed until now is 10246
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+2022-07-26 12:56:03,963 INFO [decode.py:443] batch 110/?, cuts processed until now is 11387
+2022-07-26 12:56:16,389 INFO [decode.py:443] batch 112/?, cuts processed until now is 11710
+2022-07-26 12:56:28,584 INFO [decode.py:443] batch 114/?, cuts processed until now is 12105
+2022-07-26 12:56:41,398 INFO [decode.py:443] batch 116/?, cuts processed until now is 12299
+2022-07-26 12:56:54,169 INFO [decode.py:443] batch 118/?, cuts processed until now is 12493
+2022-07-26 12:57:06,910 INFO [decode.py:443] batch 120/?, cuts processed until now is 12709
+2022-07-26 12:57:12,713 INFO [decode.py:443] batch 122/?, cuts processed until now is 12810
+2022-07-26 12:57:15,497 INFO [decode.py:443] batch 124/?, cuts processed until now is 12832
+2022-07-26 12:57:22,401 INFO [decode.py:443] batch 126/?, cuts processed until now is 12896
+2022-07-26 12:57:31,829 INFO [decode.py:443] batch 128/?, cuts processed until now is 13199
+2022-07-26 12:57:39,471 INFO [decode.py:443] batch 130/?, cuts processed until now is 13322
+2022-07-26 12:57:44,054 INFO [decode.py:443] batch 132/?, cuts processed until now is 13367
+2022-07-26 12:57:48,968 INFO [decode.py:443] batch 134/?, cuts processed until now is 13433
+2022-07-26 12:57:56,664 INFO [decode.py:443] batch 136/?, cuts processed until now is 13522
+2022-07-26 12:58:05,438 INFO [decode.py:443] batch 138/?, cuts processed until now is 13721
+2022-07-26 12:58:10,409 INFO [decode.py:443] batch 140/?, cuts processed until now is 13811
+2022-07-26 12:58:11,725 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/modified_beam_search/recogs-DEV-beam_size_4-epoch-4-avg-1-beam-4.txt
+2022-07-26 12:58:12,206 INFO [utils.py:410] [DEV-beam_size_4] %WER 8.17% [27007 / 330498, 3198 ins, 9952 del, 13857 sub ]
+2022-07-26 12:58:13,455 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/modified_beam_search/errs-DEV-beam_size_4-epoch-4-avg-1-beam-4.txt
+2022-07-26 12:58:13,456 INFO [decode.py:490] 
+For DEV, WER of different settings are:
+beam_size_4	8.17	best for DEV
+
+2022-07-26 12:58:28,119 INFO [decode.py:443] batch 0/?, cuts processed until now is 87
+2022-07-26 12:58:41,246 INFO [decode.py:443] batch 2/?, cuts processed until now is 261
+2022-07-26 12:58:54,371 INFO [decode.py:443] batch 4/?, cuts processed until now is 732
+2022-07-26 12:59:07,296 INFO [decode.py:443] batch 6/?, cuts processed until now is 1232
+2022-07-26 12:59:19,622 INFO [decode.py:443] batch 8/?, cuts processed until now is 1416
+2022-07-26 12:59:32,091 INFO [decode.py:443] batch 10/?, cuts processed until now is 1562
+2022-07-26 12:59:44,936 INFO [decode.py:443] batch 12/?, cuts processed until now is 1728
+2022-07-26 12:59:57,502 INFO [decode.py:443] batch 14/?, cuts processed until now is 1931
+2022-07-26 13:00:10,001 INFO [decode.py:443] batch 16/?, cuts processed until now is 2125
+2022-07-26 13:00:22,615 INFO [decode.py:443] batch 18/?, cuts processed until now is 2301
+2022-07-26 13:00:33,391 INFO [decode.py:443] batch 20/?, cuts processed until now is 2424
+2022-07-26 13:00:44,425 INFO [decode.py:443] batch 22/?, cuts processed until now is 2602
+2022-07-26 13:00:56,910 INFO [decode.py:443] batch 24/?, cuts processed until now is 2817
+2022-07-26 13:01:11,690 INFO [decode.py:443] batch 26/?, cuts processed until now is 3081
+2022-07-26 13:01:24,299 INFO [decode.py:443] batch 28/?, cuts processed until now is 3394
+2022-07-26 13:01:37,000 INFO [decode.py:443] batch 30/?, cuts processed until now is 3707
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+2022-07-26 13:02:12,998 INFO [decode.py:443] batch 36/?, cuts processed until now is 4610
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+2022-07-26 13:03:00,060 INFO [decode.py:443] batch 44/?, cuts processed until now is 5422
+2022-07-26 13:03:13,131 INFO [decode.py:443] batch 46/?, cuts processed until now is 5803
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+2022-07-26 13:03:40,202 INFO [decode.py:443] batch 50/?, cuts processed until now is 6698
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+2022-07-26 13:04:05,651 INFO [decode.py:443] batch 54/?, cuts processed until now is 7021
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+2022-07-26 13:05:08,048 INFO [decode.py:443] batch 64/?, cuts processed until now is 8204
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+2022-07-26 13:06:09,458 INFO [decode.py:443] batch 74/?, cuts processed until now is 9046
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+2022-07-26 13:06:34,225 INFO [decode.py:443] batch 78/?, cuts processed until now is 9726
+2022-07-26 13:06:47,086 INFO [decode.py:443] batch 80/?, cuts processed until now is 10178
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+2022-07-26 13:12:50,404 INFO [decode.py:443] batch 136/?, cuts processed until now is 19842
+2022-07-26 13:13:03,735 INFO [decode.py:443] batch 138/?, cuts processed until now is 20427
+2022-07-26 13:13:15,677 INFO [decode.py:443] batch 140/?, cuts processed until now is 20840
+2022-07-26 13:13:26,022 INFO [decode.py:443] batch 142/?, cuts processed until now is 20909
+2022-07-26 13:13:39,002 INFO [decode.py:443] batch 144/?, cuts processed until now is 21305
+2022-07-26 13:13:52,033 INFO [decode.py:443] batch 146/?, cuts processed until now is 21701
+2022-07-26 13:14:05,418 INFO [decode.py:443] batch 148/?, cuts processed until now is 22283
+2022-07-26 13:14:16,564 INFO [decode.py:443] batch 150/?, cuts processed until now is 22507
+2022-07-26 13:14:25,983 INFO [decode.py:443] batch 152/?, cuts processed until now is 22943
+2022-07-26 13:14:33,242 INFO [decode.py:443] batch 154/?, cuts processed until now is 23043
+2022-07-26 13:14:40,090 INFO [decode.py:443] batch 156/?, cuts processed until now is 23199
+2022-07-26 13:14:48,448 INFO [decode.py:443] batch 158/?, cuts processed until now is 23444
+2022-07-26 13:14:56,034 INFO [decode.py:443] batch 160/?, cuts processed until now is 23681
+2022-07-26 13:15:06,422 INFO [decode.py:443] batch 162/?, cuts processed until now is 24114
+2022-07-26 13:15:12,118 INFO [decode.py:443] batch 164/?, cuts processed until now is 24259
+2022-07-26 13:15:20,137 INFO [decode.py:443] batch 166/?, cuts processed until now is 24387
+2022-07-26 13:15:27,201 INFO [decode.py:443] batch 168/?, cuts processed until now is 24477
+2022-07-26 13:15:35,426 INFO [decode.py:443] batch 170/?, cuts processed until now is 24659
+2022-07-26 13:15:39,093 INFO [decode.py:443] batch 172/?, cuts processed until now is 24698
+2022-07-26 13:15:47,599 INFO [decode.py:443] batch 174/?, cuts processed until now is 24763
+2022-07-26 13:15:50,149 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/modified_beam_search/recogs-TEST_NET-beam_size_4-epoch-4-avg-1-beam-4.txt
+2022-07-26 13:15:50,763 INFO [utils.py:410] [TEST_NET-beam_size_4] %WER 9.04% [37582 / 415747, 4887 ins, 7674 del, 25021 sub ]
+2022-07-26 13:15:52,346 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/modified_beam_search/errs-TEST_NET-beam_size_4-epoch-4-avg-1-beam-4.txt
+2022-07-26 13:15:52,346 INFO [decode.py:490] 
+For TEST_NET, WER of different settings are:
+beam_size_4	9.04	best for TEST_NET
+
+2022-07-26 13:16:02,058 INFO [decode.py:443] batch 0/?, cuts processed until now is 56
+2022-07-26 13:16:14,647 INFO [decode.py:443] batch 2/?, cuts processed until now is 168
+2022-07-26 13:16:26,485 INFO [decode.py:443] batch 4/?, cuts processed until now is 388
+2022-07-26 13:16:38,197 INFO [decode.py:443] batch 6/?, cuts processed until now is 624
+2022-07-26 13:16:50,649 INFO [decode.py:443] batch 8/?, cuts processed until now is 740
+2022-07-26 13:17:03,153 INFO [decode.py:443] batch 10/?, cuts processed until now is 833
+2022-07-26 13:17:15,633 INFO [decode.py:443] batch 12/?, cuts processed until now is 938
+2022-07-26 13:17:28,133 INFO [decode.py:443] batch 14/?, cuts processed until now is 1067
+2022-07-26 13:17:40,730 INFO [decode.py:443] batch 16/?, cuts processed until now is 1190
+2022-07-26 13:17:53,267 INFO [decode.py:443] batch 18/?, cuts processed until now is 1303
+2022-07-26 13:18:05,120 INFO [decode.py:443] batch 20/?, cuts processed until now is 1396
+2022-07-26 13:18:17,498 INFO [decode.py:443] batch 22/?, cuts processed until now is 1517
+2022-07-26 13:18:29,969 INFO [decode.py:443] batch 24/?, cuts processed until now is 1645
+2022-07-26 13:18:42,428 INFO [decode.py:443] batch 26/?, cuts processed until now is 1788
+2022-07-26 13:18:54,849 INFO [decode.py:443] batch 28/?, cuts processed until now is 1962
+2022-07-26 13:19:07,238 INFO [decode.py:443] batch 30/?, cuts processed until now is 2135
+2022-07-26 13:19:19,483 INFO [decode.py:443] batch 32/?, cuts processed until now is 2358
+2022-07-26 13:19:31,188 INFO [decode.py:443] batch 34/?, cuts processed until now is 2509
+2022-07-26 13:19:43,573 INFO [decode.py:443] batch 36/?, cuts processed until now is 2619
+2022-07-26 13:19:55,571 INFO [decode.py:443] batch 38/?, cuts processed until now is 2724
+2022-07-26 13:20:07,947 INFO [decode.py:443] batch 40/?, cuts processed until now is 2861
+2022-07-26 13:20:20,489 INFO [decode.py:443] batch 42/?, cuts processed until now is 3025
+2022-07-26 13:20:32,849 INFO [decode.py:443] batch 44/?, cuts processed until now is 3212
+2022-07-26 13:20:45,042 INFO [decode.py:443] batch 46/?, cuts processed until now is 3459
+2022-07-26 13:20:57,643 INFO [decode.py:443] batch 48/?, cuts processed until now is 3638
+2022-07-26 13:21:09,683 INFO [decode.py:443] batch 50/?, cuts processed until now is 3726
+2022-07-26 13:21:22,084 INFO [decode.py:443] batch 52/?, cuts processed until now is 3892
+2022-07-26 13:21:34,127 INFO [decode.py:443] batch 54/?, cuts processed until now is 3972
+2022-07-26 13:21:46,576 INFO [decode.py:443] batch 56/?, cuts processed until now is 4138
+2022-07-26 13:21:59,198 INFO [decode.py:443] batch 58/?, cuts processed until now is 4236
+2022-07-26 13:22:11,777 INFO [decode.py:443] batch 60/?, cuts processed until now is 4343
+2022-07-26 13:22:24,321 INFO [decode.py:443] batch 62/?, cuts processed until now is 4435
+2022-07-26 13:22:36,784 INFO [decode.py:443] batch 64/?, cuts processed until now is 4622
+2022-07-26 13:22:47,807 INFO [decode.py:443] batch 66/?, cuts processed until now is 4683
+2022-07-26 13:23:00,307 INFO [decode.py:443] batch 68/?, cuts processed until now is 4811
+2022-07-26 13:23:12,790 INFO [decode.py:443] batch 70/?, cuts processed until now is 4924
+2022-07-26 13:23:24,972 INFO [decode.py:443] batch 72/?, cuts processed until now is 5094
+2022-07-26 13:23:36,787 INFO [decode.py:443] batch 74/?, cuts processed until now is 5358
+2022-07-26 13:23:48,640 INFO [decode.py:443] batch 76/?, cuts processed until now is 5566
+2022-07-26 13:24:00,328 INFO [decode.py:443] batch 78/?, cuts processed until now is 5815
+2022-07-26 13:24:11,321 INFO [decode.py:443] batch 80/?, cuts processed until now is 6144
+2022-07-26 13:24:22,973 INFO [decode.py:443] batch 82/?, cuts processed until now is 6364
+2022-07-26 13:24:35,241 INFO [decode.py:443] batch 84/?, cuts processed until now is 6534
+2022-07-26 13:24:47,637 INFO [decode.py:443] batch 86/?, cuts processed until now is 6719
+2022-07-26 13:24:58,495 INFO [decode.py:443] batch 88/?, cuts processed until now is 7047
+2022-07-26 13:25:10,741 INFO [decode.py:443] batch 90/?, cuts processed until now is 7232
+2022-07-26 13:25:18,301 INFO [decode.py:443] batch 92/?, cuts processed until now is 7416
+2022-07-26 13:25:25,015 INFO [decode.py:443] batch 94/?, cuts processed until now is 7504
+2022-07-26 13:25:30,535 INFO [decode.py:443] batch 96/?, cuts processed until now is 7545
+2022-07-26 13:25:40,679 INFO [decode.py:443] batch 98/?, cuts processed until now is 7695
+2022-07-26 13:25:51,888 INFO [decode.py:443] batch 100/?, cuts processed until now is 7928
+2022-07-26 13:25:55,663 INFO [decode.py:443] batch 102/?, cuts processed until now is 7977
+2022-07-26 13:25:58,917 INFO [decode.py:443] batch 104/?, cuts processed until now is 8001
+2022-07-26 13:26:05,932 INFO [decode.py:443] batch 106/?, cuts processed until now is 8111
+2022-07-26 13:26:09,747 INFO [decode.py:443] batch 108/?, cuts processed until now is 8155
+2022-07-26 13:26:20,419 INFO [decode.py:443] batch 110/?, cuts processed until now is 8245
+2022-07-26 13:26:25,931 INFO [decode.py:443] batch 112/?, cuts processed until now is 8287
+2022-07-26 13:26:30,208 INFO [decode.py:443] batch 114/?, cuts processed until now is 8370
+2022-07-26 13:26:30,574 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/modified_beam_search/recogs-TEST_MEETING-beam_size_4-epoch-4-avg-1-beam-4.txt
+2022-07-26 13:26:30,879 INFO [utils.py:410] [TEST_MEETING-beam_size_4] %WER 14.44% [31827 / 220385, 2931 ins, 15491 del, 13405 sub ]
+2022-07-26 13:26:31,693 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/modified_beam_search/errs-TEST_MEETING-beam_size_4-epoch-4-avg-1-beam-4.txt
+2022-07-26 13:26:31,693 INFO [decode.py:490] 
+For TEST_MEETING, WER of different settings are:
+beam_size_4	14.44	best for TEST_MEETING
+
+2022-07-26 13:26:31,694 INFO [decode.py:731] Done!

log/modified_beam_search/wer-summary-DEV-beam_size_4-epoch-4-avg-1-beam-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	8.17

log/modified_beam_search/wer-summary-TEST_MEETING-beam_size_4-epoch-4-avg-1-beam-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	14.44

log/modified_beam_search/wer-summary-TEST_NET-beam_size_4-epoch-4-avg-1-beam-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	9.04

test_wavs/RESULTS.md

@@ -0,0 +1,58 @@
+(k2-python) luomingshuang@de-74279-k2-train-7-0616225511-78bf4545d8-tv52r:~/codes/sherpa-chinese-streaming$ python sherpa/bin/streaming_conformer_rnnt/streaming_client.py --server-addr localhost --server-port 6006 /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000000.wav
+2022-07-21 20:26:50,592 INFO [streaming_client.py:86] Sending /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000000.wav
+2022-07-21 20:26:51,421 INFO [streaming_client.py:77] Partial result (last 20 words): 对我
+2022-07-21 20:26:51,676 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了
+2022-07-21 20:26:51,939 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍
+2022-07-21 20:26:52,457 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍
+2022-07-21 20:26:52,711 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍
+2022-07-21 20:26:52,975 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我
+2022-07-21 20:26:53,235 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说
+2022-07-21 20:26:53,753 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是
+2022-07-21 20:26:54,009 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是
+2022-07-21 20:26:54,274 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家
+2022-07-21 20:26:54,528 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家如果对
+2022-07-21 20:26:55,048 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家如果对我的研
+2022-07-21 20:26:55,312 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家如果对我的研究感
+2022-07-21 20:26:55,568 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家如果对我的研究感兴趣
+2022-07-21 20:26:55,824 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家如果对我的研究感兴趣
+2022-07-21 20:26:56,340 INFO [streaming_client.py:77] Partial result (last 20 words): 对我做了介绍那么我想说的是大家如果对我的研究感兴趣
+2022-07-21 20:26:56,340 INFO [streaming_client.py:109] /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000000.wav
+对我做了介绍那么我想说的是大家如果对我的研究感兴趣
+(k2-python) luomingshuang@de-74279-k2-train-7-0616225511-78bf4545d8-tv52r:~/codes/sherpa-chinese-streaming$ python sherpa/bin/streaming_conformer_rnnt/streaming_client.py --server-addr localhost --server-port 6006 /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000001.wav
+2022-07-21 20:27:01,666 INFO [streaming_client.py:86] Sending /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000001.wav
+2022-07-21 20:27:02,233 INFO [streaming_client.py:77] Partial result (last 20 words): 重
+2022-07-21 20:27:02,497 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想
+2022-07-21 20:27:02,750 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈
+2022-07-21 20:27:03,013 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问
+2022-07-21 20:27:03,535 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题
+2022-07-21 20:27:03,787 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题
+2022-07-21 20:27:04,048 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首
+2022-07-21 20:27:04,304 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先
+2022-07-21 20:27:04,822 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就
+2022-07-21 20:27:05,086 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是
+2022-07-21 20:27:05,347 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是这一轮
+2022-07-21 20:27:05,600 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是这一轮全球
+2022-07-21 20:27:06,118 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是这一轮全球金融
+2022-07-21 20:27:06,382 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是这一轮全球金融动的
+2022-07-21 20:27:06,637 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是这一轮全球金融动的表
+2022-07-21 20:27:07,155 INFO [streaming_client.py:77] Partial result (last 20 words): 重点的想谈三个问题首先呢就是这一轮全球金融动的表现
+2022-07-21 20:27:07,155 INFO [streaming_client.py:109] /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000001.wav
+重点的想谈三个问题首先呢就是这一轮全球金融动的表现
+(k2-python) luomingshuang@de-74279-k2-train-7-0616225511-78bf4545d8-tv52r:~/codes/sherpa-chinese-streaming$ python sherpa/bin/streaming_conformer_rnnt/streaming_client.py --server-addr localhost --server-port 6006 /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000002.wav
+2022-07-21 20:27:12,236 INFO [streaming_client.py:86] Sending /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000002.wav
+2022-07-21 20:27:13,064 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪
+2022-07-21 20:27:13,327 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的
+2022-07-21 20:27:13,581 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分
+2022-07-21 20:27:14,098 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析
+2022-07-21 20:27:14,361 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一
+2022-07-21 20:27:14,617 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次
+2022-07-21 20:27:14,883 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次
+2022-07-21 20:27:15,401 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次全球
+2022-07-21 20:27:15,655 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次全球金融
+2022-07-21 20:27:15,917 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次全球金融动的
+2022-07-21 20:27:16,173 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次全球金融动的背后的
+2022-07-21 20:27:16,690 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次全球金融动的背后的根
+2022-07-21 20:27:16,948 INFO [streaming_client.py:77] Partial result (last 20 words): 山猪的分析这一次全球金融动的背后的根源
+2022-07-21 20:27:16,948 INFO [streaming_client.py:109] /ceph-ms/luomingshuang/codes/icefall-wenetspeech-pruned-rnnt5/egs/wenetspeech/ASR/icefall_asr_wenetspeech_pruned_transducer_stateless5/test_wavs/DEV_T0000000002.wav
+山猪的分析这一次全球金融动的背后的根源
+