2022-07-20 21:02:14,517 INFO [decode.py:653] Decoding started
2022-07-20 21:02:14,517 INFO [decode.py:654] {'subsampling_factor': 4, 'feature_dim': 80, 'nhead': 8, 'dim_feedforward': 2048, 'encoder_dim': 512, 'num_encoder_layers': 12, 'search_beam': 20, 'output_beam': 8, 'min_active_states': 30, 'max_active_states': 10000, 'use_double_scores': True, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '350e449fe5d7b4231f77eb0add764782eed9f5d2', 'k2-git-date': 'Thu May 26 22:56:24 2022', 'lhotse-version': '1.3.0.dev+git.232f3eb.dirty', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'conformer_ctc2', 'icefall-git-sha1': 'd812f82-dirty', 'icefall-git-date': 'Wed Jul 20 19:47:36 2022', 'icefall-path': '/home/storage23/wangquandong/experiment/open_source/icefall', 'k2-path': '/home/storage23/wangquandong/tools/k2/k2/python/k2/__init__.py', 'lhotse-path': '/home/storage23/wangquandong/tools/lhotse/lhotse/__init__.py', 'hostname': 'tj1-asr-train-v100-30.kscn', 'IP address': '10.38.22.183'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'method': '1best', 'use_averaged_model': True, 'num_decoder_layers': 6, 'num_paths': 100, 'nbest_scale': 0.5, 'exp_dir': PosixPath('pruned_transducer_stateless_smooth/quandongtest_8gpu_ctc_attnetion2-exp'), 'lang_dir': PosixPath('data/lang_bpe_500'), 'lm_dir': PosixPath('data/lm'), 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures'}
2022-07-20 21:02:14,924 INFO [lexicon.py:176] Loading pre-compiled data/lang_bpe_500/Linv.pt
2022-07-20 21:02:14,985 INFO [decode.py:664] device: cuda:0
2022-07-20 21:02:21,902 INFO [decode.py:821] Calculating the averaged model over epoch range from 22 (excluded) to 30
2022-07-20 21:02:24,825 INFO [decode.py:837] Number of model parameters: 103071035
2022-07-20 21:02:24,825 INFO [asr_datamodule.py:444] About to get test-clean cuts
2022-07-20 21:02:24,840 INFO [asr_datamodule.py:451] About to get test-other cuts
2022-07-20 21:02:26,027 INFO [decode.py:588] batch 0/?, cuts processed until now is 15
2022-07-20 21:02:52,011 INFO [decode.py:588] batch 100/?, cuts processed until now is 2578
2022-07-20 21:02:52,790 INFO [decode.py:609] The transcripts are stored in pruned_transducer_stateless_smooth/quandongtest_8gpu_ctc_attnetion2-exp/recogs-test-clean-no_rescore.txt
2022-07-20 21:02:52,871 INFO [utils.py:416] [test-clean-no_rescore] %WER 2.93% [1542 / 52576, 148 ins, 217 del, 1177 sub ]
2022-07-20 21:02:53,105 INFO [decode.py:621] Wrote detailed error stats to pruned_transducer_stateless_smooth/quandongtest_8gpu_ctc_attnetion2-exp/errs-test-clean-no_rescore.txt
2022-07-20 21:02:53,106 INFO [decode.py:637] 
For test-clean, WER of different settings are:
no_rescore	2.93	best for test-clean

2022-07-20 21:02:54,150 INFO [decode.py:588] batch 0/?, cuts processed until now is 19
2022-07-20 21:03:19,172 INFO [decode.py:588] batch 100/?, cuts processed until now is 2888
2022-07-20 21:03:19,539 INFO [decode.py:609] The transcripts are stored in pruned_transducer_stateless_smooth/quandongtest_8gpu_ctc_attnetion2-exp/recogs-test-other-no_rescore.txt
2022-07-20 21:03:19,620 INFO [utils.py:416] [test-other-no_rescore] %WER 6.37% [3332 / 52343, 258 ins, 592 del, 2482 sub ]
2022-07-20 21:03:19,850 INFO [decode.py:621] Wrote detailed error stats to pruned_transducer_stateless_smooth/quandongtest_8gpu_ctc_attnetion2-exp/errs-test-other-no_rescore.txt
2022-07-20 21:03:19,851 INFO [decode.py:637] 
For test-other, WER of different settings are:
no_rescore	6.37	best for test-other

2022-07-20 21:03:19,851 INFO [decode.py:868] Done!