| # python3 pyscripts/feats/dump_codec.py --codec_choice ESPnet --codec_fs 16000 --batch_size 20 --bias 0 --dump_audio false --rank 2 --vocab_file dump_16000/raw_tts_mls_ESPnet_espnet_libritts_soundstream16k/mls_all_dev/token_lists/codec_token_list --wav_wspecifier ark,scp:dump_16000/raw_tts_mls_ESPnet_espnet_libritts_soundstream16k/mls_all_dev/data/wav_resyn_ESPnet.2.ark,dump_16000/raw_tts_mls_ESPnet_espnet_libritts_soundstream16k/mls_all_dev/data/wav_resyn_ESPnet.2.scp --checkpoint_path null --config_path null --hf_model_tag espnet/libritts_soundstream16k scp:dump_16000/raw_tts_mls_ESPnet_espnet_libritts_soundstream16k/mls_all_dev/logdir/wav.2.scp ark,scp:dump_16000/raw_tts_mls_ESPnet_espnet_libritts_soundstream16k/mls_all_dev/data/wav_codec_ESPnet.2.ark,dump_16000/raw_tts_mls_ESPnet_espnet_libritts_soundstream16k/mls_all_dev/data/wav_codec_ESPnet.2.scp | |
| # Started at Mon Sep 2 23:21:57 EDT 2024 | |
| # | |
| 2024-09-02 23:21:59 | INFO | dump_codec | build with codec_choice: ESPnet | |
| Fetching 30 files: 0%| | 0/30 [00:00<?, ?it/s] Fetching 30 files: 100%|ββββββββββ| 30/30 [00:00<00:00, 31230.86it/s] | |
| 2024-09-02 23:22:07 | INFO | root | config file: /ocean/projects/cis210027p/swang26/miniconda3/envs/espnet_codec_robustness/lib/python3.10/site-packages/espnet_model_zoo/models--espnet--libritts_soundstream16k/snapshots/043b55a1f6c1bb789e348bb01cf6a871d95f76f6/exp/codec_train_soundstream4_16k_raw_fs16000/config.yaml | |
| /ocean/projects/cis210027p/swang26/miniconda3/envs/espnet_codec_robustness/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. | |
| warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") | |
| /ocean/projects/cis210027p/swang26/miniconda3/envs/espnet_codec_robustness/lib/python3.10/site-packages/librosa/util/decorators.py:88: UserWarning: Empty filters detected in mel frequency basis. Some channels will produce empty responses. Try increasing your sampling rate (and fmax) or reducing n_mels. | |
| return f(*args, **kwargs) | |
| /ocean/projects/cis210027p/swang26/miniconda3/envs/espnet_codec_robustness/lib/python3.10/site-packages/torch/nn/modules/conv.py:306: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:84.) | |
| return F.conv1d(input, weight, bias, self.stride, | |
| # Accounting: time=21 threads=1 | |
| # Ended (code 0) at Mon Sep 2 23:22:18 EDT 2024, elapsed time 21 seconds | |