# 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%|██████████| 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