[NeMo W 2021-05-17 06:43:28 experimental:28] Module <class 'nemo.collections.asr.losses.ctc.CTCLoss'> is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module nemo.collections.asr.data.audio_to_text.AudioToCharDataset is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module nemo.collections.asr.data.audio_to_text.AudioToBPEDataset is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module nemo.collections.asr.data.audio_to_text.AudioLabelDataset is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module nemo.collections.asr.data.audio_to_text.TarredAudioToTextDataset is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module nemo.collections.asr.data.audio_to_text.TarredAudioToCharDataset is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module nemo.collections.asr.data.audio_to_text.TarredAudioToBPEDataset is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:29 experimental:28] Module <class 'nemo.collections.asr.data.audio_to_text_dali.AudioToCharDALIDataset'> is experimental, not ready for production and is not fully supported. Use at your own risk.
[NeMo W 2021-05-17 06:43:30 exp_manager:380] Exp_manager is logging to /results/model, but it already exists.
[NeMo W 2021-05-17 06:43:30 exp_manager:321] There were no checkpoints found in /results/model/checkpoints. Training from scratch.
[NeMo W 2021-05-17 06:43:30 nemo_logging:349] /opt/conda/lib/python3.6/site-packages/pytorch_lightning/utilities/distributed.py:49: UserWarning: Checkpoint directory /results/model/checkpoints exists and is not empty.
      warnings.warn(*args, **kwargs)
    
[NeMo W 2021-05-17 06:43:38 modelPT:146] Please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.
    Train config : 
    manifest_filepath: /data/fisher_min5sec/small_manifest.json
    batch_size: 32
    sample_rate: 16000
    labels:
    - ' '
    - a
    - b
    - c
    - d
    - e
    - f
    - g
    - h
    - i
    - j
    - k
    - l
    - m
    - 'n'
    - o
    - p
    - q
    - r
    - s
    - t
    - u
    - v
    - w
    - x
    - 'y'
    - z
    - ''''
    num_workers: null
    trim_silence: true
    shuffle: true
    max_duration: 16.7
    is_tarred: false
    tarred_audio_filepaths: null
    
[NeMo W 2021-05-17 06:43:38 modelPT:153] Please call the ModelPT.setup_validation_data() or ModelPT.setup_multiple_validation_data() method and provide a valid configuration file to setup the validation data loader(s). 
    Validation config : 
    manifest_filepath: /data/fisher_min5sec/small_manifest.json
    batch_size: 32
    sample_rate: 16000
    labels:
    - ' '
    - a
    - b
    - c
    - d
    - e
    - f
    - g
    - h
    - i
    - j
    - k
    - l
    - m
    - 'n'
    - o
    - p
    - q
    - r
    - s
    - t
    - u
    - v
    - w
    - x
    - 'y'
    - z
    - ''''
    num_workers: null
    trim_silence: true
    shuffle: false
    max_duration: null
    is_tarred: false
    tarred_audio_filepaths: null
    
[NeMo W 2021-05-17 06:44:20 patch_utils:50] torch.stft() signature has been updated for PyTorch 1.7+
    Please update PyTorch to remain compatible with later versions of NeMo.
[NeMo W 2021-05-17 06:44:24 nemo_logging:349] /opt/conda/lib/python3.6/site-packages/torch/functional.py:516: UserWarning: The function torch.rfft is deprecated and will be removed in a future PyTorch release. Use the new torch.fft module functions, instead, by importing torch.fft and calling torch.fft.fft or torch.fft.rfft. (Triggered internally at  ../aten/src/ATen/native/SpectralOps.cpp:674.)
      normalized, onesided, return_complex)
    
[NeMo W 2021-05-17 06:46:07 nemo_logging:349] /opt/conda/lib/python3.6/site-packages/pytorch_lightning/utilities/distributed.py:49: UserWarning: The validation_epoch_end should not return anything as of 9.1. To log, use self.log(...) or self.write(...) directly in the LightningModule
      warnings.warn(*args, **kwargs)