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https://github.com/storytold/storyteller-ml.git
synced 2026-10-13 23:53:02 +00:00
Remove more spurious logging
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@@ -47,10 +47,13 @@ hann_window = {}
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def mel_spectrogram(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False):
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if torch.min(y) < -1.:
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print('min value is ', torch.min(y))
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if torch.max(y) > 1.:
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print('max value is ', torch.max(y))
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# NB(bt,2022-07-14): There was previous debugging being done here.
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# Going over the normalization range may have been causing issues?
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# It periodically appears in the logs. In any case, it isn't helpful
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#if torch.min(y) < -1.:
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# print('min value is ', torch.min(y))
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#if torch.max(y) > 1.:
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# print('max value is ', torch.max(y))
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global mel_basis, hann_window
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if fmax not in mel_basis:
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@@ -237,19 +237,6 @@ class ApiHandler():
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maybe_clear_synthesizer_checkpoint_path = \
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raw_data.get('maybe_clear_synthesizer_checkpoint_path')
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print('synthesizer_checkpoint_path: {}'.format(synthesizer_checkpoint_path))
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print('text_pipeline_type: {}'.format(text_pipeline_type))
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print('vocoder_type: {}'.format(vocoder_type))
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print('waveglow_vocoder_checkpoint_path: {}'.format(waveglow_vocoder_checkpoint_path))
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print('hifigan_vocoder_checkpoint_path: {}'.format(hifigan_vocoder_checkpoint_path))
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print('hifigan_superres_vocoder_checkpoint_path: {}'.format(hifigan_superres_vocoder_checkpoint_path))
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print('inference_text: {}'.format(inference_text))
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print('output_audio_filename: {}'.format(output_audio_filename))
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print('output_spectrogram_filename: {}'.format(output_spectrogram_filename))
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print('output_metadata_filename: {}'.format(output_metadata_filename))
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print('maybe_clear_synthesizer_checkpoint_path: {}'.format(
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maybe_clear_synthesizer_checkpoint_path))
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pipeline.maybe_load_waveglow_model(waveglow_vocoder_checkpoint_path)
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pipeline.maybe_load_hifigan(hifigan_vocoder_checkpoint_path)
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pipeline.maybe_load_hifigan_super_resolution(hifigan_superres_vocoder_checkpoint_path)
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