dataspeech/gpu_enrichments/pitch.py [29:40]:
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            pitch, periodicity = penn.from_audio(
                torch.tensor(sample["array"][None, :]).float(),
                sample["sampling_rate"],
                hopsize=hopsize,
                fmin=fmin,
                fmax=fmax,
                checkpoint=checkpoint,
                batch_size=penn_batch_size,
                center=center,
                interp_unvoiced_at=interp_unvoiced_at,
                gpu=(rank or 0)% torch.cuda.device_count() if torch.cuda.device_count() > 0 else rank
                )
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dataspeech/gpu_enrichments/pitch.py [49:60]:
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        pitch, periodicity = penn.from_audio(
                torch.tensor(sample["array"][None, :]).float(),
                sample["sampling_rate"],
                hopsize=hopsize,
                fmin=fmin,
                fmax=fmax,
                checkpoint=checkpoint,
                batch_size=penn_batch_size,
                center=center,
                interp_unvoiced_at=interp_unvoiced_at,
                gpu=(rank or 0)% torch.cuda.device_count() if torch.cuda.device_count() > 0 else rank
                )        
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