add warnings
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191c6a7499
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@ -1,4 +1,4 @@
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import logging
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import warnings
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import numpy as np
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import torch
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@ -134,7 +134,7 @@ class Pesq:
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try:
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pesq_values.append(self.pesq(pred.squeeze(), target_.squeeze()))
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except Exception as e:
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logging.warning(f"{e} error occured while calculating PESQ")
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warnings.warn(f"{e} error occured while calculating PESQ")
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return torch.tensor(np.mean(pesq_values))
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