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@ -888,15 +888,15 @@ class MetricsTracker(collections.defaultdict):
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for k, v in self.items():
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if k == "frames" or k == "utterances":
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continue
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#norm_value = (
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# float(v) / num_frames if "utt_" not in k else float(v) / num_utterances
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#)
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norm_value = (
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float(v) / num_frames if "utt_" not in k else float(v) / num_utterances
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)
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#norm_value = (
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# float(v) / num_utterances
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#)
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norm_value = (
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float(v)
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)
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#norm_value = (
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# float(v)
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#)
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ans.append((k, norm_value))
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return ans
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