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BUG: Make distance metrics return tensors, fix #700 #701 #702

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merged 1 commit into from Sep 23, 2023
Merged

BUG: Make distance metrics return tensors, fix #700 #701 #702

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6 changes: 4 additions & 2 deletions src/vak/metrics/distance/functional.py
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@@ -1,4 +1,5 @@
import numpy as np
import torch


def levenshtein(source, target):
Expand Down Expand Up @@ -65,7 +66,7 @@ def levenshtein(source, target):

d0, d1 = d1, d0

return d0[-1]
return torch.tensor(d0[-1], dtype=torch.int32)


def segment_error_rate(y_pred, y_true):
Expand Down Expand Up @@ -95,4 +96,5 @@ def segment_error_rate(y_pred, y_true):
"segment error rate is undefined when length of y_true is zero"
)

return levenshtein(y_pred, y_true) / len(y_true)
rate = levenshtein(y_pred, y_true) / len(y_true)
return torch.tensor(rate, dtype=torch.float32)