From d80ac2fd2df4e7fb8a28acfa512bb11472b5cc99 Mon Sep 17 00:00:00 2001
From: liugz18 <57401541+liugz18@users.noreply.github.com>
Date: 星期四, 18 七月 2024 21:34:55 +0800
Subject: [PATCH] Rename 'res' in line 514 to avoid with naming conflict with line 365
---
funasr/metrics/compute_acc.py | 23 ++++++++++++++++++++---
1 files changed, 20 insertions(+), 3 deletions(-)
diff --git a/funasr/metrics/compute_acc.py b/funasr/metrics/compute_acc.py
index 9d16e1f..8345866 100644
--- a/funasr/metrics/compute_acc.py
+++ b/funasr/metrics/compute_acc.py
@@ -1,5 +1,6 @@
import torch
+
def th_accuracy(pad_outputs, pad_targets, ignore_label):
"""Calculate accuracy.
@@ -16,8 +17,24 @@
pad_targets.size(0), pad_targets.size(1), pad_outputs.size(1)
).argmax(2)
mask = pad_targets != ignore_label
- numerator = torch.sum(
- pad_pred.masked_select(mask) == pad_targets.masked_select(mask)
- )
+ numerator = torch.sum(pad_pred.masked_select(mask) == pad_targets.masked_select(mask))
denominator = torch.sum(mask)
return float(numerator) / float(denominator)
+
+
+def compute_accuracy(pad_outputs, pad_targets, ignore_label):
+ """Calculate accuracy.
+
+ Args:
+ pad_outputs (LongTensor): Prediction tensors (B, Lmax).
+ pad_targets (LongTensor): Target label tensors (B, Lmax).
+ ignore_label (int): Ignore label id.
+
+ Returns:
+ float: Accuracy value (0.0 - 1.0).
+
+ """
+ mask = pad_targets != ignore_label
+ numerator = torch.sum(pad_outputs.masked_select(mask) == pad_targets.masked_select(mask))
+ denominator = torch.sum(mask)
+ return numerator.float() / denominator.float() # (FIX:MZY):return torch.Tensor type
--
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