From 6e69d784e4814c3dbe35e8f70c6cf4b920c8b20b Mon Sep 17 00:00:00 2001
From: 天地 <tiandiweizun@gmail.com>
Date: 星期三, 19 三月 2025 23:10:13 +0800
Subject: [PATCH] 1. bug fix:list(mean)和list(var)，由于mean和var是numpy，导致写入到文件的格式错误，参考上面的话，大概率是list(mean.tolist())，其实外层list没有必要 (#2437)
---
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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