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always log 'topk=1' when k < output_dims to ensure consistent log formatting

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gaotingquan 2023-08-28 06:44:50 +00:00 committed by Tingquan Gao
parent eddba911b1
commit ae96c979eb
1 changed files with 2 additions and 1 deletions
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3
ppcls/metric/metrics.py
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@ -54,8 +54,9 @@ class TopkAcc(AvgMetrics):
metric_dict = dict()
for idx, k in enumerate(self.topk):
if output_dims < k:
msg = f"The output dims({output_dims}) is less than k({k}), and the argument {k} of Topk has been removed."
msg = f"The output dims({output_dims}) is less than k({k}), so the Top-{k} metric is meaningless."
logger.warning(msg)
metric_dict[f"top{k}"] = 1
self.avg_meters.pop(f"top{k}")
continue
metric_dict[f"top{k}"] = paddle.metric.accuracy(x, label, k=k)