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docs/api/paddle/metric/accuracy_cn.rst
@@ -13,7 +13,7 @@ accuracy layer。 参考 https://en.wikipedia.org/wiki/Precision_and_recall
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- **input** (Tensor)-数据类型为float32,float64。输入为网络的预测值。shape为 ``[sample_number, class_dim]`` 。
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- - **label** (Tensor)-数据类型为int64,int32。输入为数据集的标签。shape为 ``[sample_number, 1]`` 。
+ - **label** (Tensor)-数据类型为int64。输入为数据集的标签。shape为 ``[sample_number, 1]`` 。
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- **k** (int64|int32,可选) - 取每个类别中k个预测值用于计算,默认值为1。
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- **correct** (int64|int32, 可选)-正确预测值的个数,默认值为None。
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- **total** (int64|int32,可选)-总共的预测值,默认值为None。
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