adjust

python/paddle/fluid/layers/nn.py

@@ -3028,9 +3028,9 @@ def hsigmoid(input, label, num_classes=2, param_attr=None, bias_attr=None):
     pre_out = helper.create_tmp_variable(dtype)
     dim = input.shape[1]
     if num_classes < 2:
-        raise valueError("num_classes must be lager or equal than 2.")
-    if x.shape[0] != y.shape[1]:
-        raise valueError(
+        raise ValueError("num_classes must be lager or equal than 2.")
+    if input.shape[0] != label.shape[1]:
+        raise ValueError(
             "input's 1-st dimension and label's 2-nd dimension must be equal they both equal to batch size."
         )
     weights = helper.create_parameter(