correct arg passing

python/tvm/topi/reduction.py

@@ -167,7 +167,7 @@ def min(data, axis=None, keepdims=False):
     return cpp.min(data, axis, keepdims)
 
 
-def argmax(data, axis=None, keepdims=False, exclude=False, select_last_index=False):
+def argmax(data, axis=None, keepdims=False, select_last_index=False):
     """Returns the indices of the maximum values along an axis.
 
     Parameters
@@ -185,14 +185,18 @@ def argmax(data, axis=None, keepdims=False, exclude=False, select_last_index=Fal
         with size one.
         With this option, the result will broadcast correctly against the input array.
 
+    select_last_index: bool
+        Whether to select the last index if the maximum element appears multiple times, else
+        select the first index.
+
     Returns
     -------
     ret : tvm.te.Tensor
     """
-    return cpp.argmax(data, axis, keepdims, exclude=exclude, select_last_index=select_last_index)
+    return cpp.argmax(data, axis, keepdims, select_last_index)
 
 
-def argmin(data, axis=None, keepdims=False, exclude=False, select_last_index=False):
+def argmin(data, axis=None, keepdims=False, select_last_index=False):
     """Returns the indices of the minimum values along an axis.
 
     Parameters
@@ -210,11 +214,15 @@ def argmin(data, axis=None, keepdims=False, exclude=False, select_last_index=Fal
         with size one.
         With this option, the result will broadcast correctly against the input array.
 
+    select_last_index: bool
+        Whether to select the last index if the minimum element appears multiple times, else
+        select the first index.
+
     Returns
     -------
     ret : tvm.te.Tensor
     """
-    return cpp.argmin(data, axis, keepdims, exclude, select_last_index)
+    return cpp.argmin(data, axis, keepdims, select_last_index)
 
 
 def prod(data, axis=None, keepdims=False):