diff --git a/python/tvm/relay/qnn/op/qnn.py b/python/tvm/relay/qnn/op/qnn.py
index c79c99c80d442..f32eaa14ad86d 100644
--- a/python/tvm/relay/qnn/op/qnn.py
+++ b/python/tvm/relay/qnn/op/qnn.py
@@ -221,6 +221,9 @@ def conv2d(data,
     input_zero_point: int
            The zero point of the data distribution.
 
+    kernel_zero_point: int
+           The zero point of the quantized_kernel distribution.
+
     input_scale: float
            The scale for the input tensor. The scale for the input tensor is
            stored purely for convenience here. See more commentary below.
@@ -231,9 +234,6 @@ def conv2d(data,
            needed in the pass pipeline after qnn.conv2d is lowered to the
            sequence of steps as in nn.conv2d. See also input_scale in Requantize.
 
-    kernel_zero_point: int
-           The zero point of the quantized_kernel distribution.
-
     strides : tuple of int, optional
         The strides of convolution.