diff --git a/imperative/python/megengine/functional/nn.py b/imperative/python/megengine/functional/nn.py
index 4f004fc094130a6e6ec4e7ddd021232539d73587..ce5cc78419fa72d651e990c17852ae207ff606cf 100644
--- a/imperative/python/megengine/functional/nn.py
+++ b/imperative/python/megengine/functional/nn.py
@@ -37,7 +37,6 @@ __all__ = [
     "dropout",
     "indexing_one_hot",
     "leaky_relu",
-    "linear",
     "local_conv2d",
     "logsigmoid",
     "logsumexp",
diff --git a/imperative/python/megengine/module/linear.py b/imperative/python/megengine/module/linear.py
index fcb6ab15d47f50d14db1599b7892182d0ed8d6fa..8e7ebed7ecb7f9059c5a78502741cfee15e73f85 100644
--- a/imperative/python/megengine/module/linear.py
+++ b/imperative/python/megengine/module/linear.py
@@ -7,7 +7,7 @@
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import numpy as np
 
-from ..functional import linear
+from ..functional.nn import linear
 from ..tensor import Parameter
 from . import init
 from .module import Module
diff --git a/imperative/python/megengine/module/quantized/linear.py b/imperative/python/megengine/module/quantized/linear.py
index 41df57ff71e8d2f049b3594de6747e82ca32bf23..c01b2b492fed4879d6d318bbedfedece08f138fa 100644
--- a/imperative/python/megengine/module/quantized/linear.py
+++ b/imperative/python/megengine/module/quantized/linear.py
@@ -31,7 +31,7 @@ class Linear(QuantizedModule):
         inp_scale = dtype.get_scale(inp.dtype)
         w_scale = dtype.get_scale(self.weight.dtype)
         bias_dtype = dtype.qint32(inp_scale * w_scale)
-        return F.linear(
+        return F.nn.linear(
             inp,
             self.weight,
             None if self.bias is None else self.bias.astype(bias_dtype),