diff --git a/python_module/megengine/functional/external.py b/python_module/megengine/functional/external.py
index badede8fb0a06324e752ad06d72a496dbff703fe..6c93d217ff247f3f5607d7a2a55cc63333d2381d 100644
--- a/python_module/megengine/functional/external.py
+++ b/python_module/megengine/functional/external.py
@@ -34,6 +34,17 @@ def cambricon_subgraph(
     )
 
 
+@wrap_io_tensor
+def atlas_subgraph(inputs: List[Tensor], data: bytes) -> List[Tensor]:
+    """Load a serialized Atlas subgraph (i.e. om model) and
+    execute the operations defined in the subgraph.
+
+    :param inputs: List of input tensors of the subgraph.
+    :param data: The serialized subgraph.
+    """
+    return mgb.opr.atlas_runtime(tuple(map(lambda x: x._symvar, inputs)), data)
+
+
 @wrap_io_tensor
 def extern_opr_subgraph(
     inputs, output_shapes: List[tuple], dump_name: str, dump_data: bytes,
diff --git a/python_module/megengine/module/external.py b/python_module/megengine/module/external.py
index a5da2a140c7e281d612c633eee395d234c223d9e..962754e8d482bc9a1ac8340fc2ff7cfd2c48bf3b 100644
--- a/python_module/megengine/module/external.py
+++ b/python_module/megengine/module/external.py
@@ -8,7 +8,11 @@
 # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 import numpy as np
 
-from ..functional.external import cambricon_subgraph, extern_opr_subgraph
+from ..functional.external import (
+    atlas_subgraph,
+    cambricon_subgraph,
+    extern_opr_subgraph,
+)
 from .module import Module
 
 
@@ -41,6 +45,29 @@ class CambriconSubgraph(Module):
         return outputs
 
 
+class AtlasSubgraph(Module):
+    r"""Load a serialized Atlas subgraph.
+
+    See :func:`~.atlas_subgraph` for more details.
+    """
+
+    def __init__(self, data):
+        super(AtlasSubgraph, self).__init__()
+        self._data = data
+
+    @property
+    def data(self):
+        return self._data.tobytes()
+
+    @data.setter
+    def data(self, val):
+        self._data = np.frombuffer(val, dtype=np.uint8)
+
+    def forward(self, inputs):
+        outputs = atlas_subgraph(inputs, self._data)
+        return outputs
+
+
 class ExternOprSubgraph(Module):
     r"""Load a serialized extern opr subgraph.
     """
diff --git a/python_module/test/unit/module/AtlasRuntimeOprTest.basic.om b/python_module/test/unit/module/AtlasRuntimeOprTest.basic.om
new file mode 100644
index 0000000000000000000000000000000000000000..942fe2edff071b681433616ea0de43b30aa9cb29
Binary files /dev/null and b/python_module/test/unit/module/AtlasRuntimeOprTest.basic.om differ
diff --git a/python_module/test/unit/module/test_external.py b/python_module/test/unit/module/test_external.py
index 3a4e6d7f644b726f39b3aa0fdff72271f933f8b8..44f5cf21fbaa1cd544b1e06ed6c43ea24c7adf85 100644
--- a/python_module/test/unit/module/test_external.py
+++ b/python_module/test/unit/module/test_external.py
@@ -13,10 +13,10 @@ import numpy as np
 import megengine as mge
 from megengine import tensor
 from megengine.module import Module
-from megengine.module.external import CambriconSubgraph
+from megengine.module.external import AtlasSubgraph, CambriconSubgraph
 
 
-class MyModule(Module):
+class CambriconModule(Module):
     def __init__(self, data):
         super().__init__()
         self.cambricon = CambriconSubgraph(data, "subnet0", True)
@@ -31,7 +31,7 @@ def test_cambricon_module():
     model = os.path.join(os.path.dirname(__file__), model)
     with open(model, "rb") as f:
         data = f.read()
-        m = MyModule(data)
+        m = CambriconModule(data)
         inputs = []
         inputs.append(tensor(dtype=np.float16, device="cambricon0"))
         inputs[0].set_value(np.random.normal(size=(1, 64, 32, 32)).astype(np.float16))
@@ -41,3 +41,30 @@ def test_cambricon_module():
             return pred
 
         pred = inference(inputs)
+
+
+class AtlasModule(Module):
+    def __init__(self, data):
+        super().__init__()
+        self.atlas = AtlasSubgraph(data)
+
+    def forward(self, inputs):
+        out = self.atlas(inputs)
+        return out
+
+
+def test_atlas_module():
+    model = "AtlasRuntimeOprTest.basic.om"
+    model = os.path.join(os.path.dirname(__file__), model)
+    with open(model, "rb") as f:
+        data = f.read()
+        m = AtlasModule(data)
+        inputs = []
+        inputs.append(tensor(dtype=np.float32, device="atlas0"))
+        inputs[0].set_value(np.random.normal(size=(4, 3, 16, 16)).astype(np.float32))
+
+        def inference(inps):
+            pred = m(inps)
+            return pred
+
+        pred = inference(inputs)