diff --git a/imperative/python/megengine/traced_module/compat.py b/imperative/python/megengine/traced_module/compat.py
index acd4afa0dfad1133708b5bb934bfbdc0acb1d2bb..9350b1bdaddb5b1315dc9040c657a9cb8c8ba59f 100644
--- a/imperative/python/megengine/traced_module/compat.py
+++ b/imperative/python/megengine/traced_module/compat.py
@@ -8,7 +8,8 @@
 
 import numpy as np
 
-from .. import tensor
+from megengine.functional.tensor import zeros
+
 from ..core.ops.builtin import BatchNorm
 from .expr import CallMethod, Constant
 from .node import TensorNode
@@ -135,3 +136,29 @@ def bn_opdef_loader(expr):
         output = expr.outputs[-1]
         oup = TensorNode(expr, shape=(0,), dtype=None, qparams=output._qparams,)
         expr.outputs.insert(4, oup)
+
+
+@register_functional_loader(
+    ("megengine.functional.tensor", "ones"), ("megengine.functional.tensor", "zeros")
+)
+def tensor_gen_func_loader(expr):
+    if hasattr(expr, "version") and expr.version == "1.7.0":
+        expr.set_args_kwargs(expr.args[0], dtype=expr.args[1], device=expr.args[2])
+    if not hasattr(expr, "version"):
+        # compatiable for version 1.6
+        shape = expr.args[0] if len(expr.args) > 0 else expr.kwargs["shape"]
+
+        if len(expr.args) > 1:
+            dtype = expr.args[1]
+        elif "dtype" in expr.kwargs:
+            dtype = expr.kwargs["dtype"]
+        else:
+            dtype = "float32"
+
+        if len(expr.args) > 2:
+            device = expr.args[2]
+        elif "device" in expr.kwargs:
+            device = expr.kwargs["device"]
+        else:
+            device = None
+        expr.set_args_kwargs(shape, dtype=dtype, device=device)