diff --git a/imperative/python/megengine/utils/module_stats.py b/imperative/python/megengine/utils/module_stats.py
index fa66ee57..531f937c 100644
--- a/imperative/python/megengine/utils/module_stats.py
+++ b/imperative/python/megengine/utils/module_stats.py
@@ -163,10 +163,10 @@ hook_modules = [
 
 def register_hook_module(module):
     if isinstance(module, (tuple, list)):
-        modules = list(module)
+        modules = module
         for module in modules:
             register_hook_module(module)
-    elif isinstance(module, M.Module):
+    elif issubclass(module, M.Module):
         hook_modules.append(module)
     else:
         raise TypeError("the param type should in [list,tuple,M.Module]")
diff --git a/imperative/python/test/unit/utils/test_module_stats.py b/imperative/python/test/unit/utils/test_module_stats.py
index 53797b88..d98064b0 100644
--- a/imperative/python/test/unit/utils/test_module_stats.py
+++ b/imperative/python/test/unit/utils/test_module_stats.py
@@ -10,7 +10,11 @@ import megengine.functional as F
 import megengine.hub as hub
 import megengine.module as M
 from megengine.core._trace_option import use_symbolic_shape
-from megengine.utils.module_stats import module_stats
+from megengine.utils.module_stats import (
+    hook_modules,
+    module_stats,
+    register_hook_module,
+)
 
 
 @pytest.mark.skipif(
@@ -75,6 +79,7 @@ def test_getattribute_param():
             self.conv1 = M.Conv2d(
                 3, self.in_channels, kernel_size=7, stride=2, padding=3, bias=True
             )
+            self.conv1.reset_parameters()
             self.bn1 = M.BatchNorm2d(self.in_channels)
 
         def forward(self, input):
@@ -90,8 +95,10 @@ def test_getattribute_param():
     def get_name(obj):
         return obj["name"]
 
-    param_name = list(map(get_name, params))
-    assert "conv1-w" in param_name and "conv1-b" in param_name
+    param_names = list(map(get_name, params))
+    assert "conv1-w" in param_names and "conv1-b" in param_names
+    conv1_b_param = params[param_names.index("conv1-b")]
+    assert int(conv1_b_param["mean"]) == 0 and int(conv1_b_param["std"]) == 0
 
 
 class TestNet0(M.Module):
@@ -493,3 +500,10 @@ def cal_pool_stats(module, inputs, outputs):
         np.prod(outputs[0].shape) * (module.kernel_size ** 2),
         np.prod(outputs[0].shape),
     )
+
+
+def test_register_hook_module():
+    modules = [TestNet0, TestNet1, TestNet2, FakeNet, BasicBlock, ResNet]
+    register_hook_module(modules)
+    for module in modules:
+        assert module in hook_modules