diff --git a/imperative/python/megengine/tools/network_visualize.py b/imperative/python/megengine/tools/network_visualize.py
index 181a302727e46c3d7a4d4d71369cd69c93eea5eb..a77641b00a4524a83603e7d6b67c52f626852fa4 100755
--- a/imperative/python/megengine/tools/network_visualize.py
+++ b/imperative/python/megengine/tools/network_visualize.py
@@ -31,7 +31,7 @@ def visualize(
 ):
     r"""
     Load megengine dumped model and visualize graph structure with tensorboard log files.
-    Can also record and print model's statistics like :func:`~.net_stats`
+    Can also record and print model's statistics like :func:`~.module_stats`
 
     :param model_path: dir path for megengine dumped model.
     :param log_path: dir path for tensorboard graph log.
diff --git a/imperative/python/megengine/utils/module_stats.py b/imperative/python/megengine/utils/module_stats.py
index 46753cbe92bd8a32d824a21509533e663e6fe203..c091e3215554e7579f3db741e9605be86aa3a6a0 100644
--- a/imperative/python/megengine/utils/module_stats.py
+++ b/imperative/python/megengine/utils/module_stats.py
@@ -187,7 +187,7 @@ def print_params_stats(params, bar_length_max=20):
     return total_param_size
 
 
-def net_stats(
+def module_stats(
     model: m.Module,
     input_size: int,
     bar_length_max: int = 20,
@@ -212,7 +212,7 @@ def net_stats(
         else:
             return 4
 
-    def net_stats_hook(module, input, output, name=""):
+    def module_stats_hook(module, input, output, name=""):
         class_name = str(module.__class__).split(".")[-1].split("'")[0]
 
         flops_fun = CALC_FLOPS.get(type(module))
@@ -280,7 +280,7 @@ def net_stats(
     for (name, module) in model.named_modules():
         if isinstance(module, hook_modules):
             hooks.append(
-                module.register_forward_hook(partial(net_stats_hook, name=name))
+                module.register_forward_hook(partial(module_stats_hook, name=name))
             )
 
     inputs = [zeros(in_size, dtype=np.float32) for in_size in input_size]