fixed using zero with tp cannot access weight correctly

colossalai/nn/layer/colossalai_layer/_utils.py

@@ -24,15 +24,18 @@ class ColossalaiModule(nn.Module):
 
     def __init__(self, module: nn.Module, **kwargs):
         super().__init__()
-        # copy values
-        self.__dict__ = module.__dict__.copy()
-        # copy methods
-        for name, attr in module.__class__.__dict__.items():
-            if name not in ['__init__', 'forward'] and callable(attr):
-                setattr(self, name, getattr(module, name))
-        self._forward_func = module.forward
+        self.module = module
         for k, v in kwargs.items():
             setattr(self, k, v)
 
+    def __getattr__(self, name: str):
+        if name == 'module':
+            return super().__getattr__(name)
+        elif hasattr(self.module, name):
+            return getattr(self.module, name)
+        elif name in self.__dict__:
+            return self.__dict__[name]
+        raise AttributeError("'{}' object has no attribute '{}'".format(type(self).__name__, name))
+
     def forward(self, *args):
-        return self._forward_func(*args)
+        return self.module(*args)

colossalai/nn/layer/colossalai_layer/dropout.py

 import torch.nn as nn
+
 from colossalai.context import ParallelMode, seed
 
 from ..parallel_1d import *
@@ -24,7 +25,7 @@ class Dropout(ColossalaiModule):
 
     def forward(self, *args):
         if self.tensor_parallel in [None, '1d']:
-            return self._forward_func(*args)
+            return super().forward(*args)
         else:
             with seed(ParallelMode.TENSOR):
-                return self._forward_func(*args)
+                return super().forward(*args)