[lazyinit] fix clone and deepcopy

colossalai/utils/model/experimental.py

@@ -14,8 +14,8 @@
 # reference: https://pytorch.org/cppdocs/notes/tensor_creation.html
 _NORMAL_FACTORY = [
     "arange",
-    "empty",
     "full",
+    "empty",
     "linspace",
     "logspace",
     "ones",
@@ -324,7 +324,9 @@ def __torch_dispatch__(cls, func, types, args=(), kwargs=None):
     def clone(self) -> "LazyTensor":
 
         def factory_fn():
-            return self.materialize().clone()
+            # if self is materialized, return self
+            new_tensor = self.materialize() if type(self) is LazyTensor else self
+            return new_tensor.clone()
 
         target = LazyTensor(factory_fn, meta_data=self._meta_data)
 
@@ -333,6 +335,26 @@ def factory_fn():
     def detach(self) -> Tensor:
         return self
 
+    def __deepcopy__(self, memo):
+        if not self.is_leaf:
+            raise RuntimeError("Only Tensors created explicitly by the user "
+                               "(graph leaves) support the deepcopy protocol at the moment")
+        if id(self) in memo:
+            return memo[id(self)]
+
+        def factory_fn():
+            # if self is materialized, return self
+            new_tensor = self.materialize() if type(self) is LazyTensor else self
+            copied = new_tensor.detach().clone()
+            if new_tensor.requires_grad:
+                copied.requires_grad_()
+            return copied
+
+        target = LazyTensor(factory_fn, meta_data=self._meta_data)
+
+        memo[id(self)] = target
+        return target
+
     @property
     def data(self):
         return self