[fx] added unit test for coloproxy (#1119)

* [fx] added unit test for coloproxy

* polish code

* polish code

colossalai/fx/proxy.py

@@ -19,16 +19,16 @@ class ColoProxy(Proxy):
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        self.meta_tensor = None
+        self._meta_tensor = None
 
     @property
     def meta_tensor(self):
-        return self.meta_tensor
+        return self._meta_tensor
 
     @meta_tensor.setter
     def meta_tensor(self, tensor: torch.Tensor):
-        assert tensor.is_meta, 'Expected to receive a meta tensor, but got a non-meta tensor'
-        self.meta_tensor = tensor
+        assert tensor is None or tensor.is_meta, 'Expected to receive a meta tensor, but got a non-meta tensor'
+        self._meta_tensor = tensor
 
     @property
     def has_meta_tensor(self):
@@ -42,6 +42,19 @@ class ColoProxy(Proxy):
         self._assert_has_meta()
         return self.meta_tensor.dtype
 
+    @property
+    def shape(self):
+        self._assert_has_meta()
+        return self.meta_tensor.shape
+
+    def dim(self):
+        self._assert_has_meta()
+        return self.meta_tensor.dim()
+
+    def size(self, dim: int = None):
+        self._assert_has_meta()
+        return self.meta_tensor.size(dim=dim)
+
     def __len__(self):
         self._assert_has_meta()
         return len(self.meta_tensor)

tests/test_fx/test_coloproxy.py

+import torch
+from colossalai.fx.proxy import ColoProxy
+
+
+def test_coloproxy():
+    # create a dummy node only for testing purpose
+    model = torch.nn.Linear(10, 10)
+    gm = torch.fx.symbolic_trace(model)
+    node = list(gm.graph.nodes)[0]
+
+    # create proxy
+    proxy = ColoProxy(node=node)
+    proxy.meta_tensor = torch.empty(4, 2, device='meta')
+
+    assert len(proxy) == 4
+    assert proxy.shape[0] == 4 and proxy.shape[1] == 2
+    assert proxy.dim() == 2
+    assert proxy.dtype == torch.float32
+    assert proxy.size(0) == 4
+
+
+if __name__ == '__main__':
+    test_coloproxy()
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