Fix tests for cudf 21.10

mars/dataframe/reduction/aggregation.py

@@ -710,7 +710,12 @@ def _wrap_df(cls, op, value, index=None):
             elif not isinstance(value, xdf.DataFrame):
                 new_index = None if not op.gpu else getattr(value, "index", None)
                 dtype = getattr(value, "dtype", None)
-                value = xdf.DataFrame(value, columns=index, index=new_index)
+                if xdf is pd:
+                    value = xdf.DataFrame(value, columns=index, index=new_index)
+                else:  # pragma: no cover
+                    value = xdf.DataFrame(value)
+                    value.index = new_index
+                    value.columns = index
             else:
                 return value
 

mars/serialization/cuda.py

@@ -14,6 +14,8 @@
 
 from typing import Any, List, Dict
 
+import pandas as pd
+
 from ..utils import lazy_import
 from .core import Serializer, buffered
 
@@ -49,13 +51,57 @@ def deserialize(self, header: Dict, buffers: List, context: Dict):
 class CudfSerializer(Serializer):
     serializer_name = "cudf"
 
+    @staticmethod
+    def _get_ext_index_type(index_obj):
+        import cudf
+
+        multi_index_type = None
+        if isinstance(index_obj, pd.MultiIndex):
+            multi_index_type = "pandas"
+        elif isinstance(index_obj, cudf.MultiIndex):
+            multi_index_type = "cudf"
+
+        if multi_index_type is None:
+            return None
+        return {
+            "index_type": multi_index_type,
+            "names": list(index_obj.names),
+        }
+
+    @staticmethod
+    def _apply_index_type(obj, attr, header):
+        import cudf
+
+        multi_index_cls = (
+            pd.MultiIndex if header["index_type"] == "pandas" else cudf.MultiIndex
+        )
+        original_index = getattr(obj, attr)
+        if isinstance(original_index, (pd.MultiIndex, cudf.MultiIndex)):
+            return
+        new_index = multi_index_cls.from_tuples(original_index, names=header["names"])
+        setattr(obj, attr, new_index)
+
     def serialize(self, obj: Any, context: Dict):
-        return obj.device_serialize()
+        header, buffers = obj.device_serialize()
+        if hasattr(obj, "columns"):
+            header["_ext_columns"] = self._get_ext_index_type(obj.columns)
+        if hasattr(obj, "index"):
+            header["_ext_index"] = self._get_ext_index_type(obj.index)
+        return header, buffers
 
     def deserialize(self, header: Dict, buffers: List, context: Dict):
         from cudf.core.abc import Serializable
 
-        return Serializable.device_deserialize(header, buffers)
+        col_header = header.pop("_ext_columns", None)
+        index_header = header.pop("_ext_index", None)
+
+        result = Serializable.device_deserialize(header, buffers)
+
+        if col_header is not None:
+            self._apply_index_type(result, "columns", col_header)
+        if index_header is not None:
+            self._apply_index_type(result, "index", index_header)
+        return result
 
 
 if cupy is not None:

mars/serialization/tests/test_serial.py

@@ -168,15 +168,18 @@ def test_cupy(np_val):
 
 @require_cudf
 def test_cudf():
-    test_df = cudf.DataFrame(
-        pd.DataFrame(
-            {
-                "a": np.random.rand(1000),
-                "b": np.random.choice(list("abcd"), size=(1000,)),
-                "c": np.random.randint(0, 100, size=(1000,)),
-            }
-        )
+    raw_df = pd.DataFrame(
+        {
+            "a": np.random.rand(1000),
+            "b": np.random.choice(list("abcd"), size=(1000,)),
+            "c": np.random.randint(0, 100, size=(1000,)),
+        }
     )
+    test_df = cudf.DataFrame(raw_df)
+    cudf.testing.assert_frame_equal(test_df, deserialize(*serialize(test_df)))
+
+    raw_df.columns = pd.MultiIndex.from_tuples([("a", "a"), ("a", "b"), ("b", "c")])
+    test_df = cudf.DataFrame(raw_df)
     cudf.testing.assert_frame_equal(test_df, deserialize(*serialize(test_df)))