[CI] Use latest RAPIDS; Pandas 2.0 compatibility fix (dmlc#10175)

* [CI] Update RAPIDS to latest stable

* [CI] Use rapidsai stable channel; fix syntax errors in Dockerfile.gpu

* Don't combine astype() with loc()

* Work around dmlc#10181

* Fix formatting

* Fix test

---------

Co-authored-by: hcho3 <hcho3@users.noreply.github.com>
Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>

python-package/xgboost/data.py

@@ -909,9 +909,19 @@ def _transform_cudf_df(
     enable_categorical: bool,
 ) -> Tuple[ctypes.c_void_p, list, Optional[FeatureNames], Optional[FeatureTypes]]:
     try:
-        from cudf.api.types import is_categorical_dtype
+        from cudf.api.types import is_bool_dtype, is_categorical_dtype
     except ImportError:
         from cudf.utils.dtypes import is_categorical_dtype
+        from pandas.api.types import is_bool_dtype
+
+    # Work around https://github.com/dmlc/xgboost/issues/10181
+    if _is_cudf_ser(data):
+        if is_bool_dtype(data.dtype):
+            data = data.astype(np.uint8)
+    else:
+        data = data.astype(
+            {col: np.uint8 for col in data.select_dtypes(include="bool")}
+        )
 
     if _is_cudf_ser(data):
         dtypes = [data.dtype]

tests/python-gpu/test_from_cudf.py

@@ -71,15 +71,6 @@ def _test_from_cudf(DMatrixT):
     assert dtrain.num_col() == 1
     assert dtrain.num_row() == 5
 
-    # Boolean is not supported.
-    X_boolean = cudf.DataFrame({"x": cudf.Series([True, False])})
-    with pytest.raises(Exception):
-        dtrain = DMatrixT(X_boolean)
-
-    y_boolean = cudf.DataFrame({"x": cudf.Series([True, False, True, True, True])})
-    with pytest.raises(Exception):
-        dtrain = DMatrixT(X_boolean, label=y_boolean)
-
 
 def _test_cudf_training(DMatrixT):
     import pandas as pd