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[jvm-packages] [pyspark] Make cuDF optional in PySpark package #8469

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[jvm-packages] [pyspark] Make cuDF optional in PySpark package #8469

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5 changes: 5 additions & 0 deletions python-package/xgboost/compat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,11 @@ def lazy_isinstance(instance: Any, module: str, name: str) -> bool:
pandas_concat = None
PANDAS_INSTALLED = False


# cuDF
CUDF_INSTALLED = importlib.util.find_spec("cudf") is not None


# sklearn
try:
from sklearn.base import BaseEstimator as XGBModelBase
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4 changes: 2 additions & 2 deletions python-package/xgboost/spark/data.py
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Expand Up @@ -5,7 +5,7 @@
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix
from xgboost.compat import concat
from xgboost.compat import CUDF_INSTALLED, concat

from xgboost import DataIter, DMatrix, QuantileDMatrix

Expand Down Expand Up @@ -81,7 +81,7 @@ def _fetch(self, data: Optional[Sequence[pd.DataFrame]]) -> Optional[pd.DataFram
if not data:
return None

if self._device_id is not None:
if self._device_id is not None and CUDF_INSTALLED:
import cudf # pylint: disable=import-error
import cupy as cp # pylint: disable=import-error

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