chore: import upstream snapshot with attribution

python/paddle/utils/data/distributed.py

@@ -0,0 +1,43 @@
+# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from paddle.io import DistributedBatchSampler
+
+if TYPE_CHECKING:
+    from collections.abc import Sized
+
+
+class DistributedSampler(DistributedBatchSampler):
+    def __init__(
+        self,
+        dataset: Sized,
+        num_replicas: int | None = None,
+        rank: int | None = None,
+        shuffle: bool = True,
+        seed: int = 0,
+        drop_last: bool = False,
+    ) -> None:
+        super().__init__(
+            dataset,
+            1,
+            num_replicas,
+            rank,
+            shuffle,
+            drop_last,
+            seed,
+        )