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