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- # Copyright (c) 2021 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.
- import six
- import sys
- from paddle.io import DataLoader
- class BaseDataLoader(object):
- def __init__(self, dataset, batch_sampler, use_shared_memory):
- self._batch_transforms = dataset.batch_transforms
- self._batch_sampler = batch_sampler
- self.dataset = dataset
- self.dataloader = DataLoader(
- dataset=self.dataset,
- batch_sampler=self._batch_sampler,
- collate_fn=self._batch_transforms,
- num_workers=self.dataset.num_workers,
- return_list=True,
- use_shared_memory=use_shared_memory)
- self.loader = iter(self.dataloader)
- def __call__(self):
- return self
- def __len__(self):
- return len(self._batch_sampler)
- def __iter__(self):
- return self
- def __next__(self):
- try:
- return next(self.loader)
- except StopIteration:
- self.loader = iter(self.dataloader)
- six.reraise(*sys.exc_info())
- def next(self):
- # python2 compatibility
- return self.__next__()
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