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- # Copyright 2019 Huawei Technologies Co., Ltd
- #
- # 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.
- # ==============================================================================
-
- """
- Introduction to dataset/engine:
-
- dataset/engine supports various formats of datasets, including ImageNet, TFData,
- MNIST, Cifar10/100, Manifest, MindRecord, etc. This module could load data in
- high performance and parse data precisely. It also provides the following
- operations for users to preprocess data: shuffle, batch, repeat, map, and zip.
- """
-
- from .datasets import *
- from .iterators import *
- from .serializer_deserializer import serialize, deserialize, show, compare
- from .samplers import *
- from ..core import config
-
- __all__ = ["config", "zip", "ImageFolderDataset", "MnistDataset",
- "MindDataset", "GeneratorDataset", "TFRecordDataset", "CLUEDataset", "CSVDataset",
- "ManifestDataset", "Cifar10Dataset", "Cifar100Dataset", "CelebADataset",
- "VOCDataset", "CocoDataset", "TextFileDataset", "Schema", "DistributedSampler",
- "PKSampler", "RandomSampler", "SequentialSampler", "SubsetRandomSampler", "WeightedRandomSampler"]
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