# Copyright 2022 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
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# ============================================================================
"""
Mappable dataset.
"""
from typing import (
Generic,
TypeVar,
)
Tco = TypeVar('Tco', covariant=True)
[文档]class Dataset(Generic[Tco]):
r"""
Mappable Dataset Definition, an abstract class represent Dataset.
All datasets should subclass it which represent a map relation from key to sample.
All subclass should overwrite `__getitem__`, which implement fetch a sample given a key.
Supported Platforms:
``Ascend`` ``GPU``
Examples:
>>> from mindspore_gl.dataloader import Dataset
>>> class MyDataset(Dataset):
>>> def __init__(self, *args, **kwargs):
>>> ...
>>> my_dataset = MyDataset()
"""
def __getitem__(self, index):
raise NotImplementedError