# -*- coding: utf8 -*-
#   Copyright 2019 JSALT2019 Distant Supervision Team
#
#   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 torchvision import datasets, transforms


class Dataset(datasets.MNIST):
    num_classes = 10

    def __init__(self, train):
        super(Dataset, self).__init__(
            'data/pytorch', train=train, download=True,
            transform=transforms.Compose([
               transforms.ToTensor(),
               transforms.Normalize((0.1307,), (0.3081,))
            ]))
