# Source code for nlp_architect.nn.torch.data.dataset

    # ******************************************************************************
    # Copyright 2017-2019 Intel Corporation
    #
    # 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 torch

    class ParallelDataset(torch.utils.data.Dataset):
        def __init__(self, *datasets):
            self.datasets = datasets

        def __getitem__(self, i):
            return tuple(d[i] for d in self.datasets)

        def __len__(self):
            return min(len(d) for d in self.datasets)