# Source code for nlp_architect.nn.torch

    # ******************************************************************************
    # 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 random
    import time

    import numpy as np
    import torch

    def setup_backend(no_cuda):
        """Setup backend according to selected backend and detected configuration
        """
        device = torch.device("cuda" if torch.cuda.is_available() and not no_cuda else "cpu")
        if torch.cuda.is_available() and not no_cuda:
            device = torch.device("cuda")
            n_gpu = torch.cuda.device_count()
        else:
            device = torch.device("cpu")
            n_gpu = 0
        return device, n_gpu

    def set_seed(seed, n_gpus=None):
        """set and return seed
        """
        if seed == -1:
            seed = int(time.time())
        random.seed(seed)
        np.random.seed(seed)
        torch.manual_seed(seed)
        if n_gpus is not None and n_gpus > 0:
            torch.cuda.manual_seed_all(seed)
        return seed