# Copyright (c) 2020 Kwot Sin Lee
# This code is licensed under MIT license
# (https://github.com/kwotsin/mimicry/blob/master/LICENSE)
# ------------------------------------------------------------------------------
# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
#
# Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#
# This file has been modified by Megvii ("Megvii Modifications").
# All Megvii Modifications are Copyright (C) 2014-2019 Megvii Inc. All rights reserved.
# ------------------------------------------------------------------------------
from .. import gan


class DCGANBaseGenerator(gan.BaseGenerator):
    r"""
    ResNet backbone generator for ResNet DCGAN.

    Attributes:
        nz (int): Noise dimension for upsampling.
        ngf (int): Variable controlling generator feature map sizes.
        bottom_width (int): Starting width for upsampling generator output to an image.
        loss_type (str): Name of loss to use for GAN loss.
    """
    def __init__(self, nz, ngf, bottom_width, loss_type='ns', **kwargs):
        super().__init__(nz=nz,
                         ngf=ngf,
                         bottom_width=bottom_width,
                         loss_type=loss_type,
                         **kwargs)


class DCGANBaseDiscriminator(gan.BaseDiscriminator):
    r"""
    ResNet backbone discriminator for ResNet DCGAN.

    Attributes:
        ndf (int): Variable controlling discriminator feature map sizes.
        loss_type (str): Name of loss to use for GAN loss.
    """
    def __init__(self, ndf, loss_type='ns', **kwargs):
        super().__init__(ndf=ndf, loss_type=loss_type, **kwargs)