def METHOD_NAME(pretrained=False, progress=True, **kwargs):
    """
    Constructs the ReXNet model with width multiplier of 1.0.
    .. note::
        ReXNet model with width multiplier of 1.0 from the `Rethinking Channel Dimensions for Efficient Model Design <https://arxiv.org/pdf/2007.00992.pdf>`_ paper.
    Args:
        pretrained (bool): Whether to download the pre-trained model on ImageNet. Default: ``False``
        progress (bool): If True, displays a progress bar of the download to stderr. Default: ``True``
    """
    model_kwargs = dict(width_mult=1.0, **kwargs)
    return _create_rexnetv1(
        "rexnetv1_1_0", pretrained=pretrained, progress=progress, **model_kwargs
    )