def resnet152(pretrained=False, progress=True, **kwargs):
    'ResNet-152 model from\n    `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_\n\n    Args:\n        pretrained (bool): If True, returns a model pre-trained on ImageNet\n        progress (bool): If True, displays a progress bar of the download to stderr\n    '
    return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, **kwargs)
ResNet-152 model from
`"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_

Args:
    pretrained (bool): If True, returns a model pre-trained on ImageNet
    progress (bool): If True, displays a progress bar of the download to stderr
def resnet152(pretrained=False, progress=True, **kwargs):
    'ResNet-152 model from\n    `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_\n\n    Args:\n        pretrained (bool): If True, returns a model pre-trained on ImageNet\n        progress (bool): If True, displays a progress bar of the download to stderr\n    '
    return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, **kwargs)