def densenet161(pretrained=False, **kwargs):
model = DenseNet(num_init_features=<NUM_LIT>, growth_rate=<NUM_LIT>, block_config=(<NUM_LIT:6>, <NUM_LIT:12>, <NUM_LIT>, <NUM_LIT>),<EOL>**kwargs)<EOL>if pretrained:<EOL><INDENT>_load_state_dict(model, model_urls['<STR_LIT>'])<EOL><DEDENT>return model<EOL>
r"""Densenet-161 model from
    `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet