r"""ResNeXt-101 32x8d model from `"Aggregated Residual Transformation for Deep Neural Networks" `_
(**kwargs)
| 294 | |
| 295 | |
| 296 | def resnext101_32x8d(**kwargs): |
| 297 | r"""ResNeXt-101 32x8d model from |
| 298 | `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ |
| 299 | """ |
| 300 | kwargs['groups'] = 32 |
| 301 | kwargs['width_per_group'] = 8 |
| 302 | return _resnet('resnext101_32x8d', Bottleneck, [3, 4, 23, 3], **kwargs) |
| 303 | |
| 304 | |
| 305 | def wide_resnet50_2(**kwargs): |