r"""ResNeXt-50 32x4d model from `"Aggregated Residual Transformation for Deep Neural Networks" `_
(**kwargs)
| 285 | |
| 286 | |
| 287 | def resnext50_32x4d(**kwargs): |
| 288 | r"""ResNeXt-50 32x4d model from |
| 289 | `"Aggregated Residual Transformation for Deep Neural Networks" <https://arxiv.org/pdf/1611.05431.pdf>`_ |
| 290 | """ |
| 291 | kwargs['groups'] = 32 |
| 292 | kwargs['width_per_group'] = 4 |
| 293 | return _resnet('resnext50_32x4d', Bottleneck, [3, 4, 6, 3], **kwargs) |
| 294 | |
| 295 | |
| 296 | def resnext101_32x8d(**kwargs): |