r"""ResNet-152 model from `"Deep Residual Learning for Image Recognition" `_. 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
(pretrained: bool = False, progress: bool = True, **kwargs: Any)
| 314 | |
| 315 | |
| 316 | def resnet152(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: |
| 317 | r"""ResNet-152 model from |
| 318 | `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_. |
| 319 | |
| 320 | Args: |
| 321 | pretrained (bool): If True, returns a model pre-trained on ImageNet |
| 322 | progress (bool): If True, displays a progress bar of the download to stderr |
| 323 | """ |
| 324 | return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, |
| 325 | **kwargs) |
| 326 | |
| 327 | |
| 328 | def resnext50_32x4d(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet: |