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=False, progress=True, **kwargs)
| 110 | |
| 111 | |
| 112 | def resnet152(pretrained=False, progress=True, **kwargs): |
| 113 | r"""ResNet-152 model from |
| 114 | `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.pdf>`_ |
| 115 | |
| 116 | Args: |
| 117 | pretrained (bool): If True, returns a model pre-trained on ImageNet |
| 118 | progress (bool): If True, displays a progress bar of the download to stderr |
| 119 | """ |
| 120 | return _resnet('resnet152', Bottleneck, [3, 8, 36, 3], pretrained, progress, |
| 121 | **kwargs) |
| 122 | |
| 123 | |
| 124 | def resnext50_32x4d(pretrained=False, progress=True, **kwargs): |