| 141 | "penultimate" |
| 142 | ] |
| 143 | def __init__(self, arch="ViT-H-14", |
| 144 | version="/opt/data/private/QiuKunpeng/Diffusion/ControlNet/models/CLIP-ViT-H-14-laion2B-s32B-b79K/open_clip_pytorch_model.bin", |
| 145 | device="cuda", max_length=77, |
| 146 | freeze=True, layer="last"): |
| 147 | super().__init__() |
| 148 | assert layer in self.LAYERS |
| 149 | model, _, _ = open_clip.create_model_and_transforms(arch, device=torch.device('cpu'), pretrained=version) |
| 150 | del model.visual |
| 151 | self.model = model |
| 152 | |
| 153 | self.device = device |
| 154 | self.max_length = max_length |
| 155 | if freeze: |
| 156 | self.freeze() |
| 157 | self.layer = layer |
| 158 | if self.layer == "last": |
| 159 | self.layer_idx = 0 |
| 160 | elif self.layer == "penultimate": |
| 161 | self.layer_idx = 1 |
| 162 | else: |
| 163 | raise NotImplementedError() |
| 164 | |
| 165 | def freeze(self): |
| 166 | self.model = self.model.eval() |