| import torch |
| import torch.nn as nn |
| from .eva_vit import create_eva_vit_g, _cfg |
| from .processor import ImageTrainProcessor, ImageEvalProcessor |
|
|
|
|
| class EVAVisionTower(nn.Module): |
| def __init__(self, vision_tower, args, delay_load=False): |
| super().__init__() |
|
|
| self.is_loaded = False |
|
|
| self.vision_tower_name = vision_tower |
| self.select_layer = args.mm_vision_select_layer |
| self.select_feature = getattr(args, 'mm_vision_select_feature', 'patch') |
|
|
| if not delay_load: |
| self.load_model() |
| else: |
| self.cfg_only = _cfg() |
|
|
| def load_model(self): |
| self.image_processor = ImageTrainProcessor() |
| self.image_eval_processor = ImageEvalProcessor() |
| self.vision_tower = create_eva_vit_g( |
| img_size=224, drop_path_rate=0, use_checkpoint=False, precision="fp16" |
| ) |
| |
|
|
| self.is_loaded = True |
|
|
| def feature_select(self, image_forward_outs, select_feature='patch'): |
| image_features = image_forward_outs[self.select_layer] |
| if select_feature == 'patch': |
| image_features = image_features[:, 1:] |
| elif select_feature == 'cls_patch': |
| image_features = image_features |
| else: |
| raise ValueError(f'Unexpected select feature: {self.select_feature}') |
| return image_features |
|
|
| @torch.no_grad() |
| def forward(self, images, select_feature='patch'): |
| if type(images) is list: |
| image_features = [] |
| for image in images: |
| image_forward_out = self.vision_tower.get_intermediate_layers(image.to(device=self.device, dtype=self.dtype).unsqueeze(0),) |
| image_feature = self.feature_select(image_forward_out, select_feature).to(image.dtype) |
| image_features.append(image_feature) |
| else: |
| image_forward_outs = self.vision_tower.get_intermediate_layers(images.to(device=self.device, dtype=self.dtype)) |
| image_features = self.feature_select(image_forward_outs, select_feature).to(images.dtype) |
|
|
| return image_features |
|
|
| @property |
| def dummy_feature(self): |
| return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) |
|
|
| @property |
| def dtype(self): |
| return self.vision_tower.cls_token.dtype |
|
|
| @property |
| def device(self): |
| return self.vision_tower.cls_token.device |
|
|
| @property |
| def config(self): |
| if self.is_loaded: |
| return self.vision_tower.config |
| else: |
| return self.cfg_only |
|
|
| @property |
| def hidden_size(self): |
| return self.vision_tower.num_features |
|
|
| @property |
| def num_patches(self): |
| return (self.config.image_size // self.config.patch_size) ** 2 |
