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# Based on https://github.com/haotian-liu/LLaVA. | |
import torch | |
import torch.nn as nn | |
from transformers import CLIPVisionModel, CLIPImageProcessor, CLIPVisionConfig | |
class CLIPVisionTower(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 = CLIPVisionConfig.from_pretrained(self.vision_tower_name) | |
def load_model(self): | |
self.image_processor = CLIPImageProcessor.from_pretrained(self.vision_tower_name) | |
self.vision_tower = CLIPVisionModel.from_pretrained(self.vision_tower_name) | |
self.vision_tower.requires_grad_(False) | |
self.is_loaded = True | |
def feature_select(self, image_forward_outs): | |
image_features = image_forward_outs.hidden_states[self.select_layer] | |
if self.select_feature == 'patch': | |
image_features = image_features[:, 1:] | |
elif self.select_feature == 'cls_patch': | |
image_features = image_features | |
else: | |
raise ValueError(f'Unexpected select feature: {self.select_feature}') | |
return image_features | |
def forward(self, images): | |
if type(images) is list: | |
image_features = [] | |
for image in images: | |
image_forward_out = self.vision_tower(image.to(device=self.device, dtype=self.dtype).unsqueeze(0), output_hidden_states=True) | |
image_feature = self.feature_select(image_forward_out).to(image.dtype) | |
image_features.append(image_feature) | |
else: | |
image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) | |
image_features = self.feature_select(image_forward_outs).to(images.dtype) | |
return image_features | |
def dummy_feature(self): | |
return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) | |
def dtype(self): | |
return self.vision_tower.dtype | |
def device(self): | |
return self.vision_tower.device | |
def config(self): | |
if self.is_loaded: | |
return self.vision_tower.config | |
else: | |
return self.cfg_only | |
def hidden_size(self): | |
return self.config.hidden_size | |
def num_patches(self): | |
return (self.config.image_size // self.config.patch_size) ** 2 | |