jadechoghari commited on
Commit
806ce4b
1 Parent(s): 9d656e6

Update ferret_arch.py

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Files changed (1) hide show
  1. ferret_arch.py +37 -2
ferret_arch.py CHANGED
@@ -21,9 +21,44 @@ import torch
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  import torch.nn as nn
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  import torch.nn.functional as F
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  import torch.distributed as dist
 
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- from .multimodal_encoder.builder import build_vision_tower
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- from .multimodal_projector.builder import build_vision_projector
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #This has been modified for hf implementation
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  from .constants import (IGNORE_INDEX, IMAGE_TOKEN_INDEX,
 
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  import torch.nn as nn
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  import torch.nn.functional as F
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  import torch.distributed as dist
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+ import re
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+ from .clip_encoder import CLIPVisionTower, CLIPVisionTowerS2
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+ import os
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+ ## modified add build_vision_tower
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+ def build_vision_tower(vision_tower_cfg, **kwargs):
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+ vision_tower = getattr(vision_tower_cfg, 'mm_vision_tower', getattr(vision_tower_cfg, 'vision_tower', None))
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+ is_absolute_path_exists = os.path.exists(vision_tower)
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+ use_s2 = getattr(vision_tower_cfg, 's2', False)
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+ if is_absolute_path_exists or vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower:
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+ if use_s2:
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+ return CLIPVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs)
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+ else:
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+ return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
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+
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+ raise ValueError(f'Unknown vision tower: {vision_tower}')
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+
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+
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+ # from .multimodal_projector.builder import build_vision_projector
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+ def build_vision_projector(config, delay_load=False, **kwargs):
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+ projector_type = getattr(config, 'mm_projector_type', 'linear')
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+
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+ if projector_type == 'linear':
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+ return nn.Linear(config.mm_hidden_size, config.hidden_size)
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+
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+ mlp_gelu_match = re.match(r'^mlp(\d+)x_gelu$', projector_type)
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+ if mlp_gelu_match:
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+ mlp_depth = int(mlp_gelu_match.group(1))
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+ modules = [nn.Linear(config.mm_hidden_size, config.hidden_size)]
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+ for _ in range(1, mlp_depth):
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+ modules.append(nn.GELU())
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+ modules.append(nn.Linear(config.hidden_size, config.hidden_size))
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+ return nn.Sequential(*modules)
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+
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+ if projector_type == 'identity':
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+ return IdentityMap()
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+
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+ raise ValueError(f'Unknown projector type: {projector_type}')
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  #This has been modified for hf implementation
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  from .constants import (IGNORE_INDEX, IMAGE_TOKEN_INDEX,