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Running
on
Zero
File size: 942 Bytes
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import torch
import torch.nn as nn
import math
from transformers.models.clip.modeling_clip import CLIPVisionModel
class PoolerProjector(nn.Module):
def __init__(self, config, vision_cfg):
super().__init__()
self._config = config
self.hw = vision_cfg.image_size // vision_cfg.patch_size
self.conv_pool = nn.Conv2d(config.mm_hidden_size, config.hidden_size, kernel_size=2, stride=2)
self.proj = nn.Sequential(
nn.GELU(),
nn.Linear(config.hidden_size, config.hidden_size),
)
def forward(self, x, *args, **kwargs):
height = width = self.hw
assert height * width == x.shape[1]
x = x.view(x.shape[0], height, width, -1).permute(0, 3, 1, 2)
x = self.conv_pool(x)
x = x.flatten(2).transpose(1, 2)
x = self.proj(x)
return x
@property
def config(self):
return {"mm_projector_type": "pooler"}
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