code: def update_image_classifier(
      opts,
      image_classifier: nn.Module,
      projection_dim: int,
      *args,
      **kwargs,
  ) -> nn.Module:
      in_features = get_in_feature_dimension(image_classifier)
      new_img_classifier = build_image_projection_head(
          opts, in_dim=in_features, out_dim=projection_dim
      )
      return new_img_classifier
  
imports: import argparse
  import math
  from typing import Dict, Optional
  import torch
  from torch import Tensor, nn
  from cvnets.image_projection_layers import build_image_projection_head
  from cvnets.image_projection_layers.base_image_projection import get_in_feature_dimension
  from cvnets.models import MODEL_REGISTRY, BaseAnyNNModel, get_model
  from cvnets.models.classification.base_image_encoder import BaseImageEncoder
  from cvnets.models.multi_modal_img_text.base_multi_modal_img_text import BaseMultiModalImageText
  from cvnets.text_encoders import BaseTextEncoder, build_text_encoder
  from utils import logger
label_desc: Use image node_id 1 for calling a global function with example usage: update_image_classifier(opts, image_classifier, projection_dim) and returns: new_img_classifier