class_docstr: EfficientViT backbone model.
class_docstr_tok: ["EfficientViT","backbone","model","."]
docstr: Extract features from the input images.
  
  Args:
      images: input images tensor of shape :math:`(B, C, H, W)`.
  
  Returns:
      Dict[str, Tensor]: a dictionary containing the features.
docstr_tok: ["Extract","features","from","the","input","images",".","Args",":","images",":","input","images","tensor","of","shape",":","math",":","`","(","B",",","C",",","H",",","W",")","`",".","Returns",":","Dict","[","str",",","Tensor","]",":","a","dictionary","containing","the","features","."]
code: def forward(self, images: Tensor) -> Tensor:
      """Extract features from the input images.
  
      Args:
          images: input images tensor of shape :math:`(B, C, H, W)`.
  
      Returns:
          Dict[str, Tensor]: a dictionary containing the features.
      """
      feats = self.backbone(images)
      return feats
  
file_path: kornia/kornia/contrib/models/efficient_vit/model.py
imports: from __future__ import annotations
  from dataclasses import dataclass, field
  from typing import Literal
  import torch
  from kornia.contrib.models.base import ModelBase
  from kornia.contrib.models.efficient_vit import backbone
  from kornia.core import Tensor
label_desc: Use image node_id 3 for calling the EfficientViT obj's underlying member method code with example usage: obj.forward(images) and returns: feats