code: def encode_images(self, images):
      image_features = self.get_model().get_vision_tower()(images)
      image_features = self.get_model().mm_projector(image_features)
      return image_features
  
file_path: llmga/llmga/llava/model/llava_arch.py
imports: from abc import ABC, abstractmethod
  import torch
  import torch.nn
  from .multimodal_encoder.builder import build_vision_tower
  from llmga.llava.constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_PATCH_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, DEFAULT_OUTPUT_START_TOKEN, DEFAULT_OUTPUT_END_TOKEN
label_desc: Use image node_id 3 for calling the LlavaMetaForCausalLM obj's underlying member method code with example usage: obj.encode_images(images) and returns: image_features