code: def forward_db(self, batch_data):
      imgs = torch.Tensor(batch_data).cuda()
      imgs.div_(255)
      feat = self.model(imgs)
      feat = feat.reshape([self.batch_size, 2 * feat.shape[1]])
      return feat.cpu().numpy()
  
file_path: insightface/recognition/idmmd/evaluate/eval_lamp_112.py
imports: import numpy
  import os, sys
  import argparse
  from PIL import Image
  import torch
  from network.lightcnn112 import LightCNN_29Layers
  from evaluate import evaluate2
label_desc: Use image node_id 3 for calling the Embedding obj's underlying member method code with example usage: obj.forward_db(batch_data) and returns: feat