code: def generate_embeddings(inputs):
      return model(inputs.to(device)).detach().cpu().numpy()
  
file_path: pgvector-python/examples/pytorch_image_search.py
imports: import matplotlib.pyplot
  from pgvector.psycopg import register_vector
  import psycopg
  import tempfile
  import torch
  import torchvision
  from tqdm import tqdm
label_desc: Use image node_id 1 for calling a global function with example usage: generate_embeddings(inputs) and returns: model