code: def load_batch(emb_file, dim):
      embeddings = np.fromfile(emb_file, dtype=np.float32)
      num_rows = int(embeddings.shape[0] / dim)
      embeddings = embeddings.reshape((num_rows, dim))
      faiss.normalize_L2(embeddings)
      return embeddings
  
file_path: fairseq/examples/criss/mining/mine.py
imports: import argparse
  import glob
  from subprocess import check_call
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: load_batch(emb_file, dim) and returns: embeddings