code: def train(self, embeddings):
      self.index = self.index_init_fn(embeddings.shape[1])
      self.add(c_f.numpy_to_torch(embeddings).cpu())
  
imports: import numpy
  import torch
  from ..distances import BatchedDistance, CosineSimilarity
  from .None import common_functions
label_desc: Use image node_id 3 for calling the FaissKNN obj's underlying member method code with example usage: obj.train(embeddings) without return types