code: def train_knn(self, inputs, batch_size=64):
      self.call_knn(self.knn_func.train, inputs, batch_size)
  
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 InferenceModel obj's underlying member method code with example usage: obj.train_knn(inputs, batch_size) without return types