code: def normalize(self, v):
      norm_squared = self.inner_product(v, v)
      norm = norm_squared**0.5 + self.stability
      normalized_vectors = [vector / norm for vector in v]
      normalized_vectors = [
          self.nan_to_num(vector) for vector in normalized_vectors
      ]
      return normalized_vectors
  
file_path: H2O/h2o_flexgen/benchmark/third_party/DeepSpeed/deepspeed/runtime/eigenvalue.py
imports: import torch
  from deepspeed.utils import log_dist
  import numpy
  import logging
label_desc: Use image node_id 3 for calling the Eigenvalue obj's underlying member method code with example usage: obj.normalize(v) and returns: normalized_vectors