docstr: L2 normalization
docstr_tok: ["L2","normalization"]
code: def norm_l2(x):  # type: ignore
      """L2 normalization"""
      xn = np.square(x).sum(axis=1)
      np.sqrt(xn, out=xn)
      norm = np.maximum(xn.reshape((x.shape[0], -1)), 1e-30)
      return x / norm
  
file_path: onnx/onnx/reference/ops/aionnxml/op_normalizer.py
imports: import numpy
  from onnx.reference.ops.aionnxml._op_run_aionnxml import OpRunAiOnnxMl
label_desc: Use image node_id 3 for calling the Normalizer obj's underlying member method code with example usage: obj.norm_l2(x) and returns: unknown