docstr: L1 normalization
docstr_tok: ["L1","normalization"]
code: def norm_l1(x):  # type: ignore
      """L1 normalization"""
      div = np.abs(x).sum(axis=1).reshape((x.shape[0], -1))
      return x / np.maximum(div, 1e-30)
  
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 2 for calling the Normalizer obj's underlying member method code with example usage: obj.norm_l1(x) and returns: unknown