code: def softmax_zero(values: np.ndarray) -> np.ndarray:
      """Modifications in place."""
      if len(values.shape) == 1:
          compute_softmax_zero(values)
          return values
      for row in values:
          compute_softmax_zero(row)
      return values
  
file_path: onnx/onnx/reference/ops/aionnxml/_common_classifier.py
imports: import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: softmax_zero(values) and returns: values, values