58ace0a10f2859a7bfbb9b56238ba47e4175f5ac,onnx_tf/handlers/backend/min.py,Min,_common,#Any#Any#,17

Before Change

  @classmethod
  def _common(cls, node, **kwargs):
    values = [kwargs["tensor_dict"][inp] for inp in node.inputs]
    return [
        cls.make_tensor_from_onnx_node(
            node, inputs=[tf.stack(values)], **kwargs)
    ]

  @classmethod
  def version_1(cls, node, **kwargs):
    return cls._common(node, **kwargs)

After Change

    values = [kwargs["tensor_dict"][inp] for inp in node.inputs]
    dtype = values[0].dtype
    if dtype in cls.cast_map:
      values = [tf.cast(v, cls.cast_map[dtype]) for v in values]
    result = values[0]
    for i in range(1, len(values)):
      result = tf.minimum(result, values[i])
    return [tf.cast(result, dtype) if dtype in cls.cast_map else result]

  @classmethod
  def version_1(cls, node, **kwargs):
    return cls._common(node, **kwargs)

Instances