c74883931cb40748eaaccce9fd1117303c41a881,onnx_tf/handlers/backend/equal.py,Equal,args_check,#Any#Any#,21

Before Change

        tf.qint32, tf.string, tf.bool, tf.complex128
    ]
    x = kwargs["tensor_dict"][node.inputs[0]]
    if x.dtype not in supported_dtype:
      exception.OP_UNSUPPORTED_EXCEPT(
          "Equal inputs in " + str(x.dtype) + " which", "Tensorflow")

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

After Change

    // throw an error if the data type is not natively supported by
    // Tensorflow, cannot be safely cast, and auto_cast option is False
    if x.dtype in cls.cast_map and cls.cast_map[x.dtype] is None:
      exception.DTYPE_NOT_CAST_EXCEPT(
          "Equal input " + node.inputs[0] + " with data type "" +
          data_type.tf_to_np_str(x.dtype) + """,
          data_type.tf_to_np_str_list(cls.supported_types))

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

    def dtype_cast(x, y):

Instances