c74883931cb40748eaaccce9fd1117303c41a881,onnx_tf/handlers/backend/cumsum.py,CumSum,args_check,#Any#Any#,19

Before Change

class CumSum(BackendHandler):
  @classmethod
  def args_check(cls, node, **kwargs):
    supported_dtype = [
        tf.bfloat16, tf.half, tf.float32, tf.float64, tf.uint8, tf.uint16,
        tf.int8, tf.int16, tf.int32, tf.int64, tf.complex64, tf.complex128
    ]
    x = kwargs["tensor_dict"][node.inputs[0]]
    if x.dtype not in supported_dtype:
      exception.OP_UNSUPPORTED_EXCEPT(
          "CumSum input in " + str(x.dtype) + " which", "Tensorflow")

  @classmethod
  def version_11(cls, node, **kwargs):
    tensor_dict = kwargs["tensor_dict"]
    x = tensor_dict[node.inputs[0]]

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(
          "CumSum 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 version_11(cls, node, **kwargs):
    x = kwargs["tensor_dict"][node.inputs[0]]

Instances