let arguments = (ins
    TF_StrTensor:$serialized,
    TF_StrTensor:$names,
    Variadic<TF_StrTensor>:$sparse_keys,
    Variadic<TF_StrTensor>:$dense_keys,
    Variadic<TensorOf<[TF_Float32, TF_Int64, TF_Str]>>:$dense_defaults,

    TF_ShapeAttrArray:$dense_shapes
  );

  let results = (outs
    Variadic<TF_Int64Tensor>:$sparse_indices,                           // len(sparse_types)

  // consistency of the argument and result types.

  // Validate dense variadic input and output lengths.
  // NOTE(mrry): The Tdense attr is derived from dense_defaults, so we
  // do not need to validate dense_defaults.
  auto dense_types_count =
      std::distance(op.getTdense().begin(), op.getTdense().end());
  auto dense_values_count =

func.func @main(%serialized: tensor<32x!tf_type.string>) -> (tensor<?x2xi64>) attributes {tf.entry_function = {inputs = "input0", outputs = "ParseExample/ParseExampleV2"}} {
  %dense_default_0 = "tf.Const"() {device = "/device:CPU:0", dtype = f32, value = dense<[]> : tensor<0xf32>} : () -> tensor<0xf32>
  %dense_default_1 = "tf.Const"() {device = "/device:CPU:0", dtype = f32, value = dense<[]> : tensor<0xf32>} : () -> tensor<0xf32>