number_attr: "Nsparse"
        }
        input_arg {
          name: "dense_keys"
          type: DT_STRING
          number_attr: "Ndense"
        }
        input_arg {
          name: "dense_defaults"
          type_list_attr: "Tdense"
        }
        output_arg {
          name: "sparse_indices"
          type: DT_INT64
          number_attr: "Nsparse"
        }
        output_arg {

  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>

  %sparse_keys: tensor<0x!tf_type.string>,
  %dense_keys: tensor<1x!tf_type.string>,
  %ragged_keys: tensor<0x!tf_type.string>,
  %dense_default: tensor<0xi64>) -> tensor<?xi64> {

  %dense_value =
    "tf.ParseExampleV2"(%serialized, %names, %sparse_keys, %dense_keys, %ragged_keys, %dense_default)
    // CHECK: Tdense = [i64]
    // CHECK-SAME: dense_shapes = [#corert.shape<>]

// CHECK-LABEL: func @testParseExampleV2DenseOnlyValid
func.func @testParseExampleV2DenseOnlyValid(%serialized: tensor<32x!tf_type.string>, %names : tensor<32x!tf_type.string>, %dense_keys : tensor<2x!tf_type.string>, %dense_default_0 : tensor<?xf32>, %dense_default_1 : tensor<?xf32>) -> (tensor<32xf32>) {