code: def createDenseInputsSchema(self):
      return text_format.Parse(
          """
          tensor_representation_group {
            key: ""
            value {
              tensor_representation {
                key: "input_1"
                value {
                  dense_tensor {
                    column_name: "input_1"
                    shape { dim { size: 1 } }
                  }
                }
              }
              tensor_representation {
                key: "input_2"
                value {
                  dense_tensor {
                    column_name: "input_2"
                    shape { dim { size: 1 } }
                  }
                }
              }
            }
          }
          feature {
            name: "input_1"
            type: FLOAT
          }
          feature {
            name: "input_2"
            type: FLOAT
          }
          feature {
            name: "non_model_feature"
            type: INT
          }
          """,
          schema_pb2.Schema(),
      )
  
imports: import tempfile
  import unittest
  from absl.testing import parameterized
  import apache_beam
  from apache_beam.testing import util
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.eval_saved_model import testutil
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
  from tensorflow_model_analysis.utils import util
  from tfx_bsl.tfxio import tf_example_record
  from google.protobuf import text_format
  from tensorflow.core.protobuf import saved_model_pb2
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 1 for calling the ModelUtilTest obj's underlying member method code with example usage: obj.createDenseInputsSchema() and returns: text_format