@test_util.deprecated_graph_mode_only
  def test_create_feed_dict_from_input_data(self):
    signature_def = meta_graph_pb2.SignatureDef(
        inputs={'input_tensor': meta_graph_pb2.TensorInfo(name='input:0')}
    )
    rng = np.random.default_rng(seed=14)

    input_tensor_value = rng.random(size=(2, 2))
    sample = {'input_tensor': input_tensor_value}

  SavedModelBundle saved_model_bundle;
  SignatureDef signature_def;

  TensorInfo& in = (*signature_def.mutable_inputs())["input_arg"];
  in.mutable_composite_tensor()->add_components()->set_name("input1:0");
  in.mutable_composite_tensor()->add_components()->set_name("input2:0");

  TensorInfo& out = (*signature_def.mutable_outputs())["output_arg"];

def Test():

  x = tf.placeholder(dtype=tf.float32, shape=[None])
  batch_size = tf.shape(x)[0]
  r = tf.convert_to_tensor([batch_size, 1])

  tensor_info_x = meta_graph_pb2.TensorInfo(
      name=x.name, dtype=tf.as_dtype(x.dtype).as_datatype_enum)
  tensor_info_r = tf.compat.v1.saved_model.utils.build_tensor_info(r)

  return {

                                const StringRef tensor_name) {
  AssetFileDef asset_file_def{};
  asset_file_def.set_filename(MaybeStripAssetDirectoryPrefix(filename).str());

  tensorflow::TensorInfo tensor_info{};
  tensor_info.set_name(tensor_name.str());
  *asset_file_def.mutable_tensor_info() = tensor_info;

  return asset_file_def;
}

// Returns a list of "tf.entry_function" attribute's "inputs" comma-split

#include "tensorflow/core/protobuf/meta_graph.pb.h"

namespace tensorflow {

namespace {

// Gets tensor names from tensor_info and inserts them into the set of tensor
// names.
void GetTensorNamesFromTensorInfo(const TensorInfo& tensor_info,
                                  std::unordered_set<string>* tensor_names) {
  if (tensor_info.has_coo_sparse()) {
    // If the tensor is sparse we have to add all three tensors of the sparse

    context.getOrLoadDialect(name);
}

absl::StatusOr<std::string> GetDenseTensorNameFromTensorInfo(
    const TensorInfo& tensor_info) {
  // TODO(b/184675681): Support other encoding cases.
  //
  // TODO(b/184679394): Add unit test for this check.
  TF_RET_CHECK(tensor_info.encoding_case() == tensorflow::TensorInfo::kName)
      << "Only dense tensor is supported, but got encoding case "
      << tensor_info.encoding_case();