return llvm::StringRef(*saved_strings_.insert(s).first);
}

// Extracts a TensorProto for a Const op from a GraphDef, given an op_name.
// Returns nullptr on not found or other mismatch.
// This returns a pointer to the actual node within the graph_def so as to
// avoid expensive copies.
const TensorProto* ExtractConstTensorFromGraph(const GraphDef& graph_def,

                     const GraphDefBuilder::Options& opts) {
  if (opts.HaveError()) return nullptr;
  NodeBuilder node_builder(opts.GetNameForOp("Const"), "Const",
                           opts.op_registry());
  TensorProto value;
  value.set_dtype(dtype);
  for (int dim : shape) {
    value.mutable_tensor_shape()->add_dim()->set_size(dim);
  }
  return opts.WithAttr("value", value)
      .WithAttr("dtype", dtype)

      ->set_disable_optimize_for_static_graph(true);
}

void TF_TensorFromProto(const TF_Buffer* from, TF_Tensor* to,
                        TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  tensorflow::TensorProto from_tensor_proto;
  status->status = BufferToMessage(from, &from_tensor_proto);
  if (!status->status.ok()) {
    return;
  }
  status->status =

// CHECK: "tf.TensorProtoFloatTensor"() {bar = #tf_type<tensor_proto : "0x68656C6C6F"> : tensor<2x1x4xf32>} : () -> ()
  "tf.TensorProtoFloatTensor"(){bar = #tf_type<tensor_proto : "0x68656C6C6F"> : tensor<2x1x4xf32>} : () -> ()
// CHECK: "tf.TensorProtoStringTensor"() {bar = #tf_type<tensor_proto : "0x68656C6C6F"> : tensor<2x1x4x!tf_type.string>} : () -> ()
  "tf.TensorProtoStringTensor"(){bar = #tf_type<tensor_proto : "0x68656C6C6F"> : tensor<2x1x4x!tf_type.string>} : () -> ()

    return output_values

  def _read_tensor_array_file(self, file_path):
    tensor_protos = []
    for raw_record in tf_record.tf_record_iterator(file_path, options='ZLIB'):
      tensor_protos.append(
          tensorflow.make_ndarray(tensor_pb2.TensorProto.FromString(raw_record))
      )
    return np.array(tensor_protos)

  @parameterized.named_parameters(
      {
          'testcase_name': 'none',

}

func.func @const() -> tensor<2xi32> {