std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));
  TF_CHECK_OK(root.ToGraph(graph.get()));

  GraphShapeInfo shape_info;
  TF_ASSERT_OK(InferShapes(graph.get(), /*arg_shapes=*/{},
                           /*fnlib_def=*/nullptr, &shape_info));

  std::map<string, std::vector<PartialTensorShape>> expected = {

  TF_Status* status = TF_NewStatus();
  TF_RegisterOpDefinition(builder, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TF_ASSERT_OK(
      shape_inference::ShapeInferenceTestutil::InferShapes(op, "[1,2]", "in0"));
  TF_DeleteStatus(status);
}

TEST(OpsTest, TestShapeInference_UnknownShape) {
  ShapeInferenceTestOp op("UnknownShapeOp");

// `arg_shapes`: user given map from the `index` to shapes of this
// node, where `index` is the `index` attribute of `_Arg` op or `_index`
// attribute of `Placeholder` op.
Status InferShapes(Graph* graph, const std::map<int, InferredShape>& arg_shapes,
                   const tensorflow::FunctionLibraryDefinition* fnlib_def,
                   GraphShapeInfo* shape_info);

              << DataTypeString(output.handle_type) << " handle_shape "
              << output.handle_shape.DebugString();
    }
  }
  return absl::OkStatus();
}

}  // namespace

Status InferShapes(Graph* graph, const std::map<int, InferredShape>& arg_shapes,
                   const tensorflow::FunctionLibraryDefinition* fnlib_def,
                   GraphShapeInfo* shape_info) {

Status PerformStaticShapeInferenceBeforeEncapsulation(Graph* g) {
  // Perform shape inference.
  std::map<int, InferredShape> arg_shapes;
  GraphShapeInfo shape_info;
  TF_RETURN_IF_ERROR(
      InferShapes(g, arg_shapes, /*fnlib_def=*/nullptr, &shape_info));

  // Add attribute for output shapes.
  auto node_name_index = g->BuildNodeNameIndex();
  for (auto iter : shape_info) {