return addExceptionToResult(result, e);
        }

        eventCatapult.fire(ExecutionEvent.Type.ProjectDiscoveryStarted, session, null);

        Result<? extends ProjectDependencyGraph> graphResult = buildGraph(session);

        if (graphResult.hasErrors()) {
            return addExceptionToResult(
                    result, graphResult.getProblems().iterator().next().getException());
        }

        try {

                                           arg.name(), "_0}");
                      }
                    }));

  string fuzz_class_def = strings::StrCat(
      class_signature_str, "  void BuildGraph(const Scope& scope) override {\n",
      build_graph_body, constructor_call_str, "  }\n", fuzz_impl_signature_str,
      run_inputs_str, "  }\n", "};\n");

  return fuzz_class_def;
}

  x = value
  y = value
  math_ops.add(x, y, name='x_y_sum')

  x = value
  y = value
  math_ops.add(x, y, name='x_y_sum')

  array_ops.identity(updates, name='result')


def write_graph(build_graph, out_dir):
  """Build a graph using build_graph and write it out."""
  g = ops.Graph()
  with g.as_default():
    build_graph(out_dir)
    filename = os.path.join(out_dir, 'test_graph_%s.pb' % build_graph.__name__)
    with open(filename, 'wb') as f:
      f.write(
          six.ensure_binary(

# Checks that source debug information is used in the output error message.
# CHECK: error: 'tf.Add' op operands don't have broadcast-compatible shapes
# CHECK: math_ops.add(x, y, name='x_y_sum')
# CHECK: build_graph(out_dir)
node: {
  name: "x"
  op: "Placeholder"
  attr: {
    key: "shape"
    value: {
      shape: {
        dim: {
          size: -1
        }
      }
    }
  }
  attr: {

# the node x_y_sum = Add
# CHECK: INVALID ARGUMENTS: Dimensions must be equal, but are 2 and 3 for 'x_y_sum = Add[T=DT_INT32](aot_feed_0/x, aot_feed_0/y)'
# CHECK: math_ops.add(x, y, name='x_y_sum')
# CHECK: build_graph(out_dir)

# Checks the error message produced by tfcompile without mlir_component
# OLD: INVALID ARGUMENTS: Incompatible shapes: [2] vs. [3]
# OLD: x_y_sum

node: {
  name: "x"
  op: "Placeholder"
  attr: {