chore: import upstream snapshot with attribution

codegen/onnx-def-gen/save_test.py

@@ -0,0 +1,29 @@
+#  /* ******************************************************************************
+#   *
+#   *
+#   * This program and the accompanying materials are made available under the
+#   * terms of the Apache License, Version 2.0 which is available at
+#   * https://www.apache.org/licenses/LICENSE-2.0.
+#   *
+#   *  See the NOTICE file distributed with this work for additional
+#   *  information regarding copyright ownership.
+#   * Unless required by applicable law or agreed to in writing, software
+#   * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#   * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#   * License for the specific language governing permissions and limitations
+#   * under the License.
+#   *
+#   * SPDX-License-Identifier: Apache-2.0
+#   ******************************************************************************/
+
+import tensorflow as tf
+from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2
+
+def graph_as_func():
+    S = tf.Variable(tf.constant([1, 2, 3, 4]))
+    result = tf.scatter_add(S, [0], [10])
+    return result
+a_function_that_uses_a_graph = tf.function(graph_as_func)
+print(a_function_that_uses_a_graph.__attr__)
+converted = convert_variables_to_constants_v2(a_function_that_uses_a_graph)
+print(type(converted))