Set the option to use experimental converter before the convert line.

PiperOrigin-RevId: 287781634
Change-Id: I558c5cf0debfb85b3daa96de65466c1e0f764d3d
diff --git a/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_lstm_test.py b/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_lstm_test.py
index f27086a..48e434a 100644
--- a/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_lstm_test.py
+++ b/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_lstm_test.py
@@ -221,8 +221,8 @@
     """
     converter = tf.lite.TFLiteConverter.from_session(sess, [input_tensor],
                                                      [output_tensor])
-    tflite = converter.convert()
     converter.experimental_new_converter = use_mlir_converter
+    tflite = converter.convert()
 
     interpreter = tf.lite.Interpreter(model_content=tflite)
 
diff --git a/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_rnn_test.py b/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_rnn_test.py
index bb16191..47799b7 100644
--- a/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_rnn_test.py
+++ b/tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_rnn_test.py
@@ -216,8 +216,8 @@
     """
     converter = tf.lite.TFLiteConverter.from_session(sess, [input_tensor],
                                                      [output_tensor])
-    tflite = converter.convert()
     converter.experimental_new_converter = use_mlir_converter
+    tflite = converter.convert()
 
     interpreter = tf.lite.Interpreter(model_content=tflite)
     interpreter.allocate_tensors()