diff --git a/tensorflow/lite/experimental/examples/lstm/BUILD b/tensorflow/lite/experimental/examples/lstm/BUILD
index 719e59c6a8c..cb5a98e4078 100644
--- a/tensorflow/lite/experimental/examples/lstm/BUILD
+++ b/tensorflow/lite/experimental/examples/lstm/BUILD
@@ -111,7 +111,6 @@ py_test(
     tags = [
         "no_oss",
         "no_pip",
-        "notap",  # b/141373014
     ],
     deps = [
         ":rnn",
diff --git a/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_rnn_test.py b/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_rnn_test.py
index 00fdb4a2f96..2f0a7821572 100644
--- a/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_rnn_test.py
+++ b/tensorflow/lite/experimental/examples/lstm/bidirectional_sequence_rnn_test.py
@@ -297,33 +297,6 @@ class BidirectionalSequenceRnnTest(test_util.TensorFlowTestCase):
     result = self.tfliteInvoke(new_sess, test_inputs, x, output_class, False)
     self.assertTrue(np.allclose(expected_output, result, rtol=1e-6, atol=1e-2))
 
-  def testStaticRnnMultiRnnCellWithSequenceLength(self):
-    sess = tf.compat.v1.Session()
-
-    x, prediction, output_class = self.buildModel(
-        self.buildRnnLayer(),
-        self.buildRnnLayer(),
-        False,
-        is_inference=False,
-        use_sequence_length=True)
-    self.trainModel(x, prediction, output_class, sess)
-
-    saver = tf.train.Saver()
-    x, prediction, output_class, new_sess = self.saveAndRestoreModel(
-        self.buildRnnLayer(),
-        self.buildRnnLayer(),
-        sess,
-        saver,
-        False,
-        use_sequence_length=True)
-
-    test_inputs, expected_output = self.getInferenceResult(
-        x, output_class, new_sess)
-
-    # Test Toco-converted model.
-    result = self.tfliteInvoke(new_sess, test_inputs, x, output_class, False)
-    self.assertTrue(np.allclose(expected_output, result, rtol=1e-6, atol=1e-2))
-
   @test_util.enable_control_flow_v2
   def testDynamicRnnMultiRnnCell(self):
     sess = tf.compat.v1.Session()
@@ -347,34 +320,6 @@ class BidirectionalSequenceRnnTest(test_util.TensorFlowTestCase):
     result = self.tfliteInvoke(new_sess, test_inputs, x, output_class, False)
     self.assertTrue(np.allclose(expected_output, result, rtol=1e-6, atol=1e-2))
 
-  @test_util.enable_control_flow_v2
-  def testDynamicRnnMultiRnnCellWithSequenceLength(self):
-    sess = tf.compat.v1.Session()
-
-    x, prediction, output_class = self.buildModel(
-        self.buildRnnLayer(),
-        self.buildRnnLayer(),
-        True,
-        is_inference=False,
-        use_sequence_length=True)
-    self.trainModel(x, prediction, output_class, sess)
-
-    saver = tf.compat.v1.train.Saver()
-    x, prediction, output_class, new_sess = self.saveAndRestoreModel(
-        self.buildRnnLayer(),
-        self.buildRnnLayer(),
-        sess,
-        saver,
-        is_dynamic_rnn=True,
-        use_sequence_length=True)
-
-    test_inputs, expected_output = self.getInferenceResult(
-        x, output_class, new_sess)
-
-    # Test Toco-converted model.
-    result = self.tfliteInvoke(new_sess, test_inputs, x, output_class, False)
-    self.assertTrue(np.allclose(expected_output, result, rtol=1e-6, atol=1e-2))
-
 
 if __name__ == "__main__":
   tf.disable_v2_behavior()