[MO] Fix ONNX Clamp-11 shape infer with no min/max inputs (#2603)

[platform/upstream/dldt.git] / model-optimizer / extensions / back / ClampNormalizer_test.py

diff --git a/model-optimizer/extensions/back/ClampNormalizer_test.py b/model-optimizer/extensions/back/ClampNormalizer_test.py
index eb5b07e..e1b8c2e 100644 (file)
--- a/model-optimizer/extensions/back/ClampNormalizer_test.py
+++ b/model-optimizer/extensions/back/ClampNormalizer_test.py
@@ -73,7 +73,7 @@ class AttributedClampNormalizerTests(unittest.TestCase):
         (flag, resp) = compare_graphs(graph, ref_graph, 'result')
         self.assertTrue(flag, resp)
 
-    def test_no_2nd_input(self):
+    def test_no_max_input(self):
         nodes = {
             **regular_op_with_shaped_data('placeholder', [1, 3, 20, 20], {'type': 'Parameter'}),
             **regular_op_with_shaped_data('a_clamp', [1, 3, 20, 20], {'type': None, 'op': 'Clamp'}),
@@ -95,7 +95,7 @@ class AttributedClampNormalizerTests(unittest.TestCase):
         (flag, resp) = compare_graphs(graph, ref_graph, 'result')
         self.assertTrue(flag, resp)
 
-    def test_no_1st_input(self):
+    def test_no_min_input(self):
         nodes = {
             **regular_op_with_shaped_data('placeholder', [1, 3, 20, 20], {'type': 'Parameter'}),
             **regular_op_with_shaped_data('a_clamp', [1, 3, 20, 20], {'type': None, 'op': 'Clamp'}),