Publishing 2019 R1 content

[platform/upstream/dldt.git] / model-optimizer / extensions / front / image_scaler_test.py

diff --git a/model-optimizer/extensions/front/image_scaler_test.py b/model-optimizer/extensions/front/image_scaler_test.py
index 2c4ec90..40d7aea 100644 (file)
--- a/model-optimizer/extensions/front/image_scaler_test.py
+++ b/model-optimizer/extensions/front/image_scaler_test.py
@@ -1,5 +1,5 @@
 """
- Copyright (c) 2018 Intel Corporation
+ Copyright (c) 2018-2019 Intel Corporation
 
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
@@ -32,16 +32,59 @@ nodes_attributes = {
     'last_data': {'value': None, 'shape': None, 'kind': 'data'},
     # Mul and Add operations
     'mul_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Mul'},
-    'mul_1_w': {'value': None, 'shape': None, 'kind': 'op', 'op': 'Const'},
+    'const_mul_1_w': {'type': None, 'value': None, 'kind': 'op', 'op': 'Const'},
+    'mul_1_w': {'value': None, 'shape': None, 'kind': 'data'},
     'mul_1_data': {'value': None, 'shape': None, 'kind': 'data'},
     'add_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Add'},
-    'add_1_w': {'value': None, 'shape': None, 'kind': 'op', 'op': 'Const'},
+    'const_add_1_w': {'type': None, 'value': None, 'kind': 'op', 'op': 'Const'},
+    'add_1_w': {'value': None, 'shape': None, 'kind': 'data'},
     'add_1_data': {'value': None, 'shape': None, 'kind': 'data'},
 }
 
 
 class ImageScalerTest(unittest.TestCase):
-    def test_image_scaler_test1(self):
+    # Tests for MIDDLE stage
+    # Graph with Mul and Add operations
+    def test_image_scaler_test_1(self):
+        graph = build_graph(nodes_attributes,
+                            [('placeholder_1', 'placeholder_1_data'),
+                             ('placeholder_1_data', 'im_scaler'),
+                             ('im_scaler', 'im_scaler_data'),
+                             ('im_scaler_data', 'last'),
+                             ],
+                            {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                             }, nodes_with_edges_only=True)
+
+        graph_ref = build_graph(nodes_attributes,
+                                [('placeholder_1', 'placeholder_1_data'),
+                                 ('placeholder_1_data', 'mul_1'),
+                                 ('const_mul_1_w', 'mul_1_w'),
+                                 ('mul_1_w', 'mul_1'),
+                                 ('mul_1', 'mul_1_data'),
+                                 ('mul_1_data', 'add_1'),
+                                 ('const_add_1_w', 'add_1_w'),
+                                 ('add_1_w', 'add_1'),
+                                 ('add_1', 'add_1_data'),
+                                 ('add_1_data', 'last')
+                                 ],
+                                {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
+                                 'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
+                                 'const_add_1_w': {'shape': np.array([3, 1, 1]),
+                                                   'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                                 }, nodes_with_edges_only=True)
+
+        graph.graph['layout'] = 'NCHW'
+        graph.stage = 'middle'
+
+        replacer = ImageScaler()
+        replacer.find_and_replace_pattern(graph)
+
+        (flag, resp) = compare_graphs(graph, graph_ref, 'last')
+        self.assertTrue(flag, resp)
+
+    # Graph with Add operation
+    def test_image_scaler_test_2(self):
         graph = build_graph(nodes_attributes,
                             [('placeholder_1', 'placeholder_1_data'),
                              ('placeholder_1_data', 'im_scaler'),
@@ -55,16 +98,18 @@ class ImageScalerTest(unittest.TestCase):
         graph_ref = build_graph(nodes_attributes,
                                 [('placeholder_1', 'placeholder_1_data'),
                                  ('placeholder_1_data', 'add_1'),
+                                 ('const_add_1_w', 'add_1_w'),
                                  ('add_1_w', 'add_1'),
                                  ('add_1', 'add_1_data'),
                                  ('add_1_data', 'last')
                                  ],
                                 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
-                                 'add_1_w': {'shape': np.array([3, 1, 1]),
-                                             'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                                 'const_add_1_w': {'shape': np.array([3, 1, 1]),
+                                                   'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
                                  }, nodes_with_edges_only=True)
 
         graph.graph['layout'] = 'NCHW'
+        graph.stage = 'middle'
 
         replacer = ImageScaler()
         replacer.find_and_replace_pattern(graph)
@@ -72,7 +117,8 @@ class ImageScalerTest(unittest.TestCase):
         (flag, resp) = compare_graphs(graph, graph_ref, 'last')
         self.assertTrue(flag, resp)
 
-    def test_image_scaler_test2(self):
+    # Graph with Mul operation
+    def test_image_scaler_test_3(self):
         graph = build_graph(nodes_attributes,
                             [('placeholder_1', 'placeholder_1_data'),
                              ('placeholder_1_data', 'im_scaler'),
@@ -86,15 +132,161 @@ class ImageScalerTest(unittest.TestCase):
         graph_ref = build_graph(nodes_attributes,
                                 [('placeholder_1', 'placeholder_1_data'),
                                  ('placeholder_1_data', 'mul_1'),
+                                 ('const_mul_1_w', 'mul_1_w'),
                                  ('mul_1_w', 'mul_1'),
                                  ('mul_1', 'mul_1_data'),
                                  ('mul_1_data', 'last')
                                  ],
                                 {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
-                                 'mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
+                                 'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
+                                 }, nodes_with_edges_only=True)
+
+        graph.graph['layout'] = 'NCHW'
+        graph.stage = 'middle'
+
+        replacer = ImageScaler()
+        replacer.find_and_replace_pattern(graph)
+
+        (flag, resp) = compare_graphs(graph, graph_ref, 'last')
+        self.assertTrue(flag, resp)
+
+    # Graph without Mul and Add operations
+    def test_image_scaler_test_4(self):
+        graph = build_graph(nodes_attributes,
+                            [('placeholder_1', 'placeholder_1_data'),
+                             ('placeholder_1_data', 'im_scaler'),
+                             ('im_scaler', 'im_scaler_data'),
+                             ('im_scaler_data', 'last'),
+                             ],
+                            {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler_data': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
+                             }, nodes_with_edges_only=True)
+
+        graph_ref = build_graph(nodes_attributes,
+                                [('placeholder_1', 'placeholder_1_data'),
+                                 ('placeholder_1_data', 'last')
+                                 ],
+                                {'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
+                                 }, nodes_with_edges_only=True)
+
+        graph.graph['layout'] = 'NCHW'
+        graph.stage = 'middle'
+
+        replacer = ImageScaler()
+        replacer.find_and_replace_pattern(graph)
+
+        (flag, resp) = compare_graphs(graph, graph_ref, 'last')
+        self.assertTrue(flag, resp)
+
+    # Tests for FRONT stage
+    # Graph with Mul and Add operations
+    def test_image_scaler_test_5(self):
+        graph = build_graph(nodes_attributes,
+                            [('placeholder_1', 'im_scaler'),
+                             ('im_scaler', 'last'),
+                             ],
+                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                             }, nodes_with_edges_only=True)
+
+        graph_ref = build_graph(nodes_attributes,
+                                [('placeholder_1', 'mul_1'),
+                                 ('const_mul_1_w', 'mul_1'),
+                                 ('mul_1', 'add_1'),
+                                 ('const_add_1_w', 'add_1'),
+                                 ('add_1', 'last')
+                                 ],
+                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                                 'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
+                                 'const_add_1_w': {'shape': np.array([3, 1, 1]),
+                                                   'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                                 }, nodes_with_edges_only=True)
+
+        graph.graph['layout'] = 'NCHW'
+        graph.stage = 'front'
+
+        replacer = ImageScaler()
+        replacer.find_and_replace_pattern(graph)
+
+        (flag, resp) = compare_graphs(graph, graph_ref, 'last')
+        self.assertTrue(flag, resp)
+
+    # Graph with Add operation
+    def test_image_scaler_test_6(self):
+        graph = build_graph(nodes_attributes,
+                            [('placeholder_1', 'im_scaler'),
+                             ('im_scaler', 'last'),
+                             ],
+                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                             }, nodes_with_edges_only=True)
+
+        graph_ref = build_graph(nodes_attributes,
+                                [('placeholder_1', 'add_1'),
+                                 ('const_add_1_w', 'add_1'),
+                                 ('add_1', 'last')
+                                 ],
+                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                                 'const_add_1_w': {'shape': np.array([3, 1, 1]),
+                                                   'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
+                                 }, nodes_with_edges_only=True)
+
+        graph.graph['layout'] = 'NCHW'
+        graph.stage = 'front'
+
+        replacer = ImageScaler()
+        replacer.find_and_replace_pattern(graph)
+
+        (flag, resp) = compare_graphs(graph, graph_ref, 'last')
+        self.assertTrue(flag, resp)
+
+    # Graph with Mul operation
+    def test_image_scaler_test_7(self):
+        graph = build_graph(nodes_attributes,
+                            [('placeholder_1', 'im_scaler'),
+                             ('im_scaler', 'last'),
+                             ],
+                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
+                             }, nodes_with_edges_only=True)
+
+        graph_ref = build_graph(nodes_attributes,
+                                [('placeholder_1', 'mul_1'),
+                                 ('const_mul_1_w', 'mul_1'),
+                                 ('mul_1', 'last')
+                                 ],
+                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                                 'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
+                                 }, nodes_with_edges_only=True)
+
+        graph.graph['layout'] = 'NCHW'
+        graph.stage = 'front'
+
+        replacer = ImageScaler()
+        replacer.find_and_replace_pattern(graph)
+
+        (flag, resp) = compare_graphs(graph, graph_ref, 'last')
+        self.assertTrue(flag, resp)
+
+    # Graph without Mul and Add operations
+    def test_image_scaler_test_8(self):
+        graph = build_graph(nodes_attributes,
+                            [('placeholder_1', 'im_scaler'),
+                             ('im_scaler', 'last'),
+                             ],
+                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
+                             'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
+                             }, nodes_with_edges_only=True)
+
+        graph_ref = build_graph(nodes_attributes,
+                                [('placeholder_1', 'last')
+                                 ],
+                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                                  }, nodes_with_edges_only=True)
 
         graph.graph['layout'] = 'NCHW'
+        graph.stage = 'front'
 
         replacer = ImageScaler()
         replacer.find_and_replace_pattern(graph)