284 lines
13 KiB
Python
284 lines
13 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
|
|
from extensions.front.image_scaler import ImageScaler
|
|
from mo.utils.ir_engine.compare_graphs import compare_graphs
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
nodes_attributes = {
|
|
'placeholder_1': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
|
|
'placeholder_1_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
|
|
# ImageScaler operation
|
|
'im_scaler': {'type': None, 'kind': 'op', 'op': 'ImageScaler'},
|
|
'im_scaler_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
# Test operation
|
|
'last': {'type': None, 'value': None, 'kind': 'op', 'op': None},
|
|
'last_data': {'value': None, 'shape': None, 'kind': 'data'},
|
|
# Mul and Add operations
|
|
'mul_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Mul'},
|
|
'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'},
|
|
'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):
|
|
# 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'),
|
|
('im_scaler', 'im_scaler_data'),
|
|
('im_scaler_data', 'last'),
|
|
],
|
|
{'placeholder_1_data': {'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', '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])},
|
|
'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 Mul operation
|
|
def test_image_scaler_test_3(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([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', '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])},
|
|
'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)
|
|
|
|
(flag, resp) = compare_graphs(graph, graph_ref, 'last')
|
|
self.assertTrue(flag, resp)
|