297 lines
14 KiB
Python
297 lines
14 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import unittest
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import numpy as np
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from extensions.front.image_scaler import ImageScaler
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.unittest.graph import build_graph
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nodes_attributes = {
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'placeholder_1': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_1_data': {'value': None, 'shape': None, 'kind': 'data', 'data_type': None},
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# ImageScaler operation
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'im_scaler': {'type': None, 'kind': 'op', 'op': 'ImageScaler'},
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'im_scaler_data': {'value': None, 'shape': None, 'kind': 'data'},
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# Test operation
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'last': {'type': None, 'value': None, 'kind': 'op', 'op': None},
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'last_data': {'value': None, 'shape': None, 'kind': 'data'},
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# Mul and Add operations
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'mul_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Mul'},
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'const_mul_1_w': {'type': None, 'value': None, 'kind': 'op', 'op': 'Const'},
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'mul_1_w': {'value': None, 'shape': None, 'kind': 'data'},
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'mul_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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'add_1': {'type': None, 'value': None, 'kind': 'op', 'op': 'Add'},
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'const_add_1_w': {'type': None, 'value': None, 'kind': 'op', 'op': 'Const'},
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'add_1_w': {'value': None, 'shape': None, 'kind': 'data'},
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'add_1_data': {'value': None, 'shape': None, 'kind': 'data'},
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}
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class ImageScalerTest(unittest.TestCase):
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# Tests for MIDDLE stage
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# Graph with Mul and Add operations
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def test_image_scaler_test_1(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'im_scaler'),
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('im_scaler', 'im_scaler_data'),
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('im_scaler_data', 'last'),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'mul_1'),
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('const_mul_1_w', 'mul_1_w'),
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('mul_1_w', 'mul_1'),
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('mul_1', 'mul_1_data'),
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('mul_1_data', 'add_1'),
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('const_add_1_w', 'add_1_w'),
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('add_1_w', 'add_1'),
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('add_1', 'add_1_data'),
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('add_1_data', 'last')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
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'const_add_1_w': {'shape': np.array([3, 1, 1]),
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'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'middle'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Graph with Add operation
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def test_image_scaler_test_2(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'im_scaler'),
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('im_scaler', 'im_scaler_data'),
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('im_scaler_data', 'last'),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'add_1'),
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('const_add_1_w', 'add_1_w'),
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('add_1_w', 'add_1'),
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('add_1', 'add_1_data'),
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('add_1_data', 'last')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'const_add_1_w': {'shape': np.array([3, 1, 1]),
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'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'middle'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Graph with Mul operation
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def test_image_scaler_test_3(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'im_scaler'),
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('im_scaler', 'im_scaler_data'),
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('im_scaler_data', 'last'),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'mul_1'),
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('const_mul_1_w', 'mul_1_w'),
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('mul_1_w', 'mul_1'),
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('mul_1', 'mul_1_data'),
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('mul_1_data', 'last')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'middle'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Graph without Mul and Add operations
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def test_image_scaler_test_4(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'im_scaler'),
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('im_scaler', 'im_scaler_data'),
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('im_scaler_data', 'last'),
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler_data': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'placeholder_1_data'),
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('placeholder_1_data', 'last')
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],
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{'placeholder_1_data': {'shape': np.array([1, 227, 227, 3])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'middle'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Tests for FRONT stage
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# Graph with Mul and Add operations
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def test_image_scaler_test_5(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'im_scaler'),
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('im_scaler', 'last'),
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'mul_1'),
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('const_mul_1_w', 'mul_1'),
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('mul_1', 'add_1'),
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('const_add_1_w', 'add_1'),
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('add_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
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'const_add_1_w': {'shape': np.array([3, 1, 1]),
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'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'front'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Graph with Add operation
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def test_image_scaler_test_6(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'im_scaler'),
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('im_scaler', 'last'),
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'add_1'),
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('const_add_1_w', 'add_1'),
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('add_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'const_add_1_w': {'shape': np.array([3, 1, 1]),
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'value': np.reshape(np.array([1, 2, 3]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'front'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Graph with Mul operation
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def test_image_scaler_test_7(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'im_scaler'),
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('im_scaler', 'last'),
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(2.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'mul_1'),
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('const_mul_1_w', 'mul_1'),
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('mul_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'const_mul_1_w': {'shape': np.array(2.0).shape, 'value': np.array(2.0)},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'front'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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# Graph without Mul and Add operations
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def test_image_scaler_test_8(self):
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'im_scaler'),
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('im_scaler', 'last'),
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'im_scaler': {'scale': np.array(1.0), 'bias': np.reshape(np.array([0, 0, 0]), [3, 1, 1])},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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}, nodes_with_edges_only=True)
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graph.graph['layout'] = 'NCHW'
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graph.stage = 'front'
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replacer = ImageScaler()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last')
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self.assertTrue(flag, resp)
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