191 lines
9.2 KiB
Python
191 lines
9.2 KiB
Python
"""
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Copyright (c) 2018-2019 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.eltwise_n import EltwiseNReplacement
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from mo.utils.unittest.graph import build_graph, compare_graphs
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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_2': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_3': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'placeholder_4': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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# EltwiseN operations
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'EltwiseN_1': {'value': None, 'operation': None, 'type': None, 'kind': 'op', 'op': 'EltwiseN'},
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# Test operation
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'last': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op', 'op': None},
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# Max operation
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'max_1': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
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# Mui operations
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'mul_1': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
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'mul_2': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
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# Add operations
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'add_1': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
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'add_2': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
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'add_3': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
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}
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class TestEltwiseNFrontReplacement(unittest.TestCase):
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def test_eltwiseN_test_1(self):
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# EltwiseN test with N = 2 from 2 placeholders and operation = max
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'EltwiseN_1'),
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('placeholder_2', 'EltwiseN_1'),
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('EltwiseN_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
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'EltwiseN_1': {'operation': 'max'},
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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', 'max_1'),
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('placeholder_2', 'max_1'),
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('max_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
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'max_1': {'type': 'Maximum'}
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}, nodes_with_edges_only=True)
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graph.stage = 'front'
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replacer = EltwiseNReplacement()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_eltwise_test_2(self):
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# EltwiseN test with N = 3 from 3 placeholders and operation = mul
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'EltwiseN_1'),
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('placeholder_2', 'EltwiseN_1'),
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('placeholder_3', 'EltwiseN_1'),
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('EltwiseN_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
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'EltwiseN_1': {'operation': 'mul'},
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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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('placeholder_2', 'mul_1'),
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('mul_1', 'mul_2'),
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('placeholder_3', 'mul_2'),
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('mul_2', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
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'mul_1': {'type': 'Multiply'},
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'mul_2': {'type': 'Multiply'},
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}, nodes_with_edges_only=True)
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graph.stage = 'front'
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replacer = EltwiseNReplacement()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_eltwise_test_3(self):
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# EltwiseN test with N = 4 from 1 placeholder and operation = sum
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'EltwiseN_1'),
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('placeholder_2', 'EltwiseN_1'),
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('placeholder_3', 'EltwiseN_1'),
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('placeholder_4', 'EltwiseN_1'),
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('EltwiseN_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_4': {'shape': np.array([1, 227, 227, 3])},
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'EltwiseN_1': {'operation': 'sum'},
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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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('placeholder_2', 'add_1'),
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('add_1', 'add_2'),
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('placeholder_3', 'add_2'),
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('add_2', 'add_3'),
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('placeholder_4', 'add_3'),
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('add_3', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
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'placeholder_4': {'shape': np.array([1, 227, 227, 3])},
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'add_1': {'type': 'Add'},
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'add_2': {'type': 'Add'},
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'add_3': {'type': 'Add'},
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}, nodes_with_edges_only=True)
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graph.stage = 'front'
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replacer = EltwiseNReplacement()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_eltwise_test_4(self):
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# EltwiseN test with N = 4 from 1 placeholder and operation = sum
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graph = build_graph(nodes_attributes,
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[('placeholder_1', 'EltwiseN_1'),
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('placeholder_1', 'EltwiseN_1'),
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('placeholder_1', 'EltwiseN_1'),
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('placeholder_1', 'EltwiseN_1'),
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('EltwiseN_1', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'EltwiseN_1': {'operation': 'sum'},
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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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('placeholder_1', 'add_1'),
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('add_1', 'add_2'),
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('placeholder_1', 'add_2'),
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('add_2', 'add_3'),
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('placeholder_1', 'add_3'),
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('add_3', 'last')
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],
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{'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
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'add_1': {'type': 'Add'},
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'add_2': {'type': 'Add'},
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'add_3': {'type': 'Add'},
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}, nodes_with_edges_only=True)
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graph.stage = 'front'
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replacer = EltwiseNReplacement()
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replacer.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
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self.assertTrue(flag, resp)
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