0b3ff5edc2
* Add MO support for MVN-6 * Apply review feedback * Apply review feedback * Enable MVN-6 decomposition * Fix shape_infer issue * Fix MVN6 decomposition * Fix build * Fix tests * Small fix * Add MVN-6 reader test * Apply feedback * Apply review feedback * Fix onnx test failure
116 lines
4.8 KiB
Python
116 lines
4.8 KiB
Python
"""
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Copyright (C) 2018-2021 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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from extensions.front.instance_normalization import InstanceNormalization
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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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'input': {'kind': 'op', 'op': 'AnyOp'},
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'scale': {'kind': 'op', 'op': 'AnyOp'},
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'B': {'kind': 'op', 'op': 'AnyOp'},
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'node': {'kind': 'op', 'op': 'InstanceNormalization', 'epsilon': None},
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'out': {'kind': 'op', 'op': 'AnyOp'},
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}
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nodes_ref_attributes = {
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'input': {'kind': 'op', 'op': 'AnyOp'},
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'scale': {'kind': 'op', 'op': 'AnyOp'},
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'B': {'kind': 'op', 'op': 'AnyOp'},
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'start': {'kind': 'op', 'op': 'Const'},
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'step': {'kind': 'op', 'op': 'Const'},
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'rank': {'kind': 'op', 'op': 'Rank'},
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'mvn_axes': {'kind': 'op', 'op': 'Range'},
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'mvn': {'kind': 'op', 'op': 'MVN', 'name': 'node/Ins_Norm/MVN_', 'eps': None},
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'mul': {'kind': 'op', 'op': 'Mul', 'name': 'node/Ins_Norm/mul_'},
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'add': {'kind': 'op', 'op': 'Add', 'name': 'node/Ins_Norm/add_'},
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'out': {'kind': 'op', 'op': 'AnyOp'},
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}
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class TestInstanceNormalization(unittest.TestCase):
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def test_instance_normalization_test_1(self):
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graph = build_graph(nodes_attributes,
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[('input', 'node'),
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('scale', 'node'),
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('B', 'node'),
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('node', 'out')
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],
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{'node': {'epsilon': 0.123},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_ref_attributes,
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[('input', 'mvn', {'out': 0}),
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('input', 'rank', {'out': 0}),
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('start', 'mvn_axes'),
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('rank', 'mvn_axes'),
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('step', 'mvn_axes'),
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('mvn_axes', 'mvn'),
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('mvn', 'mul'),
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('scale', 'mul'),
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('mul', 'add'),
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('B', 'add'),
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('add', 'out')
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],
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{'mvn': {'eps': 0.123, 'eps_mode': 'inside_sqrt', 'normalize_variance': 1},
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}, nodes_with_edges_only=True)
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graph.stage = 'front'
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tested_class = InstanceNormalization()
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tested_class.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'out', check_op_attrs=False)
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self.assertTrue(flag, resp)
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def test_instance_normalization_test_2(self):
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graph = build_graph(nodes_attributes,
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[('input', 'out', {'out': 0, 'in': 0}),
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('input', 'node', {'out': 1}),
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('scale', 'node'),
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('B', 'node'),
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('node', 'out', {'in': 1})
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],
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{'node': {'epsilon': 0.123},
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}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_ref_attributes,
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[('input', 'out', {'out': 0, 'in': 0}),
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('input', 'mvn', {'out': 1}),
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('input', 'rank', {'out': 1}),
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('start', 'mvn_axes'),
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('rank', 'mvn_axes'),
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('step', 'mvn_axes'),
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('mvn_axes', 'mvn'),
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('mvn', 'mul'),
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('scale', 'mul'),
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('mul', 'add'),
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('B', 'add'),
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('add', 'out', {'in': 1})
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],
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{'mvn': {'eps': 0.123, 'eps_mode': 'inside_sqrt', 'normalize_variance': 1},
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}, nodes_with_edges_only=True)
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graph.stage = 'front'
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tested_class = InstanceNormalization()
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tested_class.find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'out', check_op_attrs=False)
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self.assertTrue(flag, resp)
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