197 lines
8.0 KiB
Python
197 lines
8.0 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.HSwish_fusion import HSwishWithClamp, HSwishWithMinMax
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from mo.front.common.partial_infer.utils import float_array
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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, const, regular_op, result, build_graph_with_edge_attrs
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ref_nodes = {**regular_op('input', {'type': 'Parameter'}),
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**regular_op('hswish', {'type': 'HSwish', 'name': 'final_mul'}),
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**result('result')
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}
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ref_edges = [('input', 'hswish'), ('hswish', 'result')]
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class HSwishWithClampTest(unittest.TestCase):
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nodes = {
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**regular_op('input', {'type': 'Parameter'}),
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**regular_op('add', {'op': 'Add'}),
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**regular_op('relu6', {'op': 'Clamp'}),
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**regular_op('mul', {'op': 'Mul'}),
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**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
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**const('const_0', float_array([0.0])),
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**const('const_3', float_array([3.0])),
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**const('const_6', float_array([6.0])),
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**const('const_1_6', float_array([1.0 / 6.0])),
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**result('result'),
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}
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edges = [('input', 'mul', {'in': 0, 'out': 0}),
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('input', 'add', {'in': 0, 'out': 0}),
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('const_3', 'add', {'in': 1, 'out': 0}),
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('add', 'relu6', {'in': 0, 'out': 0}),
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('const_0', 'relu6', {'in': 1, 'out': 0}),
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('const_6', 'relu6', {'in': 2, 'out': 0}),
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('relu6', 'mul', {'in': 1, 'out': 0}),
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('mul', 'mul_2', {'in': 0, 'out': 0}),
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('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
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('mul_2', 'result', {'in': 0, 'out': 0})]
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def test_hswish_with_clamp(self):
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graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
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graph_ref = build_graph(ref_nodes, ref_edges)
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graph.stage = 'front'
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HSwishWithClamp().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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self.assertTrue(len(graph.get_op_nodes(name='final_mul')) == 1 and
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graph.get_op_nodes(name='final_mul')[0].op == 'HSwish')
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def test_hswish_with_clamp_wrong_constant(self):
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graph = build_graph_with_edge_attrs(self.nodes, self.edges, {'const_0': {'value': float_array([0.00001])}})
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graph_ref = graph.copy()
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graph.stage = 'front'
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HSwishWithClamp().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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def test_hswish_with_clamp_different_tensors(self):
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graph = build_graph_with_edge_attrs({
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**regular_op('input', {'type': 'Parameter'}),
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**regular_op('input_2', {'type': 'Parameter'}),
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**regular_op('add', {'op': 'Add'}),
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**regular_op('relu6', {'op': 'Clamp'}),
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**regular_op('mul', {'op': 'Mul'}),
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**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
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**const('const_0', float_array([0.0])),
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**const('const_3', float_array([3.0])),
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**const('const_6', float_array([6.0])),
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**const('const_1_6', float_array([1.0 / 6.0])),
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**result('result'),
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}, [('input', 'mul', {'in': 0, 'out': 0}),
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('input_2', 'add', {'in': 0, 'out': 0}),
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('const_3', 'add', {'in': 1, 'out': 0}),
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('add', 'relu6', {'in': 0, 'out': 0}),
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('const_0', 'relu6', {'in': 1, 'out': 0}),
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('const_6', 'relu6', {'in': 2, 'out': 0}),
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('relu6', 'mul', {'in': 1, 'out': 0}),
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('mul', 'mul_2', {'in': 0, 'out': 0}),
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('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
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('mul_2', 'result', {'in': 0, 'out': 0})])
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graph_ref = graph.copy()
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graph.stage = 'front'
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HSwishWithClamp().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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class HSwishWithMinMaxTest(unittest.TestCase):
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nodes = {
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**regular_op('input', {'type': 'Parameter'}),
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**regular_op('add', {'op': 'Add'}),
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**regular_op('max', {'op': 'Maximum'}),
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**regular_op('min', {'op': 'Minimum'}),
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**regular_op('mul', {'op': 'Mul'}),
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**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
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**const('const_0', float_array([0.0])),
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**const('const_3', float_array([3.0])),
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**const('const_6', float_array([6.0])),
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**const('const_1_6', float_array([1.0 / 6.0])),
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**result('result'),
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}
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edges = [('input', 'mul', {'in': 1, 'out': 0}),
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('input', 'add', {'in': 0, 'out': 0}),
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('const_3', 'add', {'in': 1, 'out': 0}),
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('add', 'max', {'in': 0, 'out': 0}),
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('const_0', 'max', {'in': 1, 'out': 0}),
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('max', 'min', {'in': 0, 'out': 0}),
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('const_6', 'min', {'in': 1, 'out': 0}),
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('min', 'mul', {'in': 0, 'out': 0}),
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('mul', 'mul_2', {'in': 0, 'out': 0}),
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('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
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('mul_2', 'result', {'in': 0, 'out': 0})]
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def test_hswish_with_min_max(self):
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graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
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graph_ref = build_graph(ref_nodes, ref_edges)
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graph.stage = 'front'
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HSwishWithMinMax().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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self.assertTrue(len(graph.get_op_nodes(name='final_mul')) == 1 and
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graph.get_op_nodes(name='final_mul')[0].op == 'HSwish')
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def test_hswish_with_min_max_wrong_constant(self):
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graph = build_graph_with_edge_attrs(self.nodes, self.edges, {'const_0': {'value': float_array([0.00001])}})
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graph_ref = graph.copy()
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graph.stage = 'front'
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HSwishWithMinMax().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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def test_hswish_with_min_max_different_tensors(self):
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graph = build_graph_with_edge_attrs({
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**regular_op('input', {'type': 'Parameter'}),
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**regular_op('input_2', {'type': 'Parameter'}),
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**regular_op('add', {'op': 'Add'}),
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**regular_op('max', {'op': 'Maximum'}),
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**regular_op('min', {'op': 'Minimum'}),
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**regular_op('mul', {'op': 'Mul'}),
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**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
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**const('const_0', float_array([0.0])),
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**const('const_3', float_array([3.0])),
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**const('const_6', float_array([6.0])),
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**const('const_1_6', float_array([1.0 / 6.0])),
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**result('result'),
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}, [('input_2', 'mul', {'in': 1, 'out': 0}),
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('input', 'add', {'in': 0, 'out': 0}),
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('const_3', 'add', {'in': 1, 'out': 0}),
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('add', 'max', {'in': 0, 'out': 0}),
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('const_0', 'max', {'in': 1, 'out': 0}),
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('max', 'min', {'in': 0, 'out': 0}),
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('const_6', 'min', {'in': 1, 'out': 0}),
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('min', 'mul', {'in': 0, 'out': 0}),
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('mul', 'mul_2', {'in': 0, 'out': 0}),
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('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
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('mul_2', 'result', {'in': 0, 'out': 0})])
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graph_ref = graph.copy()
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graph.stage = 'front'
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HSwishWithMinMax().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result')
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self.assertTrue(flag, resp)
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