Files
openvino/model-optimizer/extensions/front/HSwish_fusing_test.py
T
Evgeny Lazarev a4d90a0aba MO fusing activations (#1942)
* Added HSwish operation

* Added HSwish fusing transformation

* Fixed BOM

* Added unit test for HSwish fusing transformation

* Fixed unit tests for transformations using 'build_graph_with_edge_attrs' function to build the graph

* Added fusion transformation for Swish operation

* Added fusing transformation for Softplus operation

* Added fusion transformation for Mish operation

* Added check for the node name in the unit tests

* Fixed Mish fusion pattern

* Updated Mish fusion transformation. Added unit test

* Updated HSwish fusing transformation

* Updated Swish fusion transformation and tests

* Fixed unit tests
2020-08-27 11:56:52 +03:00

197 lines
8.0 KiB
Python

"""
Copyright (C) 2018-2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import unittest
from extensions.front.HSwish_fusion import HSwishWithClamp, HSwishWithMinMax
from mo.front.common.partial_infer.utils import float_array
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph, const, regular_op, result, build_graph_with_edge_attrs
ref_nodes = {**regular_op('input', {'type': 'Parameter'}),
**regular_op('hswish', {'type': 'HSwish', 'name': 'final_mul'}),
**result('result')
}
ref_edges = [('input', 'hswish'), ('hswish', 'result')]
class HSwishWithClampTest(unittest.TestCase):
nodes = {
**regular_op('input', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('relu6', {'op': 'Clamp'}),
**regular_op('mul', {'op': 'Mul'}),
**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
**const('const_0', float_array([0.0])),
**const('const_3', float_array([3.0])),
**const('const_6', float_array([6.0])),
**const('const_1_6', float_array([1.0 / 6.0])),
**result('result'),
}
edges = [('input', 'mul', {'in': 0, 'out': 0}),
('input', 'add', {'in': 0, 'out': 0}),
('const_3', 'add', {'in': 1, 'out': 0}),
('add', 'relu6', {'in': 0, 'out': 0}),
('const_0', 'relu6', {'in': 1, 'out': 0}),
('const_6', 'relu6', {'in': 2, 'out': 0}),
('relu6', 'mul', {'in': 1, 'out': 0}),
('mul', 'mul_2', {'in': 0, 'out': 0}),
('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
('mul_2', 'result', {'in': 0, 'out': 0})]
def test_hswish_with_clamp(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
graph_ref = build_graph(ref_nodes, ref_edges)
graph.stage = 'front'
HSwishWithClamp().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
self.assertTrue(len(graph.get_op_nodes(name='final_mul')) == 1 and
graph.get_op_nodes(name='final_mul')[0].op == 'HSwish')
def test_hswish_with_clamp_wrong_constant(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {'const_0': {'value': float_array([0.00001])}})
graph_ref = graph.copy()
graph.stage = 'front'
HSwishWithClamp().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_hswish_with_clamp_different_tensors(self):
graph = build_graph_with_edge_attrs({
**regular_op('input', {'type': 'Parameter'}),
**regular_op('input_2', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('relu6', {'op': 'Clamp'}),
**regular_op('mul', {'op': 'Mul'}),
**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
**const('const_0', float_array([0.0])),
**const('const_3', float_array([3.0])),
**const('const_6', float_array([6.0])),
**const('const_1_6', float_array([1.0 / 6.0])),
**result('result'),
}, [('input', 'mul', {'in': 0, 'out': 0}),
('input_2', 'add', {'in': 0, 'out': 0}),
('const_3', 'add', {'in': 1, 'out': 0}),
('add', 'relu6', {'in': 0, 'out': 0}),
('const_0', 'relu6', {'in': 1, 'out': 0}),
('const_6', 'relu6', {'in': 2, 'out': 0}),
('relu6', 'mul', {'in': 1, 'out': 0}),
('mul', 'mul_2', {'in': 0, 'out': 0}),
('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
('mul_2', 'result', {'in': 0, 'out': 0})])
graph_ref = graph.copy()
graph.stage = 'front'
HSwishWithClamp().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
class HSwishWithMinMaxTest(unittest.TestCase):
nodes = {
**regular_op('input', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('max', {'op': 'Maximum'}),
**regular_op('min', {'op': 'Minimum'}),
**regular_op('mul', {'op': 'Mul'}),
**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
**const('const_0', float_array([0.0])),
**const('const_3', float_array([3.0])),
**const('const_6', float_array([6.0])),
**const('const_1_6', float_array([1.0 / 6.0])),
**result('result'),
}
edges = [('input', 'mul', {'in': 1, 'out': 0}),
('input', 'add', {'in': 0, 'out': 0}),
('const_3', 'add', {'in': 1, 'out': 0}),
('add', 'max', {'in': 0, 'out': 0}),
('const_0', 'max', {'in': 1, 'out': 0}),
('max', 'min', {'in': 0, 'out': 0}),
('const_6', 'min', {'in': 1, 'out': 0}),
('min', 'mul', {'in': 0, 'out': 0}),
('mul', 'mul_2', {'in': 0, 'out': 0}),
('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
('mul_2', 'result', {'in': 0, 'out': 0})]
def test_hswish_with_min_max(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
graph_ref = build_graph(ref_nodes, ref_edges)
graph.stage = 'front'
HSwishWithMinMax().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
self.assertTrue(len(graph.get_op_nodes(name='final_mul')) == 1 and
graph.get_op_nodes(name='final_mul')[0].op == 'HSwish')
def test_hswish_with_min_max_wrong_constant(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {'const_0': {'value': float_array([0.00001])}})
graph_ref = graph.copy()
graph.stage = 'front'
HSwishWithMinMax().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_hswish_with_min_max_different_tensors(self):
graph = build_graph_with_edge_attrs({
**regular_op('input', {'type': 'Parameter'}),
**regular_op('input_2', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('max', {'op': 'Maximum'}),
**regular_op('min', {'op': 'Minimum'}),
**regular_op('mul', {'op': 'Mul'}),
**regular_op('mul_2', {'op': 'Mul', 'name': 'final_mul'}),
**const('const_0', float_array([0.0])),
**const('const_3', float_array([3.0])),
**const('const_6', float_array([6.0])),
**const('const_1_6', float_array([1.0 / 6.0])),
**result('result'),
}, [('input_2', 'mul', {'in': 1, 'out': 0}),
('input', 'add', {'in': 0, 'out': 0}),
('const_3', 'add', {'in': 1, 'out': 0}),
('add', 'max', {'in': 0, 'out': 0}),
('const_0', 'max', {'in': 1, 'out': 0}),
('max', 'min', {'in': 0, 'out': 0}),
('const_6', 'min', {'in': 1, 'out': 0}),
('min', 'mul', {'in': 0, 'out': 0}),
('mul', 'mul_2', {'in': 0, 'out': 0}),
('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
('mul_2', 'result', {'in': 0, 'out': 0})])
graph_ref = graph.copy()
graph.stage = 'front'
HSwishWithMinMax().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)