Files
openvino/model-optimizer/extensions/front/HSigmoid_fusion_test.py
iliya mironov ce19e1fb9a Add hsigmoid fusing for MO (#2750)
* Add hsigmoid fusing for MO

* Update Bom file

* Remove comments

* Refactoring hsigmoid fusion according to review

* Add div and mul patterns for hsigmoid fusion

* Refactoring code according to review

* Fix HSigmoid fusion transformation
2020-10-24 12:51:15 +03:00

356 lines
15 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.HSigmoid_fusion import HSigmoidWithClamp, HSigmoidWithMinMax, HSigmoidWithReluDiv, \
HSigmoidWithReluMul
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('hsigmoid', {'type': 'HSigmoid', 'name': 'final_mul'}),
**result('result')
}
ref_edges = [('input', 'hsigmoid'), ('hsigmoid', 'result')]
class HSigmoidWithClampTest(unittest.TestCase):
nodes = {
**regular_op('input', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('relu6', {'op': 'Clamp'}),
**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', '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_2', {'in': 1, 'out': 0}),
('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
('mul_2', 'result', {'in': 0, 'out': 0})]
def test_hsigmoid_with_clamp(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
graph_ref = build_graph(ref_nodes, ref_edges)
graph.stage = 'front'
HSigmoidWithClamp().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 == 'HSigmoid')
def test_hsigmoid_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'
HSigmoidWithClamp().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_hsigmoid_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'
HSigmoidWithClamp().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
class HSigmoidWithMinMaxTest(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_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', '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_2', {'in': 0, 'out': 0}),
('const_1_6', 'mul_2', {'in': 1, 'out': 0}),
('mul_2', 'result', {'in': 0, 'out': 0})]
def test_hsigmoid_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'
HSigmoidWithMinMax().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 == 'HSigmoid')
def test_hsigmoid_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'
HSigmoidWithMinMax().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_hsigmoid_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'
HSigmoidWithMinMax().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
class HSigmoidWithReluDivTest(unittest.TestCase):
nodes = {
**regular_op('input', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('relu', {'op': 'ReLU'}),
**regular_op('min', {'op': 'Minimum'}),
**regular_op('div', {'op': 'Div', 'name': 'final_div'}),
**const('add_const', float_array([3.0])),
**const('min_const', float_array([6.0])),
**const('div_const', float_array([6.0])),
**result('result'),
}
edges = [('input', 'add', {'in': 0, 'out': 0}),
('add_const', 'add', {'in': 1, 'out': 0}),
('add', 'relu', {'in': 0, 'out': 0}),
('relu', 'min', {'in': 0, 'out': 0}),
('min_const', 'min', {'in': 1, 'out': 0}),
('min', 'div', {'in': 0, 'out': 0}),
('div_const', 'div', {'in': 1, 'out': 0}),
('div', 'result', {'in': 0, 'out': 0})]
def test_hsigmoid_with_relu_div(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
graph_ref = build_graph(ref_nodes, ref_edges)
graph.stage = 'front'
HSigmoidWithReluDiv().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_div')) == 1 and
graph.get_op_nodes(name='final_div')[0].op == 'HSigmoid')
self.assertTrue(graph.get_op_nodes(name='final_div')[0].out_nodes()[0].node == 'result')
def test_hsigmoid_with_relu_div_wrong_constant(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {'add_const': {'value': float_array([0.00001])}})
graph_ref = graph.copy()
graph.stage = 'front'
HSigmoidWithReluDiv().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_hsigmoid_with_relu_div_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'
HSigmoidWithReluDiv().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
class HSigmoidWithReluMulTest(unittest.TestCase):
nodes = {
**regular_op('input', {'type': 'Parameter'}),
**regular_op('add', {'op': 'Add'}),
**regular_op('relu', {'op': 'ReLU'}),
**regular_op('min', {'op': 'Minimum'}),
**regular_op('mul', {'op': 'Mul', 'name': 'final_mul'}),
**const('add_const', float_array([3.0])),
**const('min_const', float_array([6.0])),
**const('mul_const', float_array([1.0/6.0])),
**result('result'),
}
edges = [('input', 'add', {'in': 0, 'out': 0}),
('add_const', 'add', {'in': 1, 'out': 0}),
('add', 'relu', {'in': 0, 'out': 0}),
('relu', 'min', {'in': 0, 'out': 0}),
('min_const', 'min', {'in': 1, 'out': 0}),
('min', 'mul', {'in': 0, 'out': 0}),
('mul_const', 'mul', {'in': 1, 'out': 0}),
('mul', 'result', {'in': 0, 'out': 0})]
def test_hsigmoid_with_relu_mul(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {})
graph_ref = build_graph(ref_nodes, ref_edges)
graph.stage = 'front'
HSigmoidWithReluMul().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 == 'HSigmoid')
self.assertTrue(graph.get_op_nodes(name='final_mul')[0].out_nodes()[0].node == 'result')
def test_hsigmoid_with_relu_mul_wrong_constant(self):
graph = build_graph_with_edge_attrs(self.nodes, self.edges, {'add_const': {'value': float_array([0.00001])}})
graph_ref = graph.copy()
graph.stage = 'front'
HSigmoidWithReluMul().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)
def test_hsigmoid_with_relu_mul_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'
HSigmoidWithReluMul().find_and_replace_pattern(graph)
(flag, resp) = compare_graphs(graph, graph_ref, 'result')
self.assertTrue(flag, resp)