openvino/model-optimizer/extensions/back/fuse_sub_div_min.py

139 lines
4.4 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 numpy as np
from extensions.ops.elementwise import Sub, Div, Negative
from mo.back.replacement import BackReplacementPattern
from mo.graph.graph import Node, Graph
class Negate(BackReplacementPattern):
enabled = True
force_clean_up = True
graph_condition = [lambda graph: graph.graph['cmd_params'].generate_experimental_IR_V10]
@staticmethod
def pattern():
return dict(
nodes=[
('mul', {'type': 'Multiply'})
],
edges=[],
)
@staticmethod
def replace_pattern(graph: Graph, match: [str, Node]):
mul = match['mul']
name = mul.soft_get('name', mul.id)
mul_POS_port = None
if mul.in_port(0).data.get_value() is not None and np.all(mul.in_port(0).data.get_value() == -1):
mul_POS_port = mul.in_port(1)
if mul.in_port(1).data.get_value() is not None and np.all(mul.in_port(1).data.get_value() == -1):
mul_POS_port = mul.in_port(0)
if mul_POS_port is None:
return
negative = Negative(graph, {'name': name + '/Negate'}).create_node()
mul.out_port(0).get_connection().set_source(negative.out_port(0))
mul_POS_port.get_connection().set_destination(negative.in_port(0))
class EltwisesToSubtract(BackReplacementPattern):
enabled = True
force_clean_up = True
graph_condition = [lambda graph: graph.graph['cmd_params'].generate_experimental_IR_V10]
def run_after(self):
return [Negate]
@staticmethod
def pattern():
return dict(
nodes=[
('neg', {'type': 'Negative'}),
('neg_d', {}),
('add', {'type': 'Add'})
],
edges=[
('neg', 'neg_d'),
('neg_d', 'add'),
],
)
@staticmethod
def replace_pattern(graph: Graph, match: [str, Node]):
neg = match['neg']
add = match['add']
name = add.soft_get('name', add.id)
minuend_port = add.in_port(0).get_source() \
if add.in_port(1).get_source().node.id == neg.id else add.in_port(1).get_source()
subtrahned_port = neg.in_port(0).get_source()
sub = Sub(graph, {'name': name + '/sub'}).create_node()
add.out_port(0).get_connection().set_source(sub.out_port(0))
minuend_port.connect(sub.in_port(0))
subtrahned_port.connect(sub.in_port(1))
class EltwisesToDiv(BackReplacementPattern):
enabled = True
force_clean_up = True
graph_condition = [lambda graph: graph.graph['cmd_params'].generate_experimental_IR_V10]
@staticmethod
def pattern():
return dict(
nodes=[
('const', {'type': 'Const'}),
('const_d', {'value': lambda val: val is not None and np.all(val == -1)}),
('inv', {'type': 'Pow'}),
('inv_d', {}),
('mul', {'type': 'Multiply'})
],
edges=[
('const', 'const_d'),
('const_d', 'inv', {'in': 1}),
('inv', 'inv_d'),
('inv_d', 'mul'),
],
)
@staticmethod
def replace_pattern(graph: Graph, match: [str, Node]):
pow = match['inv']
mul = match['mul']
const = match['const']
name = mul.soft_get('name', mul.id)
devidend_port = mul.in_port(0).get_source() if mul.in_port(1).get_source().node.id == pow.id else mul.in_port(
1).get_source()
divider_port = pow.in_port(0).get_source() if pow.in_port(1).get_source().node.id == const.id else pow.in_port(
1).get_source()
div = Div(graph, {'name': name + '/div'}).create_node()
mul.out_port(0).get_connection().set_source(div.out_port(0))
devidend_port.connect(div.in_port(0))
divider_port.connect(div.in_port(1))