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

123 lines
3.6 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
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
@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
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
@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))