openvino/model-optimizer/extensions/front/GeLUMerger_Erf.py

79 lines
3.0 KiB
Python

"""
Copyright (C) 2017-2020 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 logging as log
from math import sqrt, fabs
from extensions.ops.gelu import GeLUOP
from mo.front.common.replacement import FrontReplacementSubgraph
from mo.graph.graph import Graph
class GeLUMergerErf(FrontReplacementSubgraph):
enabled = True
graph_condition = [lambda graph: graph.graph['cmd_params'].generate_experimental_IR_V10]
def pattern(self):
log.info('Enabled GeLU Merger replacement for approximation with Erf')
return dict(
nodes=[
('mul', dict(op='Mul')),
('mul0', dict(op='Mul')),
('div', dict(op='Div')),
('erf', dict(op='Erf')),
('add', dict(op='Add')),
('mul_param', dict(op='Const')),
('div_param', dict(op='Const')),
('add_param', dict(op='Const')),
],
edges=[
('mul', 'mul0'),
('div', 'erf'),
('erf', 'add'),
('add', 'mul0'),
('mul_param', 'mul'),
('div_param', 'div'),
('add_param', 'add'),
])
def replace_sub_graph(self, graph: Graph, match: dict):
# Gaussian Error Linear Unit
# f(x) = 0.5 * x * (1 + erf(x / sqrt(2))
div = match['div']
inp_port = div.in_port(0).get_source()
inp = inp_port.node
log.debug('Found potential Erf-based GeLU pattern after {} with name {}'.format(inp.op, inp.name))
# take the values of the mul, add and div
div_param = match['div_param']
add_param = match['add_param']
mul_param = match['mul_param']
if add_param.value.size == 1 and mul_param.value.size == 1 and div_param.value.size == 1:
mul_param = match['mul_param'].value.item()
add_param = match['add_param'].value.item()
div_param = match['div_param'].value.item()
sqrt2 = sqrt(2.0)
# check that the values match the approximation
if fabs(div_param - sqrt2) < 1e-06 and mul_param == 0.5 and add_param == 1.0:
log.debug('Confirmed Erf-based GELU pattern after {} with name {}'.format(inp.op, inp.name))
gelu = GeLUOP(graph, dict(name=inp.name + '/GELU_')).create_node()
inp_port.connect(gelu.in_port(0))
match['mul0'].out_port(0).get_connection().set_source(gelu.out_port(0))