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

58 lines
2.3 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 numpy as np
from extensions.ops.elementwise import Add, Pow, Mul
from mo.front.common.replacement import FrontReplacementOp
from mo.graph.graph import Node, Graph
from mo.ops.const import Const
class SquaredDifference(FrontReplacementOp):
"""
Example class illustrating how to implement replacement of a single op in the front-end of the MO pipeline.
This class replaces a single op "SquaredDifference" by a sub-graph consisting of 3 lower-level ops.
"""
op = "SquaredDifference"
enabled = True
graph_condition = [lambda graph: not graph.graph['cmd_params'].generate_experimental_IR_V10]
def replace_op(self, graph: Graph, node: Node):
# Create nodes
const_neg = Const(graph, dict(value=np.array(-1), name=node.name + '/negate_const_')).create_node()
negate = Mul(graph, {'name': node.name + '/negate_'}).create_node()
add = Add(graph, {'name': node.name + '/add_'}).create_node()
# convert the power value to an appropriate data type
power_value = np.array(2)
if node.has_valid('data_type'):
power_value = power_value.astype(node.data_type)
const = Const(graph, {'value': power_value}).create_node()
squared = Pow(graph, {'name': node.name + '/squared_'}).create_node()
# Connect nodes
node.in_port(0).get_connection().set_destination(add.in_port(0))
node.in_port(1).get_connection().set_destination(negate.in_port(0))
const_neg.out_port(0).connect(negate.in_port(1))
negate.out_port(0).connect(add.in_port(1))
add.out_port(0).connect(squared.in_port(0))
const.out_port(0).connect(squared.in_port(1))
# The "explicit" version of the return value is: [(out_node.id, 0)])
return [squared.id]