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

61 lines
2.5 KiB
Python

"""
Copyright (C) 2018-2021 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.
"""
from extensions.ops.elementwise import Add, Mul
from extensions.ops.mvn import MVN
from extensions.ops.range import Range
from extensions.ops.rank import Rank
from mo.front.common.partial_infer.utils import int64_array
from mo.front.common.replacement import FrontReplacementOp
from mo.front.tf.graph_utils import create_op_with_const_inputs
from mo.graph.graph import Node, Graph, rename_nodes
import numpy as np
class InstanceNormalization(FrontReplacementOp):
''' Decompose InstanceNormalization to scale*MVN(x) + B
There are should be also reshapes added for each scale and B.
'''
op = "InstanceNormalization"
enabled = True
def replace_op(self, graph: Graph, node: Node):
name = node.soft_get('name', node.id)
# create range of axes for MVN based on `start_axis` and rank of input
rank = Rank(graph, {'name': name + '/Rank'}).create_node()
rng = create_op_with_const_inputs(graph, Range, {0: int64_array(2), 2: int64_array(1)},
{'name': name + '/Range', 'output_type': np.int64})
mvn = MVN(graph, {'eps': node.epsilon, 'eps_mode': 'inside_sqrt', 'normalize_variance': 1,
'name': name + '/Ins_Norm/MVN_', }).create_node()
node.in_port(0).get_connection().set_destination(mvn.in_port(0))
rng.out_port(0).connect(mvn.in_port(1))
mul = Mul(graph, {'axis': 1, 'name': name + '/Ins_Norm/mul_'}).create_node()
mvn.out_port(0).connect(mul.in_port(0))
node.in_port(1).get_connection().set_destination(mul.in_port(1))
add = Add(graph, {'axis': 1, 'name': name + '/Ins_Norm/add_'}).create_node()
mul.out_port(0).connect(add.in_port(0))
node.in_port(2).get_connection().set_destination(add.in_port(1))
mvn.in_port(0).get_connection().add_destination(rank.in_port(0))
rng.in_port(1).connect(rank.out_port(0))
rename_nodes([(node, name + '/TBD'), (add, name)])
return [add.id]