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

58 lines
2.0 KiB
Python

"""
Copyright (c) 2019 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
import numpy as np
from mo.back.replacement import BackReplacementPattern
from mo.front.common.partial_infer.utils import int64_array
from mo.graph.graph import Graph
from mo.ops.result import Result
class TopKNormalizer(BackReplacementPattern):
"""
The transformation converts the second input to the TopK layer from 0D to 1D.
TODO this pass should be removed when IE suport 0D tensors.
"""
enabled = True
@staticmethod
def pattern():
return dict(
nodes=[('result', {'type': 'TopK'})],
edges=[],
)
@staticmethod
def replace_pattern(graph: Graph, match: dict):
node = match['result']
k = node.in_port(1).data.get_value()
if not isinstance(k, np.ndarray):
node.in_port(1).data.set_value(int64_array([k]))
elif k.ndim == 0:
node.in_port(1).data.set_value(int64_array([k.item()]))
else:
log.debug('The "k" input to the TopK layer "{}" is already 1D'.format(node.soft_get('name')))
if node.out_port(0).disconnected():
output = Result(graph, {'name': node.name + '/Result_port_0/'}).create_node()
node.out_port(0).get_connection().set_destination(output.in_port(0))
if node.out_port(1).disconnected():
output = Result(graph, {'name': node.name + '/Result_port_1/'}).create_node()
node.out_port(1).get_connection().set_destination(output.in_port(0))