Files
openvino/model-optimizer/extensions/ops/prelu.py
Evgeny Lazarev dec7df17ed MO clean from IR v7 and other legacy code (#1521)
* Remove unnnecessary ir_version checks in the MO

* Cleaned up 'backend_attrs_v2' function

* Small clean up from the 'TFCustomSubgraphCall'

* Clean up the MO extractor attributes mapping

* Renamed PreluOp to PReLU
2020-07-29 17:43:12 +03:00

53 lines
1.5 KiB
Python

"""
Copyright (C) 2018-2020 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 mo.front.common.partial_infer.elemental import copy_shape_infer
from mo.graph.graph import Graph
from mo.ops.op import Op
class PReLU(Op):
op = 'PReLU'
enabled = True
def __init__(self, graph: Graph, attrs: dict):
super().__init__(graph, {
'op': self.op,
'type': self.op,
'version': 'opset1',
'infer': self.infer,
'force_precision_in_ports': {1: 'float'},
'in_ports_count': 2,
'out_ports_count': 1,
}, attrs)
@staticmethod
def infer(node):
if len(node.in_nodes()) == 2:
gamma_vector = node.in_node(1)
if np.all(gamma_vector.shape == [1]):
node['channel_shared'] = 1
else:
node['channel_shared'] = 0
node.in_node(1)['correct_data_type'] = True
copy_shape_infer(node)