52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""
|
|
Copyright (c) 2017-2019 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.
|
|
"""
|
|
|
|
from mo.graph.graph import Graph
|
|
from mo.ops.op import Op
|
|
|
|
|
|
class ReverseSequence(Op):
|
|
op = 'ReverseSequence'
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
'type': __class__.op,
|
|
'seq_axis': None,
|
|
'batch_axis': 0,
|
|
'op': __class__.op,
|
|
'in_ports_count': 2,
|
|
'out_ports_count': 1,
|
|
'infer': __class__.infer,
|
|
'in_ports_count': 2,
|
|
'out_ports_count': 1,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
def supported_attrs(self):
|
|
return [
|
|
'seq_axis', 'batch_axis',
|
|
]
|
|
|
|
@staticmethod
|
|
def infer(node):
|
|
input_data_shape = node.in_node(0).shape
|
|
assert input_data_shape is not None
|
|
assert node.has_valid('seq_axis')
|
|
assert node.has_valid('batch_axis')
|
|
|
|
assert len(node.out_nodes()) == 1
|
|
node.out_node().shape = input_data_shape.copy()
|