57 lines
1.9 KiB
Python
57 lines
1.9 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.utils import int64_array
|
|
from mo.graph.graph import Graph
|
|
from mo.ops.op import Op
|
|
|
|
|
|
class Reverse(Op):
|
|
op = 'Reverse'
|
|
|
|
def __init__(self, graph: Graph, attrs: dict):
|
|
mandatory_props = {
|
|
# 'type': __class__.op, # Internal MO primitive
|
|
'axis': None,
|
|
'op': __class__.op,
|
|
'in_ports_count': 2,
|
|
'out_ports_count': 1,
|
|
'infer': __class__.infer,
|
|
}
|
|
super().__init__(graph, mandatory_props, attrs)
|
|
|
|
@staticmethod
|
|
def infer(node):
|
|
input_data_shape = node.in_node(0).shape
|
|
assert input_data_shape is not None
|
|
if not node.has_valid('axis'):
|
|
assert 1 in node.in_nodes()
|
|
assert node.in_node(1).has_valid('value')
|
|
assert node.in_node(1).value.size == 1
|
|
|
|
node['axis'] = node.in_node(1).value.item()
|
|
node.in_port(1).disconnect()
|
|
|
|
assert node.has_valid('axis')
|
|
|
|
assert len(node.out_nodes()) == 1
|
|
node.out_node().shape = input_data_shape.copy()
|
|
if node.in_node().value is not None:
|
|
node.out_node().value = np.flip(node.in_node().value, node['axis'])
|
|
assert np.array_equal(int64_array(node.out_node().value.shape), input_data_shape)
|