2 Copyright (c) 2018-2019 Intel Corporation
4 Licensed under the Apache License, Version 2.0 (the "License");
5 you may not use this file except in compliance with the License.
6 You may obtain a copy of the License at
8 http://www.apache.org/licenses/LICENSE-2.0
10 Unless required by applicable law or agreed to in writing, software
11 distributed under the License is distributed on an "AS IS" BASIS,
12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 See the License for the specific language governing permissions and
14 limitations under the License.
20 from mo.ops.op import Op
21 from mo.graph.graph import Node
22 from mo.front.extractor import FrontExtractorOp
23 from mo.front.onnx.extractors.utils import onnx_attr
24 from mo.ops.slice import Slice
27 class SliceFrontExtractor(FrontExtractorOp):
33 axis = np.array(onnx_attr(node, 'axes', 'ints', default=[]), dtype=np.int64)
34 start = np.array(onnx_attr(node, 'starts', 'ints', default=[]), dtype=np.int64)
35 end = np.array(onnx_attr(node, 'ends', 'ints', default=[]), dtype=np.int64)
38 'axis': axis if len(axis) != 0 else None,
39 'start': start if len(start) != 0 else None,
40 'end': end if len(end) != 0 else None,
43 # update the attributes of the node
44 Slice.update_node_stat(node, attrs)
45 return __class__.enabled