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.
17 from mo.front.extractor import FrontExtractorOp
18 from mo.front.onnx.extractors.utils import onnx_attr
19 from mo.graph.graph import Node
20 from mo.ops.reduce import Reduce
23 class ReduceSumFrontExtractor(FrontExtractorOp):
28 def extract(node: Node):
29 axis = onnx_attr(node, 'axes', 'ints', default=None, dst_type= lambda x: np.array(x, dtype=np.int64))
30 keep_dims = onnx_attr(node, 'keepdims', 'i', default=True)
31 Reduce.update_node_stat(node, {'axis': axis, 'keep_dims': keep_dims, 'reduce_type': 'sum'})
32 return __class__.enabled