2 Copyright (c) 2018 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.
19 from mo.front.extractor import FrontExtractorOp
20 from mo.ops.op import Op
22 from mo.front.onnx.extractors.utils import onnx_attr
25 class ImageScalerFrontExtractor(FrontExtractorOp):
31 dst_type = lambda x: np.array(x)
33 scale = onnx_attr(node, 'scale', 'f', default=np.array(1.0), dst_type=dst_type)
34 bias = onnx_attr(node, 'bias', 'floats', default=None, dst_type=dst_type)
36 # Expand dims for bias in case if it is not scalar
38 broadcast_dims_cnt = 2 if node.graph.graph['layout'] == 'NCHW' else 0
39 for idx in range(broadcast_dims_cnt):
40 bias = np.expand_dims(bias, axis=-1)
45 return __class__.enabled