""" Copyright (c) 2018-2019 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. """ import numpy as np from mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs from mo.front.extractor import FrontExtractorOp from mo.ops.pad import Pad class PadFrontExtractor(FrontExtractorOp): op = 'Pad' enabled = True @staticmethod def extract(node): attrs = get_mxnet_layer_attrs(node.symbol_dict) pads = np.array(list(attrs.tuple('pad_width', int, None))) pads = pads.reshape([-1, 2]) value = attrs.float('constant_value', 0.0) node_attrs = { 'pads': pads, 'mode': attrs.str('mode', None), 'fill_value': value, } Pad.update_node_stat(node, node_attrs) return __class__.enabled