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# """
# Copyright (c) 2018 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.ops.squeeze import Squeeze
from mo.front.extractor import FrontExtractorOp
from mo.front.onnx.extractors.utils import onnx_attr
class SqueezeFrontExtractor(FrontExtractorOp):
op = 'Squeeze'
enabled = True
@staticmethod
def extract(node):
axis = np.array(onnx_attr(node, 'axes', 'ints', default=[]), dtype=np.int64)
attrs = {
'squeeze_dims': axis if len(axis) != 0 else None
}
# update the attributes of the node
Squeeze.update_node_stat(node, attrs)
return __class__.enabled
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