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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.front.mxnet.extractors.utils import get_mxnet_layer_attrs
from mo.front.extractor import FrontExtractorOp
from mo.ops.const import Const
class ZerosFrontExtractor(FrontExtractorOp):
op = '_zeros'
enabled = True
@staticmethod
def extract(node):
attrs = get_mxnet_layer_attrs(node.symbol_dict)
shape = list(attrs.tuple('shape', int, None))
for i, s in enumerate(shape):
if s == 0:
shape[i] = 1
update_attrs = {
'shape': np.ndarray(shape),
'value': np.zeros(shape),
}
# update the attributes of the node
Const.update_node_stat(node, update_attrs)
return __class__.enabled
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