48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from extensions.back.ConvolutionNormalizer import DeconvolutionNormalizer
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from extensions.back.CropToStridedSlice import CropToStridedSlice
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from mo.back.replacement import BackReplacementPattern
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Graph, Node
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class StridedSliceMasksNormalizer(BackReplacementPattern):
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enabled = True
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force_clean_up = True
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graph_condition = [lambda graph: graph.graph['cmd_params'].generate_experimental_IR_V10]
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def run_after(self):
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return [CropToStridedSlice, DeconvolutionNormalizer]
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@staticmethod
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def pattern():
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return dict(
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nodes=[
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('strided_slice', dict(type='StridedSlice'))
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],
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edges=[]
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)
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def replace_pattern(self, graph: Graph, match: [str, Node]):
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node = match['strided_slice']
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assert node.has_valid('begin_mask')
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assert node.has_valid('end_mask')
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node.begin_mask = int64_array([1 - i for i in node.begin_mask])
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node.end_mask = int64_array([1 - i for i in node.end_mask])
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