22169a05b9
* fix ss * successfully converted * successfully run moved infer and normalizer unit-tests * successfully rewritten StridedSlice infer unittests * int64 array * Successfully converter crash-when-loading, xj_feauture and toy nets (cherry-picked maxpoolV4 and tf_broadcast_ext) * successfully moved PermuteAttrs to general mechanism * successfully converted xj_feauture and crash when loading with the new rewritten SS infer * fixed get_shape_from_slice and moved to common utils * fixed extending masks and some other * some refactoring * fixed extending masks in extractor, fixed licence year and some other code clearing * corrected a couple of unittests * fox permute for 5 rank slice and 4 rank inputs/ * WIP * Added comments * fixed StridedSlice in ProposalMutation.py * rechecked shape_infer unittests added some new cases * added shape_infer unit-tests after StridedSliceNormalizer pass and Permute unit-tests * corrected unittests * Applied review comments * general permutations for inputs implemented, corrected ellipsis unrolling when shrink_axis is at the beginning, some other corrections * removed code duplication in infer and normalizer, moved 'slices' attr normalizing to StridedSliceNormalizer.py * removed some code duplication and other minor improvements * Added tests * minor corrections * wider range of unittests added (froze the number) * review comments applied * enabled skipped unit-test * comment corrections * applied review comments: changed op -> type, added some asserts, corrected comments and other minor corrections * sorted inputs, updated Supported_Frameworks_Layers.md, some minor
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
"""
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Copyright (C) 2018-2021 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 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
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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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def run_after(self):
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from extensions.back.ConvolutionNormalizer import DeconvolutionNormalizer
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from extensions.back.CropToStridedSlice import CropToStridedSlice
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return [CropToStridedSlice, DeconvolutionNormalizer]
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def find_and_replace_pattern(self, graph: Graph):
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for node in graph.get_op_nodes(type='StridedSlice'):
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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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