261 lines
9.6 KiB
Python
261 lines
9.6 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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import unittest
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from extensions.middle.SliceLikeToStridedSlice import SliceLikeToStridedSlice
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from mo.front.common.partial_infer.utils import int64_array
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from mo.utils.ir_engine.compare_graphs import compare_graphs
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from mo.utils.unittest.graph import build_graph
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nodes_attributes = {
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'input': {'kind': 'op', 'op': 'Const'},
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'input_data': {'kind': 'data'},
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'shape_like_input': {'kind': 'op', 'op': 'Const'},
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'shape_like_input_data': {'kind': 'data'},
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'slice_like': {'kind': 'op', 'op': 'slice_like'},
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'slice_like_data': {'kind': 'data', 'shape': None, 'value': None},
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'result': {'kind': 'op', 'op': 'Result'},
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'shape': {'kind': 'op', 'op': 'ShapeOf'},
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'shape_data': {'kind': 'data'},
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'rank_1_d': {'kind': 'op', 'op': 'ShapeOf'},
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'rank_1_d_data': {'kind': 'data'},
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'rank': {'kind': 'op', 'op': 'Squeeze'},
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'rank_data': {'kind': 'data'},
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'rank_const': {'kind': 'op', 'op': 'Const'},
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'rank_const_data': {'kind': 'data'},
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'shape_like': {'kind': 'op', 'op': 'ShapeOf'},
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'shape_like_data': {'kind': 'data'},
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'rank_like_1_d': {'kind': 'op', 'op': 'ShapeOf'},
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'rank_like_1_d_data': {'kind': 'data'},
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'rank_like': {'kind': 'op', 'op': 'Squeeze'},
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'rank_like_const': {'kind': 'op', 'op': 'Const'},
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'rank_like_const_data': {'kind': 'data'},
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'begin': {'kind': 'op', 'op': 'Const'},
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'begin_data': {'kind': 'data'},
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'ss': {'kind': 'op', 'op': 'StridedSlice'},
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'start_idx_like': {'kind': 'op', 'op': 'Const'},
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'start_idx_like_data': {'kind': 'data'},
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'end_idx_like': {'kind': 'op', 'op': 'Const'},
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'end_idx_like_data': {'kind': 'data'},
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'end_idx_like_const': {'kind': 'op', 'op': 'Const'},
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'end_idx_like_const_data': {'kind': 'data'},
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'end_idx_like_add': {'kind': 'op', 'op': 'Add'},
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'end_idx_like_add_data': {'kind': 'data'},
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'delta_like': {'kind': 'op', 'op': 'Const'},
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'delta_like_data': {'kind': 'data'},
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'range_like': {'kind': 'op', 'op': 'Range'},
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'range_like_data': {'kind': 'data'},
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'gather_like': {'kind': 'op', 'op': 't_gather'},
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'gather_like_data': {'kind': 'data'},
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'gather_like_axis': {'kind': 'op', 'op': 'Const'},
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'gather_like_axis_data': {'kind': 'data'},
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'concat': {'kind': 'op', 'op': 'Concat'},
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'concat_data': {'kind': 'data'},
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'start_idx': {'kind': 'op', 'op': 'Const'},
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'start_idx_data': {'kind': 'data'},
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'start_idx_const': {'kind': 'op', 'op': 'Const'},
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'start_idx_const_data': {'kind': 'data'},
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'start_idx_add': {'kind': 'op', 'op': 'Add'},
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'start_idx_add_data': {'kind': 'data'},
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'end_idx': {'kind': 'op', 'op': 'Add'},
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'end_idx_data': {'kind': 'data'},
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'end_idx_axis': {'kind': 'op', 'op': 'Const'},
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'end_idx_axis_data': {'kind': 'data'},
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'end_idx_const': {'kind': 'op', 'op': 'Const'},
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'end_idx_const_data': {'kind': 'data'},
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'end_idx_add': {'kind': 'op', 'op': 'Add'},
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'end_idx_add_data': {'kind': 'data'},
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'delta': {'kind': 'op', 'op': 'Const'},
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'delta_data': {'kind': 'data'},
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'range': {'kind': 'op', 'op': 'Range'},
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'range_data': {'kind': 'data'},
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't_gather': {'kind': 'op', 'op': 't_gather'},
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'gather_data': {'kind': 'data'},
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'gather_axis': {'kind': 'op', 'op': 'Const'},
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'gather_axis_data': {'kind': 'data'}
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}
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edges = [
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('input', 'input_data'),
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('input_data', 'slice_like', {'in': 0}),
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('shape_like_input', 'shape_like_input_data'),
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('shape_like_input_data', 'slice_like', {'in': 1}),
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('slice_like', 'slice_like_data'),
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('slice_like_data', 'result')
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]
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same_input_shapes_dims_edges = [
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('input', 'input_data'),
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('input_data', 'ss', {'in': 0}),
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('ss', 'slice_like_data'),
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('slice_like_data', 'result'),
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('shape_like_input', 'shape_like_input_data'),
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('shape_like_input_data', 'shape_like'),
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('shape_like', 'shape_like_data'),
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('shape_like_data', 'ss', {'in': 2}),
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('begin', 'begin_data'),
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('begin_data', 'ss', {'in': 1})
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]
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shape_like_sub_graph_edges = [
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('input', 'input_data'),
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('input_data', 'ss', {'in': 0}),
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('ss', 'slice_like_data'),
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('slice_like_data', 'result'),
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('begin', 'begin_data'),
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('begin_data', 'ss', {'in': 1}),
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('shape_like_input', 'shape_like_input_data'),
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('shape_like_input_data', 'shape_like'),
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('shape_like', 'shape_like_data'),
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('shape_like_data', 'rank_like_1_d'),
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('rank_like_1_d', 'rank_like_1_d_data'),
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('rank_like_1_d_data', 'rank_like', {'in': 0}),
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('rank_like_const', 'rank_like_const_data'),
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('rank_like_const_data', 'rank_like', {'in': 1}),
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('end_idx_like', 'end_idx_like_data'),
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('end_idx_like_const', 'end_idx_like_const_data'),
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('end_idx_like_data', 'end_idx_like_add', {'in': 0}),
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('end_idx_like_const_data', 'end_idx_like_add', {'in': 1}),
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('end_idx_like_add', 'end_idx_like_add_data'),
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('end_idx_like_add_data', 'range_like', {'in': 1}),
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('start_idx_like', 'start_idx_like_data'),
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('start_idx_like_data', 'range_like', {'in': 0}),
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('delta_like', 'delta_like_data'),
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('delta_like_data', 'range_like', {'in': 2}),
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('range_like', 'range_like_data'),
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('range_like_data', 'gather_like', {'in': 1}),
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('shape_like_data', 'gather_like', {'in': 0}),
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('gather_like_axis', 'gather_like_axis_data'),
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('gather_like_axis_data', 'gather_like', {'in': 2}),
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('gather_like', 'gather_like_data')
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]
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last_axis_index = shape_like_sub_graph_edges + [('gather_like_data', 'ss', {'in': 2})]
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input_sub_graph_edges = [
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('input_data', 'shape'),
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('shape', 'shape_data'),
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('shape_data', 'rank_1_d'),
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('rank_1_d', 'rank_1_d_data'),
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('rank_1_d_data', 'rank', {'in': 0}),
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('rank_const', 'rank_const_data'),
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('rank_const_data', 'rank', {'in': 1}),
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('rank', 'rank_data'),
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('rank_data', 'end_idx', {'in': 0}),
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('end_idx_axis', 'end_idx_axis_data'),
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('end_idx_axis_data', 'end_idx', {'in': 1}),
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('end_idx', 'end_idx_data'),
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('end_idx_data', 'end_idx_add', {'in': 0}),
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('end_idx_const', 'end_idx_const_data'),
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('end_idx_const_data', 'end_idx_add', {'in': 1}),
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('start_idx', 'start_idx_data'),
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('start_idx_data', 'start_idx_add', {'in': 0}),
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('start_idx_const', 'start_idx_const_data'),
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('start_idx_const_data', 'start_idx_add', {'in': 1}),
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('end_idx_add', 'end_idx_add_data'),
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('start_idx_add', 'start_idx_add_data'),
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('delta', 'delta_data'),
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('start_idx_add_data', 'range', {'in': 0}),
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('end_idx_add_data', 'range', {'in': 1}),
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('delta_data', 'range', {'in': 2}),
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('range', 'range_data'),
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('range_data', 't_gather', {'in': 1}),
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('shape_data', 't_gather', {'in': 0}),
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('gather_axis', 'gather_axis_data'),
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('gather_axis_data', 't_gather', {'in': 2}),
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('t_gather', 'gather_data'),
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('gather_data', 'concat', {'in': 1}),
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('concat', 'concat_data'),
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('concat_data', 'ss', {'in': 2}),
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('gather_like_data', 'concat', {'in': 0})
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]
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input_part_shape_edges = shape_like_sub_graph_edges + input_sub_graph_edges
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class SliceLikeToStridedSliceTest(unittest.TestCase):
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def test_1(self):
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graph = build_graph(
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nodes_attributes,
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edges,
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update_attributes={
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'input_data': {'shape': int64_array([1, 224, 224, 3])},
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'shape_like_input_data': {'shape': int64_array([2, 2, 2, 2])},
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'slice_like': {'axes': int64_array([2, 3])}
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},
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nodes_with_edges_only=True
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)
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SliceLikeToStridedSlice().find_and_replace_pattern(graph)
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ref_graph = build_graph(
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nodes_attributes,
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same_input_shapes_dims_edges,
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nodes_with_edges_only=True
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)
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flag, resp = compare_graphs(graph, ref_graph, 'result')
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self.assertTrue(flag, resp)
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def test_2(self):
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graph = build_graph(
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nodes_attributes,
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edges,
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update_attributes={
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'input_data': {'shape': int64_array([1, 224, 224, 3])},
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'shape_like_input_data': {'shape': int64_array([2, 2, 2, 2, 2])},
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'slice_like': {'axes': int64_array([2, 3])}
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},
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nodes_with_edges_only=True
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)
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SliceLikeToStridedSlice().find_and_replace_pattern(graph)
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ref_graph = build_graph(
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nodes_attributes,
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last_axis_index,
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nodes_with_edges_only=True
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)
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flag, resp = compare_graphs(graph, ref_graph, 'result')
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self.assertTrue(flag, resp)
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def test_3(self):
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graph = build_graph(
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nodes_attributes,
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edges,
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update_attributes={
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'input_data': {'shape': int64_array([1, 224, 224, 3])},
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'shape_like_input_data': {'shape': int64_array([2, 2, 2, 2, 2])},
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'slice_like': {'axes': int64_array([1, 2])}
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},
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nodes_with_edges_only=True
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)
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SliceLikeToStridedSlice().find_and_replace_pattern(graph)
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ref_graph = build_graph(
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nodes_attributes,
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input_part_shape_edges,
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nodes_with_edges_only=True
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)
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flag, resp = compare_graphs(graph, ref_graph, 'result')
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self.assertTrue(flag, resp)
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