* Initial support of GatherElements in MO and nGraph * apply_style * added lost extractor for GatherElements * Corrected GatherElements::validate_and_infer_types * updated package_BOM.txt * Type_t added * started to implement ngraph shape_type_infer unit-tests * finally implemented all ngraph shape_inference unit-tests * updated Supported_Frameworks_Layers.md * added correct handling of dynamic shapes in nGraph, added unit-tests for dynamic cases, fixed dump typos in MO, replaced axis type from int -> int64_t * implemented shape infer for dynamic shapes with intervals * finalized MO implementation * applied comment from review * style-apply * spec correction * removed conflict * fixed typos * removed obsolete comments form type_prop * significant corrections in validate_and_infer_types * style-apply * data_rank check for axis
116 lines
3.1 KiB
Python
116 lines
3.1 KiB
Python
"""
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Copyright (C) 2017-2020 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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import numpy as np
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from generator import generator, generate
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from extensions.ops.gatherelements import GatherElements
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Node
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from mo.utils.unittest.graph import build_graph, regular_op_with_empty_data, result, connect, \
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valued_const_with_data
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@generator
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class GatherElementsInferTest(unittest.TestCase):
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@generate(*[
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([[1, 2],
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[3, 4]],
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[[0, 1],
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[0, 0]],
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0, # axis
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[[1, 4], # ref_res
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[1, 2]]),
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([[1, 2],
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[3, 4]],
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[[0, 1],
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[0, 0]],
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1, # axis
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[[1, 2], # ref_res
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[3, 3]]),
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([[1, 2, 3],
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[4, 5, 6],
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[7, 8, 9]],
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[[1, 2, 0],
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[2, 0, 0]],
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0, # axis
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[[4, 8, 3], # ref_res
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[7, 2, 3]]),
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([[1, 2],
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[3, 4]],
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[[0, 1],
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[0, 0]],
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-1, # axis
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[[1, 2], # ref_res
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[3, 3]]),
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([ # 3D case
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[[1, 2],
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[3, 4]],
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[[5, 6],
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[7, 8]],
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[[9, 10],
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[11, 12]]
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],
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[
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[[1, 0],
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[0, 1]],
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[[1, 1],
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[1, 0]],
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[[0, 0],
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[1, 1]]
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],
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-1, # axis
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[
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[[2, 1],
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[3, 4]],
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[[6, 6],
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[8, 7]],
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[[9, 9],
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[12, 12]]
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]),
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])
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def test_gatherelements_value_infer(self, data, indices, axis, ref_res):
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nodes = {
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**valued_const_with_data('data', int64_array(data)),
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**valued_const_with_data('indices', int64_array(indices)),
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**regular_op_with_empty_data('gather_elements', {'op': 'GatherElements', 'axis': axis}),
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**result()
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}
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graph = build_graph(nodes_attrs=nodes, edges=[
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*connect('data', '0:gather_elements'),
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*connect('indices', '1:gather_elements'),
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*connect('gather_elements', 'output')
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], nodes_with_edges_only=True)
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graph.stage = 'middle'
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gather_el_node = Node(graph, 'gather_elements')
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GatherElements.infer(gather_el_node)
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res_output_shape = gather_el_node.out_node().shape
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self.assertTrue(np.array_equal(int64_array(ref_res).shape, res_output_shape))
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res_output_value = gather_el_node.out_node().value
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if res_output_value is not None:
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self.assertTrue(np.array_equal(int64_array(ref_res), res_output_value))
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