Evgeny Lazarev
0a9d883d78
* Fixed extractor for ONNX ReduceXXX operations and fixed ReduceAxisNormalizer transformation * Unit test for ReduceAxisNormalizer transformation
77 lines
2.9 KiB
Python
77 lines
2.9 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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import numpy as np
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from extensions.front.reduce_axis_normalizer import ReduceAxisNormalizer
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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, result, connect_front, regular_op
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nodes = {
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**regular_op('parameter', {'type': 'Parameter'}),
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**regular_op('reduce', {'op': 'ReduceSum', 'axis': None}),
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**regular_op('axis', {'op': 'Const', 'type': 'Const', 'value': int64_array([1])}),
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**result(),
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}
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edges = [
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*connect_front('parameter:0', '0:reduce'),
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*connect_front('reduce', 'output'),
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]
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class ReduceAxisNormalizerTest(unittest.TestCase):
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def test_reduce_axis_is_None(self):
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graph = build_graph(nodes, edges, nodes_with_edges_only=True)
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graph.stage = 'front'
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ReduceAxisNormalizer().find_and_replace_pattern(graph)
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ref_nodes = nodes.copy()
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ref_nodes.update({**regular_op('rank', {'op': 'Rank', 'type': None}),
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**regular_op('range', {'op': 'Range', 'type': 'Range'}),
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**regular_op('begin', {'type': 'Const', 'value': int64_array([0])}),
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**regular_op('step', {'type': 'Const', 'value': int64_array([1])}),
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})
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graph_ref = build_graph(ref_nodes, [
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*edges,
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*connect_front('parameter:0', 'rank'),
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*connect_front('begin:0', '0:range'),
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*connect_front('rank:0', '1:range'),
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*connect_front('step:0', '2:range'),
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*connect_front('range:0', '1:reduce'),
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], nodes_with_edges_only=True)
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(flag, resp) = compare_graphs(graph, graph_ref, 'output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_reduce_axis_is_const(self):
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graph = build_graph(nodes, edges, {'reduce': {'axis': 1}}, nodes_with_edges_only=True)
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graph.stage = 'front'
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graph_ref = build_graph(nodes, [
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*edges,
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*connect_front('axis', '1:reduce'),
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], {'axis': {'value': np.int64(1)}}, nodes_with_edges_only=True)
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ReduceAxisNormalizer().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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