61 lines
2.7 KiB
Python
61 lines
2.7 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import unittest
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from extensions.front.AttributedRollToRoll import AttributedRollToRoll
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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.ir_engine.compare_graphs import compare_graphs
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from unit_tests.utils.graph import build_graph, const, result, regular_op
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nodes_attributes = {
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**regular_op('placeholder', {'type': 'Parameter'}),
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**regular_op('attr_roll', {'type': 'AttributedRoll', 'op': 'AttributedRoll', 'axes': int64_array([-1, 2, 3]),
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'shift': int64_array([5, -2, 3])}),
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**result('result'),
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# new Roll node and inputs
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**regular_op('roll', {'type': 'Roll'}),
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**const('roll_axes', int64_array([-1, 2, 3])),
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**const('roll_shift', int64_array([5, -2, 3]))
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}
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class AttributedRollToRollTest(unittest.TestCase):
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def test_axes_shift(self):
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graph = build_graph(nodes_attributes,
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[('placeholder', 'attr_roll', {'in': 0, 'out': 0}),
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('attr_roll', 'result', {'in': 0, 'out': 0})], {}, nodes_with_edges_only=True)
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graph_ref = build_graph(nodes_attributes,
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[('placeholder', 'roll', {'in': 0, 'out': 0}),
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('roll_shift', 'roll', {'in': 1, 'out': 0}),
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('roll_axes', 'roll', {'in': 2, 'out': 0}),
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('roll', 'result')], {}, nodes_with_edges_only=True)
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graph.stage = 'front'
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AttributedRollToRoll().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
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self.assertTrue(flag, resp)
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self.assertTrue(graph.node[graph.get_nodes_with_attributes(op='Roll')[0]]['name'] == 'attr_roll')
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def test_axes(self):
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graph = build_graph(nodes_attributes,
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[('placeholder', 'attr_roll', {'in': 0, 'out': 0}),
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('attr_roll', 'result', {'in': 0, 'out': 0})], {}, nodes_with_edges_only=True)
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Node(graph, 'attr_roll')['axes'] = None
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graph_ref = build_graph(nodes_attributes,
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[('placeholder', 'roll', {'in': 0, 'out': 0}),
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('roll_shift', 'roll', {'in': 1, 'out': 0}),
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('roll', 'result')], {}, nodes_with_edges_only=True)
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graph.stage = 'front'
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AttributedRollToRoll().find_and_replace_pattern(graph)
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(flag, resp) = compare_graphs(graph, graph_ref, 'result', check_op_attrs=True)
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self.assertTrue(flag, resp)
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self.assertTrue(graph.node[graph.get_nodes_with_attributes(op='Roll')[0]]['name'] == 'attr_roll')
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