49 lines
1.8 KiB
Python
49 lines
1.8 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.analysis.inputs import InputsAnalysis
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from mo.front.common.partial_infer.utils import int64_array
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from mo.utils.unittest.graph import build_graph_with_edge_attrs
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class IteratorGetNextAnalysisTest(unittest.TestCase):
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def test_positive(self):
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graph = build_graph_with_edge_attrs(
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{
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'iter_get_next': {'kind': 'op', 'op': 'IteratorGetNext', 'shapes': int64_array([[2, 2], [1, 1]]),
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'types': [None, None]},
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'sub': {'kind': 'op', 'op': 'Sub'},
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'add': {'kind': 'op', 'op': 'Add'}
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},
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[
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('iter_get_next', 'sub', {'out': 0, 'in': 0}),
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('iter_get_next', 'add', {'out': 1, 'in': 0})
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]
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)
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inputs_desc = {}
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message = InputsAnalysis.iterator_get_next_analysis(graph, inputs_desc)
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ref_message = 'It looks like there is IteratorGetNext as input\n' \
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'Run the Model Optimizer with:\n\t\t--input "iter_get_next:0[2 2],iter_get_next:1[1 1]"\n' \
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'And replace all negative values with positive values'
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self.assertEqual(message, ref_message)
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def test_negative(self):
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graph = build_graph_with_edge_attrs(
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{
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'placeholder': {'kind': 'op', 'op': 'Parameter'},
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'sub': {'kind': 'op', 'op': 'Sub'},
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'add': {'kind': 'op', 'op': 'Add'}
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},
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[
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('placeholder', 'sub', {'out': 0, 'in': 0}),
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('placeholder', 'add', {'out': 0, 'in': 0})
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]
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)
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inputs_desc = {}
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message = InputsAnalysis.iterator_get_next_analysis(graph, inputs_desc)
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self.assertEqual(message, None)
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