Evgeny Lazarev
f3d1aa6490
* Removed test-generator from all MO requirement files except the dev one * Moved all MO unit tests files to a separate directory * Added __init__.py files to the tests directory. Fixed importing paths for some unit tests * Fixed imports in all unit tests. Moved all unit test related files from the MO code to the dedicated directory * Renamed directory with unit test utils * Updated imports in unit tests
51 lines
2.4 KiB
Python
51 lines
2.4 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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import numpy as np
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from extensions.ops.sparse_reshape import SparseReshape
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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 unit_tests.utils.graph import build_graph
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nodes_attributes = {'input_indices': {'shape': None, 'value': None, 'kind': 'data'},
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'input_shape': {'shape': None, 'value': None, 'kind': 'data'},
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'new_shape': {'shape': None, 'value': None, 'kind': 'data'},
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'sparse_reshape_node': {'op': 'SparseReshape', 'kind': 'op'},
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'output_indices': {'shape': None, 'value': None, 'kind': 'data'},
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'output_shape': {'shape': None, 'value': None, 'kind': 'data'}}
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# graph 1
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edges1 = [('input_indices', 'sparse_reshape_node', {'in': 0}),
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('input_shape', 'sparse_reshape_node', {'in': 1}),
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('new_shape', 'sparse_reshape_node', {'in': 2}),
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('sparse_reshape_node', 'output_indices', {'out': 0}),
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('sparse_reshape_node', 'output_shape', {'out': 1})]
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inputs1 = {'input_indices': {'shape': int64_array([5, 2]), 'value': None},
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'input_shape': {'shape': int64_array([2]), 'value': int64_array([4, 5])},
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'new_shape': {'shape': int64_array([3]), 'value': int64_array([5, -1, 2])}}
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class TestSparseReshape(unittest.TestCase):
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def test_partial_infer1(self):
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graph = build_graph(nodes_attributes, edges1, inputs1)
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sparse_reshape_node = Node(graph, 'sparse_reshape_node')
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SparseReshape.infer(sparse_reshape_node)
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# prepare reference results
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ref_output_indices_shape = np.array([5, 3], dtype=np.int32)
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ref_output_shape_value = np.array([5, 2, 2], dtype=np.int32)
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# get the result
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res_output_indices_shape = graph.node['output_indices']['shape']
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res_output_shape_value = graph.node['output_shape']['value']
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self.assertTrue(np.array_equal(ref_output_indices_shape, res_output_indices_shape),
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'shapes do not match expected: {} and given: {}'.format(ref_output_indices_shape, res_output_indices_shape))
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self.assertTrue(np.array_equal(ref_output_shape_value, res_output_shape_value),
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'values do not match expected: {} and given: {}'.format(ref_output_shape_value, res_output_shape_value))
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