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
89 lines
4.7 KiB
Python
89 lines
4.7 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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import numpy as np
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from extensions.ops.sparse_segment_sqrtn import SparseSegmentSqrtN
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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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# graph 1
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nodes_attributes1 = {'input_data': {'shape': None, 'value': None, 'kind': 'data'},
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'input_indices': {'shape': None, 'value': None, 'kind': 'data'},
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'input_segment_ids': {'shape': None, 'value': None, 'kind': 'data'},
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'sparse_segment_sqrtn_node': {'op': 'SparseSegmentSqrtN', 'kind': 'op'},
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'output_segments': {'shape': None, 'value': None, 'kind': 'data'},
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}
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edges1 = [('input_data', 'sparse_segment_sqrtn_node', {'in': 0}),
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('input_indices', 'sparse_segment_sqrtn_node', {'in': 1}),
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('input_segment_ids', 'sparse_segment_sqrtn_node', {'in': 2}),
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('sparse_segment_sqrtn_node', 'output_segments', {'out': 0})]
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inputs1 = {'input_data': {'shape': int64_array([20, 4, 5]), 'value': None},
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'input_indices': {'shape': int64_array([40]), 'value': None},
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'input_segment_ids': {'shape': int64_array([40]), 'value': None}}
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# graph 2 with constant input, sqrtn
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nodes_attributes2 = {'input_data': {'shape': None, 'value': None, 'kind': 'data'},
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'input_indices': {'shape': None, 'value': None, 'kind': 'data'},
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'input_segment_ids': {'shape': None, 'value': None, 'kind': 'data'},
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'sparse_segment_sqrtn_node': {'op': 'SparseSegmentSqrtN', 'kind': 'op'},
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'output_segments': {'shape': None, 'value': None, 'kind': 'data'},
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}
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edges2 = [('input_data', 'sparse_segment_sqrtn_node', {'in': 0}),
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('input_indices', 'sparse_segment_sqrtn_node', {'in': 1}),
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('input_segment_ids', 'sparse_segment_sqrtn_node', {'in': 2}),
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('sparse_segment_sqrtn_node', 'output_segments', {'out': 0})]
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inputs2 = {'input_data': {'shape': int64_array([3, 4]), 'value': np.array([[1, 2, 3, 4], [-1, -2, -3, -4], [5, 6, 7, 8]], dtype=np.float)},
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'input_indices': {'shape': int64_array([3]), 'value': np.array([0, 2, 1, 1, 2], dtype=np.float)},
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'input_segment_ids': {'shape': int64_array([3]), 'value': np.array([0, 0, 0, 0, 2], dtype=np.float)}}
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class TestSparseSegmentSqrtN(unittest.TestCase):
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def test_partial_infer(self):
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graph = build_graph(nodes_attributes1, edges1, inputs1)
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sparse_segment_sqrtn_node = Node(graph, 'sparse_segment_sqrtn_node')
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SparseSegmentSqrtN.infer(sparse_segment_sqrtn_node)
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# prepare reference results
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ref_output_segments_shape = int64_array([40, 4, 5])
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# get resulted shapes
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res_output_segments_shape = graph.node['output_segments']['shape']
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self.assertTrue(np.array_equal(ref_output_segments_shape, res_output_segments_shape),
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'Shapes do not match expected: {} and given: {}'.format(ref_output_segments_shape, res_output_segments_shape))
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def test_incorrect_shapes(self):
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inputs = {'input_data': {'shape': int64_array([20, 4, 5]), 'value': None},
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'input_indices': {'shape': int64_array([39]), 'value': None},
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'input_segment_ids': {'shape': int64_array([40]), 'value': None}}
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graph = build_graph(nodes_attributes1, edges1, inputs)
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sparse_segment_sqrtn_node = Node(graph, 'sparse_segment_sqrtn_node')
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self.assertRaises(AssertionError, SparseSegmentSqrtN.infer, sparse_segment_sqrtn_node)
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def test_infer_constant_input_sqrtn(self):
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graph = build_graph(nodes_attributes2, edges2, inputs2)
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sparse_segment_sqrtn_node = Node(graph, 'sparse_segment_sqrtn_node')
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SparseSegmentSqrtN.infer(sparse_segment_sqrtn_node)
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# prepare reference results
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ref_output_segments_shape = int64_array([3, 4])
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ref_output_segments_value = np.array([[2, 2, 2, 2], [0, 0, 0, 0], [5, 6, 7, 8]], dtype=np.float)
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# get resulted shapes
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res_output_segments_shape = graph.node['output_segments']['shape']
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res_output_segments_value = graph.node['output_segments']['value']
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self.assertTrue(np.array_equal(ref_output_segments_shape, res_output_segments_shape),
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'Shapes do not match expected: {} and given: {}'.format(ref_output_segments_shape, res_output_segments_shape))
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self.assertTrue(np.array_equal(ref_output_segments_value, res_output_segments_value),
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'Shapes do not match expected: {} and given: {}'.format(ref_output_segments_value, res_output_segments_value))
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