118 lines
6.0 KiB
Python
118 lines
6.0 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.merge import Merge
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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_with_attrs
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class TestMerge(unittest.TestCase):
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nodes = [
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('first', {'value': np.ones((2, 2)), 'kind': 'data', 'executable': True, 'shape': np.array([2, 2]),
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'is_partial_inferred': True}),
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('second', {'value': np.zeros((2, 2)), 'kind': 'data', 'executable': False, 'shape': np.array([2, 2]),
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'is_partial_inferred': True}),
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('merge', {'type': 'Merge', 'kind': 'op', 'op': 'Merge'}),
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('merge_output', {'value': None, 'kind': 'data', 'executable': True, 'shape': None}),
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]
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edges = [
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('first', 'merge', {'in': 0}),
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('second', 'merge', {'in': 1}),
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('merge', 'merge_output', {'out': 0}),
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]
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def test_merge_infer_simple_case_one_executable(self):
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graph = build_graph_with_attrs(nodes_with_attrs=self.nodes, edges_with_attrs=self.edges)
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# We should propagate value of the first input since only this input is executable
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graph_ref = build_graph_with_attrs(nodes_with_attrs=self.nodes,
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edges_with_attrs=self.edges,
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update_nodes_attributes=[('merge_output', {'shape': np.array([2, 2]),
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'value': np.ones((2,2))}),
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('merge', {'is_not_fully_inferred': False})])
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tested_class = Merge(graph=graph, attrs={})
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node = Node(graph, 'merge')
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tested_class.merge_infer(node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'merge_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_merge_infer_complex_case(self):
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"""
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Case as in cycles when in first visit only one input are inferred and in the second -- both.
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"""
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graph = build_graph_with_attrs(nodes_with_attrs=self.nodes, edges_with_attrs=self.edges,
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update_nodes_attributes=[('first', {'is_partial_inferred': False,
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'value': None}),
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('second', {'executable': True})])
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# In first visit we should propagate only shapes
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graph_ref = build_graph_with_attrs(nodes_with_attrs=self.nodes,
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edges_with_attrs=self.edges,
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update_nodes_attributes=[('second', {'executable': True}),
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('first', {'is_partial_inferred': False,
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'value': None}),
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('merge_output', {'shape': np.array([2, 2]),
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'value': None}),
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('merge', {'is_not_fully_inferred': True})])
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tested_class = Merge(graph=graph, attrs={})
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node = Node(graph, 'merge')
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tested_class.merge_infer(node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'merge_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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# Imitate that inputs nodes now is inferred
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graph.node['first']['is_partial_inferred'] = True
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# Run infer second time
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tested_class = Merge(graph=graph, attrs={})
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node = Node(graph, 'merge')
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tested_class.merge_infer(node)
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graph_ref = build_graph_with_attrs(nodes_with_attrs=self.nodes,
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edges_with_attrs=self.edges,
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update_nodes_attributes=[('second', {'executable': True}),
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('first', {'is_partial_inferred': True,
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'value': None}),
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('merge_output', {'shape': np.array([2, 2]),
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'value': None}),
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('merge', {'is_not_fully_inferred': False})])
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(flag, resp) = compare_graphs(graph, graph_ref, 'merge_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_merge_infer_only_second_executable(self):
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graph = build_graph_with_attrs(
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nodes_with_attrs=self.nodes,
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edges_with_attrs=self.edges,
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update_nodes_attributes=[
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('first', {'executable': False, 'value': np.ones([2, 2]), 'shape': int64_array([2, 2])}),
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('second', {'executable': True, 'value': np.zeros([4, 4]), 'shape': int64_array([4, 4])})
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]
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)
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ref_graph = build_graph_with_attrs(
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nodes_with_attrs=self.nodes,
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edges_with_attrs=self.edges,
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update_nodes_attributes=[
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('first', {'executable': False, 'value': np.ones([2, 2]), 'shape': int64_array([2, 2])}),
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('second', {'executable': True, 'value': np.zeros([4, 4]), 'shape': int64_array([4, 4])}),
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('merge', {'is_not_fully_inferred': False}),
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('merge_output', {'shape': int64_array([4, 4]), 'value': np.zeros([4, 4])})
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]
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)
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tested_class = Merge(graph=graph, attrs={})
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node = Node(graph, 'merge')
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tested_class.merge_infer(node)
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(flag, resp) = compare_graphs(graph, ref_graph, 'merge_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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