114 lines
5.4 KiB
Python
114 lines
5.4 KiB
Python
"""
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Copyright (c) 2018-2019 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import unittest
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import numpy as np
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from extensions.ops.select import Select
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from mo.graph.graph import Node
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from mo.utils.unittest.graph import build_graph_with_attrs, compare_graphs
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class TestSelect(unittest.TestCase):
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nodes = [
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('than', {'value': np.ones((2, 2)), 'kind': 'data', 'executable': True, 'shape': np.array([2, 2])}),
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('else', {'value': np.zeros((2, 2)), 'kind': 'data', 'executable': True, 'shape': np.array([2, 2])}),
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('condition', {'value': None, 'kind': 'data', 'executable': True}),
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('select', {'type': 'Select', 'kind': 'op', 'op': 'Select'}),
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('select_output', {'value': None, 'kind': 'data', 'executable': True, 'shape': None}),
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]
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edges = [
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('condition', 'select', {'in': 0}),
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('than', 'select', {'in': 1}),
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('else', 'select', {'in': 2}),
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('select', 'select_output', {'out': 0}),
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]
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def test_select_infer_no_condition(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 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=[('select_output', {'shape': np.array([2, 2])})])
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tested_class = Select(graph=graph, attrs={})
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node = Node(graph, 'select')
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tested_class.infer(node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'select_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_select_infer_condition_true(self):
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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=[('condition', {'value': np.array([True])})])
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# We should propagate shapes and values
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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=[('select_output', {'shape': np.array([2, 2]),
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'value': np.ones((2,2))})])
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tested_class = Select(graph=graph, attrs={})
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node = Node(graph, 'select')
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tested_class.infer(node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'select_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_select_infer_condition_false(self):
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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=[('condition', {'value': np.array([False])})])
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# We should propagate shapes and values
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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=[('select_output', {'shape': np.array([2, 2]),
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'value': np.zeros((2, 2))})])
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tested_class = Select(graph=graph, attrs={})
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node = Node(graph, 'select')
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tested_class.infer(node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'select_output', check_op_attrs=True)
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self.assertTrue(flag, resp)
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def test_select_infer_assert_shapes(self):
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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=[('else', {'shape': np.array([3,3]), 'value':np.zeros((3,3))})])
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tested_class = Select(graph=graph, attrs={})
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node = Node(graph, 'select')
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with self.assertRaisesRegex(AssertionError, "TensorFlow \'Select\' operation has 3 inputs: \'condition\',"
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" \'then\' and \'else\' tensors.\'then\' and \'else\' tensors"
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" must have the same shape by TensorFlow reference"):
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tested_class.infer(node)
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def test_select_infer_assert_condition_bool(self):
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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=[('condition', {'value': np.array([3])})])
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tested_class = Select(graph=graph, attrs={})
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node = Node(graph, 'select')
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with self.assertRaisesRegex(AssertionError, "TensorFlow \'Select\' operation has 3 inputs: \'condition\',"
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" \'then\' and \'else\' tensors. Value of \'condition\' tensor"
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" must be boolen by TensorFlow reference"):
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tested_class.infer(node) |