93 lines
3.3 KiB
Python
93 lines
3.3 KiB
Python
"""
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Copyright (C) 2018-2020 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.elementwise import Round
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from mo.graph.graph import Node
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from mo.utils.unittest.graph import build_graph
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def round_test_graph(nodes_attributes, value, mode: str):
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graph = build_graph(nodes_attributes,
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[
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('node_1', 'elementwise_node'),
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('elementwise_node', 'node_3')
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],
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{
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'node_1': {
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'value': value
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},
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'elementwise_node': {
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'op': 'Round',
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'mode': mode,
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},
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'node_3': {
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'value': None
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}
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})
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return graph
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class TestElementwiseOp(unittest.TestCase):
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nodes_attributes = {
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'node_1': {
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'shape': np.array([13]),
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'value': None
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},
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'elementwise_node': {
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'op': None,
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'kind': 'op',
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'operation': None
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},
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'node_3': {
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'shape': None
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}
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}
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value = np.array([-23.5, -22.5, -2.5, -1.5, -0.5, 0.5, 0.9, 1.5, 2.3, 2.5, 3.5, 22.5, 23.5])
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def test_elementwise_round_even_infer(self):
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graph = round_test_graph(self.nodes_attributes, self.value, 'half_to_even')
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graph.graph['layout'] = 'NCHW'
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elementwise_node = Node(graph, 'elementwise_node')
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Round.infer(elementwise_node)
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exp_shape = np.array([13])
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res_shape = graph.node['node_3']['shape']
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res_value = graph.node['node_3']['value']
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exp_value = np.array([-24., -22., -2., -2., -0., 0., 1., 2., 2., 2., 4., 22., 24.,])
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for i, value in enumerate(exp_shape):
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self.assertEqual(res_shape[i], value)
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for i, value in enumerate(exp_value):
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self.assertAlmostEqual(res_value[i], value)
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def test_elementwise_round_away_infer(self):
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graph = round_test_graph(self.nodes_attributes, self.value, 'half_away_from_zero')
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graph.graph['layout'] = 'NCHW'
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elementwise_node = Node(graph, 'elementwise_node')
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Round.infer(elementwise_node)
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exp_shape = np.array([13])
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res_shape = graph.node['node_3']['shape']
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res_value = graph.node['node_3']['value']
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exp_value = np.array([-24., -23., -3., -2., -1., 1., 1., 2., 2., 3., 4., 23., 24.])
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for i, value in enumerate(exp_shape):
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self.assertEqual(res_shape[i], value)
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for i, value in enumerate(exp_value):
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self.assertAlmostEqual(res_value[i], value)
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