64 lines
2.3 KiB
Python
64 lines
2.3 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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from extensions.front.mxnet.activation import ActivationFrontExtractor
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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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class TestActivationFrontExtractorOp(unittest.TestCase):
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def test_extract_sigmoid_layer(self):
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graph = build_graph(
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{'node_1': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'act_node': {'type': 'Activation', 'kind': 'op', 'op': 'Activation', },
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'node_2': {'type': 'Identity', 'kind': 'op'},
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},
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[
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('node_1', 'act_node'),
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('act_node', 'node_2'),
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],
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{
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'act_node': {'symbol_dict': {'attrs': {'act_type': 'sigmoid'}}},
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})
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act_node = Node(graph, 'act_node')
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act_extr_op = ActivationFrontExtractor()
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supported = act_extr_op.extract(act_node)
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self.assertTrue(supported)
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self.assertEqual(act_node['op'], 'Sigmoid')
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def test_extract_relu_layer(self):
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graph = build_graph(
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{'node_1': {'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
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'act_node': {'type': 'relu', 'kind': 'op', 'op': 'Activation', },
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'node_2': {'type': 'Identity', 'kind': 'op'},
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},
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[
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('node_1', 'act_node'),
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('act_node', 'node_2'),
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],
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{
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'act_node': {'symbol_dict': {'attrs': {'act_type': 'relu'}}},
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})
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act_node = Node(graph, 'act_node')
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act_extr_op = ActivationFrontExtractor()
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supported = act_extr_op.extract(act_node)
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self.assertTrue(supported)
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self.assertEqual(act_node['op'], 'ReLU')
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