61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
"""
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Copyright (C) 2017-2020 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.check_softmax_node_inputs import CheckSoftmaxNodeInputs
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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 TestCheckSoftmaxNodeInputs(unittest.TestCase):
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def test_remove_softmax_output_input(self):
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graph = build_graph(
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{'node_1': {'type': 'Identity', 'value': None, 'kind': 'op', 'op': 'Parameter'},
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'node_2': {'type': 'Identity', 'value': None, 'kind': 'op', 'op': 'Parameter'},
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'softmax': {'type': 'SoftmaxOutput', 'value': None, 'kind': 'op', 'op': 'SoftmaxOutput'},
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},
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[('node_1', 'softmax'),
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('node_2', 'softmax')
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])
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pattern = CheckSoftmaxNodeInputs()
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pattern.find_and_replace_pattern(graph)
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node_softmax = Node(graph, 'softmax')
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self.assertEqual(len(node_softmax.in_nodes()), 1)
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node_input1 = node_softmax.in_node(0)
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self.assertEqual(node_input1.name, 'node_1')
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def test_remove_softmax_activation_input(self):
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graph = build_graph(
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{'node_1': {'type': 'Identity', 'value': None, 'kind': 'op', 'op': 'Parameter'},
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'softmax': {'type': 'SoftmaxActivation', 'value': None, 'kind': 'op', 'op': 'SoftmaxActivation'},
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},
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[('node_1', 'softmax')])
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pattern = CheckSoftmaxNodeInputs()
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pattern.find_and_replace_pattern(graph)
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node_softmax = Node(graph, 'softmax')
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self.assertEqual(len(node_softmax.in_nodes()), 1)
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node_input1 = node_softmax.in_node(0)
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self.assertEqual(node_input1.name, 'node_1')
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