92 lines
3.9 KiB
Python
92 lines
3.9 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.psroipooling import PSROIPoolingOp
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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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nodes_attributes = {'node_1': {'type': 'Identity', 'kind': 'op'},
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'node_2': {'type': 'Identity', 'kind': 'op'},
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'psroipool': {'type': 'PSROIPooling', 'kind': 'op'},
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'node_3': {'type': 'Identity', 'kind': 'op'},
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'op_output': { 'kind': 'op', 'op': 'Result'}
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}
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class TestPSROIPooling(unittest.TestCase):
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def test_psroipool_infer_nchw(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'psroipool'),
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('node_2', 'psroipool'),
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('psroipool', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': np.array([1, 3, 227, 227])},
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'node_2': {'shape': np.array([100, 5])},
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'psroipool': {'output_dim': 4, 'group_size': 15}
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})
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graph.graph['layout'] = 'NCHW'
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psroipool_node = Node(graph, 'psroipool')
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PSROIPoolingOp.psroipooling_infer(psroipool_node)
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exp_shape = np.array([100, 4, 15, 15])
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res_shape = graph.node['node_3']['shape']
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for i in range(0, len(exp_shape)):
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self.assertEqual(exp_shape[i], res_shape[i])
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def test_psroipool_infer_nhwc(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'psroipool'),
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('node_2', 'psroipool'),
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('psroipool', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': np.array([1, 227, 227, 3])},
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'node_2': {'shape': np.array([100, 5])},
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'psroipool': {'output_dim': 4, 'group_size': 15}
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})
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graph.graph['layout'] = 'NHWC'
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psroipool_node = Node(graph, 'psroipool')
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PSROIPoolingOp.psroipooling_infer(psroipool_node)
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exp_shape = np.array([100, 15, 15, 4])
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res_shape = graph.node['node_3']['shape']
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for i in range(0, len(exp_shape)):
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self.assertEqual(exp_shape[i], res_shape[i])
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def test_psroipool_infer_no_shape(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'psroipool'),
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('node_2', 'psroipool'),
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('psroipool', 'node_3'),
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('node_3', 'op_output')
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],
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{'node_3': {'shape': None},
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'node_1': {'shape': None},
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'node_2': {'shape': np.array([100, 5])},
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'psroipool': {'output_dim': 4, 'group_size': 224}
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})
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graph.graph['layout'] = 'NCHW'
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psroipool_node = Node(graph, 'psroipool')
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PSROIPoolingOp.psroipooling_infer(psroipool_node)
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res_shape = graph.node['node_3']['shape']
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self.assertIsNone(res_shape)
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