76 lines
3.1 KiB
Python
76 lines
3.1 KiB
Python
"""
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Copyright (c) 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.upsample import UpsampleOp
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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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'upsample': {'type': 'Upsample', '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 TestUpsampleOp(unittest.TestCase):
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def test_upsample_with_scales_infer(self):
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graph = build_graph(nodes_attributes,
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[('node_1', 'upsample'),
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('upsample', '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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'upsample': {'mode': 'linear',
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'height_scale': 2.,
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'width_scale': 2.}
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})
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graph.graph['layout'] = 'NCHW'
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upsample_node = Node(graph, 'upsample')
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UpsampleOp.upsample_infer(upsample_node)
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exp_shape = np.array([1, 3, 454, 454])
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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_upsample_with_second_input_infer(self):
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nodes_attributes['scales'] = {'kind': 'data', 'value': np.array([1., 1., 2., 2.])}
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graph = build_graph(nodes_attributes,
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[('node_1', 'upsample'),
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('scales', 'upsample'),
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('upsample', '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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'upsample': {'mode': 'linear',
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'height_scale': None,
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'width_scale': None}
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})
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graph.graph['layout'] = 'NCHW'
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upsample_node = Node(graph, 'upsample')
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UpsampleOp.upsample_infer(upsample_node)
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exp_shape = np.array([1, 3, 454, 454])
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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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