111 lines
4.3 KiB
Python
111 lines
4.3 KiB
Python
"""
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Copyright (c) 2018-2019 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 generator import generator
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from mo.front.common.partial_infer.utils import int64_array
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from mo.graph.graph import Node
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from mo.ops.unsqueeze import Unsqueeze
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from mo.utils.unittest.graph import build_graph, compare_graphs
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@generator
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class TestUnsqueezeOp(unittest.TestCase):
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nodes_attributes = {
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'data_1': {
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'kind': 'data',
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'shape': None,
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'value': None,
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},
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'unsq': {
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'op': 'Unsqueeze',
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'kind': 'op',
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},
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'unsq_dims_const': {
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'op': 'Const',
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'kind': 'op',
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},
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'unsq_dims': {
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'kind': 'data',
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},
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'data_2': {
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'kind': 'data',
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'shape': None,
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'value': None,
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}
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}
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def test_unsqueeze_infer(self):
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unsq_dims = np.array([0, 4])
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graph = build_graph(self.nodes_attributes,
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[('data_1', 'unsq'),
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('unsq_dims_const', 'unsq_dims'),
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('unsq_dims', 'unsq'),
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('unsq', 'data_2')],
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{'data_1': {'shape': np.array([1, 3, 64, 64])},
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'unsq_dims': {'value': unsq_dims, 'shape': unsq_dims.shape},
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'unsq_dims_const': {'value': unsq_dims, 'shape': unsq_dims.shape},
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})
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graph_ref = build_graph(self.nodes_attributes,
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[('data_1', 'unsq'),
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('unsq_dims_const', 'unsq_dims'),
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('unsq_dims', 'unsq'),
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('unsq', 'data_2')],
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{'data_1': {'shape': np.array([1, 3, 64, 64])},
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'unsq_dims': {'value': unsq_dims, 'shape': unsq_dims.shape},
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'unsq_dims_const': {'value': unsq_dims, 'shape': unsq_dims.shape},
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'data_2': {'shape': np.array([1, 1, 3, 64, 1, 64])},
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})
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unsqueeze_node = Node(graph, 'unsq')
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Unsqueeze.infer(unsqueeze_node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'data_2')
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self.assertTrue(flag, resp)
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def test_unsqueeze_infer_negative_indices(self):
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unsq_dims = np.array([-1])
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graph = build_graph(self.nodes_attributes,
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[('data_1', 'unsq'),
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('unsq_dims_const', 'unsq_dims'),
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('unsq_dims', 'unsq'),
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('unsq', 'data_2')],
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{'data_1': {'shape': np.array([2, 3, 64, 64])},
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'unsq_dims': {'value': unsq_dims, 'shape': unsq_dims.shape},
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'unsq_dims_const': {'value': unsq_dims, 'shape': unsq_dims.shape},
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})
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graph_ref = build_graph(self.nodes_attributes,
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[('data_1', 'unsq'),
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('unsq_dims_const', 'unsq_dims'),
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('unsq_dims', 'unsq'),
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('unsq', 'data_2')],
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{'data_1': {'shape': np.array([2, 3, 64, 64])},
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'unsq_dims': {'value': int64_array([4]), 'shape': unsq_dims.shape},
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'unsq_dims_const': {'value': int64_array([4]), 'shape': unsq_dims.shape},
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'data_2': {'shape': np.array([2, 3, 64, 64, 1])},
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})
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unsqueeze_node = Node(graph, 'unsq')
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Unsqueeze.infer(unsqueeze_node)
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(flag, resp) = compare_graphs(graph, graph_ref, 'data_2')
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self.assertTrue(flag, resp)
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