2 Copyright (c) 2018-2019 Intel Corporation
4 Licensed under the Apache License, Version 2.0 (the "License");
5 you may not use this file except in compliance with the License.
6 You may obtain a copy of the License at
8 http://www.apache.org/licenses/LICENSE-2.0
10 Unless required by applicable law or agreed to in writing, software
11 distributed under the License is distributed on an "AS IS" BASIS,
12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 See the License for the specific language governing permissions and
14 limitations under the License.
20 from generator import generator, generate
22 from mo.graph.graph import Node
23 from mo.ops.flatten_onnx import FlattenONNX
24 from mo.utils.unittest.graph import build_graph
28 class TestFlattenONNXOp(unittest.TestCase):
29 # There are tests for InnerProduct.infer in mo/front/common/partial_infer/inner_product_test.py
33 'shape': np.array([1, 3, 224, 224])
46 def _create_graph_with_flatten(self, axis):
47 graph = build_graph(self.nodes_attributes,
48 [('data_1', 'flatten'),
49 ('flatten', 'data_2')],
50 {'flatten': {'axis': axis}})
53 @generate(*[(0, [1, 3 * 224 * 224]),
54 (1, [1, 3 * 224 * 224]),
57 (4, [3 * 224 * 224, 1]),
59 def test_flatten_infer_1(self, axis, ref):
60 graph = self._create_graph_with_flatten(axis)
61 flatten_node = Node(graph, 'flatten')
63 FlattenONNX.infer(flatten_node)
65 self.assertTrue(np.array_equal(flatten_node.out_node().shape, np.array(ref)))