84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
"""
|
|
Copyright (C) 2018-2020 Intel Corporation
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
"""
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
from generator import generator, generate
|
|
|
|
from mo.graph.graph import Node
|
|
from mo.ops.expand_dims import ExpandDims
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
nodes_attributes = {
|
|
'data_1': {
|
|
'kind': 'data',
|
|
'shape': np.array([2, 3, 224, 224]),
|
|
'value': None,
|
|
},
|
|
'expand_dims': {
|
|
'type': 'None',
|
|
'kind': 'op',
|
|
},
|
|
'data_2': {
|
|
'kind': 'data',
|
|
'shape': None,
|
|
'value': None,
|
|
}
|
|
}
|
|
|
|
@generator
|
|
class ExpandDimsOp(unittest.TestCase):
|
|
@generate(*[(0, [1, 2, 3, 224, 224]),
|
|
(1, [2, 1, 3, 224, 224]),
|
|
(2, [2, 3, 1, 224, 224]),
|
|
(3, [2, 3, 224, 1, 224]),
|
|
(4, [2, 3, 224, 224, 1]),
|
|
])
|
|
def test_expand_dims_infer(self, axis, ref_out_shape):
|
|
graph = build_graph(nodes_attributes,
|
|
[('data_1', 'expand_dims'),
|
|
('expand_dims', 'data_2')],
|
|
{'expand_dims': {'expand_axis': axis}})
|
|
expand_dims_node = Node(graph, 'expand_dims')
|
|
|
|
ExpandDims.infer(expand_dims_node)
|
|
|
|
self.assertTrue(np.array_equal(expand_dims_node.out_node().shape, np.array(ref_out_shape)))
|
|
|
|
|
|
@generator
|
|
class ExpandDimsOpValueInfer(unittest.TestCase):
|
|
@generate(*[(0, [2, 3, 224, 224], [1, 2, 3, 224, 224]),
|
|
(1, [2, 3, 224, 224], [2, 1, 3, 224, 224]),
|
|
(2, [2, 3, 224, 224], [2, 3, 1, 224, 224]),
|
|
(3, [2, 3, 224, 224], [2, 3, 224, 1, 224]),
|
|
(4, [2, 3, 224, 224], [2, 3, 224, 224, 1]),
|
|
])
|
|
def test_expand_dims_infer_value(self, axis, in_shape, ref_out_shape):
|
|
in_value = np.random.rand(*in_shape)
|
|
graph = build_graph(nodes_attributes,
|
|
[('data_1', 'expand_dims'),
|
|
('expand_dims', 'data_2')],
|
|
{'data_1': {'value': in_value},
|
|
'expand_dims': {'expand_axis': axis}})
|
|
expand_dims_node = Node(graph, 'expand_dims')
|
|
|
|
ExpandDims.infer(expand_dims_node)
|
|
|
|
self.assertTrue(np.array_equal(expand_dims_node.out_node().shape, np.array(ref_out_shape)))
|
|
self.assertTrue(np.array_equal(expand_dims_node.out_node().value, np.array(in_value.reshape(ref_out_shape))))
|