77 lines
3.1 KiB
Python
77 lines
3.1 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 extensions.ops.spatial_transformer import SpatialTransformOp
|
|
from mo.graph.graph import Node
|
|
from mo.utils.unittest.graph import build_graph
|
|
|
|
nodes_attributes = {'node_1': {'type': 'Identity', 'kind': 'op'},
|
|
'node_2': {'type': 'Identity', 'kind': 'op'},
|
|
'st': {'type': 'SpatialTransform', 'kind': 'op'},
|
|
'node_3': {'type': 'Identity', 'kind': 'op'},
|
|
'op_output': { 'kind': 'op', 'op': 'Result'}
|
|
}
|
|
|
|
|
|
class TestSpatialTransformInfer(unittest.TestCase):
|
|
def test_sp_transform_concat_infer(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[
|
|
('node_1', 'st'),
|
|
('node_2', 'st'),
|
|
('st', 'node_3'),
|
|
('node_3', 'op_output')
|
|
],
|
|
{
|
|
'node_3': {'shape': None},
|
|
'node_1': {'shape': np.array([1, 3, 227, 227])},
|
|
'node_2': {'shape': np.array([1, 3, 227, 227])},
|
|
'st': {}
|
|
})
|
|
|
|
st_node = Node(graph, 'st')
|
|
SpatialTransformOp.sp_infer(st_node)
|
|
exp_shape = np.array([1, 3, 227, 227])
|
|
res_shape = graph.node['node_3']['shape']
|
|
for i in range(0, len(exp_shape)):
|
|
self.assertEqual(exp_shape[i], res_shape[i])
|
|
|
|
def test_sp_transform_with_output_params_infer(self):
|
|
graph = build_graph(nodes_attributes,
|
|
[
|
|
('node_1', 'st'),
|
|
('node_2', 'st'),
|
|
('st', 'node_3'),
|
|
('node_3', 'op_output')
|
|
],
|
|
{
|
|
'node_3': {'shape': None},
|
|
'node_1': {'shape': np.array([1, 3, 227, 227])},
|
|
'node_2': {'shape': np.array([1, 3, 227, 227])},
|
|
'st': {'output_H': 200, 'output_W': 15}
|
|
})
|
|
|
|
st_node = Node(graph, 'st')
|
|
SpatialTransformOp.sp_infer(st_node)
|
|
exp_shape = np.array([1, 3, 200, 15])
|
|
res_shape = graph.node['node_3']['shape']
|
|
for i in range(0, len(exp_shape)):
|
|
self.assertEqual(exp_shape[i], res_shape[i])
|