Imported Upstream version 1.9.0
[platform/core/ml/nnfw.git] / tests / nnfw_api / src / ValidationTestAddModelLoaded.cc
1 /*
2  * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3  *
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
7  *
8  *    http://www.apache.org/licenses/LICENSE-2.0
9  *
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.
15  */
16
17 #include "fixtures.h"
18 #include "NNPackages.h"
19
20 using ValidationTestAddModelLoaded = ValidationTestModelLoaded<NNPackages::ADD>;
21
22 TEST_F(ValidationTestAddModelLoaded, prepare_001)
23 {
24   NNFW_ENSURE_SUCCESS(nnfw_prepare(_session));
25
26   SUCCEED();
27 }
28
29 TEST_F(ValidationTestAddModelLoaded, set_available_backends_001)
30 {
31   NNFW_ENSURE_SUCCESS(nnfw_set_available_backends(_session, "cpu"));
32
33   SUCCEED();
34 }
35
36 TEST_F(ValidationTestAddModelLoaded, get_input_size)
37 {
38   uint32_t size = 0;
39   NNFW_ENSURE_SUCCESS(nnfw_input_size(_session, &size));
40   ASSERT_EQ(size, 1);
41 }
42
43 TEST_F(ValidationTestAddModelLoaded, get_output_size)
44 {
45   uint32_t size = 0;
46   NNFW_ENSURE_SUCCESS(nnfw_output_size(_session, &size));
47   ASSERT_EQ(size, 1);
48 }
49
50 TEST_F(ValidationTestAddModelLoaded, output_tensorinfo)
51 {
52   nnfw_tensorinfo tensor_info;
53   NNFW_ENSURE_SUCCESS(nnfw_output_tensorinfo(_session, 0, &tensor_info));
54   ASSERT_EQ(tensor_info.rank, 1);
55   ASSERT_EQ(tensor_info.dims[0], 1);
56 }
57
58 TEST_F(ValidationTestAddModelLoaded, input_output_tensorindex)
59 {
60   uint32_t in_ind = 100;
61   NNFW_ENSURE_SUCCESS(nnfw_input_tensorindex(_session, "X_input", &in_ind));
62   ASSERT_EQ(in_ind, 0);
63
64   uint32_t out_ind = 100;
65   NNFW_ENSURE_SUCCESS(nnfw_output_tensorindex(_session, "ADD_TOP", &out_ind));
66   ASSERT_EQ(out_ind, 0);
67 }
68
69 TEST_F(ValidationTestAddModelLoaded, neg_run)
70 {
71   // nnfw_prepare is not called
72   ASSERT_EQ(nnfw_run(_session), NNFW_STATUS_INVALID_STATE);
73 }
74
75 TEST_F(ValidationTestAddModelLoaded, neg_set_input)
76 {
77   // nnfw_prepare is not called
78   ASSERT_EQ(nnfw_set_input(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, nullptr, 0),
79             NNFW_STATUS_INVALID_STATE);
80 }
81
82 TEST_F(ValidationTestAddModelLoaded, neg_set_output)
83 {
84   // nnfw_prepare is not called
85   ASSERT_EQ(nnfw_set_output(_session, 0, NNFW_TYPE_TENSOR_FLOAT32, nullptr, 0),
86             NNFW_STATUS_INVALID_STATE);
87 }
88
89 TEST_F(ValidationTestAddModelLoaded, neg_get_input_size)
90 {
91   ASSERT_EQ(nnfw_input_size(_session, nullptr), NNFW_STATUS_UNEXPECTED_NULL);
92 }
93
94 TEST_F(ValidationTestAddModelLoaded, neg_get_output_size)
95 {
96   ASSERT_EQ(nnfw_output_size(_session, nullptr), NNFW_STATUS_UNEXPECTED_NULL);
97 }
98
99 TEST_F(ValidationTestAddModelLoaded, neg_load_model)
100 {
101   // load model twice
102   ASSERT_EQ(nnfw_load_model_from_file(
103                 _session, NNPackages::get().getModelAbsolutePath(NNPackages::ADD).c_str()),
104             NNFW_STATUS_INVALID_STATE);
105 }
106
107 TEST_F(ValidationTestAddModelLoaded, neg_output_tensorinfo)
108 {
109   // tensor_info is null
110   ASSERT_EQ(nnfw_output_tensorinfo(_session, 0, nullptr), NNFW_STATUS_UNEXPECTED_NULL);
111 }
112
113 TEST_F(ValidationTestAddModelLoaded, neg_input_output_tensorindex)
114 {
115   uint32_t in_ind = 100;
116   ASSERT_EQ(nnfw_input_tensorindex(_session, "ADD_TOP", &in_ind), NNFW_STATUS_ERROR);
117   ASSERT_EQ(in_ind, 100);
118   ASSERT_EQ(nnfw_input_tensorindex(_session, "y_var", &in_ind), NNFW_STATUS_ERROR);
119   ASSERT_EQ(in_ind, 100);
120
121   uint32_t out_ind = 100;
122   ASSERT_EQ(nnfw_output_tensorindex(_session, "X_input", &out_ind), NNFW_STATUS_ERROR);
123   ASSERT_EQ(out_ind, 100);
124 }