1 /**
2 * Copyright 2020 Huawei Technologies Co., Ltd
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 #include <vector>
17 #include <memory>
18 #include "common/common_test.h"
19 #include "ops/where.h"
20 #include "ir/dtype/type.h"
21 #include "ir/value.h"
22 #include "abstract/dshape.h"
23 #include "utils/tensor_construct_utils.h"
24
25 namespace mindspore {
26 namespace ops {
27
28 class TestWhere : public UT::Common {
29 public:
TestWhere()30 TestWhere() {}
SetUp()31 void SetUp() {}
TearDown()32 void TearDown() {}
33 };
34
TEST_F(TestWhere,test_ops_where1)35 TEST_F(TestWhere, test_ops_where1) {
36 // auto where = std::make_shared<Where>();
37 // where->Init();
38 // auto inputs0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{2, 3});
39 // auto inputs1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{2, 3});
40 // MS_EXCEPTION_IF_NULL(inputs0);
41 // MS_EXCEPTION_IF_NULL(inputs1);
42 // auto abstract = where->Infer({inputs0->ToAbstract(), inputs1->ToAbstract()});
43 // MS_EXCEPTION_IF_NULL(abstract);
44 // EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
45 // auto shape_ptr = abstract->BuildShape();
46 // MS_EXCEPTION_IF_NULL(shape_ptr);
47 // EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
48 // auto shape = shape_ptr->cast<abstract::ShapePtr>();
49 // MS_EXCEPTION_IF_NULL(shape);
50 // auto shape_vec = shape->shape();
51 // EXPECT_EQ(shape_vec.size(), 2);
52 // EXPECT_EQ(shape_vec[0], 2);
53 // EXPECT_EQ(shape_vec[1], 3);
54 // auto type = abstract->BuildType();
55 // MS_EXCEPTION_IF_NULL(type);
56 // EXPECT_EQ(type->isa<TensorType>(), true);
57 // auto tensor_type = type->cast<TensorTypePtr>();
58 // MS_EXCEPTION_IF_NULL(tensor_type);
59 // auto data_type = tensor_type->element();
60 // MS_EXCEPTION_IF_NULL(data_type);
61 // EXPECT_EQ(data_type->type_id(), kNumberTypeInt64);
62 }
63
TEST_F(TestWhere,test_ops_where2)64 TEST_F(TestWhere, test_ops_where2) {
65 auto where = std::make_shared<Where>();
66 where->Init();
67 auto inputs0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{1});
68 auto inputs1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{4});
69 auto inputs2 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{1});
70 MS_EXCEPTION_IF_NULL(inputs0);
71 MS_EXCEPTION_IF_NULL(inputs1);
72 MS_EXCEPTION_IF_NULL(inputs2);
73 auto abstract = where->Infer({inputs0->ToAbstract(), inputs1->ToAbstract(), inputs2->ToAbstract()});
74 MS_EXCEPTION_IF_NULL(abstract);
75 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
76 auto shape_ptr = abstract->BuildShape();
77 MS_EXCEPTION_IF_NULL(shape_ptr);
78 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
79 auto shape = shape_ptr->cast<abstract::ShapePtr>();
80 MS_EXCEPTION_IF_NULL(shape);
81 auto shape_vec = shape->shape();
82 EXPECT_EQ(shape_vec.size(), 1);
83 EXPECT_EQ(shape_vec[0], 4);
84 auto type = abstract->BuildType();
85 MS_EXCEPTION_IF_NULL(type);
86 EXPECT_EQ(type->isa<TensorType>(), true);
87 auto tensor_type = type->cast<TensorTypePtr>();
88 MS_EXCEPTION_IF_NULL(tensor_type);
89 auto data_type = tensor_type->element();
90 MS_EXCEPTION_IF_NULL(data_type);
91 EXPECT_EQ(data_type->type_id(), kNumberTypeInt64);
92 }
93
94 } // namespace ops
95 } // namespace mindspore
96