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/assert.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 namespace {
29 template <typename T>
SetTensorData(void * data,T num,size_t data_length)30 void SetTensorData(void *data, T num, size_t data_length) {
31 MS_EXCEPTION_IF_NULL(data);
32 auto tensor_data = reinterpret_cast<T *>(data);
33 MS_EXCEPTION_IF_NULL(tensor_data);
34 for (size_t index = 0; index < data_length; ++index) {
35 *tensor_data = num;
36 ++tensor_data;
37 }
38 }
39 } // namespace
40
41 class TestAssert : public UT::Common {
42 public:
TestAssert()43 TestAssert() {}
SetUp()44 void SetUp() {}
TearDown()45 void TearDown() {}
46 };
47
TEST_F(TestAssert,test_ops_assert1)48 TEST_F(TestAssert, test_ops_assert1) {
49 auto assert = std::make_shared<Assert>();
50 assert->Init(3);
51 EXPECT_EQ(assert->get_summarize(), 3);
52 std::vector<ValuePtr> inputs_ = {TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1})};
53 auto condition = MakeValue(std::vector<bool>{true});
54 auto inputs = std::make_shared<ValueTuple>(inputs_);
55 auto abstract = assert->Infer({condition->ToAbstract(), inputs->ToAbstract()});
56 MS_EXCEPTION_IF_NULL(abstract);
57 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
58 auto shape_ptr = abstract->BuildShape();
59 MS_EXCEPTION_IF_NULL(shape_ptr);
60 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
61 auto shape = shape_ptr->cast<abstract::ShapePtr>();
62 MS_EXCEPTION_IF_NULL(shape);
63 auto shape_vec = shape->shape();
64 EXPECT_EQ(shape_vec.size(), 1);
65 EXPECT_EQ(shape_vec[0], 1);
66 auto type = abstract->BuildType();
67 MS_EXCEPTION_IF_NULL(type);
68 EXPECT_EQ(type->isa<TensorType>(), true);
69 auto tensor_type = type->cast<TensorTypePtr>();
70 MS_EXCEPTION_IF_NULL(tensor_type);
71 auto data_type = tensor_type->element();
72 MS_EXCEPTION_IF_NULL(data_type);
73 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32);
74 }
75
TEST_F(TestAssert,test_ops_assert2)76 TEST_F(TestAssert, test_ops_assert2) {
77 auto assert = std::make_shared<Assert>();
78 assert->Init(3);
79 EXPECT_EQ(assert->get_summarize(), 3);
80 std::vector<ValuePtr> inputs_ = {TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1})};
81 auto tensor = std::make_shared<tensor::Tensor>(kNumberTypeBool, std::vector<int64_t>{1});
82 MS_EXCEPTION_IF_NULL(tensor);
83 auto mem_size = IntToSize(tensor->ElementsNum());
84 SetTensorData<bool>(tensor->data_c(), true, mem_size);
85 auto inputs = std::make_shared<ValueTuple>(inputs_);
86 auto abstract = assert->Infer({tensor->ToAbstract(), inputs->ToAbstract()});
87 MS_EXCEPTION_IF_NULL(abstract);
88 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
89 auto shape_ptr = abstract->BuildShape();
90 MS_EXCEPTION_IF_NULL(shape_ptr);
91 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
92 auto shape = shape_ptr->cast<abstract::ShapePtr>();
93 MS_EXCEPTION_IF_NULL(shape);
94 auto shape_vec = shape->shape();
95 EXPECT_EQ(shape_vec.size(), 1);
96 EXPECT_EQ(shape_vec[0], 1);
97 auto type = abstract->BuildType();
98 MS_EXCEPTION_IF_NULL(type);
99 EXPECT_EQ(type->isa<TensorType>(), true);
100 auto tensor_type = type->cast<TensorTypePtr>();
101 MS_EXCEPTION_IF_NULL(tensor_type);
102 auto data_type = tensor_type->element();
103 MS_EXCEPTION_IF_NULL(data_type);
104 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32);
105 }
106
107 } // namespace ops
108 } // namespace mindspore
109