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/less.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 TestLess : public UT::Common {
29 public:
TestLess()30 TestLess() {}
SetUp()31 void SetUp() {}
TearDown()32 void TearDown() {}
33 };
34
TEST_F(TestLess,test_ops_less1)35 TEST_F(TestLess, test_ops_less1) {
36 auto less = std::make_shared<Less>();
37 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{3});
38 auto input1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{3});
39 MS_EXCEPTION_IF_NULL(input0);
40 MS_EXCEPTION_IF_NULL(input1);
41 auto abstract = less->Infer({input0->ToAbstract(), input1->ToAbstract()});
42 MS_EXCEPTION_IF_NULL(abstract);
43 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
44 auto shape_ptr = abstract->BuildShape();
45 MS_EXCEPTION_IF_NULL(shape_ptr);
46 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
47 auto shape = shape_ptr->cast<abstract::ShapePtr>();
48 MS_EXCEPTION_IF_NULL(shape);
49 auto shape_vec = shape->shape();
50 EXPECT_EQ(shape_vec.size(), 1);
51 EXPECT_EQ(shape_vec[0], 3);
52 auto type = abstract->BuildType();
53 MS_EXCEPTION_IF_NULL(type);
54 EXPECT_EQ(type->isa<TensorType>(), true);
55 auto tensor_type = type->cast<TensorTypePtr>();
56 MS_EXCEPTION_IF_NULL(tensor_type);
57 auto data_type = tensor_type->element();
58 MS_EXCEPTION_IF_NULL(data_type);
59 EXPECT_EQ(data_type->type_id(), kNumberTypeBool);
60 }
61
62 } // namespace ops
63 } // namespace mindspore
64