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/equal.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 class TestEqual : public UT::Common {
28 public:
TestEqual()29 TestEqual() {}
SetUp()30 void SetUp() {}
TearDown()31 void TearDown() {}
32 };
33
TEST_F(TestEqual,test_ops_equal1)34 TEST_F(TestEqual, test_ops_equal1) {
35 auto equal = std::make_shared<Equal>();
36 auto tensor_x1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 2, 7, 7});
37 auto tensor_x2 = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3, 2, 7, 7});
38 MS_EXCEPTION_IF_NULL(tensor_x1);
39 MS_EXCEPTION_IF_NULL(tensor_x2);
40 auto abstract = equal->Infer({tensor_x1->ToAbstract(), tensor_x2->ToAbstract()});
41 MS_EXCEPTION_IF_NULL(abstract);
42 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
43 auto shape_ptr = abstract->BuildShape();
44 MS_EXCEPTION_IF_NULL(shape_ptr);
45 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
46 auto shape = shape_ptr->cast<abstract::ShapePtr>();
47 MS_EXCEPTION_IF_NULL(shape);
48 auto shape_vec = shape->shape();
49 auto type = abstract->BuildType();
50 MS_EXCEPTION_IF_NULL(type);
51 EXPECT_EQ(type->isa<TensorType>(), true);
52 auto tensor_type = type->cast<TensorTypePtr>();
53 MS_EXCEPTION_IF_NULL(tensor_type);
54 auto data_type = tensor_type->element();
55 MS_EXCEPTION_IF_NULL(data_type);
56 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
57 EXPECT_EQ(shape_vec.size(), 4);
58 EXPECT_EQ(shape_vec[0], 3);
59 EXPECT_EQ(shape_vec[1], 2);
60 EXPECT_EQ(shape_vec[2], 7);
61 EXPECT_EQ(shape_vec[3], 7);
62 }
63 } // namespace ops
64 } // namespace mindspore