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/div.h"
20 #include "ir/dtype/type.h"
21 #include "abstract/dshape.h"
22 #include "utils/tensor_construct_utils.h"
23 namespace mindspore {
24 namespace ops {
25 class TestDiv : public UT::Common {
26 public:
TestDiv()27 TestDiv() {}
SetUp()28 void SetUp() {}
TearDown()29 void TearDown() {}
30 };
31
TEST_F(TestDiv,test_ops_div)32 TEST_F(TestDiv, test_ops_div) {
33 auto div = std::make_shared<Div>();
34 div->Init();
35 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 3, 4, 5});
36 auto tensor_y = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 3, 4, 5});
37 MS_EXCEPTION_IF_NULL(tensor_x);
38 MS_EXCEPTION_IF_NULL(tensor_y);
39 auto div_abstract = div->Infer({tensor_x->ToAbstract(), tensor_y->ToAbstract()});
40 MS_EXCEPTION_IF_NULL(div_abstract);
41 EXPECT_EQ(div_abstract->isa<abstract::AbstractTensor>(), true);
42 auto shape_ptr = div_abstract->BuildShape();
43 MS_EXCEPTION_IF_NULL(shape_ptr);
44 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
45 auto div_shape = shape_ptr->cast<abstract::ShapePtr>();
46 MS_EXCEPTION_IF_NULL(div_shape);
47 auto shape_vec = div_shape->shape();
48 auto type = div_abstract->BuildType();
49 MS_EXCEPTION_IF_NULL(type);
50 EXPECT_EQ(type->isa<TensorType>(), true);
51 auto tensor_type = type->cast<TensorTypePtr>();
52 MS_EXCEPTION_IF_NULL(tensor_type);
53 auto elem_type = tensor_type->element();
54 EXPECT_EQ(elem_type->type_id(), kNumberTypeFloat32);
55 EXPECT_EQ(shape_vec.size(), 4);
56 EXPECT_EQ(shape_vec[0], 1);
57 EXPECT_EQ(shape_vec[1], 3);
58 EXPECT_EQ(shape_vec[2], 4);
59 EXPECT_EQ(shape_vec[3], 5);
60 }
61
62 } // namespace ops
63 } // namespace mindspore
64