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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/exp.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 TestExp : public UT::Common {
28  public:
TestExp()29   TestExp() {}
SetUp()30   void SetUp() {}
TearDown()31   void TearDown() {}
32 };
33 
TEST_F(TestExp,test_ops_exp1)34 TEST_F(TestExp, test_ops_exp1) {
35   auto exp = std::make_shared<Exp>();
36   auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat16, std::vector<int64_t>{2, 3, 4, 5});
37   MS_EXCEPTION_IF_NULL(tensor_x);
38   auto abstract = exp->Infer({tensor_x->ToAbstract()});
39   MS_EXCEPTION_IF_NULL(abstract);
40   EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
41   auto shape_ptr = abstract->BuildShape();
42   MS_EXCEPTION_IF_NULL(shape_ptr);
43   EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
44   auto shape = shape_ptr->cast<abstract::ShapePtr>();
45   MS_EXCEPTION_IF_NULL(shape);
46   auto shape_vec = shape->shape();
47   auto type = abstract->BuildType();
48   MS_EXCEPTION_IF_NULL(type);
49   EXPECT_EQ(type->isa<TensorType>(), true);
50   auto tensor_type = type->cast<TensorTypePtr>();
51   MS_EXCEPTION_IF_NULL(tensor_type);
52   auto data_type = tensor_type->element();
53   MS_EXCEPTION_IF_NULL(data_type);
54   EXPECT_EQ(data_type->type_id(), kNumberTypeFloat16);
55   EXPECT_EQ(shape_vec.size(), 4);
56   EXPECT_EQ(shape_vec[0], 2);
57   EXPECT_EQ(shape_vec[1], 3);
58   EXPECT_EQ(shape_vec[2], 4);
59   EXPECT_EQ(shape_vec[3], 5);
60 }
61 }  // namespace ops
62 }  // namespace mindspore
63