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/sin.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 TestSin : public UT::Common {
26 public:
TestSin()27 TestSin() {}
SetUp()28 void SetUp() {}
TearDown()29 void TearDown() {}
30 };
31
TEST_F(TestSin,test_ops_sin)32 TEST_F(TestSin, test_ops_sin) {
33 auto sin = std::make_shared<Sin>();
34 sin->Init();
35 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 4});
36 MS_EXCEPTION_IF_NULL(tensor_x);
37 auto sin_abstract = sin->Infer({tensor_x->ToAbstract()});
38 MS_EXCEPTION_IF_NULL(sin_abstract);
39 EXPECT_EQ(sin_abstract->isa<abstract::AbstractTensor>(), true);
40 auto shape_ptr = sin_abstract->BuildShape();
41 MS_EXCEPTION_IF_NULL(shape_ptr);
42 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
43 auto sin_shape = shape_ptr->cast<abstract::ShapePtr>();
44 MS_EXCEPTION_IF_NULL(sin_shape);
45 auto shape_vec = sin_shape->shape();
46 auto type = sin_abstract->BuildType();
47 MS_EXCEPTION_IF_NULL(type);
48 EXPECT_EQ(type->isa<TensorType>(), true);
49 auto tensor_type = type->cast<TensorTypePtr>();
50 MS_EXCEPTION_IF_NULL(tensor_type);
51 auto elem_type = tensor_type->element();
52 EXPECT_EQ(elem_type->type_id(), kNumberTypeFloat32);
53 EXPECT_EQ(shape_vec.size(), 2);
54 EXPECT_EQ(shape_vec[0], 1);
55 EXPECT_EQ(shape_vec[1], 4);
56 }
57
58 } // namespace ops
59 } // namespace mindspore
60