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/pack.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 TestPack : public UT::Common {
29 public:
TestPack()30 TestPack() {}
SetUp()31 void SetUp() {}
TearDown()32 void TearDown() {}
33 };
34
TEST_F(TestPack,test_ops_pack1)35 TEST_F(TestPack, test_ops_pack1) {
36 auto pack = std::make_shared<Pack>();
37 pack->Init();
38 EXPECT_EQ(pack->get_axis(), 0);
39 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{2});
40 auto input1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{2});
41 MS_EXCEPTION_IF_NULL(input0);
42 MS_EXCEPTION_IF_NULL(input1);
43 auto input_ = std::make_shared<ValueTuple>(std::vector<ValuePtr>{input0, input1});
44 auto abstract = pack->Infer({input_->ToAbstract()});
45 MS_EXCEPTION_IF_NULL(abstract);
46 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
47 auto shape_ptr = abstract->BuildShape();
48 MS_EXCEPTION_IF_NULL(shape_ptr);
49 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
50 auto shape = shape_ptr->cast<abstract::ShapePtr>();
51 MS_EXCEPTION_IF_NULL(shape);
52 auto shape_vec = shape->shape();
53 EXPECT_EQ(shape_vec.size(), 2);
54 EXPECT_EQ(shape_vec[0], 2);
55 EXPECT_EQ(shape_vec[1], 2);
56 auto type = abstract->BuildType();
57 MS_EXCEPTION_IF_NULL(type);
58 EXPECT_EQ(type->isa<TensorType>(), true);
59 auto tensor_type = type->cast<TensorTypePtr>();
60 MS_EXCEPTION_IF_NULL(tensor_type);
61 auto data_type = tensor_type->element();
62 MS_EXCEPTION_IF_NULL(data_type);
63 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
64 }
65
66 } // namespace ops
67 } // namespace mindspore
68