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/unstack.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 TestUnstack : public UT::Common {
29 public:
TestUnstack()30 TestUnstack() {}
SetUp()31 void SetUp() {}
TearDown()32 void TearDown() {}
33 };
34
TEST_F(TestUnstack,test_ops_unstack1)35 TEST_F(TestUnstack, test_ops_unstack1) {
36 auto unstack = std::make_shared<Unstack>();
37 unstack->Init();
38 EXPECT_EQ(unstack->get_axis(), 0);
39 auto input = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{2, 4});
40 MS_EXCEPTION_IF_NULL(input);
41 auto abstract = unstack->Infer({input->ToAbstract()});
42 MS_EXCEPTION_IF_NULL(abstract);
43 EXPECT_EQ(abstract->isa<abstract::AbstractTuple>(), true);
44 auto shape_ptr = abstract->BuildShape();
45 MS_EXCEPTION_IF_NULL(shape_ptr);
46 EXPECT_EQ(shape_ptr->isa<abstract::TupleShape>(), true);
47 auto shape = shape_ptr->cast<abstract::TupleShapePtr>();
48 MS_EXCEPTION_IF_NULL(shape);
49 auto shape_vec = shape->shape();
50 EXPECT_EQ(shape_vec.size(), 2);
51 auto shape1 = shape_vec[0]->cast<abstract::ShapePtr>()->shape();
52 EXPECT_EQ(shape1.size(), 1);
53 EXPECT_EQ(shape1[0], 4);
54 auto shape2 = shape_vec[1]->cast<abstract::ShapePtr>()->shape();
55 EXPECT_EQ(shape2.size(), 1);
56 EXPECT_EQ(shape2[0], 4);
57 auto type_ptr = abstract->BuildType();
58 MS_EXCEPTION_IF_NULL(type_ptr);
59 auto type = type_ptr->cast<TuplePtr>();
60 MS_EXCEPTION_IF_NULL(type);
61 auto type_vec = type->elements();
62 MS_EXCEPTION_IF_NULL(type_vec[0]);
63 auto data_type = type_vec[0]->cast<TensorTypePtr>()->element();
64 MS_EXCEPTION_IF_NULL(data_type);
65 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32);
66 MS_EXCEPTION_IF_NULL(type_vec[1]);
67 auto data1_type = type_vec[1]->cast<TensorTypePtr>()->element();
68 MS_EXCEPTION_IF_NULL(data1_type);
69 EXPECT_EQ(data1_type->type_id(), kNumberTypeInt32);
70 }
71
72 } // namespace ops
73 } // namespace mindspore
74