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/one_hot.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 TestOneHot : public UT::Common {
29 public:
TestOneHot()30 TestOneHot() {}
SetUp()31 void SetUp() {}
TearDown()32 void TearDown() {}
33 };
34
TEST_F(TestOneHot,test_ops_one_hot1)35 TEST_F(TestOneHot, test_ops_one_hot1) {
36 auto one_hot = std::make_shared<OneHot>();
37 one_hot->Init(-1);
38 EXPECT_EQ(one_hot->get_axis(), -1);
39 auto indice = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{3});
40 auto depth = MakeValue<int64_t>(3);
41 auto on_value = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1});
42 auto off_value = TensorConstructUtils::CreateZerosTensor(kNumberTypeFloat32, std::vector<int64_t>{1});
43 MS_EXCEPTION_IF_NULL(indice);
44 MS_EXCEPTION_IF_NULL(depth);
45 MS_EXCEPTION_IF_NULL(on_value);
46 MS_EXCEPTION_IF_NULL(off_value);
47 auto abstract =
48 one_hot->Infer({indice->ToAbstract(), depth->ToAbstract(), on_value->ToAbstract(), off_value->ToAbstract()});
49 MS_EXCEPTION_IF_NULL(abstract);
50 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true);
51 auto shape_ptr = abstract->BuildShape();
52 MS_EXCEPTION_IF_NULL(shape_ptr);
53 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true);
54 auto shape = shape_ptr->cast<abstract::ShapePtr>();
55 MS_EXCEPTION_IF_NULL(shape);
56 auto shape_vec = shape->shape();
57 auto type = abstract->BuildType();
58 MS_EXCEPTION_IF_NULL(type);
59 EXPECT_EQ(type->isa<TensorType>(), true);
60 auto tensor_type = type->cast<TensorTypePtr>();
61 MS_EXCEPTION_IF_NULL(tensor_type);
62 auto data_type = tensor_type->element();
63 MS_EXCEPTION_IF_NULL(data_type);
64 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
65 EXPECT_EQ(shape_vec.size(), 2);
66 EXPECT_EQ(shape_vec[0], 3);
67 }
68
69 } // namespace ops
70 } // namespace mindspore
71