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/embedding_lookup.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 TestEmbeddingLookup : public UT::Common {
28 public:
TestEmbeddingLookup()29 TestEmbeddingLookup() {}
SetUp()30 void SetUp() {}
TearDown()31 void TearDown() {}
32 };
33
TEST_F(TestEmbeddingLookup,test_ops_embedding_lookup1)34 TEST_F(TestEmbeddingLookup, test_ops_embedding_lookup1) {
35 auto embedding_lookup = std::make_shared<EmbeddingLookup>();
36 embedding_lookup->Init(true);
37 auto tensor_param = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{5, 3});
38 auto tensor_indice = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{2, 3});
39 auto offset = MakeValue(4);
40 MS_EXCEPTION_IF_NULL(tensor_param);
41 MS_EXCEPTION_IF_NULL(tensor_indice);
42 MS_EXCEPTION_IF_NULL(offset);
43 auto abstract =
44 embedding_lookup->Infer({tensor_param->ToAbstract(), tensor_indice->ToAbstract(), offset->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 auto type = abstract->BuildType();
54 MS_EXCEPTION_IF_NULL(type);
55 EXPECT_EQ(type->isa<TensorType>(), true);
56 auto tensor_type = type->cast<TensorTypePtr>();
57 MS_EXCEPTION_IF_NULL(tensor_type);
58 auto data_type = tensor_type->element();
59 MS_EXCEPTION_IF_NULL(data_type);
60 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32);
61 EXPECT_EQ(shape_vec.size(), 3);
62 EXPECT_EQ(shape_vec[0], 2);
63 EXPECT_EQ(shape_vec[1], 3);
64 EXPECT_EQ(shape_vec[2], 3);
65 }
66 } // namespace ops
67 } // namespace mindspore
68