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: 29 TestEmbeddingLookup() {} 30 void SetUp() {} 31 void TearDown() {} 32 }; 33 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