1 /** 2 * Copyright 2021 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/gather.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 TestGather : public UT::Common { 28 public: 29 TestGather() {} 30 void SetUp() {} 31 void TearDown() {} 32 }; 33 34 TEST_F(TestGather, test_gather) { 35 auto gather = std::make_shared<Gather>(); 36 gather->Init(); 37 auto tensor_x = std::make_shared<tensor::Tensor>(kNumberTypeInt32, std::vector<int64_t>{2, 2}); 38 MS_EXCEPTION_IF_NULL(tensor_x); 39 auto tensor_x_data = reinterpret_cast<int *>(tensor_x->data_c()); 40 *tensor_x_data = 1; 41 tensor_x_data++; 42 *tensor_x_data = 2; 43 tensor_x_data++; 44 *tensor_x_data = 3; 45 tensor_x_data++; 46 *tensor_x_data = 4; 47 tensor_x_data++; 48 auto index = std::make_shared<tensor::Tensor>(kNumberTypeInt32, std::vector<int64_t>{2, 2}); 49 MS_EXCEPTION_IF_NULL(index); 50 auto index_data = reinterpret_cast<int *>(index->data_c()); 51 *index_data = 0; 52 index_data++; 53 *index_data = 0; 54 index_data++; 55 *index_data = 1; 56 index_data++; 57 *index_data = 0; 58 index_data++; 59 auto dim = MakeValue(1); 60 MS_EXCEPTION_IF_NULL(dim); 61 auto abstract = gather->Infer({tensor_x->ToAbstract(), dim->ToAbstract(), index->ToAbstract()}); 62 MS_EXCEPTION_IF_NULL(abstract); 63 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 64 auto shape_ptr = abstract->BuildShape(); 65 MS_EXCEPTION_IF_NULL(shape_ptr); 66 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 67 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 68 MS_EXCEPTION_IF_NULL(shape); 69 auto shape_vec = shape->shape(); 70 auto type = abstract->BuildType(); 71 MS_EXCEPTION_IF_NULL(type); 72 EXPECT_EQ(type->isa<TensorType>(), true); 73 auto tensor_type = type->cast<TensorTypePtr>(); 74 MS_EXCEPTION_IF_NULL(tensor_type); 75 auto data_type = tensor_type->element(); 76 MS_EXCEPTION_IF_NULL(data_type); 77 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32); 78 EXPECT_EQ(shape_vec.size(), 2); 79 EXPECT_EQ(shape_vec[0], 2); 80 EXPECT_EQ(shape_vec[1], 2); 81 } 82 } // namespace ops 83 } // namespace mindspore 84