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/topk.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 TestTopK : public UT::Common { 28 public: 29 TestTopK() {} 30 void SetUp() {} 31 void TearDown() {} 32 }; 33 34 TEST_F(TestTopK, test_topk) { 35 auto topk = std::make_shared<TopK>(); 36 bool sorted = true; 37 topk->Init(sorted); 38 EXPECT_EQ(topk->get_sorted(), true); 39 auto tensor_x = std::make_shared<tensor::Tensor>(kNumberTypeFloat16, std::vector<int64_t>{5}); 40 MS_EXCEPTION_IF_NULL(tensor_x); 41 auto tensor_x_data = reinterpret_cast<int *>(tensor_x->data_c()); 42 *tensor_x_data = 1; 43 tensor_x_data++; 44 *tensor_x_data = 2; 45 tensor_x_data++; 46 *tensor_x_data = 3; 47 tensor_x_data++; 48 *tensor_x_data = 4; 49 tensor_x_data++; 50 *tensor_x_data = 5; 51 tensor_x_data++; 52 auto k = MakeValue(3); 53 MS_EXCEPTION_IF_NULL(k); 54 auto abstract = topk->Infer({tensor_x->ToAbstract(), k->ToAbstract()}); 55 MS_EXCEPTION_IF_NULL(abstract); 56 EXPECT_EQ(abstract->isa<abstract::AbstractTuple>(), true); 57 auto shape_ptr = abstract->BuildShape(); 58 MS_EXCEPTION_IF_NULL(shape_ptr); 59 EXPECT_EQ(shape_ptr->isa<abstract::TupleShape>(), true); 60 auto shape = shape_ptr->cast<abstract::TupleShapePtr>(); 61 MS_EXCEPTION_IF_NULL(shape); 62 auto shape_vec = shape->shape(); 63 EXPECT_EQ(shape_vec.size(), 2); 64 auto shape1 = shape_vec[0]->cast<abstract::ShapePtr>()->shape(); 65 EXPECT_EQ(shape1.size(), 1); 66 EXPECT_EQ(shape1[0], 3); 67 auto shape2 = shape_vec[1]->cast<abstract::ShapePtr>()->shape(); 68 EXPECT_EQ(shape2.size(), 1); 69 EXPECT_EQ(shape2[0], 3); 70 auto type_ptr = abstract->BuildType(); 71 MS_EXCEPTION_IF_NULL(type_ptr); 72 auto type = type_ptr->cast<TuplePtr>(); 73 auto type_vec = type->elements(); 74 EXPECT_EQ(type_vec.size(), 2); 75 MS_EXCEPTION_IF_NULL(type_vec[0]); 76 auto data_type1 = type_vec[0]->cast<TensorTypePtr>()->element(); 77 MS_EXCEPTION_IF_NULL(data_type1); 78 EXPECT_EQ(data_type1->type_id(), kNumberTypeFloat16); 79 auto data_type2 = type_vec[1]->cast<TensorTypePtr>()->element(); 80 MS_EXCEPTION_IF_NULL(data_type2); 81 EXPECT_EQ(data_type2->type_id(), kNumberTypeInt32); 82 } 83 } // namespace ops 84 } // namespace mindspore 85