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/where.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 TestWhere : public UT::Common { 29 public: 30 TestWhere() {} 31 void SetUp() {} 32 void TearDown() {} 33 }; 34 35 TEST_F(TestWhere, test_ops_where1) { 36 // auto where = std::make_shared<Where>(); 37 // where->Init(); 38 // auto inputs0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{2, 3}); 39 // auto inputs1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{2, 3}); 40 // MS_EXCEPTION_IF_NULL(inputs0); 41 // MS_EXCEPTION_IF_NULL(inputs1); 42 // auto abstract = where->Infer({inputs0->ToAbstract(), inputs1->ToAbstract()}); 43 // MS_EXCEPTION_IF_NULL(abstract); 44 // EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 45 // auto shape_ptr = abstract->BuildShape(); 46 // MS_EXCEPTION_IF_NULL(shape_ptr); 47 // EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 48 // auto shape = shape_ptr->cast<abstract::ShapePtr>(); 49 // MS_EXCEPTION_IF_NULL(shape); 50 // auto shape_vec = shape->shape(); 51 // EXPECT_EQ(shape_vec.size(), 2); 52 // EXPECT_EQ(shape_vec[0], 2); 53 // EXPECT_EQ(shape_vec[1], 3); 54 // auto type = abstract->BuildType(); 55 // MS_EXCEPTION_IF_NULL(type); 56 // EXPECT_EQ(type->isa<TensorType>(), true); 57 // auto tensor_type = type->cast<TensorTypePtr>(); 58 // MS_EXCEPTION_IF_NULL(tensor_type); 59 // auto data_type = tensor_type->element(); 60 // MS_EXCEPTION_IF_NULL(data_type); 61 // EXPECT_EQ(data_type->type_id(), kNumberTypeInt64); 62 } 63 64 TEST_F(TestWhere, test_ops_where2) { 65 auto where = std::make_shared<Where>(); 66 where->Init(); 67 auto inputs0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{1}); 68 auto inputs1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{4}); 69 auto inputs2 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt64, std::vector<int64_t>{1}); 70 MS_EXCEPTION_IF_NULL(inputs0); 71 MS_EXCEPTION_IF_NULL(inputs1); 72 MS_EXCEPTION_IF_NULL(inputs2); 73 auto abstract = where->Infer({inputs0->ToAbstract(), inputs1->ToAbstract(), inputs2->ToAbstract()}); 74 MS_EXCEPTION_IF_NULL(abstract); 75 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 76 auto shape_ptr = abstract->BuildShape(); 77 MS_EXCEPTION_IF_NULL(shape_ptr); 78 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 79 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 80 MS_EXCEPTION_IF_NULL(shape); 81 auto shape_vec = shape->shape(); 82 EXPECT_EQ(shape_vec.size(), 1); 83 EXPECT_EQ(shape_vec[0], 4); 84 auto type = abstract->BuildType(); 85 MS_EXCEPTION_IF_NULL(type); 86 EXPECT_EQ(type->isa<TensorType>(), true); 87 auto tensor_type = type->cast<TensorTypePtr>(); 88 MS_EXCEPTION_IF_NULL(tensor_type); 89 auto data_type = tensor_type->element(); 90 MS_EXCEPTION_IF_NULL(data_type); 91 EXPECT_EQ(data_type->type_id(), kNumberTypeInt64); 92 } 93 94 } // namespace ops 95 } // namespace mindspore 96