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/lsh_projection.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 TestLshProjection : public UT::Common { 29 public: 30 TestLshProjection() {} 31 void SetUp() {} 32 void TearDown() {} 33 }; 34 35 TEST_F(TestLshProjection, test_ops_lsh_projection1) { 36 auto lsh_projection = std::make_shared<LshProjection>(); 37 lsh_projection->Init(LshProjectionType::SPARSE); 38 EXPECT_EQ(lsh_projection->get_type(), LshProjectionType::SPARSE); 39 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{4, 3}); 40 auto input1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{1, 1}); 41 MS_EXCEPTION_IF_NULL(input0); 42 MS_EXCEPTION_IF_NULL(input1); 43 auto abstract = lsh_projection->Infer({input0->ToAbstract(), input1->ToAbstract()}); 44 MS_EXCEPTION_IF_NULL(abstract); 45 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 46 auto shape_ptr = abstract->BuildShape(); 47 MS_EXCEPTION_IF_NULL(shape_ptr); 48 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 49 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 50 MS_EXCEPTION_IF_NULL(shape); 51 auto shape_vec = shape->shape(); 52 EXPECT_EQ(shape_vec.size(), 1); 53 EXPECT_EQ(shape_vec[0], 4); 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(), kNumberTypeInt32); 62 } 63 64 TEST_F(TestLshProjection, test_ops_lsh_projection2) { 65 auto lsh_projection = std::make_shared<LshProjection>(); 66 lsh_projection->Init(LshProjectionType::DENSE); 67 EXPECT_EQ(lsh_projection->get_type(), LshProjectionType::DENSE); 68 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{4, 3}); 69 auto input1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{1, 1}); 70 MS_EXCEPTION_IF_NULL(input0); 71 MS_EXCEPTION_IF_NULL(input1); 72 auto abstract = lsh_projection->Infer({input0->ToAbstract(), input1->ToAbstract()}); 73 MS_EXCEPTION_IF_NULL(abstract); 74 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 75 auto shape_ptr = abstract->BuildShape(); 76 MS_EXCEPTION_IF_NULL(shape_ptr); 77 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 78 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 79 MS_EXCEPTION_IF_NULL(shape); 80 auto shape_vec = shape->shape(); 81 EXPECT_EQ(shape_vec.size(), 1); 82 EXPECT_EQ(shape_vec[0], 4 * 3); 83 auto type = abstract->BuildType(); 84 MS_EXCEPTION_IF_NULL(type); 85 EXPECT_EQ(type->isa<TensorType>(), true); 86 auto tensor_type = type->cast<TensorTypePtr>(); 87 MS_EXCEPTION_IF_NULL(tensor_type); 88 auto data_type = tensor_type->element(); 89 MS_EXCEPTION_IF_NULL(data_type); 90 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32); 91 } 92 93 TEST_F(TestLshProjection, test_ops_lsh_projection3) { 94 auto lsh_projection = std::make_shared<LshProjection>(); 95 lsh_projection->Init(LshProjectionType::DENSE); 96 EXPECT_EQ(lsh_projection->get_type(), LshProjectionType::DENSE); 97 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{4, 3}); 98 auto input1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{5, 1}); 99 auto input2 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{5}); 100 MS_EXCEPTION_IF_NULL(input0); 101 MS_EXCEPTION_IF_NULL(input1); 102 MS_EXCEPTION_IF_NULL(input2); 103 auto abstract = lsh_projection->Infer({input0->ToAbstract(), input1->ToAbstract(), input2->ToAbstract()}); 104 MS_EXCEPTION_IF_NULL(abstract); 105 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 106 auto shape_ptr = abstract->BuildShape(); 107 MS_EXCEPTION_IF_NULL(shape_ptr); 108 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 109 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 110 MS_EXCEPTION_IF_NULL(shape); 111 auto shape_vec = shape->shape(); 112 EXPECT_EQ(shape_vec.size(), 1); 113 EXPECT_EQ(shape_vec[0], 4 * 3); 114 auto type = abstract->BuildType(); 115 MS_EXCEPTION_IF_NULL(type); 116 EXPECT_EQ(type->isa<TensorType>(), true); 117 auto tensor_type = type->cast<TensorTypePtr>(); 118 MS_EXCEPTION_IF_NULL(tensor_type); 119 auto data_type = tensor_type->element(); 120 MS_EXCEPTION_IF_NULL(data_type); 121 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32); 122 } 123 124 } // namespace ops 125 } // namespace mindspore 126