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/logical_not.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 namespace { 29 template <typename T> 30 void SetTensorData(void *data, T num, size_t data_length) { 31 MS_EXCEPTION_IF_NULL(data); 32 auto tensor_data = reinterpret_cast<T *>(data); 33 MS_EXCEPTION_IF_NULL(tensor_data); 34 for (size_t index = 0; index < data_length; ++index) { 35 *tensor_data = num; 36 ++tensor_data; 37 } 38 } 39 } // namespace 40 41 class TestLogicalNot : public UT::Common { 42 public: 43 TestLogicalNot() {} 44 void SetUp() {} 45 void TearDown() {} 46 }; 47 48 TEST_F(TestLogicalNot, test_ops_logical_not1) { 49 auto logical_not = std::make_shared<LogicalNot>(); 50 logical_not->Init(); 51 auto tensor = std::make_shared<tensor::Tensor>(kNumberTypeBool, std::vector<int64_t>{3}); 52 MS_EXCEPTION_IF_NULL(tensor); 53 auto mem_size = IntToSize(tensor->ElementsNum()); 54 SetTensorData<bool>(tensor->data_c(), true, mem_size); 55 auto abstract = logical_not->Infer({tensor->ToAbstract()}); 56 MS_EXCEPTION_IF_NULL(abstract); 57 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 58 auto shape_ptr = abstract->BuildShape(); 59 MS_EXCEPTION_IF_NULL(shape_ptr); 60 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 61 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 62 MS_EXCEPTION_IF_NULL(shape); 63 auto shape_vec = shape->shape(); 64 auto type = abstract->BuildType(); 65 MS_EXCEPTION_IF_NULL(type); 66 EXPECT_EQ(type->isa<TensorType>(), true); 67 auto tensor_type = type->cast<TensorTypePtr>(); 68 MS_EXCEPTION_IF_NULL(tensor_type); 69 auto data_type = tensor_type->element(); 70 MS_EXCEPTION_IF_NULL(data_type); 71 EXPECT_EQ(data_type->type_id(), kNumberTypeBool); 72 EXPECT_EQ(shape_vec.size(), 1); 73 EXPECT_EQ(shape_vec[0], 3); 74 } 75 76 } // namespace ops 77 } // namespace mindspore 78