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/custom_predict.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 TestCustomPredict : public UT::Common { 29 public: 30 TestCustomPredict() {} 31 void SetUp() {} 32 void TearDown() {} 33 }; 34 35 TEST_F(TestCustomPredict, test_ops_custom_predict1) { 36 auto custom_predict = std::make_shared<CustomPredict>(); 37 custom_predict->Init(5, 0.1); 38 EXPECT_EQ(custom_predict->get_output_num(), 5); 39 EXPECT_EQ((int64_t)(custom_predict->get_weight_threshold() - 0.1), 0); 40 auto inputs0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{1}); 41 MS_EXCEPTION_IF_NULL(inputs0); 42 auto abstract = custom_predict->Infer({inputs0->ToAbstract()}); 43 MS_EXCEPTION_IF_NULL(abstract); 44 EXPECT_EQ(abstract->isa<abstract::AbstractTuple>(), true); 45 auto shape_ptr = abstract->BuildShape(); 46 MS_EXCEPTION_IF_NULL(shape_ptr); 47 EXPECT_EQ(shape_ptr->isa<abstract::TupleShape>(), true); 48 auto shape = shape_ptr->cast<abstract::TupleShapePtr>(); 49 MS_EXCEPTION_IF_NULL(shape); 50 auto shape_vec = shape->shape(); 51 EXPECT_EQ(shape_vec.size(), 2); 52 auto shape1 = shape_vec[0]->cast<abstract::ShapePtr>()->shape(); 53 EXPECT_EQ(shape1.size(), 1); 54 EXPECT_EQ(shape1[0], 5); 55 auto shape2 = shape_vec[1]->cast<abstract::ShapePtr>()->shape(); 56 EXPECT_EQ(shape2.size(), 1); 57 EXPECT_EQ(shape2[0], 5); 58 auto type_ptr = abstract->BuildType(); 59 MS_EXCEPTION_IF_NULL(type_ptr); 60 auto type = type_ptr->cast<TuplePtr>(); 61 MS_EXCEPTION_IF_NULL(type); 62 auto type_vec = type->elements(); 63 MS_EXCEPTION_IF_NULL(type_vec[0]); 64 auto data0_type = type_vec[0]->cast<TensorTypePtr>()->element(); 65 MS_EXCEPTION_IF_NULL(data0_type); 66 EXPECT_EQ(data0_type->type_id(), kNumberTypeInt32); 67 MS_EXCEPTION_IF_NULL(type_vec[1]); 68 auto data1_type = type_vec[1]->cast<TensorTypePtr>()->element(); 69 MS_EXCEPTION_IF_NULL(data1_type); 70 EXPECT_EQ(data1_type->type_id(), kNumberTypeFloat32); 71 } 72 73 } // namespace ops 74 } // namespace mindspore 75