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/merge.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 TestMerge : public UT::Common { 29 public: 30 TestMerge() {} 31 void SetUp() {} 32 void TearDown() {} 33 }; 34 35 TEST_F(TestMerge, test_ops_merge1) { 36 auto merge = std::make_shared<Merge>(); 37 merge->Init(); 38 auto input_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{2, 4}); 39 auto input_y = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{2, 4}); 40 MS_EXCEPTION_IF_NULL(input_x); 41 MS_EXCEPTION_IF_NULL(input_y); 42 std::vector<ValuePtr> inputs_ = {input_x, input_y}; 43 auto input = std::make_shared<ValueTuple>(inputs_); 44 auto abstract = merge->Infer({input->ToAbstract()}); 45 MS_EXCEPTION_IF_NULL(abstract); 46 auto shape_ptr = abstract->BuildShape(); 47 MS_EXCEPTION_IF_NULL(shape_ptr); 48 EXPECT_EQ(shape_ptr->isa<abstract::TupleShape>(), true); 49 auto shape = shape_ptr->cast<abstract::TupleShapePtr>(); 50 MS_EXCEPTION_IF_NULL(shape); 51 auto shape_vec = shape->shape(); 52 EXPECT_EQ(shape_vec.size(), 2); 53 auto shape1 = shape_vec[0]->cast<abstract::ShapePtr>()->shape(); 54 EXPECT_EQ(shape1.size(), 2); 55 EXPECT_EQ(shape1[0], 2); 56 EXPECT_EQ(shape1[1], 4); 57 auto shape2 = shape_vec[1]->cast<abstract::ShapePtr>()->shape(); 58 EXPECT_EQ(shape2.size(), 1); 59 EXPECT_EQ(shape2[0], 1); 60 auto type_ptr = abstract->BuildType(); 61 MS_EXCEPTION_IF_NULL(type_ptr); 62 auto type = type_ptr->cast<TuplePtr>(); 63 auto type_vec = type->elements(); 64 MS_EXCEPTION_IF_NULL(type_vec[0]); 65 auto data_type1 = type_vec[0]->cast<TensorTypePtr>()->element(); 66 MS_EXCEPTION_IF_NULL(data_type1); 67 EXPECT_EQ(data_type1->type_id(), kNumberTypeFloat32); 68 auto data_type2 = type_vec[1]->cast<TensorTypePtr>()->element(); 69 MS_EXCEPTION_IF_NULL(data_type2); 70 EXPECT_EQ(data_type2->type_id(), kNumberTypeInt32); 71 } 72 73 } // namespace ops 74 } // namespace mindspore 75