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/sub.h" 20 #include "ir/dtype/type.h" 21 #include "abstract/dshape.h" 22 #include "utils/tensor_construct_utils.h" 23 namespace mindspore { 24 namespace ops { 25 class TestSub : public UT::Common { 26 public: 27 TestSub() {} 28 void SetUp() {} 29 void TearDown() {} 30 }; 31 32 TEST_F(TestSub, test_ops_sub) { 33 auto sub = std::make_shared<Sub>(); 34 sub->Init(); 35 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 3}); 36 auto tensor_y = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 3}); 37 MS_EXCEPTION_IF_NULL(tensor_x); 38 MS_EXCEPTION_IF_NULL(tensor_y); 39 auto sub_abstract = sub->Infer({tensor_x->ToAbstract(), tensor_y->ToAbstract()}); 40 MS_EXCEPTION_IF_NULL(sub_abstract); 41 EXPECT_EQ(sub_abstract->isa<abstract::AbstractTensor>(), true); 42 auto shape_ptr = sub_abstract->BuildShape(); 43 MS_EXCEPTION_IF_NULL(shape_ptr); 44 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 45 auto sub_shape = shape_ptr->cast<abstract::ShapePtr>(); 46 MS_EXCEPTION_IF_NULL(sub_shape); 47 auto shape_vec = sub_shape->shape(); 48 auto type = sub_abstract->BuildType(); 49 MS_EXCEPTION_IF_NULL(type); 50 EXPECT_EQ(type->isa<TensorType>(), true); 51 auto tensor_type = type->cast<TensorTypePtr>(); 52 MS_EXCEPTION_IF_NULL(tensor_type); 53 auto elem_type = tensor_type->element(); 54 EXPECT_EQ(elem_type->type_id(), kNumberTypeFloat32); 55 EXPECT_EQ(shape_vec.size(), 2); 56 EXPECT_EQ(shape_vec[0], 1); 57 EXPECT_EQ(shape_vec[1], 3); 58 } 59 60 } // namespace ops 61 } // namespace mindspore 62