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/crop.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 class TestCrop : public UT::Common { 28 public: 29 TestCrop() {} 30 void SetUp() {} 31 void TearDown() {} 32 }; 33 34 TEST_F(TestCrop, test_ops_crop1) { 35 auto crop = std::make_shared<Crop>(); 36 crop->Init(1, std::vector<int64_t>{1, 1, 1, 1}); 37 std::vector<int64_t> ret = crop->get_offsets(); 38 EXPECT_EQ(crop->get_axis(), 1); 39 for (auto item : ret) { 40 EXPECT_EQ(item, 1); 41 } 42 auto tensor_x1 = std::make_shared<tensor::Tensor>(kNumberTypeFloat32, std::vector<int64_t>{2, 2}); 43 auto tensor_x2 = std::make_shared<tensor::Tensor>(kNumberTypeInt32, std::vector<int64_t>{1}); 44 MS_EXCEPTION_IF_NULL(tensor_x1); 45 MS_EXCEPTION_IF_NULL(tensor_x2); 46 auto tensor_x1_data = reinterpret_cast<float *>(tensor_x1->data_c()); 47 *tensor_x1_data = 1.0; 48 tensor_x1_data++; 49 *tensor_x1_data = 2.0; 50 tensor_x1_data++; 51 *tensor_x1_data = 3.0; 52 tensor_x1_data++; 53 *tensor_x1_data = 4.0; 54 tensor_x1_data++; 55 auto tensor_x2_data = reinterpret_cast<int *>(tensor_x2->data_c()); 56 *tensor_x2_data = 1; 57 auto abstract = crop->Infer({tensor_x1->ToAbstract(), tensor_x2->ToAbstract()}); 58 MS_EXCEPTION_IF_NULL(abstract); 59 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 60 auto shape_ptr = abstract->BuildShape(); 61 MS_EXCEPTION_IF_NULL(shape_ptr); 62 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 63 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 64 MS_EXCEPTION_IF_NULL(shape); 65 auto shape_vec = shape->shape(); 66 auto type = abstract->BuildType(); 67 MS_EXCEPTION_IF_NULL(type); 68 EXPECT_EQ(type->isa<TensorType>(), true); 69 auto tensor_type = type->cast<TensorTypePtr>(); 70 MS_EXCEPTION_IF_NULL(tensor_type); 71 auto data_type = tensor_type->element(); 72 MS_EXCEPTION_IF_NULL(data_type); 73 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32); 74 EXPECT_EQ(shape_vec.size(), 1); 75 EXPECT_EQ(shape_vec[0], 1); 76 } 77 } // namespace ops 78 } // namespace mindspore