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/one_hot.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 TestOneHot : public UT::Common { 29 public: 30 TestOneHot() {} 31 void SetUp() {} 32 void TearDown() {} 33 }; 34 35 TEST_F(TestOneHot, test_ops_one_hot1) { 36 auto one_hot = std::make_shared<OneHot>(); 37 one_hot->Init(-1); 38 EXPECT_EQ(one_hot->get_axis(), -1); 39 auto indice = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{3}); 40 auto depth = MakeValue<int64_t>(3); 41 auto on_value = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1}); 42 auto off_value = TensorConstructUtils::CreateZerosTensor(kNumberTypeFloat32, std::vector<int64_t>{1}); 43 MS_EXCEPTION_IF_NULL(indice); 44 MS_EXCEPTION_IF_NULL(depth); 45 MS_EXCEPTION_IF_NULL(on_value); 46 MS_EXCEPTION_IF_NULL(off_value); 47 auto abstract = 48 one_hot->Infer({indice->ToAbstract(), depth->ToAbstract(), on_value->ToAbstract(), off_value->ToAbstract()}); 49 MS_EXCEPTION_IF_NULL(abstract); 50 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 51 auto shape_ptr = abstract->BuildShape(); 52 MS_EXCEPTION_IF_NULL(shape_ptr); 53 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 54 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 55 MS_EXCEPTION_IF_NULL(shape); 56 auto shape_vec = shape->shape(); 57 auto type = abstract->BuildType(); 58 MS_EXCEPTION_IF_NULL(type); 59 EXPECT_EQ(type->isa<TensorType>(), true); 60 auto tensor_type = type->cast<TensorTypePtr>(); 61 MS_EXCEPTION_IF_NULL(tensor_type); 62 auto data_type = tensor_type->element(); 63 MS_EXCEPTION_IF_NULL(data_type); 64 EXPECT_EQ(data_type->type_id(), kNumberTypeFloat32); 65 EXPECT_EQ(shape_vec.size(), 2); 66 EXPECT_EQ(shape_vec[0], 3); 67 } 68 69 } // namespace ops 70 } // namespace mindspore 71