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/mfcc.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 TestMfcc : public UT::Common { 26 public: 27 TestMfcc() {} 28 void SetUp() {} 29 void TearDown() {} 30 }; 31 32 TEST_F(TestMfcc, test_ops_mfcc) { 33 auto mfcc = std::make_shared<Mfcc>(); 34 mfcc->Init(0, 0, 0, 0); 35 mfcc->set_dct_coeff_num(4); 36 EXPECT_EQ(mfcc->get_dct_coeff_num(), 4); 37 auto tensor_x = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{1, 2, 3}); 38 auto tensor_y = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat32, std::vector<int64_t>{3}); 39 MS_EXCEPTION_IF_NULL(tensor_x); 40 MS_EXCEPTION_IF_NULL(tensor_x); 41 auto mfcc_abstract = mfcc->Infer({tensor_x->ToAbstract(), tensor_y->ToAbstract()}); 42 MS_EXCEPTION_IF_NULL(mfcc_abstract); 43 EXPECT_EQ(mfcc_abstract->isa<abstract::AbstractTensor>(), true); 44 auto shape_ptr = mfcc_abstract->BuildShape(); 45 MS_EXCEPTION_IF_NULL(shape_ptr); 46 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 47 auto mfcc_shape = shape_ptr->cast<abstract::ShapePtr>(); 48 MS_EXCEPTION_IF_NULL(mfcc_shape); 49 auto shape_vec = mfcc_shape->shape(); 50 auto type = mfcc_abstract->BuildType(); 51 MS_EXCEPTION_IF_NULL(type); 52 EXPECT_EQ(type->isa<TensorType>(), true); 53 auto tensor_type = type->cast<TensorTypePtr>(); 54 MS_EXCEPTION_IF_NULL(tensor_type); 55 auto elem_type = tensor_type->element(); 56 EXPECT_EQ(elem_type->type_id(), kNumberTypeFloat32); 57 EXPECT_EQ(shape_vec.size(), 3); 58 EXPECT_EQ(shape_vec[0], 1); 59 EXPECT_EQ(shape_vec[1], 2); 60 EXPECT_EQ(shape_vec[2], 4); 61 } 62 63 } // namespace ops 64 } // namespace mindspore 65