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/audio_spectrogram.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 TestAudioSpectrogram : public UT::Common { 29 public: 30 TestAudioSpectrogram() {} 31 void SetUp() {} 32 void TearDown() {} 33 }; 34 35 TEST_F(TestAudioSpectrogram, test_ops_audio_spectrogram1) { 36 auto audio_spectrogram = std::make_shared<AudioSpectrogram>(); 37 audio_spectrogram->Init(3, 2, false); 38 EXPECT_EQ(audio_spectrogram->get_window_size(), 3); 39 EXPECT_EQ(audio_spectrogram->get_stride(), 2); 40 EXPECT_EQ(audio_spectrogram->get_mag_square(), false); 41 auto input0 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{4, 3}); 42 auto input1 = TensorConstructUtils::CreateOnesTensor(kNumberTypeInt32, std::vector<int64_t>{1}); 43 MS_EXCEPTION_IF_NULL(input0); 44 MS_EXCEPTION_IF_NULL(input1); 45 auto abstract = audio_spectrogram->Infer({input0->ToAbstract(), input1->ToAbstract()}); 46 MS_EXCEPTION_IF_NULL(abstract); 47 EXPECT_EQ(abstract->isa<abstract::AbstractTensor>(), true); 48 auto shape_ptr = abstract->BuildShape(); 49 MS_EXCEPTION_IF_NULL(shape_ptr); 50 EXPECT_EQ(shape_ptr->isa<abstract::Shape>(), true); 51 auto shape = shape_ptr->cast<abstract::ShapePtr>(); 52 MS_EXCEPTION_IF_NULL(shape); 53 auto shape_vec = shape->shape(); 54 EXPECT_EQ(shape_vec.size(), 3); 55 EXPECT_EQ(shape_vec[0], 3); 56 EXPECT_EQ(shape_vec[1], 1); 57 EXPECT_EQ(shape_vec[2], 2); 58 auto type = abstract->BuildType(); 59 MS_EXCEPTION_IF_NULL(type); 60 EXPECT_EQ(type->isa<TensorType>(), true); 61 auto tensor_type = type->cast<TensorTypePtr>(); 62 MS_EXCEPTION_IF_NULL(tensor_type); 63 auto data_type = tensor_type->element(); 64 MS_EXCEPTION_IF_NULL(data_type); 65 EXPECT_EQ(data_type->type_id(), kNumberTypeInt32); 66 } 67 68 } // namespace ops 69 } // namespace mindspore 70