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Diffstat (limited to 'source/use_case/ad/src/AdPostProcessing.cc')
-rw-r--r-- | source/use_case/ad/src/AdPostProcessing.cc | 116 |
1 files changed, 116 insertions, 0 deletions
diff --git a/source/use_case/ad/src/AdPostProcessing.cc b/source/use_case/ad/src/AdPostProcessing.cc new file mode 100644 index 0000000..157784b --- /dev/null +++ b/source/use_case/ad/src/AdPostProcessing.cc @@ -0,0 +1,116 @@ +/* + * Copyright (c) 2021 Arm Limited. All rights reserved. + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +#include "AdPostProcessing.hpp" + +#include "hal.h" + +#include <numeric> +#include <cmath> +#include <string> + +namespace arm { +namespace app { + + template<typename T> + std::vector<float> Dequantize(TfLiteTensor* tensor) { + + if (tensor == nullptr) { + printf_err("Tensor is null pointer can not dequantize.\n"); + return std::vector<float>(); + } + T* tensorData = tflite::GetTensorData<T>(tensor); + + uint32_t totalOutputSize = 1; + for (int inputDim = 0; inputDim < tensor->dims->size; inputDim++){ + totalOutputSize *= tensor->dims->data[inputDim]; + } + + /* For getting the floating point values, we need quantization parameters */ + QuantParams quantParams = GetTensorQuantParams(tensor); + + std::vector<float> dequantizedOutput(totalOutputSize); + + for (size_t i = 0; i < totalOutputSize; ++i) { + dequantizedOutput[i] = quantParams.scale * (tensorData[i] - quantParams.offset); + } + + return dequantizedOutput; + } + + void Softmax(std::vector<float>& inputVector) { + auto start = inputVector.begin(); + auto end = inputVector.end(); + + /* Fix for numerical stability and apply exp. */ + float maxValue = *std::max_element(start, end); + for (auto it = start; it!=end; ++it) { + *it = std::exp((*it) - maxValue); + } + + float sumExp = std::accumulate(start, end, 0.0f); + + for (auto it = start; it!=end; ++it) { + *it = (*it)/sumExp; + } + } + + int8_t OutputIndexFromFileName(std::string wavFileName) { + /* Filename is assumed in the form machine_id_00.wav */ + std::string delimiter = "_"; /* First character used to split the file name up. */ + size_t delimiterStart; + std::string subString; + size_t machineIdxInString = 3; /* Which part of the file name the machine id should be at. */ + + for (size_t i = 0; i < machineIdxInString; ++i) { + delimiterStart = wavFileName.find(delimiter); + subString = wavFileName.substr(0, delimiterStart); + wavFileName.erase(0, delimiterStart + delimiter.length()); + } + + /* At this point substring should be 00.wav */ + delimiter = "."; /* Second character used to split the file name up. */ + delimiterStart = subString.find(delimiter); + subString = (delimiterStart != std::string::npos) ? subString.substr(0, delimiterStart) : subString; + + auto is_number = [](const std::string& str) -> bool + { + std::string::const_iterator it = str.begin(); + while (it != str.end() && std::isdigit(*it)) ++it; + return !str.empty() && it == str.end(); + }; + + const int8_t machineIdx = is_number(subString) ? std::stoi(subString) : -1; + + /* Return corresponding index in the output vector. */ + if (machineIdx == 0) { + return 0; + } else if (machineIdx == 2) { + return 1; + } else if (machineIdx == 4) { + return 2; + } else if (machineIdx == 6) { + return 3; + } else { + printf_err("%d is an invalid machine index \n", machineIdx); + return -1; + } + } + + template std::vector<float> Dequantize<uint8_t>(TfLiteTensor* tensor); + template std::vector<float> Dequantize<int8_t>(TfLiteTensor* tensor); +} /* namespace app */ +} /* namespace arm */
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