Richard Burton | 0055346 | 2021-11-10 16:27:14 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2021 Arm Limited. All rights reserved. |
| 3 | * SPDX-License-Identifier: Apache-2.0 |
| 4 | * |
| 5 | * Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | * you may not use this file except in compliance with the License. |
| 7 | * You may obtain a copy of the License at |
| 8 | * |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | * |
| 11 | * Unless required by applicable law or agreed to in writing, software |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | * See the License for the specific language governing permissions and |
| 15 | * limitations under the License. |
| 16 | */ |
| 17 | #include "RNNoiseModel.hpp" |
alexander | 31ae9f0 | 2022-02-10 16:15:54 +0000 | [diff] [blame] | 18 | #include "log_macros.h" |
Richard Burton | 0055346 | 2021-11-10 16:27:14 +0000 | [diff] [blame] | 19 | |
| 20 | const tflite::MicroOpResolver& arm::app::RNNoiseModel::GetOpResolver() |
| 21 | { |
| 22 | return this->m_opResolver; |
| 23 | } |
| 24 | |
| 25 | bool arm::app::RNNoiseModel::EnlistOperations() |
| 26 | { |
| 27 | this->m_opResolver.AddUnpack(); |
| 28 | this->m_opResolver.AddFullyConnected(); |
| 29 | this->m_opResolver.AddSplit(); |
| 30 | this->m_opResolver.AddSplitV(); |
| 31 | this->m_opResolver.AddAdd(); |
| 32 | this->m_opResolver.AddLogistic(); |
| 33 | this->m_opResolver.AddMul(); |
| 34 | this->m_opResolver.AddSub(); |
| 35 | this->m_opResolver.AddTanh(); |
| 36 | this->m_opResolver.AddPack(); |
| 37 | this->m_opResolver.AddReshape(); |
| 38 | this->m_opResolver.AddQuantize(); |
| 39 | this->m_opResolver.AddConcatenation(); |
| 40 | this->m_opResolver.AddRelu(); |
| 41 | |
| 42 | #if defined(ARM_NPU) |
| 43 | if (kTfLiteOk == this->m_opResolver.AddEthosU()) { |
| 44 | info("Added %s support to op resolver\n", |
| 45 | tflite::GetString_ETHOSU()); |
| 46 | } else { |
| 47 | printf_err("Failed to add Arm NPU support to op resolver."); |
| 48 | return false; |
| 49 | } |
| 50 | #endif /* ARM_NPU */ |
| 51 | return true; |
| 52 | } |
| 53 | |
| 54 | extern uint8_t* GetModelPointer(); |
| 55 | const uint8_t* arm::app::RNNoiseModel::ModelPointer() |
| 56 | { |
| 57 | return GetModelPointer(); |
| 58 | } |
| 59 | |
| 60 | extern size_t GetModelLen(); |
| 61 | size_t arm::app::RNNoiseModel::ModelSize() |
| 62 | { |
| 63 | return GetModelLen(); |
| 64 | } |
| 65 | |
| 66 | bool arm::app::RNNoiseModel::RunInference() |
| 67 | { |
| 68 | return Model::RunInference(); |
| 69 | } |
| 70 | |
| 71 | void arm::app::RNNoiseModel::ResetGruState() |
| 72 | { |
| 73 | for (auto& stateMapping: this->m_gruStateMap) { |
| 74 | TfLiteTensor* inputGruStateTensor = this->GetInputTensor(stateMapping.second); |
| 75 | auto* inputGruState = tflite::GetTensorData<int8_t>(inputGruStateTensor); |
| 76 | /* Initial value of states is 0, but this is affected by quantization zero point. */ |
| 77 | auto quantParams = arm::app::GetTensorQuantParams(inputGruStateTensor); |
| 78 | memset(inputGruState, quantParams.offset, inputGruStateTensor->bytes); |
| 79 | } |
| 80 | } |
| 81 | |
| 82 | bool arm::app::RNNoiseModel::CopyGruStates() |
| 83 | { |
| 84 | std::vector<std::pair<size_t, std::vector<int8_t>>> tempOutGruStates; |
| 85 | /* Saving output states before copying them to input states to avoid output states modification in the tensor. |
| 86 | * tflu shares input and output tensors memory, thus writing to input tensor can change output tensor values. */ |
| 87 | for (auto& stateMapping: this->m_gruStateMap) { |
| 88 | TfLiteTensor* outputGruStateTensor = this->GetOutputTensor(stateMapping.first); |
| 89 | std::vector<int8_t> tempOutGruState(outputGruStateTensor->bytes); |
| 90 | auto* outGruState = tflite::GetTensorData<int8_t>(outputGruStateTensor); |
| 91 | memcpy(tempOutGruState.data(), outGruState, outputGruStateTensor->bytes); |
| 92 | /* Index of the input tensor and the data to copy. */ |
| 93 | tempOutGruStates.emplace_back(stateMapping.second, std::move(tempOutGruState)); |
| 94 | } |
| 95 | /* Updating input GRU states with saved GRU output states. */ |
| 96 | for (auto& stateMapping: tempOutGruStates) { |
| 97 | auto outputGruStateTensorData = stateMapping.second; |
| 98 | TfLiteTensor* inputGruStateTensor = this->GetInputTensor(stateMapping.first); |
| 99 | if (outputGruStateTensorData.size() != inputGruStateTensor->bytes) { |
| 100 | printf_err("Unexpected number of bytes for GRU state mapping. Input = %zuz, output = %zuz.\n", |
| 101 | inputGruStateTensor->bytes, |
| 102 | outputGruStateTensorData.size()); |
| 103 | return false; |
| 104 | } |
| 105 | auto* inputGruState = tflite::GetTensorData<int8_t>(inputGruStateTensor); |
| 106 | auto* outGruState = outputGruStateTensorData.data(); |
| 107 | memcpy(inputGruState, outGruState, inputGruStateTensor->bytes); |
| 108 | } |
| 109 | return true; |
| 110 | } |