1 files changed, 0 insertions, 110 deletions

diff --git a/source/use_case/noise_reduction/src/RNNoiseModel.cc b/source/use_case/noise_reduction/src/RNNoiseModel.cc
deleted file mode 100644
index 244fa1a..0000000
--- a/source/use_case/noise_reduction/src/RNNoiseModel.cc
+++ /dev/null
@@ -1,110 +0,0 @@
-/*
- * 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 "RNNoiseModel.hpp"
-#include "log_macros.h"
-
-const tflite::MicroOpResolver& arm::app::RNNoiseModel::GetOpResolver()
-{
-    return this->m_opResolver;
-}
-
-bool arm::app::RNNoiseModel::EnlistOperations()
-{
-    this->m_opResolver.AddUnpack();
-    this->m_opResolver.AddFullyConnected();
-    this->m_opResolver.AddSplit();
-    this->m_opResolver.AddSplitV();
-    this->m_opResolver.AddAdd();
-    this->m_opResolver.AddLogistic();
-    this->m_opResolver.AddMul();
-    this->m_opResolver.AddSub();
-    this->m_opResolver.AddTanh();
-    this->m_opResolver.AddPack();
-    this->m_opResolver.AddReshape();
-    this->m_opResolver.AddQuantize();
-    this->m_opResolver.AddConcatenation();
-    this->m_opResolver.AddRelu();
-
-#if defined(ARM_NPU)
-    if (kTfLiteOk == this->m_opResolver.AddEthosU()) {
-        info("Added %s support to op resolver\n",
-            tflite::GetString_ETHOSU());
-    } else {
-        printf_err("Failed to add Arm NPU support to op resolver.");
-        return false;
-    }
-#endif /* ARM_NPU */
-    return true;
-}
-
-extern uint8_t* GetModelPointer();
-const uint8_t* arm::app::RNNoiseModel::ModelPointer()
-{
-    return GetModelPointer();
-}
-
-extern size_t GetModelLen();
-size_t arm::app::RNNoiseModel::ModelSize()
-{
-    return GetModelLen();
-}
-
-bool arm::app::RNNoiseModel::RunInference()
-{
-    return Model::RunInference();
-}
-
-void arm::app::RNNoiseModel::ResetGruState()
-{
-    for (auto& stateMapping: this->m_gruStateMap) {
-        TfLiteTensor* inputGruStateTensor = this->GetInputTensor(stateMapping.second);
-        auto* inputGruState = tflite::GetTensorData<int8_t>(inputGruStateTensor);
-        /* Initial value of states is 0, but this is affected by quantization zero point. */
-        auto quantParams = arm::app::GetTensorQuantParams(inputGruStateTensor);
-        memset(inputGruState, quantParams.offset, inputGruStateTensor->bytes);
-    }
-}
-
-bool arm::app::RNNoiseModel::CopyGruStates()
-{
-    std::vector<std::pair<size_t, std::vector<int8_t>>> tempOutGruStates;
-    /* Saving output states before copying them to input states to avoid output states modification in the tensor.
-     * tflu shares input and output tensors memory, thus writing to input tensor can change output tensor values. */
-    for (auto& stateMapping: this->m_gruStateMap) {
-        TfLiteTensor* outputGruStateTensor = this->GetOutputTensor(stateMapping.first);
-        std::vector<int8_t> tempOutGruState(outputGruStateTensor->bytes);
-        auto* outGruState = tflite::GetTensorData<int8_t>(outputGruStateTensor);
-        memcpy(tempOutGruState.data(), outGruState, outputGruStateTensor->bytes);
-        /* Index of the input tensor and the data to copy. */
-        tempOutGruStates.emplace_back(stateMapping.second, std::move(tempOutGruState));
-    }
-    /* Updating input GRU states with saved GRU output states. */
-    for (auto& stateMapping: tempOutGruStates) {
-        auto outputGruStateTensorData = stateMapping.second;
-        TfLiteTensor* inputGruStateTensor = this->GetInputTensor(stateMapping.first);
-        if (outputGruStateTensorData.size() != inputGruStateTensor->bytes) {
-            printf_err("Unexpected number of bytes for GRU state mapping. Input = %zuz, output = %zuz.\n",
-                       inputGruStateTensor->bytes,
-                       outputGruStateTensorData.size());
-            return false;
-        }
-        auto* inputGruState = tflite::GetTensorData<int8_t>(inputGruStateTensor);
-        auto* outGruState = outputGruStateTensorData.data();
-        memcpy(inputGruState, outGruState, inputGruStateTensor->bytes);
-    }
-    return true;
-}
\ No newline at end of file