1 files changed, 96 insertions, 0 deletions
diff --git a/source/application/api/use_case/noise_reduction/src/RNNoiseModel.cc b/source/application/api/use_case/noise_reduction/src/RNNoiseModel.cc
new file mode 100644
index 0000000..457cda9
--- /dev/null
+++ b/source/application/api/use_case/noise_reduction/src/RNNoiseModel.cc
@@ -0,0 +1,96 @@
+/*
+ * 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 (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;
+    }
+    return true;
+}
+
+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;
+}