1 files changed, 0 insertions, 146 deletions
diff --git a/delegate/src/Reduce.hpp b/delegate/src/Reduce.hpp
deleted file mode 100644
index 2d8b462cd2..0000000000
--- a/delegate/src/Reduce.hpp
+++ /dev/null
@@ -1,146 +0,0 @@
-//
-// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <tensorflow/lite/builtin_ops.h>
-#include <tensorflow/lite/c/builtin_op_data.h>
-#include <tensorflow/lite/c/common.h>
-#include <tensorflow/lite/kernels/internal/tensor_ctypes.h>
-#include <tensorflow/lite/minimal_logging.h>
-
-namespace armnnDelegate
-{
-
-TfLiteStatus VisitReduceOperator(DelegateData& delegateData,
-                                 TfLiteContext* tfLiteContext,
-                                 TfLiteNode* tfLiteNode,
-                                 int nodeIndex,
-                                 int32_t reduceOperatorCode)
-{
-    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
-    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-
-    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
-    const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteInputTensor, reduceOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, reduceOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const armnn::TensorInfo& inputTensorInfo  = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    // Get const axis value from model and set it to descriptor.
-    const TfLiteTensor& tfLiteAxisTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
-    if (!IsValid(tfLiteContext, tfLiteAxisTensor, reduceOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const armnn::TensorInfo& axisTensorInfo =   GetTensorInfoForTfLiteTensor(tfLiteAxisTensor);
-    auto* axisTensorData = tflite::GetTensorData<int32_t>(&tfLiteAxisTensor);
-
-    std::vector<int32_t> axis;
-    // Add axis data to vector to be converter to unsigned int and assigned to descriptor axis.
-    if (axisTensorData != nullptr)
-    {
-        for (unsigned int i = 0; i < axisTensorInfo.GetNumElements(); ++i)
-        {
-            axis.emplace_back(axisTensorData[i]);
-        }
-    }
-    else
-    {
-        for (unsigned int i = 0; i < inputTensorInfo.GetNumDimensions(); ++i)
-        {
-            axis.push_back(i);
-        }
-    }
-
-    // Convert the axis to unsigned int and remove duplicates.
-    unsigned int rank = inputTensorInfo.GetNumDimensions();
-    std::set<unsigned int> uniqueAxis;
-    std::transform(axis.begin(),
-                   axis.end(),
-                   std::inserter(uniqueAxis, uniqueAxis.begin()),
-                   [rank](int i)->unsigned int{ return (i + rank) % rank; });
-
-    armnn::ReduceDescriptor desc;
-    desc.m_vAxis.assign(uniqueAxis.begin(), uniqueAxis.end());
-
-    auto* reducerParameters = reinterpret_cast<TfLiteReducerParams*>(tfLiteNode->builtin_data);
-    desc.m_KeepDims = reducerParameters->keep_dims;
-    if (reduceOperatorCode == kTfLiteBuiltinReduceMax)
-    {
-        desc.m_ReduceOperation = armnn::ReduceOperation::Max;
-    }
-    else if (reduceOperatorCode == kTfLiteBuiltinReduceMin)
-    {
-        desc.m_ReduceOperation = armnn::ReduceOperation::Min;
-    }
-    else if (reduceOperatorCode == kTfLiteBuiltinSum)
-    {
-        desc.m_ReduceOperation = armnn::ReduceOperation::Sum;
-    }
-    else if (reduceOperatorCode == kTfLiteBuiltinReduceProd)
-    {
-        desc.m_ReduceOperation = armnn::ReduceOperation::Prod;
-    }
-    else
-    {
-        TF_LITE_MAYBE_KERNEL_LOG(
-            tfLiteContext,
-            "TfLiteArmnnDelegate: Unsupported Reduction Operator #%d node #%d: ",
-            reduceOperatorCode, nodeIndex);
-        return kTfLiteError;
-    }
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("REDUCE",
-                                   tfLiteContext,
-                                   IsReduceSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo,
-                                   outInfo,
-                                   desc);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    // Add an Reduce layer
-    armnn::IConnectableLayer* layer = delegateData.m_Network->AddReduceLayer(desc);
-    layer->SetBackendId(setBackend);
-    ARMNN_ASSERT(layer != nullptr);
-
-    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
-    outputSlot.SetTensorInfo(outputTensorInfo);
-
-    // try to connect the Constant Inputs if there are any
-    if(ProcessInputs(layer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
-    {
-        return kTfLiteError;
-    }
-
-    // Connect
-    return Connect(layer, tfLiteNode, delegateData);
-}
-
-} // namespace armnnDelegate