1 files changed, 0 insertions, 132 deletions
diff --git a/delegate/src/ArgMinMax.hpp b/delegate/src/ArgMinMax.hpp
deleted file mode 100644
index 4e4a2a3f3a..0000000000
--- a/delegate/src/ArgMinMax.hpp
+++ /dev/null
@@ -1,132 +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 VisitArgMinMaxOperator(DelegateData& delegateData,
-                                    TfLiteContext* tfLiteContext,
-                                    TfLiteNode* tfLiteNode,
-                                    int nodeIndex,
-                                    int32_t argMinMaxOperatorCode)
-{
-    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, argMinMaxOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, argMinMaxOperatorCode, 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, argMinMaxOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    armnn::ArgMinMaxDescriptor desc;
-    // Get the axis value from the input tensor
-    switch (tfLiteAxisTensor.type)
-    {
-        case kTfLiteInt32:
-        case kTfLiteInt64:
-            desc.m_Axis = tflite::GetTensorData<int>(&tfLiteAxisTensor)[0];
-            break;
-        default:
-            TF_LITE_MAYBE_KERNEL_LOG(
-                tfLiteContext,
-                "TfLiteArmnnDelegate: Axis value data type is not supported in operator #%d node #%d: ",
-                argMinMaxOperatorCode, nodeIndex);
-            return kTfLiteError;
-    }
-
-    // If output_type is int32 then set Signed32 else Signed64. Default type is Signed64.
-    if (argMinMaxOperatorCode == kTfLiteBuiltinArgMax)
-    {
-        desc.m_Function = armnn::ArgMinMaxFunction::Max;
-        auto* argMaxParameters = reinterpret_cast<TfLiteArgMaxParams*>(tfLiteNode->builtin_data);
-        if (argMaxParameters->output_type != kTfLiteInt32 && argMaxParameters->output_type != kTfLiteInt64)
-        {
-            TF_LITE_MAYBE_KERNEL_LOG(
-                tfLiteContext,
-                "TfLiteArmnnDelegate: output_type data type is not supported in operator #%d node #%d: ",
-                argMinMaxOperatorCode, nodeIndex);
-            return kTfLiteError;
-        }
-    }
-    else
-    {
-        desc.m_Function = armnn::ArgMinMaxFunction::Min;
-        auto* argMinParameters = reinterpret_cast<TfLiteArgMinParams*>(tfLiteNode->builtin_data);
-        if (argMinParameters->output_type != kTfLiteInt32 && argMinParameters->output_type != kTfLiteInt64)
-        {
-            TF_LITE_MAYBE_KERNEL_LOG(
-                    tfLiteContext,
-                    "TfLiteArmnnDelegate: output_type data type is not supported in operator #%d node #%d: ",
-                    argMinMaxOperatorCode, nodeIndex);
-            return kTfLiteError;
-        }
-    }
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("ARGMINMAX",
-                                   tfLiteContext,
-                                   IsArgMinMaxSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo,
-                                   outInfo,
-                                   desc);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    // Add an ArgMinMax layer
-    armnn::IConnectableLayer* layer = delegateData.m_Network->AddArgMinMaxLayer(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