1 files changed, 0 insertions, 141 deletions
diff --git a/delegate/src/Slice.hpp b/delegate/src/Slice.hpp
deleted file mode 100644
index f19e3327e4..0000000000
--- a/delegate/src/Slice.hpp
+++ /dev/null
@@ -1,141 +0,0 @@
-//
-// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include <armnn/utility/IgnoreUnused.hpp>
-
-#include <tensorflow/lite/builtin_ops.h>
-#include <tensorflow/lite/c/builtin_op_data.h>
-#include <tensorflow/lite/c/common.h>
-#include <tensorflow/lite/minimal_logging.h>
-
-namespace armnnDelegate
-{
-
-TfLiteStatus VisitSliceOperator(DelegateData& delegateData,
-                                TfLiteContext* tfLiteContext,
-                                TfLiteNode* tfLiteNode,
-                                int nodeIndex,
-                                int32_t sliceOperatorCode)
-{
-    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 3, nodeIndex));
-    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-
-    // Read inputs [input, begin, size]
-    int numInputs = tfLiteNode->inputs->size;
-    std::vector<const TfLiteTensor*> tfLiteInputs;
-    tfLiteInputs.reserve(numInputs);
-    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
-    for (int i = 0; i < numInputs; i++)
-    {
-        const TfLiteTensor* inputTensor = &tfLiteTensors[tfLiteNode->inputs->data[i]];
-        tfLiteInputs.push_back(inputTensor);
-        if (!IsValid(tfLiteContext, *inputTensor, sliceOperatorCode, nodeIndex))
-        {
-            return kTfLiteError;
-        }
-    }
-
-    // We save the begin and size tensors in our descriptor. Therefore we have to read those values from inputs
-    int inputRank = tfLiteInputs[0]->dims->size;
-    auto ReadInt32Input = [&](int inputIndex, std::vector<uint32_t>& outputData) ->  TfLiteStatus
-    {
-        if (tfLiteInputs[inputIndex]->type != kTfLiteInt32)
-        {
-            TF_LITE_MAYBE_KERNEL_LOG(
-                    tfLiteContext,
-                    "TfLiteArmnnDelegate: The Begin- and Size-Tensors of the Slice operation need to "
-                    "be of type int32. Operator: #%d node #%d: ",
-                    sliceOperatorCode, nodeIndex);
-            return kTfLiteError;
-        }
-        int rank = tfLiteInputs[inputIndex]->dims->size;
-        if (rank != 1)
-        {
-            TF_LITE_MAYBE_KERNEL_LOG(
-                    tfLiteContext,
-                    "TfLiteArmnnDelegate: The Begin- and Size-Tensors of the Slice operation need to "
-                    "be a 1D-Tensor. Operator: #%d node #%d: ",
-                    sliceOperatorCode, nodeIndex);
-            return kTfLiteError;
-        }
-        int numValues = tfLiteInputs[inputIndex]->dims->data[0];
-        if (numValues != inputRank)
-        {
-            TF_LITE_MAYBE_KERNEL_LOG(
-                    tfLiteContext,
-                    "TfLiteArmnnDelegate: The number of values in the Begin- and Size-Tensors of the "
-                    "Slice operation need to be equal to the rank of the Input-Tensor. Operator: #%d node #%d: ",
-                    sliceOperatorCode, nodeIndex);
-            return kTfLiteError;
-        }
-        // return tensor data
-        auto* tensorDataPtr = tflite::GetTensorData<uint32_t>(tfLiteInputs[inputIndex]);
-        outputData.assign(tensorDataPtr, tensorDataPtr+numValues);
-        return kTfLiteOk;
-    };
-
-    std::vector<uint32_t> begin;
-    if (ReadInt32Input(1, begin) != kTfLiteOk)
-        return kTfLiteError;
-    std::vector<uint32_t> size;
-    if (ReadInt32Input(2, size) != kTfLiteOk)
-        return kTfLiteError;
-
-    // Write all data to the descriptor
-    armnn::SliceDescriptor descriptor(begin, size);
-
-    // Validate output
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, sliceOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const armnn::TensorInfo& inputTensorInfo  = GetTensorInfoForTfLiteTensor(*tfLiteInputs[0]);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("SLICE",
-                                   tfLiteContext,
-                                   IsSliceSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo,
-                                   outInfo,
-                                   descriptor);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    // Add a Slice layer
-    armnn::IConnectableLayer* layer = delegateData.m_Network->AddSliceLayer(descriptor);
-    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
-