1 files changed, 0 insertions, 114 deletions
diff --git a/delegate/src/Fill.hpp b/delegate/src/Fill.hpp
deleted file mode 100644
index e79133e15c..0000000000
--- a/delegate/src/Fill.hpp
+++ /dev/null
@@ -1,114 +0,0 @@
-//
-// Copyright © 2022 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 VisitFillOperator(DelegateData& delegateData,
-                               TfLiteContext* tfLiteContext,
-                               TfLiteNode* tfLiteNode,
-                               int nodeIndex,
-                               int32_t tfLiteFillOperatorCode)
-{
-    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-
-    switch(tfLiteFillOperatorCode)
-    {
-        case kTfLiteBuiltinFill:
-            TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex));
-            break;
-        default:
-            return kTfLiteError;
-    }
-
-    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
-    const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteInputTensor, tfLiteFillOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteFillTensor = tfLiteTensors[tfLiteNode->inputs->data[1]];
-    if (!IsValid(tfLiteContext, tfLiteFillTensor, tfLiteFillOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteFillOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    armnn::TensorInfo inputTensorInfo  = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    armnn::FillDescriptor descriptor;
-    switch (tfLiteFillTensor.type)
-    {
-        case kTfLiteFloat32:
-            descriptor.m_Value = tflite::GetTensorData<float>(&tfLiteFillTensor)[0];
-            break;
-        case kTfLiteInt32:
-            descriptor.m_Value = tflite::GetTensorData<int32_t>(&tfLiteFillTensor)[0];
-            break;
-        default:
-            TF_LITE_MAYBE_KERNEL_LOG(
-                tfLiteContext,
-                "TfLiteArmnnDelegate: FILL value data type is not supported in operator #%d node #%d: ",
-                tfLiteFillOperatorCode, nodeIndex);
-            return kTfLiteError;
-    }
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("FILL",
-                                   tfLiteContext,
-                                   IsFillSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo,
-                                   outInfo,
-                                   descriptor);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    armnn::IConnectableLayer* layer = delegateData.m_Network->AddFillLayer(descriptor);
-    layer->SetBackendId(setBackend);
-    ARMNN_ASSERT(layer != nullptr);
-
-    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
-    outputSlot.SetTensorInfo(outputTensorInfo);
-
-    auto inputsTensorsProcess = ProcessInputs(layer,
-                                              delegateData,
-                                              tfLiteContext,
-                                              tfLiteNode);
-    if (inputsTensorsProcess == kTfLiteError)
-    {
-        return inputsTensorsProcess;
-    }
-
-    return Connect(layer, tfLiteNode, delegateData);
-}
-
-} // namespace armnnDelegate