1 files changed, 0 insertions, 135 deletions
diff --git a/delegate/src/Comparison.hpp b/delegate/src/Comparison.hpp
deleted file mode 100644
index 688f90c597..0000000000
--- a/delegate/src/Comparison.hpp
+++ /dev/null
@@ -1,135 +0,0 @@
-//
-// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "DelegateUtils.hpp"
-#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 VisitComparisonOperator(DelegateData& delegateData,
-                                     TfLiteContext* tfLiteContext,
-                                     TfLiteNode* tfLiteNode,
-                                     int nodeIndex,
-                                     int32_t tfLiteComparisonOperatorCode)
-{
-    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& tfLiteInputTensor0 = tfLiteTensors[tfLiteNode->inputs->data[0]];
-    if (IsDynamicTensor(tfLiteInputTensor0))
-    {
-        TF_LITE_MAYBE_KERNEL_LOG(
-            tfLiteContext,
-            "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
-            tfLiteComparisonOperatorCode, nodeIndex);
-
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]];
-    if (IsDynamicTensor(tfLiteInputTensor1))
-    {
-        TF_LITE_MAYBE_KERNEL_LOG(
-            tfLiteContext,
-            "TfLiteArmnnDelegate: Dynamic input tensors are not supported in operator #%d node #%d: ",
-            tfLiteComparisonOperatorCode, nodeIndex);
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (IsDynamicTensor(tfLiteOutputTensor))
-    {
-        TF_LITE_MAYBE_KERNEL_LOG(
-            tfLiteContext,
-            "TfLiteArmnnDelegate: Dynamic output tensors are not supported in operator #%d node #%d: ",
-            tfLiteComparisonOperatorCode, nodeIndex);
-        return kTfLiteError;
-    }
-
-    armnn::TensorInfo inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0);
-    armnn::TensorInfo inputTensorInfo1 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor1);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    // Check if we need to expand the dims of any of the input tensor infos.
-    // This is required for a few of the backends.
-    if(inputTensorInfo0.GetNumDimensions() != inputTensorInfo1.GetNumDimensions())
-    {
-        ExpandTensorRankToEqual(inputTensorInfo0, inputTensorInfo1);
-    }
-
-    armnn::ComparisonOperation comparisonOperation = armnn::ComparisonOperation::Equal;
-    switch(tfLiteComparisonOperatorCode)
-    {
-        case kTfLiteBuiltinEqual:
-            comparisonOperation = armnn::ComparisonOperation::Equal;
-            break;
-        case kTfLiteBuiltinGreater:
-            comparisonOperation = armnn::ComparisonOperation::Greater;
-            break;
-        case kTfLiteBuiltinGreaterEqual:
-            comparisonOperation = armnn::ComparisonOperation::GreaterOrEqual;
-            break;
-        case kTfLiteBuiltinLess:
-            comparisonOperation = armnn::ComparisonOperation::Less;
-            break;
-        case kTfLiteBuiltinLessEqual:
-            comparisonOperation = armnn::ComparisonOperation::LessOrEqual;
-            break;
-        case kTfLiteBuiltinNotEqual:
-            comparisonOperation = armnn::ComparisonOperation::NotEqual;
-            break;
-        default:
-            return kTfLiteError;
-    }
-
-    armnn::ComparisonDescriptor descriptor(comparisonOperation);
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("COMPARISON",
-                                   tfLiteContext,
-                                   IsComparisonSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo0,
-                                   inputTensorInfo1,
-                                   outputTensorInfo,
-                                   descriptor);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    armnn::IConnectableLayer* comparisonLayer = delegateData.m_Network->AddComparisonLayer(descriptor);
-    comparisonLayer->SetBackendId(setBackend);
-    ARMNN_ASSERT(comparisonLayer != nullptr);
-
-    armnn::IOutputSlot& outputSlot = comparisonLayer->GetOutputSlot(0);
-    outputSlot.SetTensorInfo(outputTensorInfo);
-
-    // try to connect the Constant Inputs if there are any
-    if(ProcessInputs(comparisonLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
-    {
-        return kTfLiteError;
-    }
-
-    return Connect(comparisonLayer, tfLiteNode, delegateData);
-}
-
-} // namespace armnnDelegate