1 files changed, 0 insertions, 102 deletions
diff --git a/delegate/src/LogicalBinary.hpp b/delegate/src/LogicalBinary.hpp
deleted file mode 100644
index d71618ee9c..0000000000
--- a/delegate/src/LogicalBinary.hpp
+++ /dev/null
@@ -1,102 +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/minimal_logging.h>
-
-namespace armnnDelegate
-{
-
-TfLiteStatus VisitLogicalBinaryOperator(DelegateData& delegateData,
-                                        TfLiteContext* tfLiteContext,
-                                        TfLiteNode* tfLiteNode,
-                                        int nodeIndex,
-                                        int32_t logicalOperatorCode,
-                                        armnn::LogicalBinaryOperation binaryOperation)
-{
-    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 (!IsValid(tfLiteContext, tfLiteInputTensor0, logicalOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteInputTensor1 = tfLiteTensors[tfLiteNode->inputs->data[1]];
-    if (!IsValid(tfLiteContext, tfLiteInputTensor1, logicalOperatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, logicalOperatorCode, 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);
-    }
-
-    // Setup descriptor and assign operation
-    armnn::LogicalBinaryDescriptor desc;
-    desc.m_Operation = binaryOperation;
-
-    // Check if supported
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("LOGICAL_BINARY",
-                                   tfLiteContext,
-                                   IsLogicalBinarySupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo0,
-                                   inputTensorInfo1,
-                                   outputTensorInfo,
-                                   desc);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    armnn::IConnectableLayer* logicalBinaryLayer = delegateData.m_Network->AddLogicalBinaryLayer(desc);
-    logicalBinaryLayer->SetBackendId(setBackend);
-    ARMNN_ASSERT(logicalBinaryLayer != nullptr);
-
-    armnn::IOutputSlot& outputSlot = logicalBinaryLayer->GetOutputSlot(0);
-    outputSlot.SetTensorInfo(outputTensorInfo);
-
-    auto inputsTensorsProcess = ProcessInputs(logicalBinaryLayer,
-                                              delegateData,
-                                              tfLiteContext,
-                                              tfLiteNode);
-    if (inputsTensorsProcess == kTfLiteError)
-    {
-        return inputsTensorsProcess;
-    }
-
-    return Connect(logicalBinaryLayer, tfLiteNode, delegateData);
-}
-
-} // namespace armnnDelegate