1 files changed, 0 insertions, 110 deletions
diff --git a/delegate/src/Transpose.hpp b/delegate/src/Transpose.hpp
deleted file mode 100644
index 41178d0b59..0000000000
--- a/delegate/src/Transpose.hpp
+++ /dev/null
@@ -1,110 +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>
-#include <tensorflow/lite/kernels/internal/tensor_ctypes.h>
-
-namespace armnnDelegate
-{
-
-TfLiteStatus VisitTransposeOperator(DelegateData& delegateData,
-                                    TfLiteContext* tfLiteContext,
-                                    TfLiteNode* tfLiteNode,
-                                    int nodeIndex,
-                                    int32_t tfliteTransposeOperatorCode)
-{
-    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: ",
-                                 tfliteTransposeOperatorCode, 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: ",
-                                 tfliteTransposeOperatorCode, 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: ",
-                                 tfliteTransposeOperatorCode, nodeIndex);
-        return kTfLiteError;
-    }
-
-    const armnn::TensorInfo& inputTensorInfo0 = GetTensorInfoForTfLiteTensor(tfLiteInputTensor0);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    auto* permTensorDataPtr = tflite::GetTensorData<int32_t>(&tfLiteInputTensor1);
-    unsigned int numEl = tfLiteInputTensor1.dims->data[0];
-
-    ARMNN_ASSERT( numEl <= static_cast<int>(armnn::MaxNumOfTensorDimensions));
-    ARMNN_ASSERT( tfLiteInputTensor1.dims->size == 1); // ensure only single dimension to the permutation tensor
-
-    armnn::TransposeDescriptor descriptor(armnn::PermutationVector(
-        reinterpret_cast<const armnn::PermutationVector::ValueType *> (permTensorDataPtr),
-        static_cast<armnn::PermutationVector::SizeType>(numEl)));
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outputTensorInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("TRANSPOSE",
-                                   tfLiteContext,
-                                   IsTransposeSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo0,
-                                   outputTensorInfo,
-                                   descriptor);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    armnn::IConnectableLayer* transposeLayer = delegateData.m_Network->AddTransposeLayer(descriptor);
-    transposeLayer->SetBackendId(setBackend);
-    ARMNN_ASSERT(transposeLayer != nullptr);
-    ARMNN_ASSERT(transposeLayer->GetNumInputSlots() == 1);     // permutation vector given to descriptor object
-
-    armnn::IOutputSlot& outputSlot = transposeLayer->GetOutputSlot(0);
-    outputSlot.SetTensorInfo(outputTensorInfo);
-
-    // try to connect the Constant Inputs if there are any
-    if(ProcessInputs(transposeLayer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
-    {
-        return kTfLiteError;
-    }
-
-    return Connect(transposeLayer, tfLiteNode, delegateData);
-}
-} // namespace armnnDelegate