1 files changed, 0 insertions, 152 deletions
diff --git a/delegate/src/SpaceDepth.hpp b/delegate/src/SpaceDepth.hpp
deleted file mode 100644
index cc7f03413d..0000000000
--- a/delegate/src/SpaceDepth.hpp
+++ /dev/null
@@ -1,152 +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 VisitSpaceToDepthOperator(DelegateData& delegateData,
-                                       TfLiteContext* tfLiteContext,
-                                       TfLiteNode* tfLiteNode,
-                                       int nodeIndex,
-                                       int32_t operatorCode)
-{
-    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-
-    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
-    const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const armnn::TensorInfo& inputTensorInfo  = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    armnn::SpaceToDepthDescriptor descriptor;
-    auto* params = reinterpret_cast<TfLiteSpaceToDepthParams*>(tfLiteNode->builtin_data);
-    descriptor.m_BlockSize = params->block_size;
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("SPACE_TO_DEPTH",
-                                   tfLiteContext,
-                                   IsSpaceToDepthSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo,
-                                   outInfo,
-                                   descriptor);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    // Add a SpaceToDepth layer
-    armnn::IConnectableLayer* layer = delegateData.m_Network->AddSpaceToDepthLayer(descriptor);
-    layer->SetBackendId(setBackend);
-    ARMNN_ASSERT(layer != nullptr);
-
-    // try to connect the Constant Inputs if there are any
-    if(ProcessInputs(layer,delegateData, tfLiteContext, tfLiteNode) != kTfLiteOk )
-    {
-        return kTfLiteError;
-    }
-
-    armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(0);
-    outputSlot.SetTensorInfo(outputTensorInfo);
-
-    // Connect
-    return Connect(layer, tfLiteNode, delegateData);
-}
-
-TfLiteStatus VisitDepthToSpaceOperator(DelegateData& delegateData,
-                                       TfLiteContext* tfLiteContext,
-                                       TfLiteNode* tfLiteNode,
-                                       int nodeIndex,
-                                       int32_t operatorCode)
-{
-    TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-    TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, 1, nodeIndex));
-
-    const TfLiteTensor* tfLiteTensors = tfLiteContext->tensors;
-    const TfLiteTensor& tfLiteInputTensor = tfLiteTensors[tfLiteNode->inputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteInputTensor, operatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const TfLiteTensor& tfLiteOutputTensor = tfLiteTensors[tfLiteNode->outputs->data[0]];
-    if (!IsValid(tfLiteContext, tfLiteOutputTensor, operatorCode, nodeIndex))
-    {
-        return kTfLiteError;
-    }
-
-    const armnn::TensorInfo& inputTensorInfo  = GetTensorInfoForTfLiteTensor(tfLiteInputTensor);
-    const armnn::TensorInfo& outputTensorInfo = GetTensorInfoForTfLiteTensor(tfLiteOutputTensor, true);
-
-    armnn::DepthToSpaceDescriptor descriptor;
-    auto* params = reinterpret_cast<TfLiteDepthToSpaceParams*>(tfLiteNode->builtin_data);
-    descriptor.m_BlockSize = params->block_size;
-
-    bool isSupported = false;
-    armnn::BackendId setBackend;
-    auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
-    {
-        FORWARD_LAYER_SUPPORT_FUNC("DEPTH_TO_SPACE",
-                                   tfLiteContext,
-                                   IsDepthToSpaceSupported,
-                                   delegateData.m_Backends,
-                                   isSupported,
-                                   setBackend,
-                                   inputTensorInfo,
-                                   outInfo,
-                                   descriptor);
-    };
-
-    if (!delegateData.m_Network)
-    {
-        validateFunc(outputTensorInfo, isSupported);
-        return isSupported ? kTfLiteOk : kTfLiteError;
-    }
-
-    // Add a DepthToSpace layer
-    armnn::IConnectableLayer* layer = delegateData.m_Network->AddDepthToSpaceLayer(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