1 files changed, 0 insertions, 93 deletions
diff --git a/src/armnn/optimizations/FoldPadIntoConvolution2d.hpp b/src/armnn/optimizations/FoldPadIntoConvolution2d.hpp
deleted file mode 100644
index 5def6dfdd2..0000000000
--- a/src/armnn/optimizations/FoldPadIntoConvolution2d.hpp
+++ /dev/null
@@ -1,93 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "Optimization.hpp"
-
-#include <armnn/utility/PolymorphicDowncast.hpp>
-
-namespace armnn
-{
-namespace optimizations
-{
-
-class FoldPadIntoConvolution2dImpl
-{
-public:
-
-    void Run(Graph& graph, InputSlot& connection) const
-    {
-        Layer& base = connection.GetConnectedOutputSlot()->GetOwningLayer();
-        Layer& child = connection.GetOwningLayer();
-
-        ARMNN_ASSERT(base.GetType() == LayerType::Pad);
-        ARMNN_ASSERT(child.GetType() == LayerType::Convolution2d);
-
-        PadLayer* padLayer = PolymorphicDowncast<PadLayer*>(&base);
-        Convolution2dLayer* convolution2dLayer = PolymorphicDowncast<Convolution2dLayer*>(&child);
-
-        OutputSlot* parentOut = base.GetInputSlot(0).GetConnectedOutputSlot();
-
-        const std::string name = std::string("folded-") + base.GetName() + std::string("-into-") + child.GetName();
-        Convolution2dDescriptor descriptor = convolution2dLayer->GetParameters();
-
-        auto padList = padLayer->GetParameters().m_PadList;
-
-        armnn::DataLayout dataLayout = descriptor.m_DataLayout;
-
-        // In Convolution2dDescriptor, padLeft and padRight are defined as paddings on width dimension
-        // whereas padTop and padBottom - paddings on height dimension, so setting these according to data layout
-        if(dataLayout == armnn::DataLayout::NHWC)
-        {
-            descriptor.m_PadLeft = padList[2].first;
-            descriptor.m_PadRight = padList[2].second;
-            descriptor.m_PadTop = padList[1].first;
-            descriptor.m_PadBottom = padList[1].second;
-        }
-        else
-        {
-            descriptor.m_PadLeft = padList[3].first;
-            descriptor.m_PadRight = padList[3].second;
-            descriptor.m_PadTop = padList[2].first;
-            descriptor.m_PadBottom = padList[2].second;
-        }
-
-        auto& newConv2dLayer = *graph.InsertNewLayer<Convolution2dLayer>(base.GetInputSlot(0),
-                                                                         descriptor,
-                                                                         name.c_str());
-
-        // Copy weights and bias to the new convolution layer
-        ARMNN_ASSERT_MSG(convolution2dLayer->m_Weight != nullptr,
-                         "FoldPadIntoConvolution2d: Weights data should not be null.");
-        newConv2dLayer.m_Weight = std::move(convolution2dLayer->m_Weight);
-        if (descriptor.m_BiasEnabled)
-        {
-            ARMNN_ASSERT_MSG(convolution2dLayer->m_Bias != nullptr,
-                             "FoldPadIntoConvolution2d: Bias data should not be null if bias is enabled.");
-            newConv2dLayer.m_Bias = std::move(convolution2dLayer->m_Bias);
-        }
-
-        // Reconnects with original parent.
-        newConv2dLayer.GetOutputSlot().MoveAllConnections(*parentOut);
-        // Parent is now the new convolution2d layer.
-        parentOut = &newConv2dLayer.GetOutputSlot();
-
-        // Moves connections in child output to parent layer.
-        // Child layer will be removed as it's left unconnected.
-        // Base layer will be removed if left unconnected.
-        child.GetOutputSlot().MoveAllConnections(*parentOut);
-    }
-protected:
-    FoldPadIntoConvolution2dImpl() =  default;
-    ~FoldPadIntoConvolution2dImpl() = default;
-};
-
-using FoldPadIntoConvolution2d = OptimizeForConnection<PadLayer, Convolution2dLayer, FoldPadIntoConvolution2dImpl>;
-
-} // namespace optimizations
-} // namespace armnn
-
-