IVGCVSW-7209 Remove deprecated code due to be removed in 23.02

* Removed weights and bias from Convolution, DepthwiseConv & FullyConnected
  layers
* Removed the weight and bias ConstTensorHandles from the QueueDescriptors
* Updated Workloads to take tensors from WorkloadInfo rather than the
  QueueDescriptors
* Removed unused RedirectMembersToConstantInputs optimization and tests.

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I9ffcdc4a1c0dff725539dd69fc435b700bd98a56

1 files changed, 0 insertions, 90 deletions

diff --git a/src/armnn/optimizations/RedirectMembersToConstantInputs.hpp b/src/armnn/optimizations/RedirectMembersToConstantInputs.hpp
deleted file mode 100644
index a2bad710e6..0000000000
--- a/src/armnn/optimizations/RedirectMembersToConstantInputs.hpp
+++ /dev/null
@@ -1,90 +0,0 @@
-//
-// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#pragma once
-
-#include "Optimization.hpp"
-
-#include <armnn/utility/IgnoreUnused.hpp>
-#include <armnn/utility/PolymorphicDowncast.hpp>
-
-namespace armnn
-{
-namespace optimizations
-{
-
-class RedirectMembersToConstantInputsImpl
-{
-public:
-    /// Search for layers with ConstantLayers as inputs. If the inputs are constant redirect the layers member
-    /// variable for ConstTensors (e.g. m_weights) to the data stored in the ConstantLayer it is connected to.
-    void Run(Graph& graph, Layer& layer) const
-    {
-        IgnoreUnused(graph);
-
-        switch (layer.GetType())
-        {
-            case LayerType::BatchNormalization:
-                break;
-            case LayerType::Convolution2d:
-                RedirectWeightsAndBiases<Convolution2dLayer>(&layer);
-                break;
-            case LayerType::DepthwiseConvolution2d:
-                RedirectWeightsAndBiases<DepthwiseConvolution2dLayer>(&layer);
-                break;
-            case LayerType::DetectionPostProcess:
-                break;
-            case LayerType::FullyConnected:
-                RedirectWeightsAndBiases<FullyConnectedLayer>(&layer);
-                break;
-            case LayerType::Lstm:
-                break;
-            case LayerType::TransposeConvolution2d:
-                break;
-            default:
-                break;
-        }
-    }
-
-protected:
-    RedirectMembersToConstantInputsImpl()  = default;
-    ~RedirectMembersToConstantInputsImpl() = default;
-
-private:
-    template <typename LayerT>
-    static LayerT* RedirectWeightsAndBiases(Layer* layer)
-    {
-        LayerT* layerPtr = PolymorphicDowncast<LayerT*>(layer);
-
-        // Loop through input slots to check for constant weights and biases layers.
-        // Weights index = 1, Biases index = 2.
-        for (unsigned int inputSlotIndex = 1; inputSlotIndex != layerPtr->GetNumInputSlots(); ++inputSlotIndex)
-        {
-            OutputSlot* outputSlot = layerPtr->GetInputSlot(inputSlotIndex).GetConnectedOutputSlot();
-            // Debug layers should not be inserted in optimize process yet
-            ARMNN_ASSERT(outputSlot->GetOwningLayer().GetType() != LayerType::Debug);
-            if (outputSlot->GetOwningLayer().GetType() == LayerType::Constant)
-            {
-                // Get constant layer and redirect base layer member variables.
-                ConstantLayer& constantLayer = dynamic_cast<ConstantLayer&>(outputSlot->GetOwningLayer());
-                if (inputSlotIndex == 1)
-                {
-                    layerPtr->m_Weight = constantLayer.m_LayerOutput;
-                }
-                else if (inputSlotIndex == 2)
-                {
-                    layerPtr->m_Bias = constantLayer.m_LayerOutput;
-                }
-            }
-        }
-
-        return layerPtr;
-    }
-};
-
-using RedirectMembersToConstantInputs = OptimizeForType<Layer, RedirectMembersToConstantInputsImpl>;
-
-} // namespace optimizations
-} // namespace armnn