Fix graph copy memory spike

 * Change layer storage of ConstTensors to std::shared_ptr<ConstCpuTensorHandle>
 * Change clone to share ConstTensor rather than copy
 * Remove uses of non-const GetTensor() call
 * Reduce scope of non-optimized network in ExeNet, so memory can be released after use

Signed-off-by: Finn Williams <Finn.Williams@arm.com>

Change-Id: Ibb2c7309d12411d21405bd6024c76bcdf5404545

1 files changed, 2 insertions, 2 deletions

diff --git a/src/armnn/layers/TransposeConvolution2dLayer.cpp b/src/armnn/layers/TransposeConvolution2dLayer.cpp
index bd8cb096e2..8f6908ea5d 100644
--- a/src/armnn/layers/TransposeConvolution2dLayer.cpp
+++ b/src/armnn/layers/TransposeConvolution2dLayer.cpp
@@ -44,11 +44,11 @@ TransposeConvolution2dLayer* TransposeConvolution2dLayer::Clone(Graph& graph) co
 {
     auto layer = CloneBase<TransposeConvolution2dLayer>(graph, m_Param, GetName());
 
-    layer->m_Weight = m_Weight ? std::make_unique<ScopedCpuTensorHandle>(*m_Weight) : nullptr;
+    layer->m_Weight = m_Weight ? m_Weight : nullptr;
 
     if (layer->m_Param.m_BiasEnabled)
     {
-        layer->m_Bias = m_Bias ? std::make_unique<ScopedCpuTensorHandle>(*m_Bias) : nullptr;
+        layer->m_Bias = m_Bias ? m_Bias : nullptr;
     }
 
     return std::move(layer);