IVGCVSW-5736 and IVGCVSW-5743 'NonConstWeights: Update front-end and TfLiteDelegate support for FullyConnected Operator'

* Added front-end support for non-const weights for FULLY_CONNECTED operator
* Added FULLY_CONNECTED end-to-end test
* Updated FULLY_CONNECTED operator support in TfLite Arm NN Delegate for non-const weights
* Updated the version numbers

Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iffa5b9aa9297aca4c02d923cce4636c88ac21faa

1 files changed, 35 insertions, 10 deletions

diff --git a/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp b/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
index 9acca219b5..49e105f206 100644
--- a/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
+++ b/src/backends/reference/workloads/RefFullyConnectedWorkload.cpp
@@ -14,18 +14,21 @@ namespace armnn
 {
 RefFullyConnectedWorkload::RefFullyConnectedWorkload(
     const FullyConnectedQueueDescriptor& descriptor, const WorkloadInfo& info)
-        : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info),
-          m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight)))
+        : BaseWorkload<FullyConnectedQueueDescriptor>(descriptor, info)
 {
-    const TensorInfo& rWeightInfo = m_Weight->GetTensorInfo();
-    m_WeightShape = rWeightInfo.GetShape();
-    m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(true));
-
-    if (descriptor.m_Parameters.m_BiasEnabled)
+    if (descriptor.m_Parameters.m_ConstantWeights)
     {
-        m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
-        const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
-        m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
+        m_Weight = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
+        const TensorInfo& rWeightInfo = m_Weight->GetTensorInfo();
+        m_WeightShape = rWeightInfo.GetShape();
+        m_WeightDecoder = MakeDecoder<float>(rWeightInfo, m_Weight->Map(true));
+
+        if (descriptor.m_Parameters.m_BiasEnabled)
+        {
+            m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
+            const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
+            m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
+        }
     }
 }
 
@@ -36,6 +39,20 @@ void RefFullyConnectedWorkload::PostAllocationConfigure()
     m_InputShape = inputInfo.GetShape();
     m_InputDecoder = MakeDecoder<float>(inputInfo);
 
+    if (!m_Data.m_Parameters.m_ConstantWeights)
+    {
+        const TensorInfo& rWeightInfo = GetTensorInfo(m_Data.m_Inputs[1]);
+        ARMNN_ASSERT(inputInfo.GetNumDimensions() > 1);
+        m_WeightShape = rWeightInfo.GetShape();
+        m_WeightDecoder = MakeDecoder<float>(rWeightInfo);
+
+        if (m_Data.m_Parameters.m_BiasEnabled)
+        {
+            const TensorInfo& biasInfo = GetTensorInfo(m_Data.m_Inputs[2]);
+            m_BiasDecoder = MakeDecoder<float>(biasInfo);
+        }
+    }
+
     const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
     m_OutputShape = outputInfo.GetShape();
     m_OutputEncoder = MakeEncoder<float>(outputInfo);
@@ -52,6 +69,14 @@ void RefFullyConnectedWorkload::Execute() const
     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFullyConnectedWorkload_Execute");
 
     m_InputDecoder->Reset(m_Data.m_Inputs[0]->Map());
+    if (!m_Data.m_Parameters.m_ConstantWeights)
+    {
+        m_WeightDecoder->Reset(m_Data.m_Inputs[1]->Map());
+        if (m_Data.m_Parameters.m_BiasEnabled)
+        {
+            m_BiasDecoder->Reset(m_Data.m_Inputs[2]->Map());
+        }
+    }
     m_OutputEncoder->Reset(m_Data.m_Outputs[0]->Map());
 
     FullyConnected(m_InputShape,