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, 1 insertions, 10 deletions

diff --git a/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp
index 5555772c5a..f7519a73bc 100644
--- a/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/FullyConnectedTestImpl.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -44,20 +44,11 @@ LayerTestResult<T, 2> SimpleFullyConnectedTestImpl(
 
     armnn::FullyConnectedQueueDescriptor data;
     armnn::WorkloadInfo info;
-    armnn::ScopedTensorHandle weightsTensor(weightsTensorInfo);
-    armnn::ScopedTensorHandle biasTensor(biasesTensorInfo);
-
-    AllocateAndCopyDataToITensorHandle(&weightsTensor, weights.data());
-    AllocateAndCopyDataToITensorHandle(&biasTensor, bias.data());
 
     AddInputToWorkload(data, info, inputTensorInfo, input0Handle.get());
     AddInputToWorkload(data, info, weightsTensorInfo, input1Handle.get());
     AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
 
-    // Need to set as layer members will be null when creating the workload because the optimization hasn't been run.
-    data.m_Weight = &weightsTensor;
-    data.m_Bias = &biasTensor;
-
     data.m_Parameters.m_BiasEnabled = biasEnabled;
     data.m_Parameters.m_TransposeWeightMatrix = transposeWeights;
     data.m_Parameters.m_ConstantWeights = constantWeights;