commit 721e629fa07e65d6a53c093518021e71e48eeac2
author Keith Davis <keith.davis@arm.com> Tue May 17 10:06:53 2022 +0100
committer Keith Davis <keith.davis@arm.com> Mon May 23 09:59:34 2022 +0100
tree 1f3826741777e5d2cb28be964f46163f49abc271
parent 4a09159930f37dffa51c194ea8b565612bbe8431

IVGCVSW-6123 ConstTensorsAsInputs: Conv2d

  * Use new INetwork::AddConvolution2dLayer
    instead of deprecated version
  * Remove duplicated test in SerlializerTests
  * Fix some cosmetics

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I3407815bfdc1cdc01ca0a667b8e4d80d8621783f

src/backends/backendsCommon/test/OptimizedNetworkTests.cpp

diff --git a/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp b/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp
index 8e3b275..bcea061 100644
--- a/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp
+++ b/src/backends/backendsCommon/test/OptimizedNetworkTests.cpp
@@ -402,14 +402,16 @@
     armnn::INetworkPtr network = armnn::INetwork::Create();
     armnn::IConnectableLayer* const inputLayer  = network->AddInputLayer(0);
 
-    ARMNN_NO_DEPRECATE_WARN_BEGIN
-    armnn::IConnectableLayer* const convLayer   =
-            network->AddConvolution2dLayer(descriptor,
-                                           weights,
-                                           armnn::Optional<armnn::ConstTensor>(biases),
-                                           layerName.c_str());
-    ARMNN_NO_DEPRECATE_WARN_END
+    armnn::IConnectableLayer* const convLayer   = network->AddConvolution2dLayer(descriptor, layerName.c_str());
     armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0);
+    armnn::IConnectableLayer* weightsLayer = network->AddConstantLayer(weights);
+    armnn::IConnectableLayer* biasLayer = network->AddConstantLayer(biases);
+
+    weightsLayer->GetOutputSlot(0).SetTensorInfo(weightsInfo);
+    weightsLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(1u));
+
+    biasLayer->GetOutputSlot(0).SetTensorInfo(biasesInfo);
+    biasLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(2u));
 
     inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0));
     convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));