commit a3f4fbaf9ce6e30b3d1337bdfbb47b7301f97d1d
author Cathal Corbett <cathal.corbett@arm.com> Mon Mar 21 09:27:08 2022 +0000
committer Cathal Corbett <cathal.corbett@arm.com> Fri Apr 01 12:36:11 2022 +0100
tree ce8d29eefd17a49fe431eba26e75d23dbde5aa81
parent ebbf1d4853afd2f96bca83bfb4c225a78f94ea93

IVGCVSW-6732 Tests surrounded in '#if defined(ARMNNREF_ENABLED)' in android-nn-driver do not execute.

  * Change to src/backends/cl/workloads/ClLstmFloatWorkload.cpp fix LstmTests_GpuAcc tests.
  * Change to src/backends/cl/workloads/ClConvertFp16ToFp32Workload.hpp & ClConvertFp32ToFp16Workload.hpp
    fix MeanTests_GpuAcc and Convolution2DTests_1.1 tests.
  * Added UnitTests to src/backends/cl/test/ClImportTensorHandleTests.cpp to test import on Convert Layers.

!android-nn-driver:7264

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I0c46dc4b9c54eca8771ab12ed0302b6224606957

src/armnn/Network.cpp

diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp
index 339da0d..a365550 100644
--- a/src/armnn/Network.cpp
+++ b/src/armnn/Network.cpp
@@ -1658,7 +1658,7 @@
     return result;
 }
 
-IOptimizedNetworkPtr Optimize(const INetwork& inNetwork,
+IOptimizedNetworkPtr Optimize(const Graph& inGraph,
                               const std::vector<BackendId>& backendPreferences,
                               const IDeviceSpec& deviceSpec,
                               const OptimizerOptions& options,
@@ -1667,7 +1667,7 @@
     ARMNN_LOG(debug) << options.ToString();
 
     // Enable profiling
-    auto profiler = inNetwork.pNetworkImpl->GetGraph().GetProfiler();
+    auto profiler = inGraph.GetProfiler();
     ProfilerManager::GetInstance().RegisterProfiler(profiler.get());
     profiler->EnableProfiling(options.m_ProfilingEnabled);
 
@@ -1683,9 +1683,9 @@
     }
 
     // Ensure TensorInfo is set on all output slots of ConstantLayers in the graph
-    inNetwork.pNetworkImpl->GetGraph().VerifyConstantLayerSetTensorInfo();
+    inGraph.VerifyConstantLayerSetTensorInfo();
 
-    std::unique_ptr<Graph> graph = std::make_unique<Graph>(inNetwork.pNetworkImpl->GetGraph());
+    std::unique_ptr<Graph> graph = std::make_unique<Graph>(inGraph);
 
     auto optNet = IOptimizedNetworkPtr(new IOptimizedNetwork(std::move(graph), options.m_ModelOptions),
                                        &IOptimizedNetwork::Destroy);
@@ -1827,6 +1827,20 @@
     }
     return optNet;
 }
+
+IOptimizedNetworkPtr Optimize(const INetwork& inNetwork,
+                              const std::vector<BackendId>& backendPreferences,
+                              const IDeviceSpec& deviceSpec,
+                              const OptimizerOptions& options,
+                              Optional<std::vector<std::string>&> messages)
+{
+    return Optimize(inNetwork.pNetworkImpl->GetGraph(),
+                    backendPreferences,
+                    deviceSpec,
+                    options,
+                    messages);
+}
+
 bool NetworkImpl::GetShapeInferenceMethod()
 {
     if (m_NetworkOptions.size() > 0 && m_NetworkOptions[0].GetBackendId().Get() == "ShapeInferenceMethod")
@@ -2000,6 +2014,16 @@
     return layer;
 }
 
+IConnectableLayer* NetworkImpl::AddConvertFp16ToFp32Layer(const char* name)
+{
+    return m_Graph->AddLayer<ConvertFp16ToFp32Layer>(name);
+}
+
+IConnectableLayer* NetworkImpl::AddConvertFp32ToFp16Layer(const char* name)
+{
+    return m_Graph->AddLayer<ConvertFp32ToFp16Layer>(name);
+}
+
 IConnectableLayer* NetworkImpl::AddConvolution2dLayer(const Convolution2dDescriptor& convolution2dDescriptor,
                                                   const ConstTensor& weights,
                                                   const Optional<ConstTensor>& biases,