MLECO-1870: Cherry pick profiling changes from dev to open source repo

* Documentation update

Change-Id: If85e7ebc44498840b291c408f14e66a5a5faa424
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>

2 files changed, 7 insertions, 2 deletions

diff --git a/source/use_case/ad/src/MainLoop.cc b/source/use_case/ad/src/MainLoop.cc
index 5455b43..6a7cbe0 100644
--- a/source/use_case/ad/src/MainLoop.cc
+++ b/source/use_case/ad/src/MainLoop.cc
@@ -56,6 +56,8 @@ void main_loop(hal_platform& platform)
     /* Instantiate application context. */
     arm::app::ApplicationContext caseContext;
 
+    arm::app::Profiler profiler{&platform, "ad"};
+    caseContext.Set<arm::app::Profiler&>("profiler", profiler);
     caseContext.Set<hal_platform&>("platform", platform);
     caseContext.Set<arm::app::Model&>("model", model);
     caseContext.Set<uint32_t>("clipIndex", 0);
diff --git a/source/use_case/ad/src/UseCaseHandler.cc b/source/use_case/ad/src/UseCaseHandler.cc
index c18a0a4..1c15595 100644
--- a/source/use_case/ad/src/UseCaseHandler.cc
+++ b/source/use_case/ad/src/UseCaseHandler.cc
@@ -76,6 +76,7 @@ namespace app {
     bool ClassifyVibrationHandler(ApplicationContext& ctx, uint32_t clipIndex, bool runAll)
     {
         auto& platform = ctx.Get<hal_platform&>("platform");
+        auto& profiler = ctx.Get<Profiler&>("profiler");
 
         constexpr uint32_t dataPsnTxtInfStartX = 20;
         constexpr uint32_t dataPsnTxtInfStartY = 40;
@@ -98,7 +99,7 @@ namespace app {
         const auto frameLength = ctx.Get<int>("frameLength");
         const auto frameStride = ctx.Get<int>("frameStride");
         const auto scoreThreshold = ctx.Get<float>("scoreThreshold");
-        const float trainingMean = ctx.Get<float>("trainingMean");
+        const auto trainingMean = ctx.Get<float>("trainingMean");
         auto startClipIdx = ctx.Get<uint32_t>("clipIndex");
 
         TfLiteTensor* outputTensor = model.GetOutputTensor(0);
@@ -193,7 +194,7 @@ namespace app {
                      audioDataSlider.TotalStrides() + 1);
 
                 /* Run inference over this audio clip sliding window */
-                arm::app::RunInference(platform, model);
+                arm::app::RunInference(model, profiler);
 
                 /* Use the negative softmax score of the corresponding index as the outlier score */
                 std::vector<float> dequantOutput = Dequantize<int8_t>(outputTensor);
@@ -219,6 +220,8 @@ namespace app {
                 return false;
             }
 
+            profiler.PrintProfilingResult();
+
             _IncrementAppCtxClipIdx(ctx);
 
         } while (runAll && ctx.Get<uint32_t>("clipIndex") != startClipIdx);