commit 9f6862de94e3d15ea5207a5747012f6c7eead358
author Kevin May <kevin.may@arm.com> Fri Oct 22 15:42:28 2021 +0100
committer Kevin May <kevin.may@arm.com> Mon Nov 01 09:46:40 2021 +0000
tree 4b45cab325cd7eb36fd04a1cba7d0e7a3ec92dbb
parent b1c62f11881e0d528bea5b3664a8f36e4c03b508

IVGCVSW-6440 Add profiling around CL workload configure calls

Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: I7626d5bd82e832d5be6913719a34d76fbd1dbed8

src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp

diff --git a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
index 8367d7e..fba1679 100644
--- a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
+++ b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
@@ -86,15 +86,18 @@
 
     const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
 
-    m_Layer.configure(clCompileContext,
-                      &input,
-                      &output,
-                      m_Mean.get(),
-                      m_Variance.get(),
-                      m_Beta.get(),
-                      m_Gamma.get(),
-                      m_Data.m_Parameters.m_Eps,
-                      activationInfo);
+    {
+        ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClBatchNormalizationFloatWorkload_configure");
+        m_Layer.configure(clCompileContext,
+                          &input,
+                          &output,
+                          m_Mean.get(),
+                          m_Variance.get(),
+                          m_Beta.get(),
+                          m_Gamma.get(),
+                          m_Data.m_Parameters.m_Eps,
+                          activationInfo);
+    }
 
     InitializeArmComputeClTensorData(*m_Mean, m_Data.m_Mean);
     InitializeArmComputeClTensorData(*m_Variance, m_Data.m_Variance);