commit 7cbe78140a274cec783049051df7c7298b974f13
author Mike Kelly <mike.kelly@arm.com> Tue Jul 25 17:37:33 2023 +0100
committer mike.kelly <mike.kelly@arm.com> Mon Jul 31 15:34:06 2023 +0000
tree d39f19b35e120b59d9dbd7f0c7eb27ef97621ebe
parent 21e399974e3cdd8db00bd76af813aa0485395b60

MLCE-1092 Add Names to Workloads

 * Added names to Workloads.
    * Workloads will be given the name of the Layer that created them.
 * Added new profiling macros to CL Neon and Ref that add the
   workload name to the event label
 * Updated workloads to use new macros.
 * Added missing profiling to Rank Workloads.
 * Fixed issue where ClConvolution2dWorkload was being reported as
   Undefined rather than GpuAcc.

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I0a55eab6c2f455b73943aca8e99a247c3cb2a906

src/backends/cl/workloads/ClReduceWorkload.cpp

diff --git a/src/backends/cl/workloads/ClReduceWorkload.cpp b/src/backends/cl/workloads/ClReduceWorkload.cpp
index ace7693..b9056c1 100644
--- a/src/backends/cl/workloads/ClReduceWorkload.cpp
+++ b/src/backends/cl/workloads/ClReduceWorkload.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -61,7 +61,7 @@
                                                                           info.m_InputTensorInfos[0].GetNumDimensions(),
                                                                           m_Data.m_Parameters.m_vAxis);
     {
-        ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClReduceWorkload_configure");
+        ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClReduceWorkload_configure");
         m_Layer.configure(&input,
                           &output,
                           static_cast<unsigned int>(coords[0]),
@@ -72,7 +72,7 @@
 
 void ClReduceWorkload::Execute() const
 {
-    ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClReduceWorkload_Execute", this->GetGuid());
+    ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClReduceWorkload_Execute");
     m_Layer.run();
 }