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
diff --git a/src/backends/cl/workloads/ClConvolution2dWorkload.cpp b/src/backends/cl/workloads/ClConvolution2dWorkload.cpp
index 00e39bd..7c3b102 100644
--- a/src/backends/cl/workloads/ClConvolution2dWorkload.cpp
+++ b/src/backends/cl/workloads/ClConvolution2dWorkload.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017, 2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -81,7 +81,7 @@
     : ClBaseWorkload<Convolution2dQueueDescriptor>(descriptor, info)
     , m_ConvolutionLayer(memoryManager)
 {
-    ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClConvolution2dWorkload");
+    ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClConvolution2dWorkload");
 
     const arm_compute::Size2D aclDilationInfo = BuildArmComputeSize2D(m_Data.m_Parameters.m_DilationX,
                                                                       m_Data.m_Parameters.m_DilationY);
@@ -118,7 +118,7 @@
     const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
 
     {
-        ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClConvolution2dWorkload_configure");
+        ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClConvolution2dWorkload_configure");
         m_ConvolutionLayer.configure(clCompileContext,
                                      m_InputProxy.get(),
                                      m_WeightsProxy.get(),
@@ -163,7 +163,7 @@
 
 void ClConvolution2dWorkload::Execute() const
 {
-    ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClConvolution2dWorkload_Execute", GetGuid());
+    ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClConvolution2dWorkload_Execute");
     RunClFunction(m_ConvolutionLayer, CHECK_LOCATION());
 }