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/ClPreluWorkload.cpp b/src/backends/cl/workloads/ClPreluWorkload.cpp
index b2b8eeb..9c678da 100644
--- a/src/backends/cl/workloads/ClPreluWorkload.cpp
+++ b/src/backends/cl/workloads/ClPreluWorkload.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -38,14 +38,14 @@
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
{
- ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "ClPreluWorkload_configure");
+ ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClPreluWorkload_configure");
m_PreluLayer.configure(clCompileContext, &input, &alpha, &output);
}
}
void ClPreluWorkload::Execute() const
{
- ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClPreluWorkload_Execute", this->GetGuid());
+ ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClPreluWorkload_Execute");
RunClFunction(m_PreluLayer, CHECK_LOCATION());
}