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/reference/workloads/RefConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefConvolution2dWorkload.cpp
index 355d526..1adeb6d 100644
--- a/src/backends/reference/workloads/RefConvolution2dWorkload.cpp
+++ b/src/backends/reference/workloads/RefConvolution2dWorkload.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017,2019,2021-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -43,7 +43,7 @@
void RefConvolution2dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
- ARMNN_SCOPED_PROFILING_EVENT_GUID(Compute::CpuRef, "RefConvolution2dWorkload_Execute", this->GetGuid());
+ ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefConvolution2dWorkload_Execute");
std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map());
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map());