commit 2d0679f33f75c43e7169fe0f0ee2d15d0620e091
author Keith Davis <keith.davis@arm.com> Thu Aug 05 11:35:00 2021 +0100
committer KeithARM <keith.davis@arm.com> Tue Aug 10 11:53:19 2021 +0000
tree 9f259a41e3208aa37a19330b63e0aabac607cacf
parent d218d9804723e78da9bbd36e6211b3310426852b

IVGCVSW-6249 Add ProfilingDetails Macros to all workloads in Neon

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I7be77712a9f790928219ce91222d46cc766ab9dd

src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp

diff --git a/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp b/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp
index 43c991c..b96b7d0 100644
--- a/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp
+++ b/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp
@@ -29,10 +29,16 @@
     return arm_compute::NESpaceToDepthLayer::validate(&aclInput, &aclOutput, blockSize);
 }
 
-NeonSpaceToDepthWorkload::NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& desc,
+NeonSpaceToDepthWorkload::NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& descriptor,
                                                    const WorkloadInfo& info)
-    : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info)
+    : BaseWorkload<SpaceToDepthQueueDescriptor>(descriptor, info)
 {
+    // Report Profiling Details
+    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonSpaceToDepthWorkload_Construct",
+                                         descriptor.m_Parameters,
+                                         info,
+                                         this->GetGuid());
+
     m_Data.ValidateInputsOutputs("NeonSpaceToDepthWorkload", 1, 1);
 
     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
@@ -40,7 +46,7 @@
     arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
     input.info()->set_data_layout(aclDataLayout);
 
-    int32_t blockSize = armnn::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize);
+    int32_t blockSize = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockSize);
 
     arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
     output.info()->set_data_layout(aclDataLayout);
@@ -54,7 +60,7 @@
 {
     if (m_Layer)
     {
-        ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToDepthWorkload_Execute");
+        ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonSpaceToDepthWorkload_Execute", this->GetGuid());
         m_Layer->run();
     }
 }