commit bcd860a30eba22bb2ba0943ad705734ce0ec5b23
author Keith Davis <keith.davis@arm.com> Thu Aug 05 14:20:33 2021 +0100
committer Matthew Sloyan <matthew.sloyan@arm.com> Tue Aug 10 13:51:31 2021 +0000
tree a54dc121df65036f1604389684c76cdd2c988a4a
parent 2d0679f33f75c43e7169fe0f0ee2d15d0620e091

IVGCVSW-6249 Add ProfilingDetails Macros to all workloads in CL

Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I92dd410da7ad633a46d025fdc2b26093041c439b

src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp

diff --git a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
index 361d6f8..8367d7e 100644
--- a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
+++ b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
@@ -22,21 +22,21 @@
                                                  const TensorInfo& var,
                                                  const TensorInfo& beta,
                                                  const TensorInfo& gamma,
-                                                 const BatchNormalizationDescriptor& desc,
+                                                 const BatchNormalizationDescriptor& descriptor,
                                                  const ActivationDescriptor* activationDescriptor)
 {
     const arm_compute::TensorInfo aclInputInfo =
-          armcomputetensorutils::BuildArmComputeTensorInfo(input, desc.m_DataLayout);
+        armcomputetensorutils::BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
     const arm_compute::TensorInfo aclOutputInfo =
-          armcomputetensorutils::BuildArmComputeTensorInfo(output, desc.m_DataLayout);
+        armcomputetensorutils::BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
     const arm_compute::TensorInfo aclMeanInfo =
-          armcomputetensorutils::BuildArmComputeTensorInfo(mean, desc.m_DataLayout);
+        armcomputetensorutils::BuildArmComputeTensorInfo(mean, descriptor.m_DataLayout);
     const arm_compute::TensorInfo aclVarInfo =
-          armcomputetensorutils::BuildArmComputeTensorInfo(var, desc.m_DataLayout);
+        armcomputetensorutils::BuildArmComputeTensorInfo(var, descriptor.m_DataLayout);
     const arm_compute::TensorInfo aclBetaInfo =
-          armcomputetensorutils::BuildArmComputeTensorInfo(beta, desc.m_DataLayout);
+        armcomputetensorutils::BuildArmComputeTensorInfo(beta, descriptor.m_DataLayout);
     const arm_compute::TensorInfo aclGammaInfo =
-          armcomputetensorutils::BuildArmComputeTensorInfo(gamma, desc.m_DataLayout);
+        armcomputetensorutils::BuildArmComputeTensorInfo(gamma, descriptor.m_DataLayout);
 
     const arm_compute::ActivationLayerInfo activationInfo = ConvertActivationDescriptorToAclActivationLayerInfo(
             activationDescriptor);
@@ -47,7 +47,7 @@
                                                             &aclVarInfo,
                                                             &aclBetaInfo,
                                                             &aclGammaInfo,
-                                                            desc.m_Eps,
+                                                            descriptor.m_Eps,
                                                             activationInfo);
 }
 
@@ -57,6 +57,12 @@
     const arm_compute::CLCompileContext& clCompileContext)
     : FloatWorkload<BatchNormalizationQueueDescriptor>(descriptor, info)
 {
+    // Report Profiling Details
+    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("ClBatchNormalizationWorkload_Construct",
+                                         descriptor.m_Parameters,
+                                         info,
+                                         this->GetGuid());
+
     m_Mean = std::make_unique<arm_compute::CLTensor>();
     BuildArmComputeTensor(*m_Mean, m_Data.m_Mean->GetTensorInfo());
 
@@ -103,7 +109,7 @@
 
 void ClBatchNormalizationFloatWorkload::Execute() const
 {
-    ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchNormalizationFloatWorkload_Execute");
+    ARMNN_SCOPED_PROFILING_EVENT_CL_GUID("ClBatchNormalizationFloatWorkload_Execute", this->GetGuid());
     RunClFunction(m_Layer, CHECK_LOCATION());
 }