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path: root/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
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Diffstat (limited to 'src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp')
-rw-r--r--src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp24
1 files changed, 15 insertions, 9 deletions
diff --git a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
index 361d6f87a5..8367d7e266 100644
--- a/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
+++ b/src/backends/cl/workloads/ClBatchNormalizationFloatWorkload.cpp
@@ -22,21 +22,21 @@ arm_compute::Status ClBatchNormalizationValidate(const TensorInfo& input,
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 @@ arm_compute::Status ClBatchNormalizationValidate(const TensorInfo& input,
&aclVarInfo,
&aclBetaInfo,
&aclGammaInfo,
- desc.m_Eps,
+ descriptor.m_Eps,
activationInfo);
}
@@ -57,6 +57,12 @@ ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload(
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 @@ ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload(
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());
}