aboutsummaryrefslogtreecommitdiff
path: root/src/backends/neon/workloads/NeonMeanWorkload.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/backends/neon/workloads/NeonMeanWorkload.cpp')
-rw-r--r--src/backends/neon/workloads/NeonMeanWorkload.cpp14
1 files changed, 10 insertions, 4 deletions
diff --git a/src/backends/neon/workloads/NeonMeanWorkload.cpp b/src/backends/neon/workloads/NeonMeanWorkload.cpp
index bb0870d9ef..5d8d1c43a1 100644
--- a/src/backends/neon/workloads/NeonMeanWorkload.cpp
+++ b/src/backends/neon/workloads/NeonMeanWorkload.cpp
@@ -17,21 +17,27 @@ using namespace armcomputetensorutils;
arm_compute::Status NeonMeanWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
- const MeanDescriptor& desc)
+ const MeanDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(),
input.GetNumDimensions(),
- desc.m_Axis);
+ descriptor.m_Axis);
- return arm_compute::NEReduceMean::validate(&aclInputInfo, coords, desc.m_KeepDims, &aclOutputInfo);
+ return arm_compute::NEReduceMean::validate(&aclInputInfo, coords, descriptor.m_KeepDims, &aclOutputInfo);
}
NeonMeanWorkload::NeonMeanWorkload(const MeanQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<MeanQueueDescriptor>(descriptor, info)
{
+ // Report Profiling Details
+ ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonMeanWorkload_Construct",
+ descriptor.m_Parameters,
+ info,
+ this->GetGuid());
+
m_Data.ValidateInputsOutputs("NeonMeanWorkload", 1, 1);
arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
@@ -46,7 +52,7 @@ NeonMeanWorkload::NeonMeanWorkload(const MeanQueueDescriptor& descriptor, const
void NeonMeanWorkload::Execute() const
{
- ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMeanWorkload_Execute");
+ ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonMeanWorkload_Execute", this->GetGuid());
m_Layer.run();
}