| narpra01 | 1e4c31d | 2018-09-28 11:07:51 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "RefMeanFloat32Workload.hpp" |
| 7 | |
| 8 | #include "Mean.hpp" |
| 9 | #include "RefWorkloadUtils.hpp" |
| 10 | |
| 11 | #include "Profiling.hpp" |
| 12 | #include "vector" |
| 13 | |
| 14 | namespace armnn |
| 15 | { |
| 16 | |
| 17 | RefMeanFloat32Workload::RefMeanFloat32Workload(const MeanQueueDescriptor& descriptor, const WorkloadInfo& info) |
| 18 | :Float32Workload<MeanQueueDescriptor>(descriptor, info) {} |
| 19 | |
| 20 | |
| 21 | void RefMeanFloat32Workload::Execute() const |
| 22 | { |
| 23 | ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefMeanFloat32Workload_Execute"); |
| 24 | |
| 25 | const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]); |
| 26 | const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); |
| 27 | const float* inputData = GetInputTensorDataFloat(0, m_Data); |
| 28 | float* outputData = GetOutputTensorDataFloat(0, m_Data); |
| 29 | |
| 30 | Mean(inputInfo, outputInfo, m_Data.m_Parameters.m_Axis, inputData, outputData); |
| 31 | } |
| 32 | |
| 33 | } //namespace armnn |
| 34 | |
| 35 | |