src/armnn/backends/RefWorkloads/RefBatchNormalizationUint8Workload.cpp

   1 //
   2 // Copyright © 2017 Arm Ltd. All rights reserved.
   3 // See LICENSE file in the project root for full license information.
   4 //
   5
   6 #include "RefBatchNormalizationUint8Workload.hpp"
   7
   8 #include "BatchNormImpl.hpp"
   9 #include "RefWorkloadUtils.hpp"
  10
  11 #include "Profiling.hpp"
  12
  13 #include <vector>
  14
  15 namespace armnn
  16 {
  17 RefBatchNormalizationUint8Workload::RefBatchNormalizationUint8Workload(
  18     const BatchNormalizationQueueDescriptor& descriptor, const WorkloadInfo& info)
  19        : Uint8Workload<BatchNormalizationQueueDescriptor>(descriptor, info),
  20          m_Mean(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Mean))),
  21          m_Variance(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Variance))),
  22          m_Beta(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Beta))),
  23          m_Gamma(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Gamma))) {}
  24
  25 void RefBatchNormalizationUint8Workload::Execute() const
  26 {
  27     ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchNormalizationUint8Workload_Execute");
  28
  29     const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
  30     const TensorInfo& varInfo = GetTensorInfo(m_Variance.get());
  31     const TensorInfo& meanInfo = GetTensorInfo(m_Mean.get());
  32     const TensorInfo& gammaInfo = GetTensorInfo(m_Gamma.get());
  33     const TensorInfo& betaInfo = GetTensorInfo(m_Beta.get());
  34     const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
  35
  36     auto input = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0);
  37     auto var = Dequantize(m_Variance->GetConstTensor<uint8_t>(), varInfo);
  38     auto mean = Dequantize(m_Mean->GetConstTensor<uint8_t>(), meanInfo);
  39     auto gamma = Dequantize(m_Gamma->GetConstTensor<uint8_t>(), gammaInfo);
  40     auto beta = Dequantize(m_Beta->GetConstTensor<uint8_t>(), betaInfo);
  41
  42     std::vector<float> results(outputInfo.GetNumElements());
  43     BatchNormImpl(m_Data, var.data(), mean.data(), gamma.data(), beta.data(), results.data(), input.data());
  44     Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo);
  45 }
  46
  47 } //namespace armnn