ArmNN
 21.02
RefInstanceNormalizationWorkload.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "InstanceNorm.hpp"
9 #include "RefWorkloadUtils.hpp"
10 
11 #include "Profiling.hpp"
12 
13 namespace armnn
14 {
15 
17  const InstanceNormalizationQueueDescriptor& descriptor,
18  const WorkloadInfo& info)
20 
22 {
23  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefInstanceNormalizationWorkload_Execute");
24 
25  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(m_Data.m_Inputs[0]),
26  m_Data.m_Inputs[0]->Map());
27  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(m_Data.m_Outputs[0]),
28  m_Data.m_Outputs[0]->Map());
29 
30  InstanceNorm(m_Data, *inputDecoder, *outputEncoder);
31 }
32 
33 } // namespace armnn
CPU Execution: Reference C++ kernels.
const InstanceNormalizationQueueDescriptor m_Data
Definition: Workload.hpp:46
Copyright (c) 2021 ARM Limited and Contributors.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
std::vector< ITensorHandle * > m_Outputs
RefInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info)
void InstanceNorm(const InstanceNormalizationQueueDescriptor &data, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers