12 #include <arm_compute/runtime/NEON/functions/NENormalizationLayer.h> 22 bool IsNeonNormalizationDescriptorSupported(
const NormalizationDescriptor& parameters,
23 Optional<std::string&> reasonIfUnsupported)
27 if (reasonIfUnsupported)
29 reasonIfUnsupported.value() =
"Unsupported normalisation method type, only LocalBrightness is supported";
33 if (parameters.m_NormSize % 2 == 0)
35 if (reasonIfUnsupported)
37 reasonIfUnsupported.value() =
"Normalization size must be an odd number.";
51 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
52 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
54 arm_compute::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(descriptor);
56 return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo);
61 std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
65 std::string reasonIfUnsupported;
80 arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
81 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
83 input.info()->set_data_layout(aclDataLayout);
84 output.info()->set_data_layout(aclDataLayout);
86 const arm_compute::NormType normType =
88 arm_compute::NormalizationLayerInfo normalizationInfo(normType,
89 m_Data.m_Parameters.m_NormSize,
90 m_Data.m_Parameters.m_Alpha,
91 m_Data.m_Parameters.m_Beta,
94 auto layer = std::make_unique<arm_compute::NENormalizationLayer>(memoryManager);
95 layer->configure(&input, &output, normalizationInfo);
96 m_NormalizationLayer.reset(layer.release());
102 m_NormalizationLayer->run();
A NormalizationDescriptor for the NormalizationLayer.
NeonNormalizationFloatWorkload(const NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
virtual void Execute() const override
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
std::vector< TensorInfo > m_OutputTensorInfos
arm_compute::NormType ConvertNormalizationAlgorithmChannelToAclNormType(NormalizationAlgorithmChannel channelType)
Krichevsky 2012: Local Brightness Normalization.
arm_compute::Status NeonNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor)
const QueueDescriptor m_Data
std::vector< TensorInfo > m_InputTensorInfos
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs