13 #include <arm_compute/runtime/NEON/functions/NENormalizationLayer.h> 23 bool IsNeonNormalizationDescriptorSupported(
const NormalizationDescriptor& parameters,
24 Optional<std::string&> reasonIfUnsupported)
28 if (reasonIfUnsupported)
30 reasonIfUnsupported.value() =
"Unsupported normalisation method type, only LocalBrightness is supported";
34 if (parameters.m_NormSize % 2 == 0)
36 if (reasonIfUnsupported)
38 reasonIfUnsupported.value() =
"Normalization size must be an odd number.";
52 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
53 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
55 arm_compute::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(descriptor);
57 return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo);
62 std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
66 std::string reasonIfUnsupported;
81 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
82 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
84 input.info()->set_data_layout(aclDataLayout);
85 output.info()->set_data_layout(aclDataLayout);
87 const arm_compute::NormType normType =
89 arm_compute::NormalizationLayerInfo normalizationInfo(normType,
90 m_Data.m_Parameters.m_NormSize,
91 m_Data.m_Parameters.m_Alpha,
92 m_Data.m_Parameters.m_Beta,
95 auto layer = std::make_unique<arm_compute::NENormalizationLayer>(memoryManager);
96 layer->configure(&input, &output, normalizationInfo);
97 m_NormalizationLayer.reset(layer.release());
103 m_NormalizationLayer->run();
const QueueDescriptor m_Data
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
arm_compute::NormType ConvertNormalizationAlgorithmChannelToAclNormType(NormalizationAlgorithmChannel channelType)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Copyright (c) 2020 ARM Limited.
virtual void Execute() const override
std::vector< TensorInfo > m_InputTensorInfos
std::vector< TensorInfo > m_OutputTensorInfos
arm_compute::Status NeonNormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const NormalizationDescriptor &descriptor)
std::vector< ITensorHandle * > m_Outputs
NeonNormalizationFloatWorkload(const NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
Krichevsky 2012: Local Brightness Normalization.
A NormalizationDescriptor for the NormalizationLayer.