12 #include <arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h> 16 using namespace armcomputetensorutils;
22 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.
m_DataLayout);
23 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.
m_DataLayout);
27 return arm_compute::NEL2NormalizeLayer::validate(&aclInput, &aclOutput, axis, descriptor.
m_Eps);
31 const WorkloadInfo&
info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
36 arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
37 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
40 input.info()->set_data_layout(aclDataLayout);
41 output.info()->set_data_layout(aclDataLayout);
45 auto layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager);
46 layer->configure(&input, &output, axis,
m_Data.m_Parameters.m_Eps);
47 m_Layer.reset(layer.release());
float m_Eps
Used to avoid dividing by zero.
const QueueDescriptor m_Data
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const L2NormalizationDescriptor &descriptor)
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
A L2NormalizationDescriptor for the L2NormalizationLayer.
NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
virtual void Execute() const override