14 #include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h> 23 const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
24 const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
26 int aclAxis = ComputeSoftmaxAclAxis<int>(descriptor, input);
27 return arm_compute::NESoftmaxLayer::validate(&aclInputInfo, &aclOutputInfo, descriptor.m_Beta, aclAxis);
31 const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
37 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
38 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
40 auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager);
43 m_SoftmaxLayer.reset(layer.release());
49 m_SoftmaxLayer->run();
virtual void Execute() const override
const SoftmaxQueueDescriptor m_Data
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
float m_Beta
Exponentiation value.
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
LayerDescriptor m_Parameters
std::vector< TensorInfo > m_InputTensorInfos
NeonSoftmaxWorkload(const SoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)
std::vector< ITensorHandle * > m_Outputs
arm_compute::Status NeonSoftmaxWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const SoftmaxDescriptor &descriptor)
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs
A SoftmaxDescriptor for the SoftmaxLayer.