11 #include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h> 17 const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
23 arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
24 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
26 auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager);
28 layer->configure(&input, &output,
m_Data.m_Parameters.m_Beta, aclAxis);
29 m_SoftmaxLayer.reset(layer.release());
35 m_SoftmaxLayer->run();
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
const QueueDescriptor m_Data
std::vector< TensorInfo > m_InputTensorInfos
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
unsigned int ComputeSoftmaxAclAxis(const SoftmaxDescriptor &softmaxDesc, const armnn::TensorInfo &tensor)
virtual void Execute() const override
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager)