12 #include <arm_compute/runtime/NEON/functions/NEArithmeticSubtraction.h> 21 const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
22 const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
23 const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
25 return arm_compute::NEArithmeticSubtraction::validate(&aclInput0,
28 arm_compute::ConvertPolicy::SATURATE);
37 arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
38 arm_compute::ITensor& input2 = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[1])->GetTensor();
39 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
41 auto layer = std::make_unique<arm_compute::NEArithmeticSubtraction>();
42 layer->configure(&input1, &input2, &output, arm_compute::ConvertPolicy::SATURATE);
43 m_SubLayer.reset(layer.release());
const SubtractionQueueDescriptor 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.
virtual void Execute() const override
std::vector< ITensorHandle * > m_Outputs
NeonSubtractionWorkload(const SubtractionQueueDescriptor &descriptor, const WorkloadInfo &info)
arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs