17 const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0);
18 const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1);
19 const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
21 return arm_compute::NEElementwiseMin::validate(&aclInput0,
32 arm_compute::ITensor& input0 = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[0])->GetTensor();
33 arm_compute::ITensor& input1 = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Inputs[1])->GetTensor();
34 arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(
m_Data.
m_Outputs[0])->GetTensor();
36 m_MinLayer.configure(&input0, &input1, &output);
const MinimumQueueDescriptor m_Data
#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)
arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output)
Validate function for validating the inputs and output.
NeonMinimumWorkload(const MinimumQueueDescriptor &descriptor, const WorkloadInfo &info)
Create a NeonMinimumWorkload.
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
virtual void Execute() const override
Execute the Minimum operation.
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs