13 using namespace armcomputetensorutils;
15 static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
26 m_Layer.configure(&input, &output, g_AclConvertPolicy, 0);
39 return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR,
"Input should be Float32");
43 return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR,
"Output should be Float16");
46 const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
47 const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
50 &aclInputInfo, &aclOutputInfo, g_AclConvertPolicy, 0);
arm_compute::Status ClConvertFp32ToFp16WorkloadValidate(const TensorInfo &input, const TensorInfo &output)
#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)
void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)
const QueueDescriptor m_Data
void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const
Copyright (c) 2020 ARM Limited.
ClConvertFp32ToFp16Workload(const ConvertFp32ToFp16QueueDescriptor &descriptor, const WorkloadInfo &info)
DataType GetDataType() const
virtual void Execute() const override
std::vector< ITensorHandle * > m_Outputs
Contains information about inputs and outputs to a layer.
std::vector< ITensorHandle * > m_Inputs