diff options
Diffstat (limited to 'src/backends/reference/workloads/RefConvertFp16ToFp32Workload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefConvertFp16ToFp32Workload.cpp | 17 |
1 files changed, 14 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefConvertFp16ToFp32Workload.cpp b/src/backends/reference/workloads/RefConvertFp16ToFp32Workload.cpp index ef813eb69b..347132d1f6 100644 --- a/src/backends/reference/workloads/RefConvertFp16ToFp32Workload.cpp +++ b/src/backends/reference/workloads/RefConvertFp16ToFp32Workload.cpp @@ -15,12 +15,23 @@ namespace armnn void RefConvertFp16ToFp32Workload::Execute() const { + Execute(m_Data.m_Inputs, m_Data.m_Outputs); +} + +void RefConvertFp16ToFp32Workload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) +{ + Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs); +} + +void RefConvertFp16ToFp32Workload::Execute(std::vector<ITensorHandle*> inputs, + std::vector<ITensorHandle*> outputs) const +{ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvertFp16ToFp32Workload_Execute"); - const Half* const input = GetInputTensorDataHalf(0, m_Data); - float* const output = GetOutputTensorDataFloat(0, m_Data); + const Half* const input = reinterpret_cast<const Half*>(inputs[0]->Map()); + float* const output = reinterpret_cast<float*>(outputs[0]->Map()); - unsigned int numElements = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements(); + unsigned int numElements = GetTensorInfo(inputs[0]).GetNumElements(); armnnUtils::FloatingPointConverter::ConvertFloat16To32(input, numElements, output); } |