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path: root/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp
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Diffstat (limited to 'src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp')
-rw-r--r--src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp17
1 files changed, 14 insertions, 3 deletions
diff --git a/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp b/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp
index c4b5416836..70e377d19b 100644
--- a/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp
+++ b/src/backends/reference/workloads/RefConvertBf16ToFp32Workload.cpp
@@ -15,12 +15,23 @@ namespace armnn
void RefConvertBf16ToFp32Workload::Execute() const
{
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefConvertBf16ToFp32Workload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
+{
+ Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefConvertBf16ToFp32Workload::Execute(std::vector<ITensorHandle*> inputs,
+ std::vector<ITensorHandle*> outputs) const
+{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvertBf16ToFp32Workload_Execute");
- const BFloat16* const input = GetInputTensorDataBFloat16(0, m_Data);
- float* const output = GetOutputTensorDataFloat(0, m_Data);
+ const BFloat16* const input = reinterpret_cast<const BFloat16*>(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::ConvertBFloat16ToFloat32(input, numElements, output);
}