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-rw-r--r--src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp18
1 files changed, 6 insertions, 12 deletions
diff --git a/src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp b/src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp
index 4d2bb05daa..1a721fe389 100644
--- a/src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp
+++ b/src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp
@@ -12,23 +12,17 @@
namespace armnn
{
-template<armnn::DataType DataType>
-void RefSpaceToBatchNdWorkload<DataType>::Execute() const
+void RefSpaceToBatchNdWorkload::Execute() const
{
- using T = ResolveType<DataType>;
-
- ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, GetName() + "_Execute");
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefSpaceToBatchNdWorkload_Execute");
const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
- const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+ std::unique_ptr<Decoder<float>> decoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
- const T* inputData = GetInputTensorData<T>(0, m_Data);
- T* outputData = GetOutputTensorData<T>(0, m_Data);
+ const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+ std::unique_ptr<Encoder<float>> encoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
- SpaceToBatchNd(inputInfo, outputInfo, m_Data.m_Parameters, inputData, outputData);
+ SpaceToBatchNd(inputInfo, outputInfo, m_Data.m_Parameters, *decoder, *encoder);
}
-template class RefSpaceToBatchNdWorkload<DataType::Float32>;
-template class RefSpaceToBatchNdWorkload<DataType::QuantisedAsymm8>;
-
} //namespace armnn