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authornikraj01 <nikhil.raj@arm.com>2019-05-30 17:29:32 +0100
committerMatteo Martincigh <matteo.martincigh@arm.com>2019-05-30 19:29:20 +0000
commit22f0f2bc3d8d8e460200ae353dcea42157d9ad39 (patch)
tree153a081f76b1a0b64bf2cabbaeb483b54c124b71 /src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp
parent25339c31a829111fce691311cb84100e8591f5da (diff)
downloadarmnn-22f0f2bc3d8d8e460200ae353dcea42157d9ad39.tar.gz
IVGCVSW-3194 Refactor SpaceToBatchNd workload
Change-Id: Iac2ded9b20c37299e3de51465dcbfb5a7bfc52d5 Signed-off-by: nikraj01 <nikhil.raj@arm.com>
Diffstat (limited to 'src/backends/reference/workloads/RefSpaceToBatchNdWorkload.cpp')
-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