1 files changed, 76 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefConvolution3dWorkload.cpp b/src/backends/reference/workloads/RefConvolution3dWorkload.cpp
new file mode 100644
index 0000000000..ea425daec9
--- /dev/null
+++ b/src/backends/reference/workloads/RefConvolution3dWorkload.cpp
@@ -0,0 +1,76 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefConvolution3dWorkload.hpp"
+
+#include "Conv3dImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+RefConvolution3dWorkload::RefConvolution3dWorkload(
+    const Convolution3dQueueDescriptor& descriptor, const WorkloadInfo& info)
+    : BaseWorkload<Convolution3dQueueDescriptor>(descriptor, info)
+{
+    WorkloadInfo detailsInfo;
+    detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos;
+    detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos;
+    detailsInfo.m_WeightsTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Weight->GetTensorInfo());
+    if (descriptor.m_Parameters.m_BiasEnabled)
+    {
+        detailsInfo.m_BiasTensorInfo = armnn::Optional<armnn::TensorInfo>(descriptor.m_Bias->GetTensorInfo());
+    }
+
+    // Report Profiling Details
+    ARMNN_REPORT_PROFILING_WORKLOAD_DESC("RefConvolution3dWorkload_Construct",
+                                         descriptor.m_Parameters,
+                                         detailsInfo,
+                                         this->GetGuid());
+
+    m_Weight = std::make_unique<ScopedTensorHandle>(*( descriptor.m_Weight ));
+    const TensorInfo& rFilterInfo = m_Weight->GetTensorInfo();
+
+    m_FilterShape = rFilterInfo.GetShape();
+    m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(true));
+
+    if ( descriptor.m_Parameters.m_BiasEnabled )
+    {
+        m_Bias = std::make_unique<ScopedTensorHandle>(*( descriptor.m_Bias ));
+        const TensorInfo& biasInfo = m_Bias->GetTensorInfo();
+        m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(true));
+    }
+}
+
+void RefConvolution3dWorkload::Execute() const
+{
+    Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+}
+
+void RefConvolution3dWorkload::ExecuteAsync(WorkingMemDescriptor& workingMemDescriptor)
+{
+    Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
+}
+
+void RefConvolution3dWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_GUID(Compute::CpuRef, "RefConvolution3dWorkload_Execute", this->GetGuid());
+
+    std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]), inputs[0]->Map());
+    std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]), outputs[0]->Map());
+
+    const TensorShape& inputShape = GetTensorInfo(inputs[0]).GetShape();
+    const TensorShape& outputShape = GetTensorInfo(outputs[0]).GetShape();
+
+    Convolve3d(inputShape, *inputDecoder, outputShape, *outputEncoder, m_FilterShape,
+               *m_FilterDecoder, m_Data.m_Parameters.m_BiasEnabled, m_BiasDecoder.get(),
+               m_Data.m_Parameters.m_DataLayout,
+               m_Data.m_Parameters.m_PadTop, m_Data.m_Parameters.m_PadLeft, m_Data.m_Parameters.m_PadFront,
+               m_Data.m_Parameters.m_StrideX, m_Data.m_Parameters.m_StrideY, m_Data.m_Parameters.m_StrideZ,
+               m_Data.m_Parameters.m_DilationX, m_Data.m_Parameters.m_DilationY, m_Data.m_Parameters.m_DilationZ);
+}
+
+} //namespace armnn