1 files changed, 38 insertions, 0 deletions
diff --git a/src/armnn/backends/RefWorkloads/RefConvolution2dUint8Workload.cpp b/src/armnn/backends/RefWorkloads/RefConvolution2dUint8Workload.cpp
new file mode 100644
index 0000000000..f390baa387
--- /dev/null
+++ b/src/armnn/backends/RefWorkloads/RefConvolution2dUint8Workload.cpp
@@ -0,0 +1,38 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "RefConvolution2dUint8Workload.hpp"
+
+#include "ConvImpl.hpp"
+#include "RefWorkloadUtils.hpp"
+
+#include "Profiling.hpp"
+
+namespace armnn
+{
+
+void RefConvolution2dUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvolution2dUint8Workload_Execute");
+
+    const uint8_t* inputData = GetInputTensorDataU8(0, m_Data);
+    const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+    const uint8_t* weightsData = m_Data.m_Weight->template GetConstTensor<uint8_t>();
+    const TensorInfo& weightsInfo = GetTensorInfo(m_Data.m_Weight);
+    const int32_t* biasData = m_Data.m_Parameters.m_BiasEnabled ?
+        m_Data.m_Bias->template GetConstTensor<int32_t>() :
+        nullptr;
+    uint8_t* outputData = GetOutputTensorDataU8(0, m_Data);
+    const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+    ConvImpl<armnn::Convolution2dQueueDescriptor, uint8_t, int32_t, int32_t>(
+        m_Data,
+        inputData, inputInfo.GetQuantizationScale(),  inputInfo.GetQuantizationOffset(),
+        weightsData, weightsInfo.GetQuantizationScale(), weightsInfo.GetQuantizationOffset(),
+        biasData,
+        outputData, outputInfo.GetQuantizationScale(), outputInfo.GetQuantizationOffset());
+}
+
+} //namespace armnn