1 files changed, 72 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp b/src/armnn/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp
new file mode 100644
index 0000000000..a3c6ac9dca
--- /dev/null
+++ b/src/armnn/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp
@@ -0,0 +1,72 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "ClConvolution2dUint8Workload.hpp"
+#include "backends/ClTensorHandle.hpp"
+#include "backends/CpuTensorHandle.hpp"
+#include "backends/ArmComputeTensorUtils.hpp"
+#include "backends/ClLayerSupport.hpp"
+
+namespace armnn
+{
+using namespace armcomputetensorutils;
+
+ClConvolution2dUint8Workload::ClConvolution2dUint8Workload(const Convolution2dQueueDescriptor& descriptor,
+                                                           const WorkloadInfo& info)
+    : Uint8Workload<Convolution2dQueueDescriptor>(descriptor, info)
+{
+
+    // todo: check tensor shapes match
+    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
+    BuildArmComputeTensor(m_KernelTensor, weightInfo);
+
+    arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
+                                             m_Data.m_Parameters.m_StrideY,
+                                             m_Data.m_Parameters.m_PadLeft,
+                                             m_Data.m_Parameters.m_PadRight,
+                                             m_Data.m_Parameters.m_PadTop,
+                                             m_Data.m_Parameters.m_PadBottom,
+                                             arm_compute::DimensionRoundingType::FLOOR);
+
+    arm_compute::CLTensor* optionalBias = nullptr;
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
+        optionalBias = &m_BiasTensor;
+    }
+
+    m_Data.ValidateInputsOutputs("ClConvolution2dUint8Workload", 1, 1);
+
+    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+    BOOST_ASSERT_MSG(IsClDirectConvolution2dSupported(weightInfo, m_Data.m_Parameters),
+                     "Unsupported parameters for u8 convolution");
+
+    m_pConvolutionLayer = std::make_unique<arm_compute::CLDirectConvolutionLayer>();
+    static_cast<arm_compute::CLDirectConvolutionLayer*>(m_pConvolutionLayer.get())->configure(&input,
+                                                                                              &m_KernelTensor,
+                                                                                              optionalBias,
+                                                                                              &output,
+                                                                                              padStrideInfo);
+    BOOST_ASSERT(m_pConvolutionLayer);
+
+    InitialiseArmComputeClTensorData(m_KernelTensor, m_Data.m_Weight->GetConstTensor<uint8_t>());
+
+    if (optionalBias)
+    {
+        InitialiseArmComputeClTensorData(*optionalBias, m_Data.m_Bias->GetConstTensor<int32_t>());
+    }
+}
+
+void ClConvolution2dUint8Workload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClConvolution2dUint8Workload_Execute");
+    BOOST_ASSERT(m_pConvolutionLayer);
+
+    m_pConvolutionLayer->run();
+}
+
+} //namespace armnn