IVGCVSW-3162 Support CL workload for TransposeConv2D

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I3b021c0828d30298d99ddb211c9aae17fe3636f0

1 files changed, 122 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp b/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
new file mode 100644
index 0000000000..7da6f3bd45
--- /dev/null
+++ b/src/backends/cl/workloads/ClTransposeConvolution2dWorkload.cpp
@@ -0,0 +1,122 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClTransposeConvolution2dWorkload.hpp"
+
+#include "ClWorkloadUtils.hpp"
+
+#include <cl/ClLayerSupport.hpp>
+#include <cl/ClTensorHandle.hpp>
+#include <cl/ClLayerSupport.hpp>
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status ClTransposeConvolution2dWorkloadValidate(const TensorInfo& input,
+                                                             const TensorInfo& output,
+                                                             const TransposeConvolution2dDescriptor& descriptor,
+                                                             const TensorInfo& weights,
+                                                             const Optional<TensorInfo>& biases)
+{
+    arm_compute::TensorInfo aclInputInfo   = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
+    arm_compute::TensorInfo aclOutputInfo  = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
+    arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout);
+
+    arm_compute::TensorInfo aclBiasesInfo;
+    arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr;
+
+    if (descriptor.m_BiasEnabled)
+    {
+        BOOST_ASSERT(biases.has_value());
+
+        aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout);
+        optionalAclBiasesInfo = &aclBiasesInfo;
+    }
+
+    arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(descriptor);
+
+    constexpr unsigned int innerBorderRight = 0u;
+    constexpr unsigned int innerBorderTop   = 0u;
+
+    return arm_compute::CLDeconvolutionLayer::validate(&aclInputInfo,
+                                                       &aclWeightsInfo,
+                                                       optionalAclBiasesInfo,
+                                                       &aclOutputInfo,
+                                                       padStrideInfo,
+                                                       innerBorderRight,
+                                                       innerBorderTop);
+}
+
+ClTransposeConvolution2dWorkload::ClTransposeConvolution2dWorkload(
+    const TransposeConvolution2dQueueDescriptor& descriptor,
+    const WorkloadInfo& info,
+    std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) :
+    BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info),
+    m_Layer(memoryManager)
+{
+    const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
+
+    m_WeightsTensor = std::make_unique<arm_compute::CLTensor>();
+    BuildArmComputeTensor(*m_WeightsTensor, weightInfo, m_Data.m_Parameters.m_DataLayout);
+
+    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);
+
+    if (m_Data.m_Parameters.m_BiasEnabled)
+    {
+        m_BiasesTensor = std::make_unique<arm_compute::CLTensor>();
+        BuildArmComputeTensor(*m_BiasesTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
+    }
+
+    m_Data.ValidateInputsOutputs("ClTransposeConvolution2dWorkload", 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();
+
+    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+
+    input.info()->set_data_layout(aclDataLayout);
+    output.info()->set_data_layout(aclDataLayout);
+
+    m_Layer.configure(&input, m_WeightsTensor.get(), m_BiasesTensor.get(), &output, padStrideInfo);
+
+    InitializeArmComputeClTensorData(*m_WeightsTensor, m_Data.m_Weight);
+    if (m_BiasesTensor)
+    {
+        InitializeArmComputeClTensorData(*m_BiasesTensor, m_Data.m_Bias);
+    }
+
+    m_Layer.prepare();
+
+    FreeUnusedTensors();
+}
+
+void ClTransposeConvolution2dWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClTransposeConvolution2dWorkload_Execute");
+    RunClFunction(m_Layer, CHECK_LOCATION());
+}
+
+void ClTransposeConvolution2dWorkload::FreeUnusedTensors()
+{
+    FreeTensorIfUnused(m_WeightsTensor);
+    FreeTensorIfUnused(m_BiasesTensor);
+}
+
+} // namespace armnn