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-rw-r--r--src/backends/neon/workloads/CMakeLists.txt2
-rw-r--r--src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp109
-rw-r--r--src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.hpp45
-rw-r--r--src/backends/neon/workloads/NeonWorkloads.hpp1
4 files changed, 157 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/CMakeLists.txt b/src/backends/neon/workloads/CMakeLists.txt
index 1115df1c20..e03a7137de 100644
--- a/src/backends/neon/workloads/CMakeLists.txt
+++ b/src/backends/neon/workloads/CMakeLists.txt
@@ -76,6 +76,8 @@ list(APPEND armnnNeonBackendWorkloads_sources
NeonStridedSliceWorkload.hpp
NeonSubtractionWorkload.cpp
NeonSubtractionWorkload.hpp
+ NeonTransposeConvolution2dWorkload.cpp
+ NeonTransposeConvolution2dWorkload.hpp
NeonWorkloads.hpp
NeonWorkloadUtils.hpp
)
diff --git a/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp
new file mode 100644
index 0000000000..c62f71948c
--- /dev/null
+++ b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.cpp
@@ -0,0 +1,109 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "NeonTransposeConvolution2dWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <Profiling.hpp>
+
+#include <armnn/Types.hpp>
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <neon/workloads/NeonWorkloadUtils.hpp>
+
+#include <boost/cast.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status NeonTransposeConvolution2dWorkloadValidate(const TensorInfo& input,
+ const TensorInfo& output,
+ const TransposeConvolution2dDescriptor& descriptor,
+ const TensorInfo& weights,
+ const Optional<TensorInfo>& biases)
+{
+ const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
+ const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
+ const 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 layerInfo = BuildArmComputePadStrideInfo(descriptor);
+
+ return arm_compute::NEDeconvolutionLayer::validate(&aclInputInfo,
+ &aclWeightsInfo,
+ optionalAclBiasesInfo,
+ &aclOutputInfo,
+ layerInfo);
+}
+
+NeonTransposeConvolution2dWorkload::NeonTransposeConvolution2dWorkload(
+ const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info,
+ std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
+ : BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("NeonTransposeConvolution2dWorkload", 1, 1);
+
+ arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+ arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(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_KernelTensor = std::make_unique<arm_compute::Tensor>();
+ BuildArmComputeTensor(*m_KernelTensor, m_Data.m_Weight->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
+
+ if (m_Data.m_Parameters.m_BiasEnabled)
+ {
+ m_BiasTensor = std::make_unique<arm_compute::Tensor>();
+ BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.m_DataLayout);
+ }
+
+ arm_compute::PadStrideInfo padStrideInfo = BuildArmComputePadStrideInfo(m_Data.m_Parameters);
+
+ m_Layer = std::make_unique<arm_compute::NEDeconvolutionLayer>(memoryManager);
+ m_Layer->configure(&input, m_KernelTensor.get(), m_BiasTensor.get(), &output, padStrideInfo);
+
+ BOOST_ASSERT(m_Layer);
+
+ InitializeArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight);
+
+ if (m_Data.m_Parameters.m_BiasEnabled)
+ {
+ InitializeArmComputeTensorData(*m_BiasTensor, m_Data.m_Bias);
+ }
+
+ m_Layer->prepare();
+ FreeUnusedTensors();
+}
+
+void NeonTransposeConvolution2dWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonTransposeConvolution2dWorkload_Execute");
+ m_Layer->run();
+}
+
+void NeonTransposeConvolution2dWorkload::FreeUnusedTensors()
+{
+ FreeTensorIfUnused(m_KernelTensor);
+ FreeTensorIfUnused(m_BiasTensor);
+}
+
+} // namespace armnn
diff --git a/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.hpp b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.hpp
new file mode 100644
index 0000000000..995495e2ab
--- /dev/null
+++ b/src/backends/neon/workloads/NeonTransposeConvolution2dWorkload.hpp
@@ -0,0 +1,45 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <backendsCommon/Workload.hpp>
+
+#include <arm_compute/runtime/IFunction.h>
+#include <arm_compute/runtime/Tensor.h>
+#include <arm_compute/runtime/MemoryManagerOnDemand.h>
+
+#include <arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h>
+
+#include <memory>
+
+namespace armnn
+{
+
+arm_compute::Status NeonTransposeConvolution2dWorkloadValidate(const TensorInfo& input,
+ const TensorInfo& output,
+ const TransposeConvolution2dDescriptor& descriptor,
+ const TensorInfo& weights,
+ const Optional<TensorInfo>& biases);
+
+class NeonTransposeConvolution2dWorkload : public BaseWorkload<TransposeConvolution2dQueueDescriptor>
+{
+public:
+ NeonTransposeConvolution2dWorkload(const TransposeConvolution2dQueueDescriptor& descriptor,
+ const WorkloadInfo& info,
+ std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager);
+
+ void Execute() const override;
+
+private:
+ std::unique_ptr<arm_compute::NEDeconvolutionLayer> m_Layer;
+
+ std::unique_ptr<arm_compute::Tensor> m_KernelTensor;
+ std::unique_ptr<arm_compute::Tensor> m_BiasTensor;
+
+ void FreeUnusedTensors();
+};
+
+} //namespace armnn
diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp
index c201f6c3cd..210ba96e62 100644
--- a/src/backends/neon/workloads/NeonWorkloads.hpp
+++ b/src/backends/neon/workloads/NeonWorkloads.hpp
@@ -39,3 +39,4 @@
#include "NeonStackWorkload.hpp"
#include "NeonStridedSliceWorkload.hpp"
#include "NeonSubtractionWorkload.hpp"
+#include "NeonTransposeConvolution2dWorkload.hpp"