diff options
Diffstat (limited to 'src/backends/neon/workloads')
4 files changed, 105 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/CMakeLists.txt b/src/backends/neon/workloads/CMakeLists.txt index 46b5332235..02ffedcf09 100644 --- a/src/backends/neon/workloads/CMakeLists.txt +++ b/src/backends/neon/workloads/CMakeLists.txt @@ -14,6 +14,8 @@ list(APPEND armnnNeonBackendWorkloads_sources NeonArgMinMaxWorkload.hpp NeonBatchNormalizationWorkload.cpp NeonBatchNormalizationWorkload.hpp + NeonBatchToSpaceNdWorkload.cpp + NeonBatchToSpaceNdWorkload.hpp NeonConcatWorkload.cpp NeonConcatWorkload.hpp NeonConstantWorkload.cpp diff --git a/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp b/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp new file mode 100644 index 0000000000..a6e7aa4415 --- /dev/null +++ b/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp @@ -0,0 +1,67 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonBatchToSpaceNdWorkload.hpp" + +#include "NeonWorkloadUtils.hpp" +#include <ResolveType.hpp> + +namespace armnn +{ + +using namespace armcomputetensorutils; + +arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const BatchToSpaceNdDescriptor& desc) +{ + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, desc.m_DataLayout); + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, desc.m_DataLayout); + + // ArmNN blockShape is [H, W] Cl asks for W, H + int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_BlockShape[0]); + int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_BlockShape[1]); + + const arm_compute::Status aclStatus = arm_compute::NEBatchToSpaceLayer::validate(&aclInputInfo, + blockWidth, + blockHeight, + &aclOutputInfo); + return aclStatus; +} + +NeonBatchToSpaceNdWorkload::NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& desc, + const WorkloadInfo& info) + : BaseWorkload<BatchToSpaceNdQueueDescriptor>(desc, info) +{ + m_Data.ValidateInputsOutputs("NeonBatchToSpaceNdWorkload", 1, 1); + + arm_compute::ITensor& input = + boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = + boost::polymorphic_pointer_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); + + // ArmNN blockShape is [H, W] Cl asks for W, H + int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]); + int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]); + + m_Layer.reset(new arm_compute::NEBatchToSpaceLayer()); + m_Layer->configure(&input, blockWidth, blockHeight, &output); + m_Layer->prepare(); +} + +void NeonBatchToSpaceNdWorkload::Execute() const +{ + if (m_Layer) + { + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToBatchNdWorkload_Execute"); + m_Layer->run(); + } +} + +} //namespace armnn diff --git a/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.hpp b/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.hpp new file mode 100644 index 0000000000..dd146e5681 --- /dev/null +++ b/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.hpp @@ -0,0 +1,35 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <armnn/Tensor.hpp> +#include <armnn/Descriptors.hpp> + +#include <backendsCommon/Workload.hpp> + +#include <arm_compute/runtime/NEON/functions/NEBatchToSpaceLayer.h> + +namespace armnn +{ + +arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const BatchToSpaceNdDescriptor& descriptor); + +class NeonBatchToSpaceNdWorkload : public BaseWorkload<BatchToSpaceNdQueueDescriptor> +{ +public: + using BaseWorkload<BatchToSpaceNdQueueDescriptor>::BaseWorkload; + + NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& descriptor, const WorkloadInfo& info); + + virtual void Execute() const override; + +private: + mutable std::unique_ptr<arm_compute::NEBatchToSpaceLayer> m_Layer; +}; + +} diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp index 39cf044b6c..b08483c443 100644 --- a/src/backends/neon/workloads/NeonWorkloads.hpp +++ b/src/backends/neon/workloads/NeonWorkloads.hpp @@ -10,6 +10,7 @@ #include "NeonDivisionWorkload.hpp" #include "NeonArgMinMaxWorkload.hpp" #include "NeonBatchNormalizationWorkload.hpp" +#include "NeonBatchToSpaceNdWorkload.hpp" #include "NeonConstantWorkload.hpp" #include "NeonConvertFp16ToFp32Workload.hpp" #include "NeonConvertFp32ToFp16Workload.hpp" |