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Diffstat (limited to 'src/backends/neon/workloads/NeonStridedSliceWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonStridedSliceWorkload.cpp | 90 |
1 files changed, 90 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonStridedSliceWorkload.cpp b/src/backends/neon/workloads/NeonStridedSliceWorkload.cpp new file mode 100644 index 0000000000..9c24728004 --- /dev/null +++ b/src/backends/neon/workloads/NeonStridedSliceWorkload.cpp @@ -0,0 +1,90 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonStridedSliceWorkload.hpp" + +#include "NeonWorkloadUtils.hpp" +#include <neon/NeonTensorHandle.hpp> +#include <aclCommon/ArmComputeUtils.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> + + +namespace armnn +{ + +arm_compute::Status NeonStridedSliceWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const StridedSliceDescriptor& descriptor) +{ + const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + arm_compute::Coordinates starts; + arm_compute::Coordinates ends; + arm_compute::Coordinates strides; + + std::tie(starts, ends, strides) = SetNeonStridedSliceData(descriptor.m_Begin, + descriptor.m_End, + descriptor.m_Stride); + + int32_t begin_mask = descriptor.m_BeginMask; + int32_t end_mask = descriptor.m_EndMask; + int32_t shrink_axis_mask = descriptor.m_ShrinkAxisMask; + + return arm_compute::NEStridedSlice::validate(&aclInput, + &aclOutput, + starts, + ends, + strides, + begin_mask, + end_mask, + shrink_axis_mask); +} + +NeonStridedSliceWorkload::NeonStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonStridedSliceWorkload", 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::Coordinates starts; + arm_compute::Coordinates ends; + arm_compute::Coordinates strides; + + std::tie(starts, ends, strides) = SetNeonStridedSliceData(m_Data.m_Parameters.m_Begin, + m_Data.m_Parameters.m_End, + m_Data.m_Parameters.m_Stride); + + int32_t begin_mask = m_Data.m_Parameters.m_BeginMask; + int32_t end_mask = m_Data.m_Parameters.m_EndMask; + int32_t shrink_axis_mask = m_Data.m_Parameters.m_ShrinkAxisMask; + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + input.info()->set_data_layout(aclDataLayout); + output.info()->set_data_layout(aclDataLayout); + + auto layer = std::make_unique<arm_compute::NEStridedSlice>(); + + layer->configure(&input, + &output, + starts, + ends, + strides, + begin_mask, + end_mask, + shrink_axis_mask); + m_Layer.reset(layer.release()); +} + +void NeonStridedSliceWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStridedSliceWorkload_Execute"); + m_Layer->run(); +} + +} //namespace armnn
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