ClStridedSliceWorkload.cpp

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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//

#include "ClStridedSliceWorkload.hpp"

#include "ClWorkloadUtils.hpp"

#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>

#include <backendsCommon/CpuTensorHandle.hpp>
#include <backendsCommon/WorkloadUtils.hpp>

#include <boost/numeric/conversion/cast.hpp>
#include <cl/ClLayerSupport.hpp>
#include <cl/ClTensorHandle.hpp>
#include <cl/ClLayerSupport.hpp>

namespace armnn
{

using namespace armcomputetensorutils;

arm_compute::Status ClStridedSliceWorkloadValidate(const TensorInfo& input,
                                                   const TensorInfo& output,
                                                   const StridedSliceDescriptor& descriptor)
{
    const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
    const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);

    arm_compute::Coordinates starts;
    arm_compute::Coordinates ends;
    arm_compute::Coordinates strides;

    std::tie(starts, ends, strides) = SetClStridedSliceData(descriptor.m_Begin, descriptor.m_End, descriptor.m_Stride);

    auto numDimensions       = boost::numeric_cast<int>(input.GetNumDimensions());
    int32_t begin_mask       = ConvertMaskToACLFormat(descriptor.m_BeginMask, numDimensions);
    int32_t end_mask         = ConvertMaskToACLFormat(descriptor.m_EndMask, numDimensions);
    int32_t shrink_axis_mask = ConvertMaskToACLFormat(descriptor.m_ShrinkAxisMask, numDimensions);

    return arm_compute::CLStridedSlice::validate(&aclInputInfo,
                                        &aclOutputInfo,
                                        starts,
                                        ends,
                                        strides,
                                        begin_mask,
                                        end_mask,
                                        shrink_axis_mask);
}

ClStridedSliceWorkload::ClStridedSliceWorkload(const StridedSliceQueueDescriptor& descriptor,
                                               const WorkloadInfo& info)
    : BaseWorkload<StridedSliceQueueDescriptor>(descriptor, info)
{
    m_Data.ValidateInputsOutputs("ClStridedSliceWorkload", 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::Coordinates starts;
    arm_compute::Coordinates ends;
    arm_compute::Coordinates strides;

    std::tie(starts, ends, strides) = SetClStridedSliceData(m_Data.m_Parameters.m_Begin,
                                                            m_Data.m_Parameters.m_End,
                                                            m_Data.m_Parameters.m_Stride);

    auto numDimensions       = boost::numeric_cast<int>(info.m_InputTensorInfos[0].GetNumDimensions());
    int32_t begin_mask       = ConvertMaskToACLFormat(m_Data.m_Parameters.m_BeginMask, numDimensions);
    int32_t end_mask         = ConvertMaskToACLFormat(m_Data.m_Parameters.m_EndMask, numDimensions);
    int32_t shrink_axis_mask = ConvertMaskToACLFormat(m_Data.m_Parameters.m_ShrinkAxisMask, numDimensions);

    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
    input.info()->set_data_layout(aclDataLayout);
    output.info()->set_data_layout(aclDataLayout);

    m_StridedSliceLayer.configure(&input,
                                  &output,
                                  starts,
                                  ends,
                                  strides,
                                  begin_mask,
                                  end_mask,
                                  shrink_axis_mask);
}

void ClStridedSliceWorkload::Execute() const
{
    ARMNN_SCOPED_PROFILING_EVENT_CL("ClStridedSliceWorkload_Execute");
    RunClFunction(m_StridedSliceLayer, CHECK_LOCATION());
}

} //namespace armnn