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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
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