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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "NeonDepthwiseConvolutionFloat32Workload.hpp"
#include "backends/NeonLayerSupport.hpp"
#include "backends/CpuTensorHandle.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
NeonDepthwiseConvolutionFloat32Workload::NeonDepthwiseConvolutionFloat32Workload(
const DepthwiseConvolution2dQueueDescriptor& descriptor,
const WorkloadInfo& info)
: Float32Workload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info)
{
const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo();
std::string reasonIfUnsupported;
if (!IsNeonDepthwiseConvolution2dDescParamsSupported(&reasonIfUnsupported, m_Data.m_Parameters, weightInfo))
{
throw UnimplementedException(reasonIfUnsupported);
}
BuildArmComputeTensor(m_KernelTensor, weightInfo);
arm_compute::Tensor* optionalBias = nullptr;
if (m_Data.m_Parameters.m_BiasEnabled)
{
BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo());
optionalBias = &m_BiasTensor;
}
arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX,
m_Data.m_Parameters.m_StrideY,
m_Data.m_Parameters.m_PadLeft,
m_Data.m_Parameters.m_PadRight,
m_Data.m_Parameters.m_PadTop,
m_Data.m_Parameters.m_PadBottom,
arm_compute::DimensionRoundingType::FLOOR);
m_Data.ValidateInputsOutputs("NeonDepthwiseConvolutionFloat32Workload", 1, 1);
arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
bool use3x3Optimisation = weightInfo.GetShape()[3] == 3 && weightInfo.GetShape()[2] == 3;
if (use3x3Optimisation)
{
m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer3x3>();
static_cast<arm_compute::NEDepthwiseConvolutionLayer3x3*>(
m_pDepthwiseConvolutionLayer.get())->configure(&input,
&m_KernelTensor,
optionalBias,
&output,
padStrideInfo);
}
else
{
m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer>();
static_cast<arm_compute::NEDepthwiseConvolutionLayer*>(
m_pDepthwiseConvolutionLayer.get())->configure(&input,
&m_KernelTensor,
optionalBias,
&output,
padStrideInfo);
}
BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
InitialiseArmComputeTensorData(m_KernelTensor, m_Data.m_Weight->GetConstTensor<float>());
if (optionalBias)
{
InitialiseArmComputeTensorData(*optionalBias, m_Data.m_Bias->GetConstTensor<float>());
}
}
void NeonDepthwiseConvolutionFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "NeonDepthwiseConvolutionFloat32Workload_Execute");
BOOST_ASSERT(m_pDepthwiseConvolutionLayer);
m_pDepthwiseConvolutionLayer->run();
}
} //namespace armnn
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