blob: b3cdcbae2a58145f25e84d9c76b7133879be0f22 [file] [log] [blame]
//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClElementwiseBinaryWorkload.hpp"
#include <cl/ClTensorHandle.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include "ClWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
ClElementwiseBinaryWorkload::ClElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor& descriptor,
const WorkloadInfo& info,
const arm_compute::CLCompileContext& clCompileContext)
: ClBaseWorkload<ElementwiseBinaryQueueDescriptor>(descriptor, info)
{
this->m_Data.ValidateInputsOutputs("ClElementwiseBinaryWorkload", 2, 1);
arm_compute::ICLTensor &input0 = static_cast<IClTensorHandle *>(this->m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor &input1 = static_cast<IClTensorHandle *>(this->m_Data.m_Inputs[1])->GetTensor();
arm_compute::ICLTensor &output = static_cast<IClTensorHandle *>(this->m_Data.m_Outputs[0])->GetTensor();
const arm_compute::ActivationLayerInfo activationInfo = ConvertAdditionalInfoToAclActivationLayerInfo(descriptor);
{
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClElementwiseBinaryWorkload_configure");
switch (descriptor.m_Parameters.m_Operation)
{
case armnn::BinaryOperation::Power:
{
auto powerLayer = std::make_unique<arm_compute::CLElementwisePower>();
powerLayer->configure(clCompileContext, &input0, &input1, &output, activationInfo);
m_ElementwiseBinaryLayer.reset(powerLayer.release());
break;
}
case armnn::BinaryOperation::SqDiff:
{
auto SqDiffLayer = std::make_unique<arm_compute::CLElementwiseSquaredDiff>();
SqDiffLayer->configure(clCompileContext, &input0, &input1, &output, activationInfo);
m_ElementwiseBinaryLayer.reset(SqDiffLayer.release());
break;
}
default:
throw InvalidArgumentException("Unknown binary operator", CHECK_LOCATION());
}
}
}
void ClElementwiseBinaryWorkload::Execute() const
{
if (m_ElementwiseBinaryLayer)
{
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClElementwiseBinaryWorkload_Execute");
m_ElementwiseBinaryLayer->run();
}
}
arm_compute::Status ClElementwiseBinaryValidate(const TensorInfo& input0,
const TensorInfo& input1,
const TensorInfo& output,
const ElementwiseBinaryDescriptor& descriptor,
const ActivationDescriptor* activationDescriptor)
{
const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0);
const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
const arm_compute::ActivationLayerInfo activationInfo = ConvertActivationDescriptorToAclActivationLayerInfo(
activationDescriptor);
switch (descriptor.m_Operation)
{
case armnn::BinaryOperation::Power:
return arm_compute::CLElementwisePower::validate(&aclInput0Info,
&aclInput1Info,
&aclOutputInfo,
activationInfo);
case armnn::BinaryOperation::SqDiff:
return arm_compute::CLElementwiseSquaredDiff::validate(&aclInput0Info,
&aclInput1Info,
&aclOutputInfo,
activationInfo);
default:
throw InvalidArgumentException("Unknown binary operator", CHECK_LOCATION());
}
}
} //namespace armnn