diff options
Diffstat (limited to 'src/backends/neon/workloads/NeonPreluWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonPreluWorkload.cpp | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonPreluWorkload.cpp b/src/backends/neon/workloads/NeonPreluWorkload.cpp new file mode 100644 index 0000000000..107090e704 --- /dev/null +++ b/src/backends/neon/workloads/NeonPreluWorkload.cpp @@ -0,0 +1,50 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonPreluWorkload.hpp" +#include "NeonWorkloadUtils.hpp" +#include <aclCommon/ArmComputeUtils.hpp> + +#include <arm_compute/runtime/NEON/functions/NEPReluLayer.h> + +namespace armnn +{ + +arm_compute::Status NeonPreluWorkloadValidate(const TensorInfo& input, + const TensorInfo& alpha, + const TensorInfo& output) +{ + const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclAlpha = armcomputetensorutils::BuildArmComputeTensorInfo(alpha); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + return arm_compute::NEPReluLayer::validate(&aclInput, + &aclAlpha, + &aclOutput); +} + +NeonPreluWorkload::NeonPreluWorkload(const PreluQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload<PreluQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonPreluWorkload", 1, 1); + + arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& alpha = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + auto layer = std::make_unique<arm_compute::NEPReluLayer>(); + layer->configure(&input, &alpha, &output); + + m_PreluLayer.reset(layer.release()); +} + +void NeonPreluWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonPreluWorkload_Execute"); + m_PreluLayer->run(); +} + +} //namespace armnn
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