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Diffstat (limited to 'src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp b/src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp new file mode 100644 index 0000000000..969c9bb08b --- /dev/null +++ b/src/backends/cl/workloads/ClNormalizationFloatWorkload.cpp @@ -0,0 +1,51 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ClNormalizationFloatWorkload.hpp" +#include <backends/cl/ClTensorHandle.hpp> +#include <backends/CpuTensorHandle.hpp> +#include <backends/cl/ClLayerSupport.hpp> +#include <backends/aclCommon/ArmComputeUtils.hpp> +#include <backends/aclCommon/ArmComputeTensorUtils.hpp> +#include "ClWorkloadUtils.hpp" + +using namespace armnn::armcomputetensorutils; + +namespace armnn +{ + +arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const NormalizationDescriptor& descriptor) +{ + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); + + arm_compute::NormalizationLayerInfo layerInfo = BuildArmComputeNormalizationLayerInfo(descriptor); + + return arm_compute::CLNormalizationLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo); +} + +ClNormalizationFloatWorkload::ClNormalizationFloatWorkload(const NormalizationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : FloatWorkload<NormalizationQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("ClNormalizationFloatWorkload", 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::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(m_Data.m_Parameters); + + m_NormalizationLayer.configure(&input, &output, normalizationInfo); +}; + +void ClNormalizationFloatWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClNormalizationFloatWorkload_Execute"); + m_NormalizationLayer.run(); +} + +} //namespace armnn |