From 9e53a35b66b1ec7ceee7c712380a13596175b83b Mon Sep 17 00:00:00 2001 From: arovir01 Date: Fri, 31 Aug 2018 15:26:35 +0100 Subject: IVGCVSW-1784: Rename float32 workloads for ACL Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b --- .../NeonL2NormalizationFloatWorkload.cpp | 42 ++++++++++++++++++++++ 1 file changed, 42 insertions(+) create mode 100644 src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp (limited to 'src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp') diff --git a/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp new file mode 100644 index 0000000000..bf0ef01349 --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonL2NormalizationFloatWorkload.cpp @@ -0,0 +1,42 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "NeonL2NormalizationFloatWorkload.hpp" +#include "backends/ArmComputeUtils.hpp" + +namespace armnn +{ + +arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input, + const TensorInfo& output) +{ + const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + arm_compute::NormalizationLayerInfo normalizationInfo = + CreateAclNormalizationLayerInfoForL2Normalization(input); + + return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo); +} + +NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor, + const WorkloadInfo& info, std::shared_ptr& memoryManager) + : FloatWorkload(descriptor, info) + , m_Layer(memoryManager) +{ + m_Data.ValidateInputsOutputs("NeonL2NormalizationFloatWorkload", 1, 1); + + arm_compute::ITensor& input = boost::polymorphic_downcast(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast(m_Data.m_Outputs[0])->GetTensor(); + m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0])); +} + +void NeonL2NormalizationFloatWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloatWorkload_Execute"); + m_Layer.run(); +} + +} //namespace armnn -- cgit v1.2.1