diff options
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp')
-rw-r--r-- | src/armnn/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp b/src/armnn/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp new file mode 100644 index 0000000000..c79ed9716c --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClL2NormalizationFloatWorkload.cpp @@ -0,0 +1,47 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "ClL2NormalizationFloatWorkload.hpp" +#include "backends/ClTensorHandle.hpp" +#include "backends/CpuTensorHandle.hpp" +#include "backends/ArmComputeUtils.hpp" + +namespace armnn +{ +using namespace armcomputetensorutils; + +arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input, + const TensorInfo& output) +{ + const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output); + + arm_compute::NormalizationLayerInfo normalizationInfo = + CreateAclNormalizationLayerInfoForL2Normalization(input); + + return arm_compute::CLNormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo); +} + +ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("ClL2NormalizationFloatWorkload", 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(); + m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0])); +} + +void ClL2NormalizationFloatWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClL2NormalizationFloatWorkload_Execute"); + m_Layer.run(); +} + +} //namespace armnn + + + |