diff options
Diffstat (limited to 'src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp | 11 |
1 files changed, 5 insertions, 6 deletions
diff --git a/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp b/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp index ca3b36e16f..df8caefbd2 100644 --- a/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp +++ b/src/backends/neon/workloads/NeonL2NormalizationFloatWorkload.cpp @@ -14,12 +14,11 @@ arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input, const TensorInfo& output, const L2NormalizationDescriptor& descriptor) { - const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout.GetDataLayout()); - const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo( - output, descriptor.m_DataLayout.GetDataLayout()); + const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); + const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); arm_compute::NormalizationLayerInfo normalizationInfo = - CreateAclNormalizationLayerInfoForL2Normalization(input, descriptor.m_DataLayout.GetDataLayout()); + CreateAclNormalizationLayerInfoForL2Normalization(input, descriptor.m_DataLayout); return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo); } @@ -34,14 +33,14 @@ NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2Norma arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout.GetDataLayout()); + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); input.info()->set_data_layout(aclDataLayout); output.info()->set_data_layout(aclDataLayout); m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization( - info.m_InputTensorInfos[0], m_Data.m_Parameters.m_DataLayout.GetDataLayout())); + info.m_InputTensorInfos[0], m_Data.m_Parameters.m_DataLayout)); } void NeonL2NormalizationFloatWorkload::Execute() const |