diff options
Diffstat (limited to 'src/backends/neon/workloads/NeonNormalizationFloatWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonNormalizationFloatWorkload.cpp | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonNormalizationFloatWorkload.cpp b/src/backends/neon/workloads/NeonNormalizationFloatWorkload.cpp index 8cb4ec975d..77fc429b95 100644 --- a/src/backends/neon/workloads/NeonNormalizationFloatWorkload.cpp +++ b/src/backends/neon/workloads/NeonNormalizationFloatWorkload.cpp @@ -8,6 +8,7 @@ #include "NeonWorkloadUtils.hpp" #include <aclCommon/ArmComputeUtils.hpp> #include <aclCommon/ArmComputeTensorUtils.hpp> +#include <armnn/utility/PolymorphicDowncast.hpp> #include <arm_compute/runtime/NEON/functions/NENormalizationLayer.h> @@ -77,8 +78,8 @@ NeonNormalizationFloatWorkload::NeonNormalizationFloatWorkload(const Normalizati throw InvalidArgumentException("Normalization requires input and output tensors to have equal dimensionality."); } - arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); input.info()->set_data_layout(aclDataLayout); output.info()->set_data_layout(aclDataLayout); |