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| author | Jan Eilers <jan.eilers@arm.com> | 2020-04-02 13:56:54 +0100 |
|---|---|---|
| committer | Jan Eilers <jan.eilers@arm.com> | 2020-04-10 10:11:11 +0100 |
| commit | bb446e576e120512d5752a5d6dc1ddc636f563ba (patch) | |
| tree | 147d0b5f2886af208199a24704afd845a4825bf8 /src/backends/neon/workloads/NeonResizeWorkload.cpp | |
| parent | e5d0b93b152a26faf93538eb719d03e5b477d670 (diff) | |
| download | armnn-bb446e576e120512d5752a5d6dc1ddc636f563ba.tar.gz | |
IVGCVSW-4483 Remove boost::polymorphic_downcast
* exchange boost::polymorphic_downcast with armnn::PolymorphicDowncast
* remove unnecessary includes of boost::polymorphic_downcast
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Ie603fb82860fe05fee547dc78073230cc62b2e1f
Diffstat (limited to 'src/backends/neon/workloads/NeonResizeWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonResizeWorkload.cpp | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/src/backends/neon/workloads/NeonResizeWorkload.cpp b/src/backends/neon/workloads/NeonResizeWorkload.cpp index e936ab7446..9e3be2655c 100644 --- a/src/backends/neon/workloads/NeonResizeWorkload.cpp +++ b/src/backends/neon/workloads/NeonResizeWorkload.cpp @@ -9,7 +9,9 @@ #include <aclCommon/ArmComputeUtils.hpp> #include <aclCommon/ArmComputeTensorUtils.hpp> +#include <armnn/utility/PolymorphicDowncast.hpp> #include <backendsCommon/CpuTensorHandle.hpp> + #include <neon/NeonTensorHandle.hpp> using namespace armnn::armcomputetensorutils; @@ -45,8 +47,8 @@ NeonResizeWorkload::NeonResizeWorkload(const ResizeQueueDescriptor& descriptor, { m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1); - 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); |