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author | Jan Eilers <jan.eilers@arm.com> | 2020-04-10 13:00:44 +0100 |
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committer | Jan Eilers <jan.eilers@arm.com> | 2020-04-14 09:24:26 +0100 |
commit | 3c9e04563b9fb7d7aadc61834909a9ffc6b1769c (patch) | |
tree | 367af149439d56a01eba1b522b7486aca5d56012 /src/backends/neon/workloads/NeonConcatWorkload.cpp | |
parent | 76bc728bc1681ed216ffe6f7720f3f57b5137fab (diff) | |
download | armnn-3c9e04563b9fb7d7aadc61834909a9ffc6b1769c.tar.gz |
IVGCVSW-4483 Removes boost::polymorphic_pointer_downcast
* replace boost::polymorphic_pointer_downcast by PolymorphicPointerDowncast
* replaced/removed includes
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I0ef934a3804cf05e4c38dec6c4ec49c76111a302
Diffstat (limited to 'src/backends/neon/workloads/NeonConcatWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConcatWorkload.cpp | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/src/backends/neon/workloads/NeonConcatWorkload.cpp b/src/backends/neon/workloads/NeonConcatWorkload.cpp index 4a9f68798c..65678aae59 100644 --- a/src/backends/neon/workloads/NeonConcatWorkload.cpp +++ b/src/backends/neon/workloads/NeonConcatWorkload.cpp @@ -8,11 +8,10 @@ #include "NeonWorkloadUtils.hpp" #include <aclCommon/ArmComputeTensorUtils.hpp> +#include <armnn/utility/PolymorphicDowncast.hpp> #include <backendsCommon/CpuTensorHandle.hpp> #include <neon/NeonTensorHandle.hpp> - - namespace armnn { using namespace armcomputetensorutils; @@ -73,10 +72,10 @@ const ConcatQueueDescriptor& descriptor, const WorkloadInfo& info) std::vector<arm_compute::ITensor *> aclInputs; for (auto input : m_Data.m_Inputs) { - arm_compute::ITensor& aclInput = boost::polymorphic_pointer_downcast<IAclTensorHandle>(input)->GetTensor(); + arm_compute::ITensor& aclInput = armnn::PolymorphicPointerDowncast<IAclTensorHandle>(input)->GetTensor(); aclInputs.emplace_back(&aclInput); } - arm_compute::ITensor& output = boost::polymorphic_pointer_downcast<IAclTensorHandle>( + arm_compute::ITensor& output = armnn::PolymorphicPointerDowncast<IAclTensorHandle>( m_Data.m_Outputs[0])->GetTensor(); // Create the layer function |