diff options
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/NeonReshapeWorkload.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/NeonReshapeWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonReshapeWorkload.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/backends/neon/workloads/NeonReshapeWorkload.cpp b/src/backends/neon/workloads/NeonReshapeWorkload.cpp index 659bb94723..8b11da7253 100644 --- a/src/backends/neon/workloads/NeonReshapeWorkload.cpp +++ b/src/backends/neon/workloads/NeonReshapeWorkload.cpp @@ -7,9 +7,9 @@ #include "NeonWorkloadUtils.hpp" -#include <arm_compute/runtime/NEON/functions/NEReshapeLayer.h> +#include <armnn/utility/PolymorphicDowncast.hpp> -#include <boost/polymorphic_cast.hpp> +#include <arm_compute/runtime/NEON/functions/NEReshapeLayer.h> namespace armnn { @@ -29,8 +29,8 @@ NeonReshapeWorkload::NeonReshapeWorkload(const ReshapeQueueDescriptor& descripto { m_Data.ValidateInputsOutputs("NeonReshapeWorkload", 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(); auto layer = std::make_unique<arm_compute::NEReshapeLayer>(); layer->configure(&input, &output); |