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author | Sadik Armagan <sadik.armagan@arm.com> | 2018-12-17 11:32:16 +0000 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2019-01-23 15:27:22 +0000 |
commit | c625f000198218fc8d03130ee5658f73b94b2683 (patch) | |
tree | bc56a2045f9bb1d90b28e1f07f55eec2a2927a5e /src/backends/neon/workloads/NeonResizeBilinearWorkload.cpp | |
parent | 70672f6c52e95256911ca70110d3ad2643b43eaa (diff) | |
download | armnn-c625f000198218fc8d03130ee5658f73b94b2683.tar.gz |
IVGCVSW-1048 RESIZE_BILINEAR NEON operator
* Implemented NeonResizeBilinearWorkload
* Enable ResizeBilinear Operator unit tests for Neon
!android-nn-driver:405
Change-Id: Iec3100ccaf7d246e8eaf683d1f3ec9191df5241e
Diffstat (limited to 'src/backends/neon/workloads/NeonResizeBilinearWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonResizeBilinearWorkload.cpp | 59 |
1 files changed, 59 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonResizeBilinearWorkload.cpp b/src/backends/neon/workloads/NeonResizeBilinearWorkload.cpp new file mode 100644 index 0000000000..37f97bfe0e --- /dev/null +++ b/src/backends/neon/workloads/NeonResizeBilinearWorkload.cpp @@ -0,0 +1,59 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonResizeBilinearWorkload.hpp" + +#include <aclCommon/ArmComputeUtils.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <neon/NeonTensorHandle.hpp> +#include <neon/NeonLayerSupport.hpp> + +using namespace armnn::armcomputetensorutils; + +namespace armnn +{ + +arm_compute::Status NeonResizeBilinearWorkloadValidate(const TensorInfo& input, const TensorInfo& output) +{ + const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + return arm_compute::NEScale::validate(&aclInputInfo, + &aclOutputInfo, + arm_compute::InterpolationPolicy::BILINEAR, + arm_compute::BorderMode::REPLICATE, + arm_compute::PixelValue(0.f), + arm_compute::SamplingPolicy::TOP_LEFT); +} + +NeonResizeBilinearWorkload::NeonResizeBilinearWorkload(const ResizeBilinearQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload<ResizeBilinearQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonResizeBilinearWorkload", 1, 1); + + 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); + input.info()->set_data_layout(aclDataLayout); + output.info()->set_data_layout(aclDataLayout); + + m_ResizeBilinearLayer.configure(&input, + &output, + arm_compute::InterpolationPolicy::BILINEAR, + arm_compute::BorderMode::REPLICATE, + arm_compute::PixelValue(0.f), + arm_compute::SamplingPolicy::TOP_LEFT); +}; + +void NeonResizeBilinearWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeBilinearWorkload_Execute"); + m_ResizeBilinearLayer.run(); +} + +} //namespace armnn |