diff options
author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-07-02 17:25:47 +0100 |
---|---|---|
committer | Áron Virginás-Tar <aron.virginas-tar@arm.com> | 2019-07-12 14:44:27 +0000 |
commit | cc0cefb6ca2abf22fc0128548b93a492df530705 (patch) | |
tree | 3b87a05e2b83ee432a04b7c43f769e0a572a2a5c /src/backends/cl/workloads/ClResizeWorkload.cpp | |
parent | 59c6670cac0aac1fedf426fb19ccd578da6f9f55 (diff) | |
download | armnn-cc0cefb6ca2abf22fc0128548b93a492df530705.tar.gz |
IVGCVSW-3296 Add CL backend support for ResizeNearestNeighbour
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I7f4c722141837939fd8904c52e75704a15c8a5e3
Diffstat (limited to 'src/backends/cl/workloads/ClResizeWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClResizeWorkload.cpp | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClResizeWorkload.cpp b/src/backends/cl/workloads/ClResizeWorkload.cpp new file mode 100644 index 0000000000..3c9c3aab16 --- /dev/null +++ b/src/backends/cl/workloads/ClResizeWorkload.cpp @@ -0,0 +1,74 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ClResizeWorkload.hpp" + +#include "ClWorkloadUtils.hpp" + +#include <aclCommon/ArmComputeUtils.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> + +#include <backendsCommon/CpuTensorHandle.hpp> + +#include <cl/ClLayerSupport.hpp> +#include <cl/ClTensorHandle.hpp> + +using namespace armnn::armcomputetensorutils; + +namespace armnn +{ + +arm_compute::Status ClResizeWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const ResizeDescriptor& descriptor) +{ + arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); + arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout); + aclInputInfo.set_data_layout(aclDataLayout); + aclOutputInfo.set_data_layout(aclDataLayout); + + arm_compute::InterpolationPolicy aclInterpolationPolicy = + ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Method); + + return arm_compute::CLScale::validate(&aclInputInfo, + &aclOutputInfo, + aclInterpolationPolicy, + arm_compute::BorderMode::REPLICATE, + arm_compute::PixelValue(0.f), + arm_compute::SamplingPolicy::TOP_LEFT); +} + +ClResizeWorkload::ClResizeWorkload(const ResizeQueueDescriptor& descriptor, const WorkloadInfo& info) : + BaseWorkload<ResizeQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("ClResizeWorkload", 1, 1); + + arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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); + + arm_compute::InterpolationPolicy aclInterpolationPolicy = + ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method); + + m_ResizeLayer.configure(&input, + &output, + aclInterpolationPolicy, + arm_compute::BorderMode::REPLICATE, + arm_compute::PixelValue(0.f), + arm_compute::SamplingPolicy::TOP_LEFT); +}; + +void ClResizeWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClResizeWorkload_Execute"); + RunClFunction(m_ResizeLayer, CHECK_LOCATION()); +} + +} //namespace armnn |