diff options
author | Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> | 2019-09-30 13:28:08 +0100 |
---|---|---|
committer | Kevin May <kevin.may@arm.com> | 2019-09-30 14:13:42 +0000 |
commit | 2f00b7421f259851448a0be72e9eb01141faad2e (patch) | |
tree | 109902951005eca1b6bac148c7b41387e487432d /src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp | |
parent | 7be47efac07b6276f02a17cb486f9061a426a837 (diff) | |
download | armnn-2f00b7421f259851448a0be72e9eb01141faad2e.tar.gz |
IVGCVSW-3734 Add NEON workload for DepthToSpace
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I4fa8cba57f3a2277112c02062f4d2790089d1eb5
Diffstat (limited to 'src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp new file mode 100644 index 0000000000..b30dfcd80e --- /dev/null +++ b/src/backends/neon/workloads/NeonDepthToSpaceWorkload.cpp @@ -0,0 +1,61 @@ +// +// Copyright © 2019 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonDepthToSpaceWorkload.hpp" + +#include "NeonWorkloadUtils.hpp" + +#include <aclCommon/ArmComputeTensorUtils.hpp> + +#include <boost/numeric/conversion/cast.hpp> +#include <boost/polymorphic_pointer_cast.hpp> + +namespace armnn +{ + +using namespace armcomputetensorutils; + +arm_compute::Status NeonDepthToSpaceWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const DepthToSpaceDescriptor& descriptor) +{ + DataLayout dataLayout = descriptor.m_DataLayout; + const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, dataLayout); + const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, dataLayout); + + int32_t blockSize = boost::numeric_cast<int32_t>(descriptor.m_BlockSize); + + return arm_compute::NEDepthToSpaceLayer::validate(&aclInput, &aclOutput, blockSize); +} + +NeonDepthToSpaceWorkload::NeonDepthToSpaceWorkload(const DepthToSpaceQueueDescriptor& desc, + const WorkloadInfo& info) + : BaseWorkload<DepthToSpaceQueueDescriptor>(desc, info) +{ + m_Data.ValidateInputsOutputs("NeonDepthToSpaceWorkload", 1, 1); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + + arm_compute::ITensor& input = + boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Inputs[0])->GetTensor(); + input.info()->set_data_layout(aclDataLayout); + + int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize); + + arm_compute::ITensor& output = + boost::polymorphic_pointer_downcast<IAclTensorHandle>(m_Data.m_Outputs[0])->GetTensor(); + output.info()->set_data_layout(aclDataLayout); + + m_Layer.configure(&input, &output, blockSize); + m_Layer.prepare(); +} + +void NeonDepthToSpaceWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthToSpaceWorkload_Execute"); + m_Layer.run(); +} + +} // namespace armnn |