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Diffstat (limited to 'src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp | 58 |
1 files changed, 58 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp b/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp new file mode 100644 index 0000000000..a4204b21e6 --- /dev/null +++ b/src/backends/neon/workloads/NeonSpaceToDepthWorkload.cpp @@ -0,0 +1,58 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonSpaceToDepthWorkload.hpp" +#include "NeonWorkloadUtils.hpp" +#include <ResolveType.hpp> + +namespace armnn +{ + +using namespace armcomputetensorutils; + +arm_compute::Status NeonSpaceToDepthWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const SpaceToDepthDescriptor& 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::NESpaceToDepthLayer::validate(&aclInput, &aclOutput, blockSize); +} + +NeonSpaceToDepthWorkload::NeonSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& desc, + const WorkloadInfo& info) + : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info) +{ + m_Data.ValidateInputsOutputs("NeonSpaceToDepthWorkload", 1, 1); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + + arm_compute::ITensor& input = boost::polymorphic_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_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + output.info()->set_data_layout(aclDataLayout); + + m_Layer.reset(new arm_compute::NESpaceToDepthLayer()); + m_Layer->configure(&input, &output, blockSize); + m_Layer->prepare(); +} + +void NeonSpaceToDepthWorkload::Execute() const +{ + if (m_Layer) + { + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSpaceToDepthWorkload_Execute"); + m_Layer->run(); + } +} + +} //namespace armnn
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