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Diffstat (limited to 'src/backends/neon/workloads/NeonTileWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonTileWorkload.cpp | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonTileWorkload.cpp b/src/backends/neon/workloads/NeonTileWorkload.cpp new file mode 100644 index 0000000000..9b699ef4f1 --- /dev/null +++ b/src/backends/neon/workloads/NeonTileWorkload.cpp @@ -0,0 +1,46 @@ +// +// Copyright © 2023 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// +#include "NeonTileWorkload.hpp" +#include "NeonWorkloadUtils.hpp" +#include <aclCommon/ArmComputeUtils.hpp> +#include <vector> +#include <algorithm> + +using namespace armnn::armcomputetensorutils; +namespace armnn +{ +arm_compute::Status NeonTileWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const TileDescriptor& descriptor) +{ + const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output); + + std::vector<unsigned int> aclMultiples = descriptor.m_Multiples; + std::reverse(aclMultiples.begin(),aclMultiples.end()); + + return arm_compute::NETile::validate(&aclInput, &aclOutput, aclMultiples); +} + +NeonTileWorkload::NeonTileWorkload(const armnn::TileQueueDescriptor& descriptor, + const armnn::WorkloadInfo& info) + : BaseWorkload<TileQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonTileWorkload", 1, 1); + + std::vector<unsigned int> aclMultiples = descriptor.m_Parameters.m_Multiples; + std::reverse(aclMultiples.begin(),aclMultiples.end()); + + arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + m_Layer.configure(&input, &output, aclMultiples); +} + +void NeonTileWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonTileWorkload_Execute", this->GetGuid()); + m_Layer.run(); +} +} //namespace armnn
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