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Diffstat (limited to 'src/backends/neon/workloads/NeonGreaterWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonGreaterWorkload.cpp | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonGreaterWorkload.cpp b/src/backends/neon/workloads/NeonGreaterWorkload.cpp new file mode 100644 index 0000000000..ece52d6465 --- /dev/null +++ b/src/backends/neon/workloads/NeonGreaterWorkload.cpp @@ -0,0 +1,49 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonGreaterWorkload.hpp" +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> + +namespace armnn +{ + +arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output) +{ + const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); + const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + return arm_compute::NEGreater::validate(&aclInput0, + &aclInput1, + &aclOutput); +} + +template <DataType T> +NeonGreaterWorkload<T>::NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info) + : MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonGreaterWorkload", 2, 1); + + arm_compute::ITensor& input0 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + m_GreaterLayer.configure(&input0, &input1, &output); +} + +template <DataType T> +void NeonGreaterWorkload<T>::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonGreaterWorkload_Execute"); + m_GreaterLayer.run(); +} + +template class NeonGreaterWorkload<DataType::Float32>; +template class NeonGreaterWorkload<DataType::QuantisedAsymm8>; + +} //namespace armnn
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