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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp new file mode 100644 index 0000000000..27c37e9425 --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonActivationUint8Workload.cpp @@ -0,0 +1,42 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "NeonActivationUint8Workload.hpp" +#include "backends/ArmComputeUtils.hpp" +#include "backends/NeonLayerSupport.hpp" + +namespace armnn +{ +NeonActivationUint8Workload::NeonActivationUint8Workload(const ActivationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Uint8Workload<ActivationQueueDescriptor>(descriptor, info) +{ + + std::string reasonIfUnsupported; + if (!IsNeonActivationUint8Supported(&reasonIfUnsupported, m_Data.m_Parameters)) + { + throw InvalidArgumentException(reasonIfUnsupported); + } + + // Only BoundedReLu is supported (see IsNeonActivationUint8Supported) + arm_compute::ActivationLayerInfo layerInfo(arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, + m_Data.m_Parameters.m_A, + m_Data.m_Parameters.m_B); + + m_Data.ValidateInputsOutputs("NeonActivationUint8Workload", 1, 1); + + arm_compute::ITensor& input = static_cast<NeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = static_cast<NeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + m_ActivationLayer.configure(&input, &output, layerInfo); +} + +void NeonActivationUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonActivationUint8Workload_Execute"); + + m_ActivationLayer.run(); +} +} //namespace armnn |