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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonActivationFloat32Workload.cpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonActivationFloat32Workload.cpp | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonActivationFloat32Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonActivationFloat32Workload.cpp new file mode 100644 index 0000000000..39e55d5761 --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonActivationFloat32Workload.cpp @@ -0,0 +1,34 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "NeonActivationFloat32Workload.hpp" +#include "backends/ArmComputeUtils.hpp" + + +namespace armnn +{ +NeonActivationFloat32Workload::NeonActivationFloat32Workload(const ActivationQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float32Workload<ActivationQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonActivationFloat32Workload", 1, 1); + + const arm_compute::ActivationLayerInfo activationLayerInfo = + ConvertActivationDescriptorToAclActivationLayerInfo(m_Data.m_Parameters); + + arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + m_ActivationLayer.configure(&input, &output, activationLayerInfo); +} + +void NeonActivationFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "NeonActivationFloat32Workload_Execute"); + m_ActivationLayer.run(); +} + +} //namespace armnn + |