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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp b/src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp new file mode 100644 index 0000000000..a66b0343ff --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonSoftmaxUint8Workload.cpp @@ -0,0 +1,38 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "NeonSoftmaxUint8Workload.hpp" + + + +namespace armnn +{ +NeonSoftmaxUint8Workload::NeonSoftmaxUint8Workload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info) + : Uint8Workload<SoftmaxQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonSoftmaxUint8Workload", 1, 1); + + 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(); + + const auto outputQuantization = output.info()->quantization_info(); + + if ((outputQuantization.scale != (1.0f / 256.0f)) || (outputQuantization.offset != 0)) + { + throw InvalidArgumentException( + "Invalid quantization for output. Only scale = 1.0f / 256.0f and offset = 0 supported"); + } + + m_SoftmaxLayer.configure(&input, &output, descriptor.m_Parameters.m_Beta); +} + +void NeonSoftmaxUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuAcc, "ClSoftmaxUint8Workload_Execute"); + + m_SoftmaxLayer.run(); +} +} //namespace armnn + |