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Diffstat (limited to 'src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | 41 |
1 files changed, 0 insertions, 41 deletions
diff --git a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp deleted file mode 100644 index a4690a7985..0000000000 --- a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp +++ /dev/null @@ -1,41 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "NeonSoftmaxFloatWorkload.hpp" - -#include "NeonWorkloadUtils.hpp" - -#include <aclCommon/ArmComputeUtils.hpp> -#include <armnn/utility/PolymorphicDowncast.hpp> - -#include <arm_compute/runtime/NEON/functions/NESoftmaxLayer.h> - -namespace armnn -{ - -NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor, - const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) - : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info) -{ - m_Data.ValidateInputsOutputs("NeonSoftmaxFloatWorkload", 1, 1); - - // The ArmCompute softmax layer uses 2D input/output tensors, so flatten the first three dimensions. - arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - - auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager); - unsigned int aclAxis = ComputeSoftmaxAclAxis(m_Data.m_Parameters, info.m_InputTensorInfos[0]); - layer->configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis); - m_SoftmaxLayer.reset(layer.release()); -} - -void NeonSoftmaxFloatWorkload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute"); - m_SoftmaxLayer->run(); -} - -} //namespace armnn - |