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| author | David Beck <david.beck@arm.com> | 2018-09-24 15:59:27 +0100 |
|---|---|---|
| committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
| commit | 0dbe0ee25312b728d77383d11c465156e64ae757 (patch) | |
| tree | af37a9802e3ad551e1bf63f7636508cde7a41643 /src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | |
| parent | b4540bef0b0327683fe8e63f727c1212800dc2a9 (diff) | |
| download | armnn-0dbe0ee25312b728d77383d11c465156e64ae757.tar.gz | |
IVGCVSW-1899 : Neon backend folder structure
armnn:149855
Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa
Diffstat (limited to 'src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp new file mode 100644 index 0000000000..92e5139c1a --- /dev/null +++ b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp @@ -0,0 +1,32 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonSoftmaxFloatWorkload.hpp" + +namespace armnn +{ + +NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor, + const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) + : FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info) + , m_SoftmaxLayer(memoryManager) +{ + 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 = 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_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta); +} + +void NeonSoftmaxFloatWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute"); + m_SoftmaxLayer.run(); +} + +} //namespace armnn + |