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author | arovir01 <Aron.Virginas-Tar@arm.com> | 2018-08-31 15:26:35 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-09-17 17:21:25 +0100 |
commit | 9e53a35b66b1ec7ceee7c712380a13596175b83b (patch) | |
tree | d40bf9f27c799184324b6ab91cbb1a546fc4012e /src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp | |
parent | 5540d2f379b15503269d1b9b5fbe8fbafd160d2e (diff) | |
download | armnn-9e53a35b66b1ec7ceee7c712380a13596175b83b.tar.gz |
IVGCVSW-1784: Rename float32 workloads for ACL
Change-Id: I98bdfe9cb12c663d1d5cfa456e2cc967d70ab22b
Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp')
-rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp new file mode 100644 index 0000000000..981e63ea55 --- /dev/null +++ b/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp @@ -0,0 +1,32 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#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 + |