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Diffstat (limited to 'src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp')
| -rw-r--r-- | src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp | 32 |
1 files changed, 0 insertions, 32 deletions
diff --git a/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp b/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp deleted file mode 100644 index 92e5139c1a..0000000000 --- a/src/armnn/backends/NeonWorkloads/NeonSoftmaxFloatWorkload.cpp +++ /dev/null @@ -1,32 +0,0 @@ -// -// 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 - |