diff options
Diffstat (limited to 'src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp | 11 |
1 files changed, 8 insertions, 3 deletions
diff --git a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp index 92e5139c1a..d9c78bbd43 100644 --- a/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp +++ b/src/backends/neon/workloads/NeonSoftmaxFloatWorkload.cpp @@ -5,13 +5,16 @@ #include "NeonSoftmaxFloatWorkload.hpp" +#include "NeonWorkloadUtils.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_SoftmaxLayer(memoryManager) { m_Data.ValidateInputsOutputs("NeonSoftmaxFloatWorkload", 1, 1); @@ -19,13 +22,15 @@ NeonSoftmaxFloatWorkload::NeonSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& 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); + auto layer = std::make_unique<arm_compute::NESoftmaxLayer>(memoryManager); + layer->configure(&input, &output, m_Data.m_Parameters.m_Beta); + m_SoftmaxLayer.reset(layer.release()); } void NeonSoftmaxFloatWorkload::Execute() const { ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonSoftmaxFloatWorkload_Execute"); - m_SoftmaxLayer.run(); + m_SoftmaxLayer->run(); } } //namespace armnn |