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-rw-r--r--src/backends/neon/workloads/NeonArgMinMaxWorkload.cpp10
1 files changed, 7 insertions, 3 deletions
diff --git a/src/backends/neon/workloads/NeonArgMinMaxWorkload.cpp b/src/backends/neon/workloads/NeonArgMinMaxWorkload.cpp
index e8d537f2ef..4b43052365 100644
--- a/src/backends/neon/workloads/NeonArgMinMaxWorkload.cpp
+++ b/src/backends/neon/workloads/NeonArgMinMaxWorkload.cpp
@@ -59,20 +59,24 @@ NeonArgMinMaxWorkload::NeonArgMinMaxWorkload(const ArgMinMaxQueueDescriptor& des
auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
int aclAxis = boost::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
+ auto layer = std::make_unique<arm_compute::NEArgMinMaxLayer>();
+
if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max)
{
- m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
+ layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
}
else
{
- m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
+ layer->configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
}
+
+ m_ArgMinMaxLayer.reset(layer.release());
}
void NeonArgMinMaxWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonArgMinMaxWorkload_Execute");
- m_ArgMinMaxLayer.run();
+ m_ArgMinMaxLayer->run();
}
} //namespace armnn