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Perf. fix for decision forest classifier inference #2881

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Aug 30, 2024
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Perf. fix for decision forest classifier inference #2881

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4 changes: 3 additions & 1 deletion ...orithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i
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Original file line number Diff line number Diff line change
Expand Up @@ -1045,7 +1045,9 @@ Status PredictClassificationTask<algorithmFPType, cpu>::predictAllPointsByAllTre
ReadRows<algorithmFPType, cpu> xBD(const_cast<NumericTable *>(_data), 0, nRowsOfRes);
DAAL_CHECK_BLOCK_STATUS(xBD);
const algorithmFPType * const aX = xBD.get();
if (numberOfTrees > _minTreesForThreading)
// TODO: investigate why higher level parallelism for trees causes performance degradation
// (excessive memory and CPU resources usage), especially on systems with high number of cores
if (false)
{
daal::static_tls<algorithmFPType *> tlsData([=]() { return service_scalable_calloc<algorithmFPType, cpu>(_nClasses * nRowsOfRes); });

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