Performance fix for ensemble classifier inference

oneapi-src · Aug 22, 2024 · 524cf98 · 524cf98
1 parent 2b18f4d
commit 524cf98
Showing 1 changed file with 3 additions and 1 deletion.
diff --git a/...orithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i b/...orithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i
@@ -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); });