anirudh2290 commented on a change in pull request #15379: Use omp threads for 
cpu data loader
URL: https://github.com/apache/incubator-mxnet/pull/15379#discussion_r299316180
 
 

 ##########
 File path: src/io/iter_image_recordio_2.cc
 ##########
 @@ -134,19 +134,25 @@ inline void ImageRecordIOParser2<DType>::Init(
   record_param_.InitAllowUnknown(kwargs);
   batch_param_.InitAllowUnknown(kwargs);
   normalize_param_.InitAllowUnknown(kwargs);
+  PrefetcherParam prefetch_param;
+  prefetch_param.InitAllowUnknown(kwargs);
   n_parsed_ = 0;
   overflow = false;
   rnd_.seed(kRandMagic + record_param_.seed);
   int maxthread, threadget;
-  #pragma omp parallel
-  {
-    // be conservative, set number of real cores
-    maxthread = std::max(omp_get_num_procs(), 1);
-  }
-  param_.preprocess_threads = std::min(maxthread, param_.preprocess_threads);
-  #pragma omp parallel num_threads(param_.preprocess_threads)
-  {
-    threadget = omp_get_num_threads();
+  if (prefetch_param.ctx == PrefetcherParam::CtxType::kCPU) {
+    threadget = engine::OpenMP::Get()->GetRecommendedOMPThreadCount();
 
 Review comment:
   Since prefetching is happening in parallel with op execution. won't this 
cause too many threads to be launched when we are also useing openmp threads to 
execute operators.

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