wsj: exposing i-vector #jobs config to the master script,

egs/wsj/s5/local/chain/tuning/run_tdnn_1g.sh

@@ -32,7 +32,14 @@ train_set=train_si284
 test_sets="test_dev93 test_eval92"
 gmm=tri4b # this is the source gmm-dir that we'll use for alignments; it
  # should have alignments for the specified training data.
+
 num_threads_ubm=32
+
+nj_extractor=10
+# It runs a JOB with '-pe smp N', where N=$[threads*processes]
+num_threads_extractor=4
+num_processes_extractor=4
+
 nnet3_affix= # affix for exp dirs, e.g. it was _cleaned in tedlium.
 
 # Options which are not passed through to run_ivector_common.sh
@@ -79,6 +86,9 @@ local/nnet3/run_ivector_common.sh \
  --stage $stage --nj $nj \
  --train-set $train_set --gmm $gmm \
  --num-threads-ubm $num_threads_ubm \
+ --nj-extractor $nj_extractor \
+ --num-processes-extractor $num_processes_extractor \
+ --num-threads-extractor $num_threads_extractor \
  --nnet3-affix "$nnet3_affix"
 
 

egs/wsj/s5/local/nnet3/run_ivector_common.sh

@@ -16,6 +16,12 @@ gmm=tri4b # This specifies a GMM-dir from the features of the typ
  # it should contain alignments for 'train_set'.
 
 num_threads_ubm=32
+
+nj_extractor=10
+# It runs a JOB with '-pe smp N', where N=$[threads*processes]
+num_processes_extractor=4
+num_threads_extractor=4
+
 nnet3_affix= # affix for exp/nnet3 directory to put iVector stuff in (e.g.
  # in the tedlium recip it's _cleaned).
 
@@ -110,7 +116,8 @@ if [ $stage -le 4 ]; then
  # can be sensitive to the amount of data. The script defaults to an iVector dimension of
  # 100.
  echo "$0: training the iVector extractor"
- steps/online/nnet2/train_ivector_extractor.sh --cmd "$train_cmd" --nj 10 \
+ steps/online/nnet2/train_ivector_extractor.sh --cmd "$train_cmd" \
+ --nj $nj_extractor --num-threads $num_threads_extractor --num-processes $num_processes_extractor \
  data/${train_set}_sp_hires exp/nnet3${nnet3_affix}/diag_ubm exp/nnet3${nnet3_affix}/extractor || exit 1;
 fi