Re: [Kaldi-users] Error of Karel's script

[Ming Tu <tum...@gm...>]

It works again and I have the results now. Just delete "--use-silphones
true". Thanks!

On Tue, Nov 11, 2014 at 1:49 PM, Ming Tu <tum...@gm...> wrote:

> Thanks for your immediate reply. I will try.
>
> On Tue, Nov 11, 2014 at 1:45 PM, Daniel Povey <dp...@gm...> wrote:
>
>> Probably the option --use-silphones was removed from the script but
>> remains in the calling example.  Just remove the option for now and
>> run from the step that failed.
>> Karel, you might want to check in a fix for this.
>> Dan
>>
>>
>> On Tue, Nov 11, 2014 at 3:40 PM, Ming Tu <tum...@gm...> wrote:
>> > Hi everyone,
>> >
>> > I have another error when running to Karel's script. The log is:
>> >
>> >
>> ============================================================================
>> >                DNN Hybrid Training & Decoding (Karel's recipe)
>> >
>> ============================================================================
>> > steps/nnet/make_fmllr_feats.sh --nj 10 --cmd run.pl --transform-dir
>> > exp/tri3/decode_test data-fmllr-tri3/test data/test exp/tri3
>> > data-fmllr-tri3/test/log data-fmllr-tri3/test/data
>> > steps/nnet/make_fmllr_feats.sh: feature type is lda_fmllr
>> > steps/nnet/make_fmllr_feats.sh: Done!, type lda_fmllr, data/test -->
>> > data-fmllr-tri3/test, using : raw-trans None, gmm exp/tri3, trans
>> > exp/tri3/decode_test
>> > steps/nnet/make_fmllr_feats.sh --nj 10 --cmd run.pl --transform-dir
>> > exp/tri3/decode_dev data-fmllr-tri3/dev data/dev exp/tri3
>> > data-fmllr-tri3/dev/log data-fmllr-tri3/dev/data
>> > steps/nnet/make_fmllr_feats.sh: feature type is lda_fmllr
>> > steps/nnet/make_fmllr_feats.sh: Done!, type lda_fmllr, data/dev -->
>> > data-fmllr-tri3/dev, using : raw-trans None, gmm exp/tri3, trans
>> > exp/tri3/decode_dev
>> > steps/nnet/make_fmllr_feats.sh --nj 10 --cmd run.pl --transform-dir
>> > exp/tri3_ali data-fmllr-tri3/train data/train exp/tri3
>> > data-fmllr-tri3/train/log data-fmllr-tri3/train/data
>> > steps/nnet/make_fmllr_feats.sh: feature type is lda_fmllr
>> > steps/nnet/make_fmllr_feats.sh: Done!, type lda_fmllr, data/train -->
>> > data-fmllr-tri3/train, using : raw-trans None, gmm exp/tri3, trans
>> > exp/tri3_ali
>> > utils/subset_data_dir_tr_cv.sh data-fmllr-tri3/train
>> > data-fmllr-tri3/train_tr90 data-fmllr-tri3/train_cv10
>> > /home/ming/kaldi-trunk/egs/timit/s5/utils/subset_data_dir.sh: reducing
>> #utt
>> > from 3696 to 3320
>> > /home/ming/kaldi-trunk/egs/timit/s5/utils/subset_data_dir.sh: reducing
>> #utt
>> > from 3696 to 376
>> > exp/dnn4_pretrain-dbn/log/rbm.3.log:progress: [6.69102 4.79589 4.59248
>> > 4.52796 4.49425 4.47364 4.45425 4.43291 4.41321 4.39089 4.37391 4.36182
>> > 4.33871 4.32305 4.30841 4.29437 4.27835 4.26338 4.24451 4.23261 4.22594
>> > 4.22015 ]
>> > exp/dnn4_pretrain-dbn/log/rbm.4.log:progress: [5.08679 3.75421 3.60121
>> > 3.55219 3.52727 3.51 3.49744 3.48335 3.47008 3.45369 3.44215 3.43454
>> 3.42081
>> > 3.40939 3.40078 3.39252 3.38437 3.3727 3.35988 3.35331 3.35172 3.34959 ]
>> > exp/dnn4_pretrain-dbn/log/rbm.5.log:progress: [4.87049 3.32658 3.14669
>> > 3.10413 3.08638 3.0761 3.0662 3.05728 3.04658 3.03451 3.02772 3.02178
>> > 3.01145 3.00338 2.99626 2.99111 2.98376 2.97654 2.96586 2.96138 2.96174
>> > 2.95995 ]
>> > exp/dnn4_pretrain-dbn/log/rbm.6.log:progress: [3.65318 2.68876 2.56733
>> > 2.52673 2.50761 2.49697 2.49113 2.4853 2.47522 2.46409 2.45972 2.45737
>> > 2.44803 2.4431 2.43837 2.43415 2.42968 2.42373 2.41349 2.41221 2.41144
>> > 2.41134 ]
>> >
>> > Pre-training finished.
>> > Removing features tmpdir /tmp/tmp.XQL9AHFHQJ @ ming
>> > train.ark
>> > # Accounting: time=5612 threads=1
>> > # Ended (code 0) at Tue Nov 11 05:18:32 MST 2014, elapsed time 5612
>> seconds
>> > # steps/nnet/pretrain_dbn.sh --hid-dim 1024 --rbm-iter 20
>> > data-fmllr-tri3/train exp/dnn4_pretrain-dbn
>> > # Started at Tue Nov 11 11:52:50 MST 2014
>> > #
>> > steps/nnet/pretrain_dbn.sh --hid-dim 1024 --rbm-iter 20
>> > data-fmllr-tri3/train exp/dnn4_pretrain-dbn
>> > # INFO
>> > steps/nnet/pretrain_dbn.sh : Pre-training Deep Belief Network as a
>> stack of
>> > RBMs
>> > dir       : exp/dnn4_pretrain-dbn
>> > Train-set : data-fmllr-tri3/train
>> > steps/nnet/pretrain_dbn.sh Skipping, already have
>> > exp/dnn4_pretrain-dbn/6.dbn
>> > # Accounting: time=0 threads=1
>> > # Ended (code 0) at Tue Nov 11 11:52:50 MST 2014, elapsed time 0 seconds
>> > ITERATION 13: TRAIN AVG.LOSS 0.7196, (lrate1.5625e-05), CROSSVAL
>> AVG.LOSS
>> > 1.4502, nnet accepted
>> > (nnet_6.dbn_dnn_iter13_learnrate1.5625e-05_tr0.7196_cv1.4502)
>> > finished, too small rel. improvement .0006753171
>> > Succeeded training the Neural Network :
>> exp/dnn4_pretrain-dbn_dnn/final.nnet
>> > Preparing feature transform with CNN layers for RBM pre-training.
>> > steps/nnet/train.sh successfuly finished.. exp/dnn4_pretrain-dbn_dnn
>> > Removing features tmpdir /tmp/tmp.rUdewHleyG @ ming
>> > cv.ark
>> > train.ark
>> > # Accounting: time=1015 threads=1
>> > # Ended (code 0) at Tue Nov 11 05:35:27 MST 2014, elapsed time 1015
>> seconds
>> > # steps/nnet/train.sh --feature-transform
>> > exp/dnn4_pretrain-dbn/final.feature_transform --dbn
>> > exp/dnn4_pretrain-dbn/6.dbn --hid-layers 0 --learn-rate 0.008
>> > data-fmllr-tri3/train_tr90 data-fmllr-tri3/train_cv10 data/lang
>> exp/tri3_ali
>> > exp/tri3_ali exp/dnn4_pretrain-dbn_dnn
>> > # Started at Tue Nov 11 11:52:50 MST 2014
>> > #
>> > steps/nnet/train.sh --feature-transform
>> > exp/dnn4_pretrain-dbn/final.feature_transform --dbn
>> > exp/dnn4_pretrain-dbn/6.dbn --hid-layers 0 --learn-rate 0.008
>> > data-fmllr-tri3/train_tr90 data-fmllr-tri3/train_cv10 data/lang
>> exp/tri3_ali
>> > exp/tri3_ali exp/dnn4_pretrain-dbn_dnn
>> >
>> > # INFO
>> > steps/nnet/train.sh : Training Neural Network
>> > dir       : exp/dnn4_pretrain-dbn_dnn
>> > Train-set : data-fmllr-tri3/train_tr90 exp/tri3_ali
>> > CV-set    : data-fmllr-tri3/train_cv10 exp/tri3_ali
>> >
>> > SKIPPING TRAINING... (steps/nnet/train.sh)
>> > nnet already trained : exp/dnn4_pretrain-dbn_dnn/final.nnet
>> >
>> (nnet/nnet_6.dbn_dnn_iter13_learnrate1.5625e-05_tr0.7196_cv1.4502_final_)
>> >
>> > # Accounting: time=0 threads=1
>> > # Ended (code 0) at Tue Nov 11 11:52:50 MST 2014, elapsed time 0 seconds
>> > steps/nnet/decode.sh --nj 20 --cmd run.pl --acwt 0.2 exp/tri3/graph
>> > data-fmllr-tri3/test exp/dnn4_pretrain-dbn_dnn/decode_test
>> > Warning: run.pl ignoring options "-pe smp 2 "
>> > steps/nnet/decode.sh --nj 20 --cmd run.pl --acwt 0.2 exp/tri3/graph
>> > data-fmllr-tri3/dev exp/dnn4_pretrain-dbn_dnn/decode_dev
>> > Warning: run.pl ignoring options "-pe smp 2 "
>> > steps/nnet/align.sh --nj 20 --cmd run.pl data-fmllr-tri3/train
>> data/lang
>> > exp/dnn4_pretrain-dbn_dnn exp/dnn4_pretrain-dbn_dnn_ali
>> > steps/nnet/align.sh: aligning data 'data-fmllr-tri3/train' using
>> nnet/model
>> > 'exp/dnn4_pretrain-dbn_dnn', putting alignments in
>> > 'exp/dnn4_pretrain-dbn_dnn_ali'
>> > steps/nnet/align.sh: done aligning data.
>> > steps/nnet/make_denlats.sh --nj 20 --cmd run.pl --acwt 0.2
>> --lattice-beam
>> > 10.0 --beam 18.0 data-fmllr-tri3/train data/lang
>> exp/dnn4_pretrain-dbn_dnn
>> > exp/dnn4_pretrain-dbn_dnn_denlats
>> > Making unigram grammar FST in exp/dnn4_pretrain-dbn_dnn_denlats/lang
>> > Compiling decoding graph in exp/dnn4_pretrain-dbn_dnn_denlats/dengraph
>> > Graph exp/dnn4_pretrain-dbn_dnn_denlats/dengraph/HCLG.fst already
>> exists:
>> > skipping graph creation.
>> > steps/nnet/make_denlats.sh: generating denlats from data
>> > 'data-fmllr-tri3/train', putting lattices in
>> > 'exp/dnn4_pretrain-dbn_dnn_denlats'
>> > Warning: run.pl ignoring options "-pe smp 2 "
>> > steps/nnet/make_denlats.sh: done generating denominator lattices.
>> > steps/nnet/train_mpe.sh --cmd run.pl --num-iters 6 --acwt 0.2
>> --do-smbr true
>> > --use-silphones true data-fmllr-tri3/train data/lang
>> > exp/dnn4_pretrain-dbn_dnn exp/dnn4_pretrain-dbn_dnn_ali
>> > exp/dnn4_pretrain-dbn_dnn_denlats exp/dnn4_pretrain-dbn_dnn_smbr
>> > steps/nnet/train_mpe.sh: invalid option --use-silphones
>> >
>> > Then the script just exited without exiting error. I checked
>> train_mpe.sh
>> > and found nothing about the option "--use-silphones".
>> >
>> > Now gcc is 4.9.1 because of ubuntu's update. I changed host_config.h of
>> CUDA
>> > driver so there is no error of "Unsupported gcc". Thanks.
>> >
>> > --
>> > Graduate Research Assistant
>> > Signal Analysis, Representation and Perception Lab
>> > Arizona State University, USA
>> >
>> >
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>
>
>
> --
> Graduate Research Assistant
> Signal Analysis, Representation and Perception Lab
> Arizona State University, USA
>



-- 
Graduate Research Assistant
Signal Analysis, Representation and Perception Lab
Arizona State University, USA