cps-16-mic

Ускорение обучения глубокой нейронной сети путем оптимизации алгоритма для запуска на MIC архитектуре
git clone https://git.igankevich.com/cps-16-mic.git
Log | Files | Refs

mlp.0.log (1298B)


      1 load norm file ......
      2 norm file load
      3 parameters input:
      4 fea_file:             ../dataset/fea_debug.pfile
      5 norm_file:            ../dataset/train.norm
      6 targ_file:            ../dataset/lab_debug.pfile
      7 outwts_file:          ./mlp.0.wts
      8 log_file:             ./mlp.0.log
      9 initwts_file:         ../dataset/mlp.0.wts
     10 train_sent_range:     0-1000
     11 cv_sent_range:        0-0
     12 fea_dim:	      39
     13 fea_context:          11
     14 bunchsize:	      1024
     15 train_cache:          102400
     16 init_randem_seed:     27863875
     17 targ_offset:          5
     18 init_randem_weight_max:		  0.100000
     19 init_randem_weight_min:		  -0.100000
     20 init_randem_bias_max:		  0.100000
     21 init_randem_bias_min:		  -0.100000
     22 learnrate:		          0.768000
     23 layersizes:		          429,2048,2048,2048,2048,2048,2048,8991,
     24 nmod:		                  1
     25 remainder:		          0
     26 discard_prob:		          0.000000
     27 discardLabs:		          
     28 Please check...
     29 Get pfile info over: Training data has 390729 frames, 1001 sentences.
     30 Get chunk info over: Training sentences have 4 chunks, 380689 samples.
     31 Get cv chunk info over: CV sentences have 1 chunks, 73 samples.
     32 start training:
     33 --chunk(0) : containing samples 72704
     34 --chunk(1) : containing samples 102400
     35 --chunk(2) : containing samples 102400
     36 --chunk(3) : containing samples 102400
     37 training over
     38 total time cost: 2427257.000000ms