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_cv.0.log (1203B)


      1 load norm file ......
      2 norm file load
      3 parameters input:
      4 fea_file:             ../dataset/fea_cv.pfile
      5 norm_file:            ../dataset/train.norm
      6 targ_file:            ../dataset/lab_cv.pfile
      7 outwts_file:          ./mlp_cv.0.wts
      8 log_file:             ./mlp_cv.0.log
      9 initwts_file:         ./mlp.0.wts
     10 train_sent_range:     0-1574
     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 606451 frames, 1575 sentences.
     30 Get chunk info over: Training sentences have 6 chunks, 590651 samples.
     31 Get cv chunk info over: CV sentences have 1 chunks, 105 samples.
     32 starting cross validing:
     33 cv over
     34 total samples:589824 
     35 correct samples: 118248
     36 accuracy: 20.048016
     37 total time cost: 346942.500000ms