hpcs-16-mic-v2

Speedup of deep neural network learning on the MIC-architecture
git clone https://git.igankevich.com/hpcs-16-mic-v2.git
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dnn_config_tr.cfg (604B)


      1 #feature argument
      2 fea_dim     = 39
      3 fea_context = 11
      4 
      5 #struct of DNN ; the first one is fea_dim*fea_context
      6 dnn_layers  = {429, 2048, 2048, 2048, 2048, 2048, 2048, 8991}
      7 
      8 #bunch and chunck size
      9 bunchsize   = 1024
     10 chuncksize  = 102400
     11 
     12 #random sedd
     13 init_random_seed = 27863875
     14 
     15 #learn_rate
     16 learn_rate  = 0.768
     17 
     18 # full path name
     19 file_norm   = ../dataset/train.norm
     20 pfile_fea   = ../dataset/fea_tr.pfile
     21 pfile_lab   = ../dataset/lab_tr.pfile
     22 init_wts    = ../dataset/mlp.0.wts
     23 
     24 output_wts  = ./mlp
     25 output_log  = ./mlp
     26 
     27 # train range
     28 train_bp_range = 0-3571 #for training
     29 #train_bp_range = 0-20 #for training