text: class Config(object):
      def __init__(self):
          # feature dimension
          self.ndim = 129
          # number of segments per subsequence
          self.frame_seq_len = 29
          # number of channels
          self.nchannel = 1
          self.nclass = 5
  
          self.learning_rate = 1e-4
          self.l2_reg_lambda = 0.001
          self.training_epoch = 20
          self.batch_size = 32
  
          self.dropout_keep_prob_rnn = 0.75
  
          self.frame_step = self.frame_seq_len
          self.nhidden1 = 64
          self.nlayer1 = 1
          self.attention_size1 = 32
          #self.nhidden2 = 64
          #self.nlayer2 = 1
  
          self.nfilter = 20
          self.nfft = 256
          self.samplerate = 100
          self.lowfreq = 0
          self.highfreq = 50
  
          self.evaluate_every = 500
          self.checkpoint_every = 500
  