type: "nn"
layers {
  name: "input_seq"
  type: "data"
  size: 128
  active_type: ""
}
layers {
  name: "__fc_layer_0__"
  type: "fc"
  size: 1
  active_type: "exponential"
  inputs {
    input_layer_name: "input_seq"
    input_parameter_name: "___fc_layer_0__.w0"
  }
  bias_parameter_name: "___fc_layer_0__.wbias"
}
layers {
  name: "__kmax_seq_score_layer_0__"
  type: "kmax_seq_score"
  active_type: ""
  inputs {
    input_layer_name: "__fc_layer_0__"
  }
  beam_size: 5
}
parameters {
  name: "___fc_layer_0__.w0"
  size: 128
  initial_mean: 0.0
  initial_std: 0.0883883476483
  dims: 128
  dims: 1
  initial_strategy: 0
  initial_smart: true
}
parameters {
  name: "___fc_layer_0__.wbias"
  size: 1
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 1
  initial_strategy: 0
  initial_smart: false
}
input_layer_names: "input_seq"
output_layer_names: "__kmax_seq_score_layer_0__"
sub_models {
  name: "root"
  layer_names: "input_seq"
  layer_names: "__fc_layer_0__"
  layer_names: "__kmax_seq_score_layer_0__"
  input_layer_names: "input_seq"
  output_layer_names: "__kmax_seq_score_layer_0__"
  is_recurrent_layer_group: false
}

