Paddle/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.protostr

type: "nn"
layers {
  name: "data"
  type: "data"
  size: 100
  active_type: ""
}
layers {
  name: "label"
  type: "data"
  size: 10
  active_type: ""
}
layers {
  name: "__hsigmoid_0__"
  type: "hsigmoid"
  size: 1
  active_type: ""
  inputs {
    input_layer_name: "data"
    input_parameter_name: "___hsigmoid_0__.w0"
  }
  inputs {
    input_layer_name: "label"
  }
  bias_parameter_name: "___hsigmoid_0__.wbias"
  num_classes: 10
}
parameters {
  name: "___hsigmoid_0__.w0"
  size: 900
  initial_mean: 0.0
  initial_std: 0.333333343267
  dims: 9
  dims: 100
  initial_strategy: 0
  initial_smart: true
}
parameters {
  name: "___hsigmoid_0__.wbias"
  size: 9
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 9
  initial_strategy: 0
  initial_smart: false
}
input_layer_names: "data"
input_layer_names: "label"
output_layer_names: "__hsigmoid_0__"
sub_models {
  name: "root"
  layer_names: "data"
  layer_names: "label"
  layer_names: "__hsigmoid_0__"
  input_layer_names: "data"
  input_layer_names: "label"
  output_layer_names: "__hsigmoid_0__"
  is_recurrent_layer_group: false
}