test_fc.protostr

type: "nn"
layers {
  name: "data"
  type: "data"
  size: 100
  active_type: ""
}
layers {
  name: "__trans_layer_0__"
  type: "trans"
  size: 100
  active_type: ""
  inputs {
    input_layer_name: "data"
  }
}
layers {
  name: "__fc_layer_0__"
  type: "fc"
  size: 100
  active_type: "tanh"
  inputs {
    input_layer_name: "__trans_layer_0__"
    input_parameter_name: "___fc_layer_0__.w0"
  }
}
layers {
  name: "mask"
  type: "data"
  size: 100
  active_type: ""
}
layers {
  name: "__selective_fc_layer_0__"
  type: "selective_fc"
  size: 100
  active_type: "sigmoid"
  inputs {
    input_layer_name: "data"
    input_parameter_name: "___selective_fc_layer_0__.w0"
  }
  inputs {
    input_layer_name: "mask"
  }
  bias_parameter_name: "___selective_fc_layer_0__.wbias"
  selective_fc_pass_generation: false
  has_selected_colums: true
  selective_fc_full_mul_ratio: 0.019999999553
}
parameters {
  name: "___fc_layer_0__.w0"
  size: 10000
  initial_mean: 0.0
  initial_std: 0.10000000149
  dims: 100
  dims: 100
  initial_strategy: 0
  initial_smart: true
}
parameters {
  name: "___selective_fc_layer_0__.w0"
  size: 10000
  initial_mean: 0.0
  initial_std: 0.10000000149
  dims: 100
  dims: 100
  initial_strategy: 0
  initial_smart: true
  is_sparse: false
}
parameters {
  name: "___selective_fc_layer_0__.wbias"
  size: 100
  initial_mean: 0.0
  initial_std: 0.0
  dims: 1
  dims: 100
  initial_strategy: 0
  initial_smart: false
}
input_layer_names: "data"
input_layer_names: "mask"
output_layer_names: "__fc_layer_0__"
output_layer_names: "__selective_fc_layer_0__"
sub_models {
  name: "root"
  layer_names: "data"
  layer_names: "__trans_layer_0__"
  layer_names: "__fc_layer_0__"
  layer_names: "mask"
  layer_names: "__selective_fc_layer_0__"
  input_layer_names: "data"
  input_layer_names: "mask"
  output_layer_names: "__fc_layer_0__"
  output_layer_names: "__selective_fc_layer_0__"
  is_recurrent_layer_group: false
}