fw_T16_conv_64_d1.prototxt

layer {
  name: "label"
  type: "Input"
  top: "label"
  input_param {
    shape {
      dim: 100
      dim: 1
      dim: 42
      dim: 42
    }
  }
}
layer {
  bottom: "label"
  top: "data"
  name: "add_noise"
  type: "Noise"
  noise_param {
    filler_param {
      type: "gaussian"
      mean: 0
    }
    #std: 0.09803922 #sigma 25
    #std: 0.058823 #sigma 15
    std: 0.19607843 #sigma 50
  }
}
layer {
  name: "init_fc"
  type: "Convolution"
  bottom: "data"
  top: "init_fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "init_norm"
  type: "ConvConjugateNorm"
  bottom: "init_fc"
  top: "init_norm"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "init_pool"
  type: "HolderPool"
  bottom: "init_norm"
  top: "init_pool"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "init_scale"
  type: "SigScale"
  bottom: "init_pool"
  top: "init_scale"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: 10.0
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "fc_1"
  type: "Convolution"
  bottom: "init_scale"
  top: "fc_1"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_1"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_1"
  top: "fuse_1_1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_1"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_1"
  top: "norm_1"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_1"
  type: "HolderPool"
  bottom: "norm_1"
  top: "pool_1"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_1"
  type: "SigScale"
  bottom: "pool_1"
  top: "scale_1"
  param {
    name: "t_1"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: 0.69314718056
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_1"
  type: "SigScale"
  bottom: "init_scale"
  top: "scale_c_1"
  param {
    name: "t_1"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: 0.69314718056
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_1"
  type: "Eltwise"
  bottom: "scale_1"
  bottom: "scale_c_1"
  top: "fuse_2_1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_2"
  type: "Convolution"
  bottom: "fuse_2_1"
  top: "fc_2"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_2"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_2"
  top: "fuse_1_2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_2"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_2"
  top: "norm_2"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_2"
  type: "HolderPool"
  bottom: "norm_2"
  top: "pool_2"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_2"
  type: "SigScale"
  bottom: "pool_2"
  top: "scale_2"
  param {
    name: "t_2"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.0
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_2"
  type: "SigScale"
  bottom: "fuse_2_1"
  top: "scale_c_2"
  param {
    name: "t_2"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.0
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_2"
  type: "Eltwise"
  bottom: "scale_2"
  bottom: "scale_c_2"
  top: "fuse_2_2"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_3"
  type: "Convolution"
  bottom: "fuse_2_2"
  top: "fc_3"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_3"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_3"
  top: "fuse_1_3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_3"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_3"
  top: "norm_3"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_3"
  type: "HolderPool"
  bottom: "norm_3"
  top: "pool_3"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_3"
  type: "SigScale"
  bottom: "pool_3"
  top: "scale_3"
  param {
    name: "t_3"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.405465108108
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_3"
  type: "SigScale"
  bottom: "fuse_2_2"
  top: "scale_c_3"
  param {
    name: "t_3"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.405465108108
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_3"
  type: "Eltwise"
  bottom: "scale_3"
  bottom: "scale_c_3"
  top: "fuse_2_3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_4"
  type: "Convolution"
  bottom: "fuse_2_3"
  top: "fc_4"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_4"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_4"
  top: "fuse_1_4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_4"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_4"
  top: "norm_4"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_4"
  type: "HolderPool"
  bottom: "norm_4"
  top: "pool_4"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_4"
  type: "SigScale"
  bottom: "pool_4"
  top: "scale_4"
  param {
    name: "t_4"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.69314718056
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_4"
  type: "SigScale"
  bottom: "fuse_2_3"
  top: "scale_c_4"
  param {
    name: "t_4"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.69314718056
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_4"
  type: "Eltwise"
  bottom: "scale_4"
  bottom: "scale_c_4"
  top: "fuse_2_4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_5"
  type: "Convolution"
  bottom: "fuse_2_4"
  top: "fc_5"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_5"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_5"
  top: "fuse_1_5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_5"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_5"
  top: "norm_5"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_5"
  type: "HolderPool"
  bottom: "norm_5"
  top: "pool_5"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_5"
  type: "SigScale"
  bottom: "pool_5"
  top: "scale_5"
  param {
    name: "t_5"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.916290731874
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_5"
  type: "SigScale"
  bottom: "fuse_2_4"
  top: "scale_c_5"
  param {
    name: "t_5"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -0.916290731874
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_5"
  type: "Eltwise"
  bottom: "scale_5"
  bottom: "scale_c_5"
  top: "fuse_2_5"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_6"
  type: "Convolution"
  bottom: "fuse_2_5"
  top: "fc_6"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_6"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_6"
  top: "fuse_1_6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_6"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_6"
  top: "norm_6"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_6"
  type: "HolderPool"
  bottom: "norm_6"
  top: "pool_6"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_6"
  type: "SigScale"
  bottom: "pool_6"
  top: "scale_6"
  param {
    name: "t_6"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.09861228867
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_6"
  type: "SigScale"
  bottom: "fuse_2_5"
  top: "scale_c_6"
  param {
    name: "t_6"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.09861228867
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_6"
  type: "Eltwise"
  bottom: "scale_6"
  bottom: "scale_c_6"
  top: "fuse_2_6"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_7"
  type: "Convolution"
  bottom: "fuse_2_6"
  top: "fc_7"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_7"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_7"
  top: "fuse_1_7"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_7"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_7"
  top: "norm_7"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_7"
  type: "HolderPool"
  bottom: "norm_7"
  top: "pool_7"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_7"
  type: "SigScale"
  bottom: "pool_7"
  top: "scale_7"
  param {
    name: "t_7"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.2527629685
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_7"
  type: "SigScale"
  bottom: "fuse_2_6"
  top: "scale_c_7"
  param {
    name: "t_7"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.2527629685
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_7"
  type: "Eltwise"
  bottom: "scale_7"
  bottom: "scale_c_7"
  top: "fuse_2_7"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_8"
  type: "Convolution"
  bottom: "fuse_2_7"
  top: "fc_8"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_8"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_8"
  top: "fuse_1_8"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_8"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_8"
  top: "norm_8"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_8"
  type: "HolderPool"
  bottom: "norm_8"
  top: "pool_8"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_8"
  type: "SigScale"
  bottom: "pool_8"
  top: "scale_8"
  param {
    name: "t_8"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.38629436112
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_8"
  type: "SigScale"
  bottom: "fuse_2_7"
  top: "scale_c_8"
  param {
    name: "t_8"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.38629436112
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_8"
  type: "Eltwise"
  bottom: "scale_8"
  bottom: "scale_c_8"
  top: "fuse_2_8"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_9"
  type: "Convolution"
  bottom: "fuse_2_8"
  top: "fc_9"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_9"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_9"
  top: "fuse_1_9"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_9"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_9"
  top: "norm_9"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_9"
  type: "HolderPool"
  bottom: "norm_9"
  top: "pool_9"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_9"
  type: "SigScale"
  bottom: "pool_9"
  top: "scale_9"
  param {
    name: "t_9"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.50407739678
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_9"
  type: "SigScale"
  bottom: "fuse_2_8"
  top: "scale_c_9"
  param {
    name: "t_9"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.50407739678
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_9"
  type: "Eltwise"
  bottom: "scale_9"
  bottom: "scale_c_9"
  top: "fuse_2_9"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_10"
  type: "Convolution"
  bottom: "fuse_2_9"
  top: "fc_10"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_10"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_10"
  top: "fuse_1_10"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_10"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_10"
  top: "norm_10"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_10"
  type: "HolderPool"
  bottom: "norm_10"
  top: "pool_10"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_10"
  type: "SigScale"
  bottom: "pool_10"
  top: "scale_10"
  param {
    name: "t_10"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.60943791243
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_10"
  type: "SigScale"
  bottom: "fuse_2_9"
  top: "scale_c_10"
  param {
    name: "t_10"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.60943791243
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_10"
  type: "Eltwise"
  bottom: "scale_10"
  bottom: "scale_c_10"
  top: "fuse_2_10"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_11"
  type: "Convolution"
  bottom: "fuse_2_10"
  top: "fc_11"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_11"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_11"
  top: "fuse_1_11"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_11"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_11"
  top: "norm_11"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_11"
  type: "HolderPool"
  bottom: "norm_11"
  top: "pool_11"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_11"
  type: "SigScale"
  bottom: "pool_11"
  top: "scale_11"
  param {
    name: "t_11"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.70474809224
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_11"
  type: "SigScale"
  bottom: "fuse_2_10"
  top: "scale_c_11"
  param {
    name: "t_11"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.70474809224
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_11"
  type: "Eltwise"
  bottom: "scale_11"
  bottom: "scale_c_11"
  top: "fuse_2_11"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_12"
  type: "Convolution"
  bottom: "fuse_2_11"
  top: "fc_12"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_12"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_12"
  top: "fuse_1_12"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_12"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_12"
  top: "norm_12"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_12"
  type: "HolderPool"
  bottom: "norm_12"
  top: "pool_12"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_12"
  type: "SigScale"
  bottom: "pool_12"
  top: "scale_12"
  param {
    name: "t_12"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.79175946923
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_12"
  type: "SigScale"
  bottom: "fuse_2_11"
  top: "scale_c_12"
  param {
    name: "t_12"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.79175946923
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_12"
  type: "Eltwise"
  bottom: "scale_12"
  bottom: "scale_c_12"
  top: "fuse_2_12"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_13"
  type: "Convolution"
  bottom: "fuse_2_12"
  top: "fc_13"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_13"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_13"
  top: "fuse_1_13"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_13"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_13"
  top: "norm_13"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_13"
  type: "HolderPool"
  bottom: "norm_13"
  top: "pool_13"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_13"
  type: "SigScale"
  bottom: "pool_13"
  top: "scale_13"
  param {
    name: "t_13"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.8718021769
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_13"
  type: "SigScale"
  bottom: "fuse_2_12"
  top: "scale_c_13"
  param {
    name: "t_13"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.8718021769
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_13"
  type: "Eltwise"
  bottom: "scale_13"
  bottom: "scale_c_13"
  top: "fuse_2_13"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_14"
  type: "Convolution"
  bottom: "fuse_2_13"
  top: "fc_14"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_14"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_14"
  top: "fuse_1_14"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_14"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_14"
  top: "norm_14"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_14"
  type: "HolderPool"
  bottom: "norm_14"
  top: "pool_14"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_14"
  type: "SigScale"
  bottom: "pool_14"
  top: "scale_14"
  param {
    name: "t_14"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.94591014906
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_14"
  type: "SigScale"
  bottom: "fuse_2_13"
  top: "scale_c_14"
  param {
    name: "t_14"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -1.94591014906
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_14"
  type: "Eltwise"
  bottom: "scale_14"
  bottom: "scale_c_14"
  top: "fuse_2_14"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "fc_15"
  type: "Convolution"
  bottom: "fuse_2_14"
  top: "fc_15"
  param {
    #name: "fc_1"
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    pad:1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
      variance_norm: AVERAGE
    }
  }
}
layer {
  name: "fuse_1_15"
  type: "Eltwise"
  bottom: "init_fc"
  bottom: "fc_15"
  top: "fuse_1_15"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "norm_15"
  type: "ConvConjugateNorm"
  bottom: "fuse_1_15"
  top: "norm_15"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  conjugate_norm_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    fc: false
  }
}
layer {
  name: "pool_15"
  type: "HolderPool"
  bottom: "norm_15"
  top: "pool_15"
  param {
    name: "p"
    lr_mult: 0
    decay_mult: 0
  }
  holder_pool_param {
    filler {
      type: "constant"
      value: 1.5
    }
    channel_shared: true
    d: 1
    fc: false
  }
}
layer {
  name: "scale_15"
  type: "SigScale"
  bottom: "pool_15"
  top: "scale_15"
  param {
    name: "t_15"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -2.01490302054
    }
    channel_shared: true
    counterpart: false
    fc: false
  }
}
layer {
  name: "scale_c_15"
  type: "SigScale"
  bottom: "fuse_2_14"
  top: "scale_c_15"
  param {
    name: "t_15"
    lr_mult: 0
    decay_mult: 0
  }
  sig_scale_param {
    filler {
      type: "constant"
      value: -2.01490302054
    }
    channel_shared: true
    counterpart: true
    fc: false
  }
}
layer {
  name: "fuse_2_15"
  type: "Eltwise"
  bottom: "scale_15"
  bottom: "scale_c_15"
  top: "fuse_2_15"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "map_fc"
  type: "Convolution"
  bottom: "fuse_2_15"
  top: "map_fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1
    kernel_size: 3
    pad: 1
    stride: 1
    bias_term: false
    weight_filler {
      type: "msra"
    }
  }
}

layer {
  name: "loss"
  type: "EuclideanLoss"
  bottom: "map_fc"
  bottom: "label"
  top: "loss"
  loss_weight: 1
  loss_param{
    normalization: BATCH_SIZE
    #normalize: false
  }
}