shufflenet_1.0_g3.prototxt

name: "shufflenet_1.0_g3"
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data_input"
  top: "conv1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 24
    bias_term: false
    group: 1
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "conv1_bn"
  type: "BatchNorm"
  bottom: "conv1Conv_data"
  top: "conv1bn_ac_data"
}
layer {
  name: "conv1_scale"
  type: "Scale"
  bottom: "conv1bn_ac_data"
  top: "conv1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv1_relu"
  type: "ReLU"
  bottom: "conv1bn_ac_data"
  top: "conv1bn_ac_data"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1bn_ac_data"
  top: "pool1pool_data"
  pooling_param {
    pool: MAX
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "stage2_Unit1pool1"
  type: "Pooling"
  bottom: "pool1pool_data"
  top: "stage2_Unit1pool1pool_data"
  pooling_param {
    pool: AVE
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "stage2_Unit1GConv_1"
  type: "Convolution"
  bottom: "pool1pool_data"
  top: "stage2_Unit1GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 54
    bias_term: false
    group: 1
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit1GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit1GConv_1Conv_data"
  top: "stage2_Unit1GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit1GConv_1_scale"
  type: "Scale"
  bottom: "stage2_Unit1GConv_1bn_ac_data"
  top: "stage2_Unit1GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit1GConv_1_relu"
  type: "ReLU"
  bottom: "stage2_Unit1GConv_1bn_ac_data"
  top: "stage2_Unit1GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit1conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage2_Unit1GConv_1bn_ac_data"
  top: "stage2_Unit1conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "stage2_Unit1conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit1conv_depth_wiseConv_data"
  top: "stage2_Unit1conv_depth_wisebn_data"
}
layer {
  name: "stage2_Unit1conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage2_Unit1conv_depth_wisebn_data"
  top: "stage2_Unit1conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit1GConv_2"
  type: "Convolution"
  bottom: "stage2_Unit1conv_depth_wisebn_data"
  top: "stage2_Unit1GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 216
    bias_term: false
    group: 1
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit1GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit1GConv_2Conv_data"
  top: "stage2_Unit1GConv_2bn_data"
}
layer {
  name: "stage2_Unit1GConv_2_scale"
  type: "Scale"
  bottom: "stage2_Unit1GConv_2bn_data"
  top: "stage2_Unit1GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit1Concate"
  type: "Concat"
  bottom: "stage2_Unit1pool1pool_data"
  bottom: "stage2_Unit1GConv_2bn_data"
  top: "stage2_Unit1Concate"
}
layer {
  name: "stage2_Unit1Concate_relu"
  type: "ReLU"
  bottom: "stage2_Unit1Concate"
  top: "stage2_Unit1Concateac_data"
}
layer {
  name: "stage2_Unit2GConv_1"
  type: "Convolution"
  bottom: "stage2_Unit1Concateac_data"
  top: "stage2_Unit2GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 60
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit2GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit2GConv_1Conv_data"
  top: "stage2_Unit2GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit2GConv_1_scale"
  type: "Scale"
  bottom: "stage2_Unit2GConv_1bn_ac_data"
  top: "stage2_Unit2GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit2GConv_1_relu"
  type: "ReLU"
  bottom: "stage2_Unit2GConv_1bn_ac_data"
  top: "stage2_Unit2GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit2Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage2_Unit2GConv_1bn_ac_data"
  top: "stage2_Unit2Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage2_Unit2Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage2_Unit2Shufflepre_shuffle_data"
  top: "stage2_Unit2Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage2_Unit2Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage2_Unit2Shuffleshuffle_data"
  top: "stage2_Unit2Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage2_Unit2conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage2_Unit2Shufflepost_shuffle_data"
  top: "stage2_Unit2conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit2conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit2conv_depth_wiseConv_data"
  top: "stage2_Unit2conv_depth_wisebn_data"
}
layer {
  name: "stage2_Unit2conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage2_Unit2conv_depth_wisebn_data"
  top: "stage2_Unit2conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit2GConv_2"
  type: "Convolution"
  bottom: "stage2_Unit2conv_depth_wisebn_data"
  top: "stage2_Unit2GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit2GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit2GConv_2Conv_data"
  top: "stage2_Unit2GConv_2bn_data"
}
layer {
  name: "stage2_Unit2GConv_2_scale"
  type: "Scale"
  bottom: "stage2_Unit2GConv_2bn_data"
  top: "stage2_Unit2GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit2Add"
  type: "Eltwise"
  bottom: "stage2_Unit1Concateac_data"
  bottom: "stage2_Unit2GConv_2bn_data"
  top: "stage2_Unit2Add"
}
layer {
  name: "stage2_Unit2Add_relu"
  type: "ReLU"
  bottom: "stage2_Unit2Add"
  top: "stage2_Unit2Addac_data"
}
layer {
  name: "stage2_Unit3GConv_1"
  type: "Convolution"
  bottom: "stage2_Unit2Addac_data"
  top: "stage2_Unit3GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 60
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit3GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit3GConv_1Conv_data"
  top: "stage2_Unit3GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit3GConv_1_scale"
  type: "Scale"
  bottom: "stage2_Unit3GConv_1bn_ac_data"
  top: "stage2_Unit3GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit3GConv_1_relu"
  type: "ReLU"
  bottom: "stage2_Unit3GConv_1bn_ac_data"
  top: "stage2_Unit3GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit3Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage2_Unit3GConv_1bn_ac_data"
  top: "stage2_Unit3Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage2_Unit3Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage2_Unit3Shufflepre_shuffle_data"
  top: "stage2_Unit3Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage2_Unit3Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage2_Unit3Shuffleshuffle_data"
  top: "stage2_Unit3Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage2_Unit3conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage2_Unit3Shufflepost_shuffle_data"
  top: "stage2_Unit3conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit3conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit3conv_depth_wiseConv_data"
  top: "stage2_Unit3conv_depth_wisebn_data"
}
layer {
  name: "stage2_Unit3conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage2_Unit3conv_depth_wisebn_data"
  top: "stage2_Unit3conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit3GConv_2"
  type: "Convolution"
  bottom: "stage2_Unit3conv_depth_wisebn_data"
  top: "stage2_Unit3GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit3GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit3GConv_2Conv_data"
  top: "stage2_Unit3GConv_2bn_data"
}
layer {
  name: "stage2_Unit3GConv_2_scale"
  type: "Scale"
  bottom: "stage2_Unit3GConv_2bn_data"
  top: "stage2_Unit3GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit3Add"
  type: "Eltwise"
  bottom: "stage2_Unit2Addac_data"
  bottom: "stage2_Unit3GConv_2bn_data"
  top: "stage2_Unit3Add"
}
layer {
  name: "stage2_Unit3Add_relu"
  type: "ReLU"
  bottom: "stage2_Unit3Add"
  top: "stage2_Unit3Addac_data"
}
layer {
  name: "stage2_Unit4GConv_1"
  type: "Convolution"
  bottom: "stage2_Unit3Addac_data"
  top: "stage2_Unit4GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 60
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit4GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit4GConv_1Conv_data"
  top: "stage2_Unit4GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit4GConv_1_scale"
  type: "Scale"
  bottom: "stage2_Unit4GConv_1bn_ac_data"
  top: "stage2_Unit4GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit4GConv_1_relu"
  type: "ReLU"
  bottom: "stage2_Unit4GConv_1bn_ac_data"
  top: "stage2_Unit4GConv_1bn_ac_data"
}
layer {
  name: "stage2_Unit4Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage2_Unit4GConv_1bn_ac_data"
  top: "stage2_Unit4Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage2_Unit4Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage2_Unit4Shufflepre_shuffle_data"
  top: "stage2_Unit4Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage2_Unit4Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage2_Unit4Shuffleshuffle_data"
  top: "stage2_Unit4Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage2_Unit4conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage2_Unit4Shufflepost_shuffle_data"
  top: "stage2_Unit4conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit4conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit4conv_depth_wiseConv_data"
  top: "stage2_Unit4conv_depth_wisebn_data"
}
layer {
  name: "stage2_Unit4conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage2_Unit4conv_depth_wisebn_data"
  top: "stage2_Unit4conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit4GConv_2"
  type: "Convolution"
  bottom: "stage2_Unit4conv_depth_wisebn_data"
  top: "stage2_Unit4GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage2_Unit4GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage2_Unit4GConv_2Conv_data"
  top: "stage2_Unit4GConv_2bn_data"
}
layer {
  name: "stage2_Unit4GConv_2_scale"
  type: "Scale"
  bottom: "stage2_Unit4GConv_2bn_data"
  top: "stage2_Unit4GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage2_Unit4Add"
  type: "Eltwise"
  bottom: "stage2_Unit3Addac_data"
  bottom: "stage2_Unit4GConv_2bn_data"
  top: "stage2_Unit4Add"
}
layer {
  name: "stage2_Unit4Add_relu"
  type: "ReLU"
  bottom: "stage2_Unit4Add"
  top: "stage2_Unit4Addac_data"
}
layer {
  name: "stage3_Unit1pool1"
  type: "Pooling"
  bottom: "stage2_Unit4Addac_data"
  top: "stage3_Unit1pool1pool_data"
  pooling_param {
    pool: AVE
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "stage3_Unit1GConv_1"
  type: "Convolution"
  bottom: "stage2_Unit4Addac_data"
  top: "stage3_Unit1GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 60
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit1GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit1GConv_1Conv_data"
  top: "stage3_Unit1GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit1GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit1GConv_1bn_ac_data"
  top: "stage3_Unit1GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit1GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit1GConv_1bn_ac_data"
  top: "stage3_Unit1GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit1Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit1GConv_1bn_ac_data"
  top: "stage3_Unit1Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit1Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit1Shufflepre_shuffle_data"
  top: "stage3_Unit1Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit1Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit1Shuffleshuffle_data"
  top: "stage3_Unit1Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit1conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit1Shufflepost_shuffle_data"
  top: "stage3_Unit1conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "stage3_Unit1conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit1conv_depth_wiseConv_data"
  top: "stage3_Unit1conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit1conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit1conv_depth_wisebn_data"
  top: "stage3_Unit1conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit1GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit1conv_depth_wisebn_data"
  top: "stage3_Unit1GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit1GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit1GConv_2Conv_data"
  top: "stage3_Unit1GConv_2bn_data"
}
layer {
  name: "stage3_Unit1GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit1GConv_2bn_data"
  top: "stage3_Unit1GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit1Concate"
  type: "Concat"
  bottom: "stage3_Unit1pool1pool_data"
  bottom: "stage3_Unit1GConv_2bn_data"
  top: "stage3_Unit1Concate"
}
layer {
  name: "stage3_Unit1Concate_relu"
  type: "ReLU"
  bottom: "stage3_Unit1Concate"
  top: "stage3_Unit1Concateac_data"
}
layer {
  name: "stage3_Unit2GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit1Concateac_data"
  top: "stage3_Unit2GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit2GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit2GConv_1Conv_data"
  top: "stage3_Unit2GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit2GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit2GConv_1bn_ac_data"
  top: "stage3_Unit2GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit2GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit2GConv_1bn_ac_data"
  top: "stage3_Unit2GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit2Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit2GConv_1bn_ac_data"
  top: "stage3_Unit2Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit2Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit2Shufflepre_shuffle_data"
  top: "stage3_Unit2Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit2Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit2Shuffleshuffle_data"
  top: "stage3_Unit2Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit2conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit2Shufflepost_shuffle_data"
  top: "stage3_Unit2conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit2conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit2conv_depth_wiseConv_data"
  top: "stage3_Unit2conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit2conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit2conv_depth_wisebn_data"
  top: "stage3_Unit2conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit2GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit2conv_depth_wisebn_data"
  top: "stage3_Unit2GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit2GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit2GConv_2Conv_data"
  top: "stage3_Unit2GConv_2bn_data"
}
layer {
  name: "stage3_Unit2GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit2GConv_2bn_data"
  top: "stage3_Unit2GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit2Add"
  type: "Eltwise"
  bottom: "stage3_Unit1Concateac_data"
  bottom: "stage3_Unit2GConv_2bn_data"
  top: "stage3_Unit2Add"
}
layer {
  name: "stage3_Unit2Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit2Add"
  top: "stage3_Unit2Addac_data"
}
layer {
  name: "stage3_Unit3GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit2Addac_data"
  top: "stage3_Unit3GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit3GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit3GConv_1Conv_data"
  top: "stage3_Unit3GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit3GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit3GConv_1bn_ac_data"
  top: "stage3_Unit3GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit3GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit3GConv_1bn_ac_data"
  top: "stage3_Unit3GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit3Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit3GConv_1bn_ac_data"
  top: "stage3_Unit3Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit3Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit3Shufflepre_shuffle_data"
  top: "stage3_Unit3Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit3Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit3Shuffleshuffle_data"
  top: "stage3_Unit3Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit3conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit3Shufflepost_shuffle_data"
  top: "stage3_Unit3conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit3conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit3conv_depth_wiseConv_data"
  top: "stage3_Unit3conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit3conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit3conv_depth_wisebn_data"
  top: "stage3_Unit3conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit3GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit3conv_depth_wisebn_data"
  top: "stage3_Unit3GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit3GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit3GConv_2Conv_data"
  top: "stage3_Unit3GConv_2bn_data"
}
layer {
  name: "stage3_Unit3GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit3GConv_2bn_data"
  top: "stage3_Unit3GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit3Add"
  type: "Eltwise"
  bottom: "stage3_Unit2Addac_data"
  bottom: "stage3_Unit3GConv_2bn_data"
  top: "stage3_Unit3Add"
}
layer {
  name: "stage3_Unit3Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit3Add"
  top: "stage3_Unit3Addac_data"
}
layer {
  name: "stage3_Unit4GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit3Addac_data"
  top: "stage3_Unit4GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit4GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit4GConv_1Conv_data"
  top: "stage3_Unit4GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit4GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit4GConv_1bn_ac_data"
  top: "stage3_Unit4GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit4GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit4GConv_1bn_ac_data"
  top: "stage3_Unit4GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit4Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit4GConv_1bn_ac_data"
  top: "stage3_Unit4Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit4Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit4Shufflepre_shuffle_data"
  top: "stage3_Unit4Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit4Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit4Shuffleshuffle_data"
  top: "stage3_Unit4Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit4conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit4Shufflepost_shuffle_data"
  top: "stage3_Unit4conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit4conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit4conv_depth_wiseConv_data"
  top: "stage3_Unit4conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit4conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit4conv_depth_wisebn_data"
  top: "stage3_Unit4conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit4GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit4conv_depth_wisebn_data"
  top: "stage3_Unit4GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit4GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit4GConv_2Conv_data"
  top: "stage3_Unit4GConv_2bn_data"
}
layer {
  name: "stage3_Unit4GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit4GConv_2bn_data"
  top: "stage3_Unit4GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit4Add"
  type: "Eltwise"
  bottom: "stage3_Unit3Addac_data"
  bottom: "stage3_Unit4GConv_2bn_data"
  top: "stage3_Unit4Add"
}
layer {
  name: "stage3_Unit4Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit4Add"
  top: "stage3_Unit4Addac_data"
}
layer {
  name: "stage3_Unit5GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit4Addac_data"
  top: "stage3_Unit5GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit5GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit5GConv_1Conv_data"
  top: "stage3_Unit5GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit5GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit5GConv_1bn_ac_data"
  top: "stage3_Unit5GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit5GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit5GConv_1bn_ac_data"
  top: "stage3_Unit5GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit5Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit5GConv_1bn_ac_data"
  top: "stage3_Unit5Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit5Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit5Shufflepre_shuffle_data"
  top: "stage3_Unit5Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit5Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit5Shuffleshuffle_data"
  top: "stage3_Unit5Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit5conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit5Shufflepost_shuffle_data"
  top: "stage3_Unit5conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit5conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit5conv_depth_wiseConv_data"
  top: "stage3_Unit5conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit5conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit5conv_depth_wisebn_data"
  top: "stage3_Unit5conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit5GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit5conv_depth_wisebn_data"
  top: "stage3_Unit5GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit5GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit5GConv_2Conv_data"
  top: "stage3_Unit5GConv_2bn_data"
}
layer {
  name: "stage3_Unit5GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit5GConv_2bn_data"
  top: "stage3_Unit5GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit5Add"
  type: "Eltwise"
  bottom: "stage3_Unit4Addac_data"
  bottom: "stage3_Unit5GConv_2bn_data"
  top: "stage3_Unit5Add"
}
layer {
  name: "stage3_Unit5Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit5Add"
  top: "stage3_Unit5Addac_data"
}
layer {
  name: "stage3_Unit6GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit5Addac_data"
  top: "stage3_Unit6GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit6GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit6GConv_1Conv_data"
  top: "stage3_Unit6GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit6GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit6GConv_1bn_ac_data"
  top: "stage3_Unit6GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit6GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit6GConv_1bn_ac_data"
  top: "stage3_Unit6GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit6Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit6GConv_1bn_ac_data"
  top: "stage3_Unit6Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit6Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit6Shufflepre_shuffle_data"
  top: "stage3_Unit6Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit6Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit6Shuffleshuffle_data"
  top: "stage3_Unit6Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit6conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit6Shufflepost_shuffle_data"
  top: "stage3_Unit6conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit6conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit6conv_depth_wiseConv_data"
  top: "stage3_Unit6conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit6conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit6conv_depth_wisebn_data"
  top: "stage3_Unit6conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit6GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit6conv_depth_wisebn_data"
  top: "stage3_Unit6GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit6GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit6GConv_2Conv_data"
  top: "stage3_Unit6GConv_2bn_data"
}
layer {
  name: "stage3_Unit6GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit6GConv_2bn_data"
  top: "stage3_Unit6GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit6Add"
  type: "Eltwise"
  bottom: "stage3_Unit5Addac_data"
  bottom: "stage3_Unit6GConv_2bn_data"
  top: "stage3_Unit6Add"
}
layer {
  name: "stage3_Unit6Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit6Add"
  top: "stage3_Unit6Addac_data"
}
layer {
  name: "stage3_Unit7GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit6Addac_data"
  top: "stage3_Unit7GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit7GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit7GConv_1Conv_data"
  top: "stage3_Unit7GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit7GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit7GConv_1bn_ac_data"
  top: "stage3_Unit7GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit7GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit7GConv_1bn_ac_data"
  top: "stage3_Unit7GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit7Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit7GConv_1bn_ac_data"
  top: "stage3_Unit7Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit7Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit7Shufflepre_shuffle_data"
  top: "stage3_Unit7Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit7Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit7Shuffleshuffle_data"
  top: "stage3_Unit7Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit7conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit7Shufflepost_shuffle_data"
  top: "stage3_Unit7conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit7conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit7conv_depth_wiseConv_data"
  top: "stage3_Unit7conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit7conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit7conv_depth_wisebn_data"
  top: "stage3_Unit7conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit7GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit7conv_depth_wisebn_data"
  top: "stage3_Unit7GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit7GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit7GConv_2Conv_data"
  top: "stage3_Unit7GConv_2bn_data"
}
layer {
  name: "stage3_Unit7GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit7GConv_2bn_data"
  top: "stage3_Unit7GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit7Add"
  type: "Eltwise"
  bottom: "stage3_Unit6Addac_data"
  bottom: "stage3_Unit7GConv_2bn_data"
  top: "stage3_Unit7Add"
}
layer {
  name: "stage3_Unit7Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit7Add"
  top: "stage3_Unit7Addac_data"
}
layer {
  name: "stage3_Unit8GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit7Addac_data"
  top: "stage3_Unit8GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit8GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit8GConv_1Conv_data"
  top: "stage3_Unit8GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit8GConv_1_scale"
  type: "Scale"
  bottom: "stage3_Unit8GConv_1bn_ac_data"
  top: "stage3_Unit8GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit8GConv_1_relu"
  type: "ReLU"
  bottom: "stage3_Unit8GConv_1bn_ac_data"
  top: "stage3_Unit8GConv_1bn_ac_data"
}
layer {
  name: "stage3_Unit8Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage3_Unit8GConv_1bn_ac_data"
  top: "stage3_Unit8Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage3_Unit8Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage3_Unit8Shufflepre_shuffle_data"
  top: "stage3_Unit8Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage3_Unit8Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage3_Unit8Shuffleshuffle_data"
  top: "stage3_Unit8Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage3_Unit8conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage3_Unit8Shufflepost_shuffle_data"
  top: "stage3_Unit8conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit8conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit8conv_depth_wiseConv_data"
  top: "stage3_Unit8conv_depth_wisebn_data"
}
layer {
  name: "stage3_Unit8conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage3_Unit8conv_depth_wisebn_data"
  top: "stage3_Unit8conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit8GConv_2"
  type: "Convolution"
  bottom: "stage3_Unit8conv_depth_wisebn_data"
  top: "stage3_Unit8GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage3_Unit8GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage3_Unit8GConv_2Conv_data"
  top: "stage3_Unit8GConv_2bn_data"
}
layer {
  name: "stage3_Unit8GConv_2_scale"
  type: "Scale"
  bottom: "stage3_Unit8GConv_2bn_data"
  top: "stage3_Unit8GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage3_Unit8Add"
  type: "Eltwise"
  bottom: "stage3_Unit7Addac_data"
  bottom: "stage3_Unit8GConv_2bn_data"
  top: "stage3_Unit8Add"
}
layer {
  name: "stage3_Unit8Add_relu"
  type: "ReLU"
  bottom: "stage3_Unit8Add"
  top: "stage3_Unit8Addac_data"
}
layer {
  name: "stage4_Unit1pool1"
  type: "Pooling"
  bottom: "stage3_Unit8Addac_data"
  top: "stage4_Unit1pool1pool_data"
  pooling_param {
    pool: AVE
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "stage4_Unit1GConv_1"
  type: "Convolution"
  bottom: "stage3_Unit8Addac_data"
  top: "stage4_Unit1GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 120
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit1GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit1GConv_1Conv_data"
  top: "stage4_Unit1GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit1GConv_1_scale"
  type: "Scale"
  bottom: "stage4_Unit1GConv_1bn_ac_data"
  top: "stage4_Unit1GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit1GConv_1_relu"
  type: "ReLU"
  bottom: "stage4_Unit1GConv_1bn_ac_data"
  top: "stage4_Unit1GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit1Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage4_Unit1GConv_1bn_ac_data"
  top: "stage4_Unit1Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage4_Unit1Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage4_Unit1Shufflepre_shuffle_data"
  top: "stage4_Unit1Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage4_Unit1Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage4_Unit1Shuffleshuffle_data"
  top: "stage4_Unit1Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage4_Unit1conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage4_Unit1Shufflepost_shuffle_data"
  top: "stage4_Unit1conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "stage4_Unit1conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit1conv_depth_wiseConv_data"
  top: "stage4_Unit1conv_depth_wisebn_data"
}
layer {
  name: "stage4_Unit1conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage4_Unit1conv_depth_wisebn_data"
  top: "stage4_Unit1conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit1GConv_2"
  type: "Convolution"
  bottom: "stage4_Unit1conv_depth_wisebn_data"
  top: "stage4_Unit1GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 480
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit1GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit1GConv_2Conv_data"
  top: "stage4_Unit1GConv_2bn_data"
}
layer {
  name: "stage4_Unit1GConv_2_scale"
  type: "Scale"
  bottom: "stage4_Unit1GConv_2bn_data"
  top: "stage4_Unit1GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit1Concate"
  type: "Concat"
  bottom: "stage4_Unit1pool1pool_data"
  bottom: "stage4_Unit1GConv_2bn_data"
  top: "stage4_Unit1Concate"
}
layer {
  name: "stage4_Unit1Concate_relu"
  type: "ReLU"
  bottom: "stage4_Unit1Concate"
  top: "stage4_Unit1Concateac_data"
}
layer {
  name: "stage4_Unit2GConv_1"
  type: "Convolution"
  bottom: "stage4_Unit1Concateac_data"
  top: "stage4_Unit2GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit2GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit2GConv_1Conv_data"
  top: "stage4_Unit2GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit2GConv_1_scale"
  type: "Scale"
  bottom: "stage4_Unit2GConv_1bn_ac_data"
  top: "stage4_Unit2GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit2GConv_1_relu"
  type: "ReLU"
  bottom: "stage4_Unit2GConv_1bn_ac_data"
  top: "stage4_Unit2GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit2Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage4_Unit2GConv_1bn_ac_data"
  top: "stage4_Unit2Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage4_Unit2Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage4_Unit2Shufflepre_shuffle_data"
  top: "stage4_Unit2Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage4_Unit2Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage4_Unit2Shuffleshuffle_data"
  top: "stage4_Unit2Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage4_Unit2conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage4_Unit2Shufflepost_shuffle_data"
  top: "stage4_Unit2conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit2conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit2conv_depth_wiseConv_data"
  top: "stage4_Unit2conv_depth_wisebn_data"
}
layer {
  name: "stage4_Unit2conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage4_Unit2conv_depth_wisebn_data"
  top: "stage4_Unit2conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit2GConv_2"
  type: "Convolution"
  bottom: "stage4_Unit2conv_depth_wisebn_data"
  top: "stage4_Unit2GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 960
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit2GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit2GConv_2Conv_data"
  top: "stage4_Unit2GConv_2bn_data"
}
layer {
  name: "stage4_Unit2GConv_2_scale"
  type: "Scale"
  bottom: "stage4_Unit2GConv_2bn_data"
  top: "stage4_Unit2GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit2Add"
  type: "Eltwise"
  bottom: "stage4_Unit1Concateac_data"
  bottom: "stage4_Unit2GConv_2bn_data"
  top: "stage4_Unit2Add"
}
layer {
  name: "stage4_Unit2Add_relu"
  type: "ReLU"
  bottom: "stage4_Unit2Add"
  top: "stage4_Unit2Addac_data"
}
layer {
  name: "stage4_Unit3GConv_1"
  type: "Convolution"
  bottom: "stage4_Unit2Addac_data"
  top: "stage4_Unit3GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit3GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit3GConv_1Conv_data"
  top: "stage4_Unit3GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit3GConv_1_scale"
  type: "Scale"
  bottom: "stage4_Unit3GConv_1bn_ac_data"
  top: "stage4_Unit3GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit3GConv_1_relu"
  type: "ReLU"
  bottom: "stage4_Unit3GConv_1bn_ac_data"
  top: "stage4_Unit3GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit3Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage4_Unit3GConv_1bn_ac_data"
  top: "stage4_Unit3Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage4_Unit3Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage4_Unit3Shufflepre_shuffle_data"
  top: "stage4_Unit3Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage4_Unit3Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage4_Unit3Shuffleshuffle_data"
  top: "stage4_Unit3Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage4_Unit3conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage4_Unit3Shufflepost_shuffle_data"
  top: "stage4_Unit3conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit3conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit3conv_depth_wiseConv_data"
  top: "stage4_Unit3conv_depth_wisebn_data"
}
layer {
  name: "stage4_Unit3conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage4_Unit3conv_depth_wisebn_data"
  top: "stage4_Unit3conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit3GConv_2"
  type: "Convolution"
  bottom: "stage4_Unit3conv_depth_wisebn_data"
  top: "stage4_Unit3GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 960
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit3GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit3GConv_2Conv_data"
  top: "stage4_Unit3GConv_2bn_data"
}
layer {
  name: "stage4_Unit3GConv_2_scale"
  type: "Scale"
  bottom: "stage4_Unit3GConv_2bn_data"
  top: "stage4_Unit3GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit3Add"
  type: "Eltwise"
  bottom: "stage4_Unit2Addac_data"
  bottom: "stage4_Unit3GConv_2bn_data"
  top: "stage4_Unit3Add"
}
layer {
  name: "stage4_Unit3Add_relu"
  type: "ReLU"
  bottom: "stage4_Unit3Add"
  top: "stage4_Unit3Addac_data"
}
layer {
  name: "stage4_Unit4GConv_1"
  type: "Convolution"
  bottom: "stage4_Unit3Addac_data"
  top: "stage4_Unit4GConv_1Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 240
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit4GConv_1_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit4GConv_1Conv_data"
  top: "stage4_Unit4GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit4GConv_1_scale"
  type: "Scale"
  bottom: "stage4_Unit4GConv_1bn_ac_data"
  top: "stage4_Unit4GConv_1bn_ac_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit4GConv_1_relu"
  type: "ReLU"
  bottom: "stage4_Unit4GConv_1bn_ac_data"
  top: "stage4_Unit4GConv_1bn_ac_data"
}
layer {
  name: "stage4_Unit4Shuffle_reshape_pre_layer"
  type: "Reshape"
  bottom: "stage4_Unit4GConv_1bn_ac_data"
  top: "stage4_Unit4Shufflepre_shuffle_data"
  reshape_param {
    shape {
      dim: 3
      dim: -1
    }
    axis: 1
    num_axes: 1
  }
}
layer {
  name: "stage4_Unit4Shuffle_Permute_layer"
  type: "Permute"
  bottom: "stage4_Unit4Shufflepre_shuffle_data"
  top: "stage4_Unit4Shuffleshuffle_data"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "stage4_Unit4Shuffle_reshape_post_layer"
  type: "Reshape"
  bottom: "stage4_Unit4Shuffleshuffle_data"
  top: "stage4_Unit4Shufflepost_shuffle_data"
  reshape_param {
    shape {
      dim: -1
    }
    axis: 1
    num_axes: 2
  }
}
layer {
  name: "stage4_Unit4conv_depth_wise"
  type: "ConvolutionDepthwise"
  bottom: "stage4_Unit4Shufflepost_shuffle_data"
  top: "stage4_Unit4conv_depth_wiseConv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    bias_term: false
    weight_filler {
      type: "msra"
    }
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit4conv_depth_wise_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit4conv_depth_wiseConv_data"
  top: "stage4_Unit4conv_depth_wisebn_data"
}
layer {
  name: "stage4_Unit4conv_depth_wise_scale"
  type: "Scale"
  bottom: "stage4_Unit4conv_depth_wisebn_data"
  top: "stage4_Unit4conv_depth_wisebn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit4GConv_2"
  type: "Convolution"
  bottom: "stage4_Unit4conv_depth_wisebn_data"
  top: "stage4_Unit4GConv_2Conv_data"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 960
    bias_term: false
    group: 3
    weight_filler {
      type: "msra"
    }
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
  }
}
layer {
  name: "stage4_Unit4GConv_2_bn"
  type: "BatchNorm"
  bottom: "stage4_Unit4GConv_2Conv_data"
  top: "stage4_Unit4GConv_2bn_data"
}
layer {
  name: "stage4_Unit4GConv_2_scale"
  type: "Scale"
  bottom: "stage4_Unit4GConv_2bn_data"
  top: "stage4_Unit4GConv_2bn_data"
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "stage4_Unit4Add"
  type: "Eltwise"
  bottom: "stage4_Unit3Addac_data"
  bottom: "stage4_Unit4GConv_2bn_data"
  top: "stage4_Unit4Add"
}
layer {
  name: "stage4_Unit4Add_relu"
  type: "ReLU"
  bottom: "stage4_Unit4Add"
  top: "stage4_Unit4Addac_data"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "stage4_Unit4Addac_data"
  top: "pool5pool_data"
  pooling_param {
    pool: AVE
    kernel_h: 7
    kernel_w: 7
    stride_h: 1
    stride_w: 1
    pad_h: 0
    pad_w: 0
  }
}
layer {
  name: "flatten"
  type: "Flatten"
  bottom: "pool5pool_data"
  top: "flatten"
}
layer {
  name: "fc6"
  type: "InnerProduct"
  bottom: "flatten"
  top: "fc6"
  inner_product_param {
    num_output: 1000
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "msra"
    }
  }
}
layer {
  name: "softmax"
  type: "Softmax"
  bottom: "fc6"
  top: "softmax"
}