trainval.prototxt

name: "xception"
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  transform_param {
    mirror: false
    crop_size: 224
    mean_value: 104.0
    mean_value: 117.0
    mean_value: 123.0
  }
  data_param {
    source: "path/to/imagenet/lmdb"
    batch_size: 32
    backend: LMDB
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 1
    decay_mult: 2
  }
  convolution_param {
    num_output: 64
    pad: 3
    kernel_size: 7
    stride: 2
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "bn_conv1"
  type: "BatchNorm"
  bottom: "conv1"
  top: "conv1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn_conv1_scaleshift"
  type: "Scale"
  bottom: "conv1"
  top: "conv1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv1_relu"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    kernel_size: 3
    stride: 2
    global_pooling: false
  }
}
layer {
  name: "interstellar2a_branch1_s"
  type: "Convolution"
  bottom: "pool1"
  top: "interstellar2a_branch1_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 64
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2a_branch1"
  type: "Convolution"
  bottom: "interstellar2a_branch1_s"
  top: "interstellar2a_branch1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2a_branch1"
  type: "BatchNorm"
  bottom: "interstellar2a_branch1"
  top: "interstellar2a_branch1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2a_branch1_scaleshift"
  type: "Scale"
  bottom: "interstellar2a_branch1"
  top: "interstellar2a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2a_branch2a_s"
  type: "Convolution"
  bottom: "pool1"
  top: "interstellar2a_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 64
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2a_branch2a"
  type: "Convolution"
  bottom: "interstellar2a_branch2a_s"
  top: "interstellar2a_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2a_branch2a"
  type: "BatchNorm"
  bottom: "interstellar2a_branch2a"
  top: "interstellar2a_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2a_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar2a_branch2a"
  top: "interstellar2a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2a_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar2a_branch2a"
  top: "interstellar2a_branch2a"
}
layer {
  name: "interstellar2a_branch2b_s"
  type: "Convolution"
  bottom: "interstellar2a_branch2a"
  top: "interstellar2a_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2a_branch2b"
  type: "Convolution"
  bottom: "interstellar2a_branch2b_s"
  top: "interstellar2a_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2a_branch2b"
  type: "BatchNorm"
  bottom: "interstellar2a_branch2b"
  top: "interstellar2a_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2a_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar2a_branch2b"
  top: "interstellar2a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2a_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar2a_branch2b"
  top: "interstellar2a_branch2b"
}
layer {
  name: "interstellar2a_branch2c_s"
  type: "Convolution"
  bottom: "interstellar2a_branch2b"
  top: "interstellar2a_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2a_branch2c"
  type: "Convolution"
  bottom: "interstellar2a_branch2c_s"
  top: "interstellar2a_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2a_branch2c"
  type: "BatchNorm"
  bottom: "interstellar2a_branch2c"
  top: "interstellar2a_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2a_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar2a_branch2c"
  top: "interstellar2a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins2a"
  type: "Eltwise"
  bottom: "interstellar2a_branch2c"
  bottom: "interstellar2a_branch1"
  top: "ins2a"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins2a_relu"
  type: "ReLU"
  bottom: "ins2a"
  top: "ins2a"
}
layer {
  name: "interstellar2b_branch2a_s"
  type: "Convolution"
  bottom: "ins2a"
  top: "interstellar2b_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2b_branch2a"
  type: "Convolution"
  bottom: "interstellar2b_branch2a_s"
  top: "interstellar2b_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2b_branch2a"
  type: "BatchNorm"
  bottom: "interstellar2b_branch2a"
  top: "interstellar2b_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2b_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar2b_branch2a"
  top: "interstellar2b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2b_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar2b_branch2a"
  top: "interstellar2b_branch2a"
}
layer {
  name: "interstellar2b_branch2b_s"
  type: "Convolution"
  bottom: "interstellar2b_branch2a"
  top: "interstellar2b_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2b_branch2b"
  type: "Convolution"
  bottom: "interstellar2b_branch2b_s"
  top: "interstellar2b_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2b_branch2b"
  type: "BatchNorm"
  bottom: "interstellar2b_branch2b"
  top: "interstellar2b_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2b_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar2b_branch2b"
  top: "interstellar2b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2b_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar2b_branch2b"
  top: "interstellar2b_branch2b"
}
layer {
  name: "interstellar2b_branch2c_s"
  type: "Convolution"
  bottom: "interstellar2b_branch2b"
  top: "interstellar2b_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2b_branch2c"
  type: "Convolution"
  bottom: "interstellar2b_branch2c_s"
  top: "interstellar2b_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2b_branch2c"
  type: "BatchNorm"
  bottom: "interstellar2b_branch2c"
  top: "interstellar2b_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2b_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar2b_branch2c"
  top: "interstellar2b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins2b"
  type: "Eltwise"
  bottom: "interstellar2b_branch2c"
  bottom: "ins2a"
  top: "ins2b"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins2b_relu"
  type: "ReLU"
  bottom: "ins2b"
  top: "ins2b"
}
layer {
  name: "interstellar2c_branch2a_s"
  type: "Convolution"
  bottom: "ins2b"
  top: "interstellar2c_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2c_branch2a"
  type: "Convolution"
  bottom: "interstellar2c_branch2a_s"
  top: "interstellar2c_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2c_branch2a"
  type: "BatchNorm"
  bottom: "interstellar2c_branch2a"
  top: "interstellar2c_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2c_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar2c_branch2a"
  top: "interstellar2c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2c_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar2c_branch2a"
  top: "interstellar2c_branch2a"
}
layer {
  name: "interstellar2c_branch2b_s"
  type: "Convolution"
  bottom: "interstellar2c_branch2a"
  top: "interstellar2c_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2c_branch2b"
  type: "Convolution"
  bottom: "interstellar2c_branch2b_s"
  top: "interstellar2c_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2c_branch2b"
  type: "BatchNorm"
  bottom: "interstellar2c_branch2b"
  top: "interstellar2c_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2c_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar2c_branch2b"
  top: "interstellar2c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar2c_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar2c_branch2b"
  top: "interstellar2c_branch2b"
}
layer {
  name: "interstellar2c_branch2c_s"
  type: "Convolution"
  bottom: "interstellar2c_branch2b"
  top: "interstellar2c_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar2c_branch2c"
  type: "Convolution"
  bottom: "interstellar2c_branch2c_s"
  top: "interstellar2c_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn2c_branch2c"
  type: "BatchNorm"
  bottom: "interstellar2c_branch2c"
  top: "interstellar2c_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn2c_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar2c_branch2c"
  top: "interstellar2c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins2c"
  type: "Eltwise"
  bottom: "interstellar2c_branch2c"
  bottom: "ins2b"
  top: "ins2c"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins2c_relu"
  type: "ReLU"
  bottom: "ins2c"
  top: "ins2c"
}
layer {
  name: "interstellar3a_branch1_s"
  type: "Convolution"
  bottom: "ins2c"
  top: "interstellar3a_branch1_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3a_branch1"
  type: "Convolution"
  bottom: "interstellar3a_branch1_s"
  top: "interstellar3a_branch1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3a_branch1"
  type: "BatchNorm"
  bottom: "interstellar3a_branch1"
  top: "interstellar3a_branch1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3a_branch1_scaleshift"
  type: "Scale"
  bottom: "interstellar3a_branch1"
  top: "interstellar3a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3a_branch2a_s"
  type: "Convolution"
  bottom: "ins2c"
  top: "interstellar3a_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3a_branch2a"
  type: "Convolution"
  bottom: "interstellar3a_branch2a_s"
  top: "interstellar3a_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3a_branch2a"
  type: "BatchNorm"
  bottom: "interstellar3a_branch2a"
  top: "interstellar3a_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3a_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar3a_branch2a"
  top: "interstellar3a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3a_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar3a_branch2a"
  top: "interstellar3a_branch2a"
}
layer {
  name: "interstellar3a_branch2b_s"
  type: "Convolution"
  bottom: "interstellar3a_branch2a"
  top: "interstellar3a_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3a_branch2b"
  type: "Convolution"
  bottom: "interstellar3a_branch2b_s"
  top: "interstellar3a_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3a_branch2b"
  type: "BatchNorm"
  bottom: "interstellar3a_branch2b"
  top: "interstellar3a_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3a_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar3a_branch2b"
  top: "interstellar3a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3a_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar3a_branch2b"
  top: "interstellar3a_branch2b"
}
layer {
  name: "interstellar3a_branch2c_s"
  type: "Convolution"
  bottom: "interstellar3a_branch2b"
  top: "interstellar3a_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3a_branch2c"
  type: "Convolution"
  bottom: "interstellar3a_branch2c_s"
  top: "interstellar3a_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3a_branch2c"
  type: "BatchNorm"
  bottom: "interstellar3a_branch2c"
  top: "interstellar3a_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3a_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar3a_branch2c"
  top: "interstellar3a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins3a"
  type: "Eltwise"
  bottom: "interstellar3a_branch2c"
  bottom: "interstellar3a_branch1"
  top: "ins3a"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins3a_relu"
  type: "ReLU"
  bottom: "ins3a"
  top: "ins3a"
}
layer {
  name: "interstellar3b_branch2a_s"
  type: "Convolution"
  bottom: "ins3a"
  top: "interstellar3b_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3b_branch2a"
  type: "Convolution"
  bottom: "interstellar3b_branch2a_s"
  top: "interstellar3b_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3b_branch2a"
  type: "BatchNorm"
  bottom: "interstellar3b_branch2a"
  top: "interstellar3b_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3b_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar3b_branch2a"
  top: "interstellar3b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3b_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar3b_branch2a"
  top: "interstellar3b_branch2a"
}
layer {
  name: "interstellar3b_branch2b_s"
  type: "Convolution"
  bottom: "interstellar3b_branch2a"
  top: "interstellar3b_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3b_branch2b"
  type: "Convolution"
  bottom: "interstellar3b_branch2b_s"
  top: "interstellar3b_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3b_branch2b"
  type: "BatchNorm"
  bottom: "interstellar3b_branch2b"
  top: "interstellar3b_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3b_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar3b_branch2b"
  top: "interstellar3b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3b_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar3b_branch2b"
  top: "interstellar3b_branch2b"
}
layer {
  name: "interstellar3b_branch2c_s"
  type: "Convolution"
  bottom: "interstellar3b_branch2b"
  top: "interstellar3b_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3b_branch2c"
  type: "Convolution"
  bottom: "interstellar3b_branch2c_s"
  top: "interstellar3b_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3b_branch2c"
  type: "BatchNorm"
  bottom: "interstellar3b_branch2c"
  top: "interstellar3b_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3b_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar3b_branch2c"
  top: "interstellar3b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins3b"
  type: "Eltwise"
  bottom: "interstellar3b_branch2c"
  bottom: "ins3a"
  top: "ins3b"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins3b_relu"
  type: "ReLU"
  bottom: "ins3b"
  top: "ins3b"
}
layer {
  name: "interstellar3c_branch2a_s"
  type: "Convolution"
  bottom: "ins3b"
  top: "interstellar3c_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3c_branch2a"
  type: "Convolution"
  bottom: "interstellar3c_branch2a_s"
  top: "interstellar3c_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3c_branch2a"
  type: "BatchNorm"
  bottom: "interstellar3c_branch2a"
  top: "interstellar3c_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3c_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar3c_branch2a"
  top: "interstellar3c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3c_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar3c_branch2a"
  top: "interstellar3c_branch2a"
}
layer {
  name: "interstellar3c_branch2b_s"
  type: "Convolution"
  bottom: "interstellar3c_branch2a"
  top: "interstellar3c_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3c_branch2b"
  type: "Convolution"
  bottom: "interstellar3c_branch2b_s"
  top: "interstellar3c_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3c_branch2b"
  type: "BatchNorm"
  bottom: "interstellar3c_branch2b"
  top: "interstellar3c_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3c_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar3c_branch2b"
  top: "interstellar3c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3c_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar3c_branch2b"
  top: "interstellar3c_branch2b"
}
layer {
  name: "interstellar3c_branch2c_s"
  type: "Convolution"
  bottom: "interstellar3c_branch2b"
  top: "interstellar3c_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3c_branch2c"
  type: "Convolution"
  bottom: "interstellar3c_branch2c_s"
  top: "interstellar3c_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3c_branch2c"
  type: "BatchNorm"
  bottom: "interstellar3c_branch2c"
  top: "interstellar3c_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3c_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar3c_branch2c"
  top: "interstellar3c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins3c"
  type: "Eltwise"
  bottom: "interstellar3c_branch2c"
  bottom: "ins3b"
  top: "ins3c"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins3c_relu"
  type: "ReLU"
  bottom: "ins3c"
  top: "ins3c"
}
layer {
  name: "interstellar3d_branch2a_s"
  type: "Convolution"
  bottom: "ins3c"
  top: "interstellar3d_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3d_branch2a"
  type: "Convolution"
  bottom: "interstellar3d_branch2a_s"
  top: "interstellar3d_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3d_branch2a"
  type: "BatchNorm"
  bottom: "interstellar3d_branch2a"
  top: "interstellar3d_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3d_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar3d_branch2a"
  top: "interstellar3d_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3d_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar3d_branch2a"
  top: "interstellar3d_branch2a"
}
layer {
  name: "interstellar3d_branch2b_s"
  type: "Convolution"
  bottom: "interstellar3d_branch2a"
  top: "interstellar3d_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3d_branch2b"
  type: "Convolution"
  bottom: "interstellar3d_branch2b_s"
  top: "interstellar3d_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3d_branch2b"
  type: "BatchNorm"
  bottom: "interstellar3d_branch2b"
  top: "interstellar3d_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3d_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar3d_branch2b"
  top: "interstellar3d_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar3d_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar3d_branch2b"
  top: "interstellar3d_branch2b"
}
layer {
  name: "interstellar3d_branch2c_s"
  type: "Convolution"
  bottom: "interstellar3d_branch2b"
  top: "interstellar3d_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar3d_branch2c"
  type: "Convolution"
  bottom: "interstellar3d_branch2c_s"
  top: "interstellar3d_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn3d_branch2c"
  type: "BatchNorm"
  bottom: "interstellar3d_branch2c"
  top: "interstellar3d_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn3d_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar3d_branch2c"
  top: "interstellar3d_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins3d"
  type: "Eltwise"
  bottom: "interstellar3d_branch2c"
  bottom: "ins3c"
  top: "ins3d"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins3d_relu"
  type: "ReLU"
  bottom: "ins3d"
  top: "ins3d"
}
layer {
  name: "interstellar4a_branch1_s"
  type: "Convolution"
  bottom: "ins3d"
  top: "interstellar4a_branch1_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4a_branch1"
  type: "Convolution"
  bottom: "interstellar4a_branch1_s"
  top: "interstellar4a_branch1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4a_branch1"
  type: "BatchNorm"
  bottom: "interstellar4a_branch1"
  top: "interstellar4a_branch1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4a_branch1_scaleshift"
  type: "Scale"
  bottom: "interstellar4a_branch1"
  top: "interstellar4a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4a_branch2a_s"
  type: "Convolution"
  bottom: "ins3d"
  top: "interstellar4a_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4a_branch2a"
  type: "Convolution"
  bottom: "interstellar4a_branch2a_s"
  top: "interstellar4a_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4a_branch2a"
  type: "BatchNorm"
  bottom: "interstellar4a_branch2a"
  top: "interstellar4a_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4a_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar4a_branch2a"
  top: "interstellar4a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4a_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar4a_branch2a"
  top: "interstellar4a_branch2a"
}
layer {
  name: "interstellar4a_branch2b_s"
  type: "Convolution"
  bottom: "interstellar4a_branch2a"
  top: "interstellar4a_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4a_branch2b"
  type: "Convolution"
  bottom: "interstellar4a_branch2b_s"
  top: "interstellar4a_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4a_branch2b"
  type: "BatchNorm"
  bottom: "interstellar4a_branch2b"
  top: "interstellar4a_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4a_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar4a_branch2b"
  top: "interstellar4a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4a_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar4a_branch2b"
  top: "interstellar4a_branch2b"
}
layer {
  name: "interstellar4a_branch2c_s"
  type: "Convolution"
  bottom: "interstellar4a_branch2b"
  top: "interstellar4a_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4a_branch2c"
  type: "Convolution"
  bottom: "interstellar4a_branch2c_s"
  top: "interstellar4a_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4a_branch2c"
  type: "BatchNorm"
  bottom: "interstellar4a_branch2c"
  top: "interstellar4a_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4a_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar4a_branch2c"
  top: "interstellar4a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins4a"
  type: "Eltwise"
  bottom: "interstellar4a_branch2c"
  bottom: "interstellar4a_branch1"
  top: "ins4a"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins4a_relu"
  type: "ReLU"
  bottom: "ins4a"
  top: "ins4a"
}
layer {
  name: "interstellar4b_branch2a_s"
  type: "Convolution"
  bottom: "ins4a"
  top: "interstellar4b_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4b_branch2a"
  type: "Convolution"
  bottom: "interstellar4b_branch2a_s"
  top: "interstellar4b_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4b_branch2a"
  type: "BatchNorm"
  bottom: "interstellar4b_branch2a"
  top: "interstellar4b_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4b_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar4b_branch2a"
  top: "interstellar4b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4b_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar4b_branch2a"
  top: "interstellar4b_branch2a"
}
layer {
  name: "interstellar4b_branch2b_s"
  type: "Convolution"
  bottom: "interstellar4b_branch2a"
  top: "interstellar4b_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4b_branch2b"
  type: "Convolution"
  bottom: "interstellar4b_branch2b_s"
  top: "interstellar4b_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4b_branch2b"
  type: "BatchNorm"
  bottom: "interstellar4b_branch2b"
  top: "interstellar4b_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4b_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar4b_branch2b"
  top: "interstellar4b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4b_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar4b_branch2b"
  top: "interstellar4b_branch2b"
}
layer {
  name: "interstellar4b_branch2c_s"
  type: "Convolution"
  bottom: "interstellar4b_branch2b"
  top: "interstellar4b_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4b_branch2c"
  type: "Convolution"
  bottom: "interstellar4b_branch2c_s"
  top: "interstellar4b_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4b_branch2c"
  type: "BatchNorm"
  bottom: "interstellar4b_branch2c"
  top: "interstellar4b_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4b_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar4b_branch2c"
  top: "interstellar4b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins4b"
  type: "Eltwise"
  bottom: "interstellar4b_branch2c"
  bottom: "ins4a"
  top: "ins4b"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins4b_relu"
  type: "ReLU"
  bottom: "ins4b"
  top: "ins4b"
}
layer {
  name: "interstellar4c_branch2a_s"
  type: "Convolution"
  bottom: "ins4b"
  top: "interstellar4c_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4c_branch2a"
  type: "Convolution"
  bottom: "interstellar4c_branch2a_s"
  top: "interstellar4c_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4c_branch2a"
  type: "BatchNorm"
  bottom: "interstellar4c_branch2a"
  top: "interstellar4c_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4c_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar4c_branch2a"
  top: "interstellar4c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4c_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar4c_branch2a"
  top: "interstellar4c_branch2a"
}
layer {
  name: "interstellar4c_branch2b_s"
  type: "Convolution"
  bottom: "interstellar4c_branch2a"
  top: "interstellar4c_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4c_branch2b"
  type: "Convolution"
  bottom: "interstellar4c_branch2b_s"
  top: "interstellar4c_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4c_branch2b"
  type: "BatchNorm"
  bottom: "interstellar4c_branch2b"
  top: "interstellar4c_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4c_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar4c_branch2b"
  top: "interstellar4c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4c_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar4c_branch2b"
  top: "interstellar4c_branch2b"
}
layer {
  name: "interstellar4c_branch2c_s"
  type: "Convolution"
  bottom: "interstellar4c_branch2b"
  top: "interstellar4c_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4c_branch2c"
  type: "Convolution"
  bottom: "interstellar4c_branch2c_s"
  top: "interstellar4c_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4c_branch2c"
  type: "BatchNorm"
  bottom: "interstellar4c_branch2c"
  top: "interstellar4c_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4c_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar4c_branch2c"
  top: "interstellar4c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins4c"
  type: "Eltwise"
  bottom: "interstellar4c_branch2c"
  bottom: "ins4b"
  top: "ins4c"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins4c_relu"
  type: "ReLU"
  bottom: "ins4c"
  top: "ins4c"
}
layer {
  name: "interstellar4d_branch2a_s"
  type: "Convolution"
  bottom: "ins4c"
  top: "interstellar4d_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4d_branch2a"
  type: "Convolution"
  bottom: "interstellar4d_branch2a_s"
  top: "interstellar4d_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4d_branch2a"
  type: "BatchNorm"
  bottom: "interstellar4d_branch2a"
  top: "interstellar4d_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4d_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar4d_branch2a"
  top: "interstellar4d_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4d_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar4d_branch2a"
  top: "interstellar4d_branch2a"
}
layer {
  name: "interstellar4d_branch2b_s"
  type: "Convolution"
  bottom: "interstellar4d_branch2a"
  top: "interstellar4d_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4d_branch2b"
  type: "Convolution"
  bottom: "interstellar4d_branch2b_s"
  top: "interstellar4d_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4d_branch2b"
  type: "BatchNorm"
  bottom: "interstellar4d_branch2b"
  top: "interstellar4d_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4d_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar4d_branch2b"
  top: "interstellar4d_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4d_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar4d_branch2b"
  top: "interstellar4d_branch2b"
}
layer {
  name: "interstellar4d_branch2c_s"
  type: "Convolution"
  bottom: "interstellar4d_branch2b"
  top: "interstellar4d_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4d_branch2c"
  type: "Convolution"
  bottom: "interstellar4d_branch2c_s"
  top: "interstellar4d_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4d_branch2c"
  type: "BatchNorm"
  bottom: "interstellar4d_branch2c"
  top: "interstellar4d_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4d_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar4d_branch2c"
  top: "interstellar4d_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins4d"
  type: "Eltwise"
  bottom: "interstellar4d_branch2c"
  bottom: "ins4c"
  top: "ins4d"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins4d_relu"
  type: "ReLU"
  bottom: "ins4d"
  top: "ins4d"
}
layer {
  name: "interstellar4e_branch2a_s"
  type: "Convolution"
  bottom: "ins4d"
  top: "interstellar4e_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4e_branch2a"
  type: "Convolution"
  bottom: "interstellar4e_branch2a_s"
  top: "interstellar4e_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4e_branch2a"
  type: "BatchNorm"
  bottom: "interstellar4e_branch2a"
  top: "interstellar4e_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4e_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar4e_branch2a"
  top: "interstellar4e_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4e_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar4e_branch2a"
  top: "interstellar4e_branch2a"
}
layer {
  name: "interstellar4e_branch2b_s"
  type: "Convolution"
  bottom: "interstellar4e_branch2a"
  top: "interstellar4e_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4e_branch2b"
  type: "Convolution"
  bottom: "interstellar4e_branch2b_s"
  top: "interstellar4e_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4e_branch2b"
  type: "BatchNorm"
  bottom: "interstellar4e_branch2b"
  top: "interstellar4e_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4e_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar4e_branch2b"
  top: "interstellar4e_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4e_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar4e_branch2b"
  top: "interstellar4e_branch2b"
}
layer {
  name: "interstellar4e_branch2c_s"
  type: "Convolution"
  bottom: "interstellar4e_branch2b"
  top: "interstellar4e_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4e_branch2c"
  type: "Convolution"
  bottom: "interstellar4e_branch2c_s"
  top: "interstellar4e_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4e_branch2c"
  type: "BatchNorm"
  bottom: "interstellar4e_branch2c"
  top: "interstellar4e_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4e_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar4e_branch2c"
  top: "interstellar4e_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins4e"
  type: "Eltwise"
  bottom: "interstellar4e_branch2c"
  bottom: "ins4d"
  top: "ins4e"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins4e_relu"
  type: "ReLU"
  bottom: "ins4e"
  top: "ins4e"
}
layer {
  name: "interstellar4f_branch2a_s"
  type: "Convolution"
  bottom: "ins4e"
  top: "interstellar4f_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4f_branch2a"
  type: "Convolution"
  bottom: "interstellar4f_branch2a_s"
  top: "interstellar4f_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4f_branch2a"
  type: "BatchNorm"
  bottom: "interstellar4f_branch2a"
  top: "interstellar4f_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4f_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar4f_branch2a"
  top: "interstellar4f_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4f_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar4f_branch2a"
  top: "interstellar4f_branch2a"
}
layer {
  name: "interstellar4f_branch2b_s"
  type: "Convolution"
  bottom: "interstellar4f_branch2a"
  top: "interstellar4f_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4f_branch2b"
  type: "Convolution"
  bottom: "interstellar4f_branch2b_s"
  top: "interstellar4f_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4f_branch2b"
  type: "BatchNorm"
  bottom: "interstellar4f_branch2b"
  top: "interstellar4f_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4f_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar4f_branch2b"
  top: "interstellar4f_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar4f_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar4f_branch2b"
  top: "interstellar4f_branch2b"
}
layer {
  name: "interstellar4f_branch2c_s"
  type: "Convolution"
  bottom: "interstellar4f_branch2b"
  top: "interstellar4f_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 512
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar4f_branch2c"
  type: "Convolution"
  bottom: "interstellar4f_branch2c_s"
  top: "interstellar4f_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn4f_branch2c"
  type: "BatchNorm"
  bottom: "interstellar4f_branch2c"
  top: "interstellar4f_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn4f_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar4f_branch2c"
  top: "interstellar4f_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins4f"
  type: "Eltwise"
  bottom: "interstellar4f_branch2c"
  bottom: "ins4e"
  top: "ins4f"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins4f_relu"
  type: "ReLU"
  bottom: "ins4f"
  top: "ins4f"
}
layer {
  name: "interstellar5a_branch1_s"
  type: "Convolution"
  bottom: "ins4f"
  top: "interstellar5a_branch1_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5a_branch1"
  type: "Convolution"
  bottom: "interstellar5a_branch1_s"
  top: "interstellar5a_branch1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5a_branch1"
  type: "BatchNorm"
  bottom: "interstellar5a_branch1"
  top: "interstellar5a_branch1"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5a_branch1_scaleshift"
  type: "Scale"
  bottom: "interstellar5a_branch1"
  top: "interstellar5a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5a_branch2a_s"
  type: "Convolution"
  bottom: "ins4f"
  top: "interstellar5a_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5a_branch2a"
  type: "Convolution"
  bottom: "interstellar5a_branch2a_s"
  top: "interstellar5a_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5a_branch2a"
  type: "BatchNorm"
  bottom: "interstellar5a_branch2a"
  top: "interstellar5a_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5a_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar5a_branch2a"
  top: "interstellar5a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5a_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar5a_branch2a"
  top: "interstellar5a_branch2a"
}
layer {
  name: "interstellar5a_branch2b_s"
  type: "Convolution"
  bottom: "interstellar5a_branch2a"
  top: "interstellar5a_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5a_branch2b"
  type: "Convolution"
  bottom: "interstellar5a_branch2b_s"
  top: "interstellar5a_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5a_branch2b"
  type: "BatchNorm"
  bottom: "interstellar5a_branch2b"
  top: "interstellar5a_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5a_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar5a_branch2b"
  top: "interstellar5a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5a_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar5a_branch2b"
  top: "interstellar5a_branch2b"
}
layer {
  name: "interstellar5a_branch2c_s"
  type: "Convolution"
  bottom: "interstellar5a_branch2b"
  top: "interstellar5a_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5a_branch2c"
  type: "Convolution"
  bottom: "interstellar5a_branch2c_s"
  top: "interstellar5a_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5a_branch2c"
  type: "BatchNorm"
  bottom: "interstellar5a_branch2c"
  top: "interstellar5a_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5a_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar5a_branch2c"
  top: "interstellar5a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins5a"
  type: "Eltwise"
  bottom: "interstellar5a_branch2c"
  bottom: "interstellar5a_branch1"
  top: "ins5a"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins5a_relu"
  type: "ReLU"
  bottom: "ins5a"
  top: "ins5a"
}
layer {
  name: "interstellar5b_branch2a_s"
  type: "Convolution"
  bottom: "ins5a"
  top: "interstellar5b_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2048
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5b_branch2a"
  type: "Convolution"
  bottom: "interstellar5b_branch2a_s"
  top: "interstellar5b_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5b_branch2a"
  type: "BatchNorm"
  bottom: "interstellar5b_branch2a"
  top: "interstellar5b_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5b_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar5b_branch2a"
  top: "interstellar5b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5b_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar5b_branch2a"
  top: "interstellar5b_branch2a"
}
layer {
  name: "interstellar5b_branch2b_s"
  type: "Convolution"
  bottom: "interstellar5b_branch2a"
  top: "interstellar5b_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5b_branch2b"
  type: "Convolution"
  bottom: "interstellar5b_branch2b_s"
  top: "interstellar5b_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5b_branch2b"
  type: "BatchNorm"
  bottom: "interstellar5b_branch2b"
  top: "interstellar5b_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5b_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar5b_branch2b"
  top: "interstellar5b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5b_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar5b_branch2b"
  top: "interstellar5b_branch2b"
}
layer {
  name: "interstellar5b_branch2c_s"
  type: "Convolution"
  bottom: "interstellar5b_branch2b"
  top: "interstellar5b_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5b_branch2c"
  type: "Convolution"
  bottom: "interstellar5b_branch2c_s"
  top: "interstellar5b_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5b_branch2c"
  type: "BatchNorm"
  bottom: "interstellar5b_branch2c"
  top: "interstellar5b_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5b_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar5b_branch2c"
  top: "interstellar5b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins5b"
  type: "Eltwise"
  bottom: "interstellar5b_branch2c"
  bottom: "ins5a"
  top: "ins5b"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins5b_relu"
  type: "ReLU"
  bottom: "ins5b"
  top: "ins5b"
}
layer {
  name: "interstellar5c_branch2a_s"
  type: "Convolution"
  bottom: "ins5b"
  top: "interstellar5c_branch2a_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 2048
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5c_branch2a"
  type: "Convolution"
  bottom: "interstellar5c_branch2a_s"
  top: "interstellar5c_branch2a"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5c_branch2a"
  type: "BatchNorm"
  bottom: "interstellar5c_branch2a"
  top: "interstellar5c_branch2a"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5c_branch2a_scaleshift"
  type: "Scale"
  bottom: "interstellar5c_branch2a"
  top: "interstellar5c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5c_branch2a_relu"
  type: "ReLU"
  bottom: "interstellar5c_branch2a"
  top: "interstellar5c_branch2a"
}
layer {
  name: "interstellar5c_branch2b_s"
  type: "Convolution"
  bottom: "interstellar5c_branch2a"
  top: "interstellar5c_branch2b_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5c_branch2b"
  type: "Convolution"
  bottom: "interstellar5c_branch2b_s"
  top: "interstellar5c_branch2b"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5c_branch2b"
  type: "BatchNorm"
  bottom: "interstellar5c_branch2b"
  top: "interstellar5c_branch2b"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5c_branch2b_scaleshift"
  type: "Scale"
  bottom: "interstellar5c_branch2b"
  top: "interstellar5c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "interstellar5c_branch2b_relu"
  type: "ReLU"
  bottom: "interstellar5c_branch2b"
  top: "interstellar5c_branch2b"
}
layer {
  name: "interstellar5c_branch2c_s"
  type: "Convolution"
  bottom: "interstellar5c_branch2b"
  top: "interstellar5c_branch2c_s"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1024
    stride: 1
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "interstellar5c_branch2c"
  type: "Convolution"
  bottom: "interstellar5c_branch2c_s"
  top: "interstellar5c_branch2c"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "bn5c_branch2c"
  type: "BatchNorm"
  bottom: "interstellar5c_branch2c"
  top: "interstellar5c_branch2c"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
}
layer {
  name: "bn5c_branch2c_scaleshift"
  type: "Scale"
  bottom: "interstellar5c_branch2c"
  top: "interstellar5c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ins5c"
  type: "Eltwise"
  bottom: "interstellar5c_branch2c"
  bottom: "ins5b"
  top: "ins5c"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "ins5c_relu"
  type: "ReLU"
  bottom: "ins5c"
  top: "ins5c"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "ins5c"
  top: "pool5"
  pooling_param {
    pool: AVE
    kernel_size: 7
    global_pooling: false
  }
}
layer {
  name: "fc1000"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc1000"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 1000
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "loss_softmax"
  type: "SoftmaxWithLoss"
  bottom: "fc1000"
  bottom: "label"
  top: "loss_softmax"
}

layer {
  bottom: "fc1000"
  bottom: "label"
  top: "accuracy@1"
  name: "accuracy/top1"
  type: "Accuracy"
  accuracy_param {
    top_k: 1
  }
  include {
    phase: TEST
  }
}
layer {
  bottom: "fc1000"
  bottom: "label"
  top: "accuracy@5"
  name: "accuracy/top5"
  type: "Accuracy"
  accuracy_param {
    top_k: 5
  }
  include {
    phase: TEST
  }
}