text: name: "CaffeNet"
  layer {
    name: "data"
    type: "Data"
    top: "data"
    top: "label"
    include {
      phase: TRAIN
    }
    transform_param {
      mirror: true
      crop_size: 227
      mean_file: "/cvgl/u/hsong/cache/imagenet_mean.binaryproto"
    }
    data_param {
      source: "/cvgl/u/hsong/ebay/cache/training_set_cars196_multilabel_m128.lmdb"
      batch_size: 128
      backend: LMDB
    }
  }
  layer {
    name: "conv1/7x7_s2"
    type: "Convolution"
    bottom: "data"
    top: "conv1/7x7_s2"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      pad: 3
      kernel_size: 7
      stride: 2
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "conv1/relu_7x7"
    type: "ReLU"
    bottom: "conv1/7x7_s2"
    top: "conv1/7x7_s2"
  }
  layer {
    name: "pool1/3x3_s2"
    type: "Pooling"
    bottom: "conv1/7x7_s2"
    top: "pool1/3x3_s2"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 2
    }
  }
  layer {
    name: "pool1/norm1"
    type: "LRN"
    bottom: "pool1/3x3_s2"
    top: "pool1/norm1"
    lrn_param {
      local_size: 5
      alpha: 0.0001
      beta: 0.75
    }
  }
  layer {
    name: "conv2/3x3_reduce"
    type: "Convolution"
    bottom: "pool1/norm1"
    top: "conv2/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "conv2/relu_3x3_reduce"
    type: "ReLU"
    bottom: "conv2/3x3_reduce"
    top: "conv2/3x3_reduce"
  }
  layer {
    name: "conv2/3x3"
    type: "Convolution"
    bottom: "conv2/3x3_reduce"
    top: "conv2/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 192
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "conv2/relu_3x3"
    type: "ReLU"
    bottom: "conv2/3x3"
    top: "conv2/3x3"
  }
  layer {
    name: "conv2/norm2"
    type: "LRN"
    bottom: "conv2/3x3"
    top: "conv2/norm2"
    lrn_param {
      local_size: 5
      alpha: 0.0001
      beta: 0.75
    }
  }
  layer {
    name: "pool2/3x3_s2"
    type: "Pooling"
    bottom: "conv2/norm2"
    top: "pool2/3x3_s2"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 2
    }
  }
  layer {
    name: "inception_3a/1x1"
    type: "Convolution"
    bottom: "pool2/3x3_s2"
    top: "inception_3a/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3a/relu_1x1"
    type: "ReLU"
    bottom: "inception_3a/1x1"
    top: "inception_3a/1x1"
  }
  layer {
    name: "inception_3a/3x3_reduce"
    type: "Convolution"
    bottom: "pool2/3x3_s2"
    top: "inception_3a/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 96
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3a/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_3a/3x3_reduce"
    top: "inception_3a/3x3_reduce"
  }
  layer {
    name: "inception_3a/3x3"
    type: "Convolution"
    bottom: "inception_3a/3x3_reduce"
    top: "inception_3a/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3a/relu_3x3"
    type: "ReLU"
    bottom: "inception_3a/3x3"
    top: "inception_3a/3x3"
  }
  layer {
    name: "inception_3a/5x5_reduce"
    type: "Convolution"
    bottom: "pool2/3x3_s2"
    top: "inception_3a/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 16
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3a/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_3a/5x5_reduce"
    top: "inception_3a/5x5_reduce"
  }
  layer {
    name: "inception_3a/5x5"
    type: "Convolution"
    bottom: "inception_3a/5x5_reduce"
    top: "inception_3a/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 32
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3a/relu_5x5"
    type: "ReLU"
    bottom: "inception_3a/5x5"
    top: "inception_3a/5x5"
  }
  layer {
    name: "inception_3a/pool"
    type: "Pooling"
    bottom: "pool2/3x3_s2"
    top: "inception_3a/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_3a/pool_proj"
    type: "Convolution"
    bottom: "inception_3a/pool"
    top: "inception_3a/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 32
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3a/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_3a/pool_proj"
    top: "inception_3a/pool_proj"
  }
  layer {
    name: "inception_3a/output"
    type: "Concat"
    bottom: "inception_3a/1x1"
    bottom: "inception_3a/3x3"
    bottom: "inception_3a/5x5"
    bottom: "inception_3a/pool_proj"
    top: "inception_3a/output"
  }
  layer {
    name: "inception_3b/1x1"
    type: "Convolution"
    bottom: "inception_3a/output"
    top: "inception_3b/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3b/relu_1x1"
    type: "ReLU"
    bottom: "inception_3b/1x1"
    top: "inception_3b/1x1"
  }
  layer {
    name: "inception_3b/3x3_reduce"
    type: "Convolution"
    bottom: "inception_3a/output"
    top: "inception_3b/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3b/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_3b/3x3_reduce"
    top: "inception_3b/3x3_reduce"
  }
  layer {
    name: "inception_3b/3x3"
    type: "Convolution"
    bottom: "inception_3b/3x3_reduce"
    top: "inception_3b/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 192
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3b/relu_3x3"
    type: "ReLU"
    bottom: "inception_3b/3x3"
    top: "inception_3b/3x3"
  }
  layer {
    name: "inception_3b/5x5_reduce"
    type: "Convolution"
    bottom: "inception_3a/output"
    top: "inception_3b/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 32
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3b/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_3b/5x5_reduce"
    top: "inception_3b/5x5_reduce"
  }
  layer {
    name: "inception_3b/5x5"
    type: "Convolution"
    bottom: "inception_3b/5x5_reduce"
    top: "inception_3b/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 96
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3b/relu_5x5"
    type: "ReLU"
    bottom: "inception_3b/5x5"
    top: "inception_3b/5x5"
  }
  layer {
    name: "inception_3b/pool"
    type: "Pooling"
    bottom: "inception_3a/output"
    top: "inception_3b/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_3b/pool_proj"
    type: "Convolution"
    bottom: "inception_3b/pool"
    top: "inception_3b/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_3b/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_3b/pool_proj"
    top: "inception_3b/pool_proj"
  }
  layer {
    name: "inception_3b/output"
    type: "Concat"
    bottom: "inception_3b/1x1"
    bottom: "inception_3b/3x3"
    bottom: "inception_3b/5x5"
    bottom: "inception_3b/pool_proj"
    top: "inception_3b/output"
  }
  layer {
    name: "pool3/3x3_s2"
    type: "Pooling"
    bottom: "inception_3b/output"
    top: "pool3/3x3_s2"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 2
    }
  }
  layer {
    name: "inception_4a/1x1"
    type: "Convolution"
    bottom: "pool3/3x3_s2"
    top: "inception_4a/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 192
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4a/relu_1x1"
    type: "ReLU"
    bottom: "inception_4a/1x1"
    top: "inception_4a/1x1"
  }
  layer {
    name: "inception_4a/3x3_reduce"
    type: "Convolution"
    bottom: "pool3/3x3_s2"
    top: "inception_4a/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 96
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4a/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_4a/3x3_reduce"
    top: "inception_4a/3x3_reduce"
  }
  layer {
    name: "inception_4a/3x3"
    type: "Convolution"
    bottom: "inception_4a/3x3_reduce"
    top: "inception_4a/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 208
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4a/relu_3x3"
    type: "ReLU"
    bottom: "inception_4a/3x3"
    top: "inception_4a/3x3"
  }
  layer {
    name: "inception_4a/5x5_reduce"
    type: "Convolution"
    bottom: "pool3/3x3_s2"
    top: "inception_4a/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 16
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4a/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_4a/5x5_reduce"
    top: "inception_4a/5x5_reduce"
  }
  layer {
    name: "inception_4a/5x5"
    type: "Convolution"
    bottom: "inception_4a/5x5_reduce"
    top: "inception_4a/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 48
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4a/relu_5x5"
    type: "ReLU"
    bottom: "inception_4a/5x5"
    top: "inception_4a/5x5"
  }
  layer {
    name: "inception_4a/pool"
    type: "Pooling"
    bottom: "pool3/3x3_s2"
    top: "inception_4a/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_4a/pool_proj"
    type: "Convolution"
    bottom: "inception_4a/pool"
    top: "inception_4a/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4a/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_4a/pool_proj"
    top: "inception_4a/pool_proj"
  }
  layer {
    name: "inception_4a/output"
    type: "Concat"
    bottom: "inception_4a/1x1"
    bottom: "inception_4a/3x3"
    bottom: "inception_4a/5x5"
    bottom: "inception_4a/pool_proj"
    top: "inception_4a/output"
  }
  layer {
    name: "inception_4b/1x1"
    type: "Convolution"
    bottom: "inception_4a/output"
    top: "inception_4b/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 160
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4b/relu_1x1"
    type: "ReLU"
    bottom: "inception_4b/1x1"
    top: "inception_4b/1x1"
  }
  layer {
    name: "inception_4b/3x3_reduce"
    type: "Convolution"
    bottom: "inception_4a/output"
    top: "inception_4b/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 112
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4b/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_4b/3x3_reduce"
    top: "inception_4b/3x3_reduce"
  }
  layer {
    name: "inception_4b/3x3"
    type: "Convolution"
    bottom: "inception_4b/3x3_reduce"
    top: "inception_4b/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 224
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4b/relu_3x3"
    type: "ReLU"
    bottom: "inception_4b/3x3"
    top: "inception_4b/3x3"
  }
  layer {
    name: "inception_4b/5x5_reduce"
    type: "Convolution"
    bottom: "inception_4a/output"
    top: "inception_4b/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 24
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4b/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_4b/5x5_reduce"
    top: "inception_4b/5x5_reduce"
  }
  layer {
    name: "inception_4b/5x5"
    type: "Convolution"
    bottom: "inception_4b/5x5_reduce"
    top: "inception_4b/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4b/relu_5x5"
    type: "ReLU"
    bottom: "inception_4b/5x5"
    top: "inception_4b/5x5"
  }
  layer {
    name: "inception_4b/pool"
    type: "Pooling"
    bottom: "inception_4a/output"
    top: "inception_4b/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_4b/pool_proj"
    type: "Convolution"
    bottom: "inception_4b/pool"
    top: "inception_4b/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4b/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_4b/pool_proj"
    top: "inception_4b/pool_proj"
  }
  layer {
    name: "inception_4b/output"
    type: "Concat"
    bottom: "inception_4b/1x1"
    bottom: "inception_4b/3x3"
    bottom: "inception_4b/5x5"
    bottom: "inception_4b/pool_proj"
    top: "inception_4b/output"
  }
  layer {
    name: "inception_4c/1x1"
    type: "Convolution"
    bottom: "inception_4b/output"
    top: "inception_4c/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4c/relu_1x1"
    type: "ReLU"
    bottom: "inception_4c/1x1"
    top: "inception_4c/1x1"
  }
  layer {
    name: "inception_4c/3x3_reduce"
    type: "Convolution"
    bottom: "inception_4b/output"
    top: "inception_4c/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4c/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_4c/3x3_reduce"
    top: "inception_4c/3x3_reduce"
  }
  layer {
    name: "inception_4c/3x3"
    type: "Convolution"
    bottom: "inception_4c/3x3_reduce"
    top: "inception_4c/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 256
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4c/relu_3x3"
    type: "ReLU"
    bottom: "inception_4c/3x3"
    top: "inception_4c/3x3"
  }
  layer {
    name: "inception_4c/5x5_reduce"
    type: "Convolution"
    bottom: "inception_4b/output"
    top: "inception_4c/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 24
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4c/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_4c/5x5_reduce"
    top: "inception_4c/5x5_reduce"
  }
  layer {
    name: "inception_4c/5x5"
    type: "Convolution"
    bottom: "inception_4c/5x5_reduce"
    top: "inception_4c/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4c/relu_5x5"
    type: "ReLU"
    bottom: "inception_4c/5x5"
    top: "inception_4c/5x5"
  }
  layer {
    name: "inception_4c/pool"
    type: "Pooling"
    bottom: "inception_4b/output"
    top: "inception_4c/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_4c/pool_proj"
    type: "Convolution"
    bottom: "inception_4c/pool"
    top: "inception_4c/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4c/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_4c/pool_proj"
    top: "inception_4c/pool_proj"
  }
  layer {
    name: "inception_4c/output"
    type: "Concat"
    bottom: "inception_4c/1x1"
    bottom: "inception_4c/3x3"
    bottom: "inception_4c/5x5"
    bottom: "inception_4c/pool_proj"
    top: "inception_4c/output"
  }
  layer {
    name: "inception_4d/1x1"
    type: "Convolution"
    bottom: "inception_4c/output"
    top: "inception_4d/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 112
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4d/relu_1x1"
    type: "ReLU"
    bottom: "inception_4d/1x1"
    top: "inception_4d/1x1"
  }
  layer {
    name: "inception_4d/3x3_reduce"
    type: "Convolution"
    bottom: "inception_4c/output"
    top: "inception_4d/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 144
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4d/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_4d/3x3_reduce"
    top: "inception_4d/3x3_reduce"
  }
  layer {
    name: "inception_4d/3x3"
    type: "Convolution"
    bottom: "inception_4d/3x3_reduce"
    top: "inception_4d/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 288
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4d/relu_3x3"
    type: "ReLU"
    bottom: "inception_4d/3x3"
    top: "inception_4d/3x3"
  }
  layer {
    name: "inception_4d/5x5_reduce"
    type: "Convolution"
    bottom: "inception_4c/output"
    top: "inception_4d/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 32
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4d/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_4d/5x5_reduce"
    top: "inception_4d/5x5_reduce"
  }
  layer {
    name: "inception_4d/5x5"
    type: "Convolution"
    bottom: "inception_4d/5x5_reduce"
    top: "inception_4d/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4d/relu_5x5"
    type: "ReLU"
    bottom: "inception_4d/5x5"
    top: "inception_4d/5x5"
  }
  layer {
    name: "inception_4d/pool"
    type: "Pooling"
    bottom: "inception_4c/output"
    top: "inception_4d/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_4d/pool_proj"
    type: "Convolution"
    bottom: "inception_4d/pool"
    top: "inception_4d/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 64
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4d/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_4d/pool_proj"
    top: "inception_4d/pool_proj"
  }
  layer {
    name: "inception_4d/output"
    type: "Concat"
    bottom: "inception_4d/1x1"
    bottom: "inception_4d/3x3"
    bottom: "inception_4d/5x5"
    bottom: "inception_4d/pool_proj"
    top: "inception_4d/output"
  }
  layer {
    name: "inception_4e/1x1"
    type: "Convolution"
    bottom: "inception_4d/output"
    top: "inception_4e/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 256
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4e/relu_1x1"
    type: "ReLU"
    bottom: "inception_4e/1x1"
    top: "inception_4e/1x1"
  }
  layer {
    name: "inception_4e/3x3_reduce"
    type: "Convolution"
    bottom: "inception_4d/output"
    top: "inception_4e/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 160
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4e/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_4e/3x3_reduce"
    top: "inception_4e/3x3_reduce"
  }
  layer {
    name: "inception_4e/3x3"
    type: "Convolution"
    bottom: "inception_4e/3x3_reduce"
    top: "inception_4e/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 320
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4e/relu_3x3"
    type: "ReLU"
    bottom: "inception_4e/3x3"
    top: "inception_4e/3x3"
  }
  layer {
    name: "inception_4e/5x5_reduce"
    type: "Convolution"
    bottom: "inception_4d/output"
    top: "inception_4e/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 32
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4e/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_4e/5x5_reduce"
    top: "inception_4e/5x5_reduce"
  }
  layer {
    name: "inception_4e/5x5"
    type: "Convolution"
    bottom: "inception_4e/5x5_reduce"
    top: "inception_4e/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4e/relu_5x5"
    type: "ReLU"
    bottom: "inception_4e/5x5"
    top: "inception_4e/5x5"
  }
  layer {
    name: "inception_4e/pool"
    type: "Pooling"
    bottom: "inception_4d/output"
    top: "inception_4e/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_4e/pool_proj"
    type: "Convolution"
    bottom: "inception_4e/pool"
    top: "inception_4e/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_4e/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_4e/pool_proj"
    top: "inception_4e/pool_proj"
  }
  layer {
    name: "inception_4e/output"
    type: "Concat"
    bottom: "inception_4e/1x1"
    bottom: "inception_4e/3x3"
    bottom: "inception_4e/5x5"
    bottom: "inception_4e/pool_proj"
    top: "inception_4e/output"
  }
  layer {
    name: "pool4/3x3_s2"
    type: "Pooling"
    bottom: "inception_4e/output"
    top: "pool4/3x3_s2"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 2
    }
  }
  layer {
    name: "inception_5a/1x1"
    type: "Convolution"
    bottom: "pool4/3x3_s2"
    top: "inception_5a/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 256
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5a/relu_1x1"
    type: "ReLU"
    bottom: "inception_5a/1x1"
    top: "inception_5a/1x1"
  }
  layer {
    name: "inception_5a/3x3_reduce"
    type: "Convolution"
    bottom: "pool4/3x3_s2"
    top: "inception_5a/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 160
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5a/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_5a/3x3_reduce"
    top: "inception_5a/3x3_reduce"
  }
  layer {
    name: "inception_5a/3x3"
    type: "Convolution"
    bottom: "inception_5a/3x3_reduce"
    top: "inception_5a/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 320
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5a/relu_3x3"
    type: "ReLU"
    bottom: "inception_5a/3x3"
    top: "inception_5a/3x3"
  }
  layer {
    name: "inception_5a/5x5_reduce"
    type: "Convolution"
    bottom: "pool4/3x3_s2"
    top: "inception_5a/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 32
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5a/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_5a/5x5_reduce"
    top: "inception_5a/5x5_reduce"
  }
  layer {
    name: "inception_5a/5x5"
    type: "Convolution"
    bottom: "inception_5a/5x5_reduce"
    top: "inception_5a/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5a/relu_5x5"
    type: "ReLU"
    bottom: "inception_5a/5x5"
    top: "inception_5a/5x5"
  }
  layer {
    name: "inception_5a/pool"
    type: "Pooling"
    bottom: "pool4/3x3_s2"
    top: "inception_5a/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_5a/pool_proj"
    type: "Convolution"
    bottom: "inception_5a/pool"
    top: "inception_5a/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5a/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_5a/pool_proj"
    top: "inception_5a/pool_proj"
  }
  layer {
    name: "inception_5a/output"
    type: "Concat"
    bottom: "inception_5a/1x1"
    bottom: "inception_5a/3x3"
    bottom: "inception_5a/5x5"
    bottom: "inception_5a/pool_proj"
    top: "inception_5a/output"
  }
  layer {
    name: "inception_5b/1x1"
    type: "Convolution"
    bottom: "inception_5a/output"
    top: "inception_5b/1x1"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 384
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5b/relu_1x1"
    type: "ReLU"
    bottom: "inception_5b/1x1"
    top: "inception_5b/1x1"
  }
  layer {
    name: "inception_5b/3x3_reduce"
    type: "Convolution"
    bottom: "inception_5a/output"
    top: "inception_5b/3x3_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 192
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.09
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5b/relu_3x3_reduce"
    type: "ReLU"
    bottom: "inception_5b/3x3_reduce"
    top: "inception_5b/3x3_reduce"
  }
  layer {
    name: "inception_5b/3x3"
    type: "Convolution"
    bottom: "inception_5b/3x3_reduce"
    top: "inception_5b/3x3"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 384
      pad: 1
      kernel_size: 3
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5b/relu_3x3"
    type: "ReLU"
    bottom: "inception_5b/3x3"
    top: "inception_5b/3x3"
  }
  layer {
    name: "inception_5b/5x5_reduce"
    type: "Convolution"
    bottom: "inception_5a/output"
    top: "inception_5b/5x5_reduce"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 48
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.2
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5b/relu_5x5_reduce"
    type: "ReLU"
    bottom: "inception_5b/5x5_reduce"
    top: "inception_5b/5x5_reduce"
  }
  layer {
    name: "inception_5b/5x5"
    type: "Convolution"
    bottom: "inception_5b/5x5_reduce"
    top: "inception_5b/5x5"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      pad: 2
      kernel_size: 5
      weight_filler {
        type: "xavier"
        std: 0.03
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5b/relu_5x5"
    type: "ReLU"
    bottom: "inception_5b/5x5"
    top: "inception_5b/5x5"
  }
  layer {
    name: "inception_5b/pool"
    type: "Pooling"
    bottom: "inception_5a/output"
    top: "inception_5b/pool"
    pooling_param {
      pool: MAX
      kernel_size: 3
      stride: 1
      pad: 1
    }
  }
  layer {
    name: "inception_5b/pool_proj"
    type: "Convolution"
    bottom: "inception_5b/pool"
    top: "inception_5b/pool_proj"
    param {
      lr_mult: 1
      decay_mult: 1
    }
    param {
      lr_mult: 2
      decay_mult: 0
    }
    convolution_param {
      num_output: 128
      kernel_size: 1
      weight_filler {
        type: "xavier"
        std: 0.1
      }
      bias_filler {
        type: "constant"
        value: 0.2
      }
    }
  }
  layer {
    name: "inception_5b/relu_pool_proj"
    type: "ReLU"
    bottom: "inception_5b/pool_proj"
    top: "inception_5b/pool_proj"
  }
  layer {
    name: "inception_5b/output"
    type: "Concat"
    bottom: "inception_5b/1x1"
    bottom: "inception_5b/3x3"
    bottom: "inception_5b/5x5"
    bottom: "inception_5b/pool_proj"
    top: "inception_5b/output"
  }
  layer {
    name: "pool5/7x7_s1"
    type: "Pooling"
    bottom: "inception_5b/output"
    top: "pool5/7x7_s1"
    pooling_param {
      pool: AVE
      kernel_size: 7
      stride: 1
    }
  }
  layer {
    name: "pool5/drop_7x7_s1"
    type: "Dropout"
    bottom: "pool5/7x7_s1"
    top: "pool5/7x7_s1"
    dropout_param {
      dropout_ratio: 0.4
    }
  }
  layer {
    name: "fc_embedding"
    type: "InnerProduct"
    bottom: "pool5/7x7_s1"
    top: "fc_embedding"
    param {
      lr_mult: 10
      decay_mult: 1
    }
    param {
      lr_mult: 20
      decay_mult: 0
    }
    inner_product_param {
      num_output: 64
      weight_filler {
        type: "xavier"
      }
      bias_filler {
        type: "constant"
        value: 0
      }
    }
  }
  layer {
    name: "loss"
    type: "LiftedStructSimilaritySoftmaxLoss"
    bottom: "fc_embedding"
    bottom: "label"
    top: "loss"
    lifted_struct_sim_softmax_loss_param {
      margin: 1
    }
  }
  
  