SqueezeNet_trainval.prototxt

name: "FireNet"
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    mirror: true
    crop_size: 227
    mean_value: 104
    mean_value: 117
    mean_value: 123
  }
  data_param {
    source: "/ssd/dataset/ilsvrc12_train_lmdb/"
    batch_size: 32
    backend: LMDB
  }
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
    mirror: false
    crop_size: 227
    mean_value: 104
    mean_value: 117
    mean_value: 123
  }
  data_param {
    source: "/ssd/dataset/ilsvrc12_val_lmdb/"
    batch_size: 50
    backend: LMDB
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 96
    kernel_size: 7
    stride: 2
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "relu_conv1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire2/conv1x1_1"
  type: "Convolution"
  bottom: "pool1"
  top: "fire2/conv1x1_1"
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire2/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire2/conv1x1_1"
  top: "fire2/conv1x1_1"
}
layer {
  name: "fire2/conv1x1_2"
  type: "Convolution"
  bottom: "fire2/conv1x1_1"
  top: "fire2/conv1x1_2"
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire2/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire2/conv1x1_2"
  top: "fire2/conv1x1_2"
}
layer {
  name: "fire2/conv3x3_2"
  type: "Convolution"
  bottom: "fire2/conv1x1_1"
  top: "fire2/conv3x3_2"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire2/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire2/conv3x3_2"
  top: "fire2/conv3x3_2"
}
layer {
  name: "fire2/concat"
  type: "Concat"
  bottom: "fire2/conv1x1_2"
  bottom: "fire2/conv3x3_2"
  top: "fire2/concat"
}
layer {
  name: "fire3/conv1x1_1"
  type: "Convolution"
  bottom: "fire2/concat"
  top: "fire3/conv1x1_1"
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire3/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire3/conv1x1_1"
  top: "fire3/conv1x1_1"
}
layer {
  name: "fire3/conv1x1_2"
  type: "Convolution"
  bottom: "fire3/conv1x1_1"
  top: "fire3/conv1x1_2"
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire3/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire3/conv1x1_2"
  top: "fire3/conv1x1_2"
}
layer {
  name: "fire3/conv3x3_2"
  type: "Convolution"
  bottom: "fire3/conv1x1_1"
  top: "fire3/conv3x3_2"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire3/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire3/conv3x3_2"
  top: "fire3/conv3x3_2"
}
layer {
  name: "fire3/concat"
  type: "Concat"
  bottom: "fire3/conv1x1_2"
  bottom: "fire3/conv3x3_2"
  top: "fire3/concat"
}
layer {
  name: "fire4/conv1x1_1"
  type: "Convolution"
  bottom: "fire3/concat"
  top: "fire4/conv1x1_1"
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire4/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire4/conv1x1_1"
  top: "fire4/conv1x1_1"
}
layer {
  name: "fire4/conv1x1_2"
  type: "Convolution"
  bottom: "fire4/conv1x1_1"
  top: "fire4/conv1x1_2"
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire4/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire4/conv1x1_2"
  top: "fire4/conv1x1_2"
}
layer {
  name: "fire4/conv3x3_2"
  type: "Convolution"
  bottom: "fire4/conv1x1_1"
  top: "fire4/conv3x3_2"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire4/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire4/conv3x3_2"
  top: "fire4/conv3x3_2"
}
layer {
  name: "fire4/concat"
  type: "Concat"
  bottom: "fire4/conv1x1_2"
  bottom: "fire4/conv3x3_2"
  top: "fire4/concat"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "fire4/concat"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire5/conv1x1_1"
  type: "Convolution"
  bottom: "pool4"
  top: "fire5/conv1x1_1"
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire5/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire5/conv1x1_1"
  top: "fire5/conv1x1_1"
}
layer {
  name: "fire5/conv1x1_2"
  type: "Convolution"
  bottom: "fire5/conv1x1_1"
  top: "fire5/conv1x1_2"
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire5/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire5/conv1x1_2"
  top: "fire5/conv1x1_2"
}
layer {
  name: "fire5/conv3x3_2"
  type: "Convolution"
  bottom: "fire5/conv1x1_1"
  top: "fire5/conv3x3_2"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire5/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire5/conv3x3_2"
  top: "fire5/conv3x3_2"
}
layer {
  name: "fire5/concat"
  type: "Concat"
  bottom: "fire5/conv1x1_2"
  bottom: "fire5/conv3x3_2"
  top: "fire5/concat"
}
layer {
  name: "fire6/conv1x1_1"
  type: "Convolution"
  bottom: "fire5/concat"
  top: "fire6/conv1x1_1"
  convolution_param {
    num_output: 48
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire6/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire6/conv1x1_1"
  top: "fire6/conv1x1_1"
}
layer {
  name: "fire6/conv1x1_2"
  type: "Convolution"
  bottom: "fire6/conv1x1_1"
  top: "fire6/conv1x1_2"
  convolution_param {
    num_output: 192
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire6/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire6/conv1x1_2"
  top: "fire6/conv1x1_2"
}
layer {
  name: "fire6/conv3x3_2"
  type: "Convolution"
  bottom: "fire6/conv1x1_1"
  top: "fire6/conv3x3_2"
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire6/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire6/conv3x3_2"
  top: "fire6/conv3x3_2"
}
layer {
  name: "fire6/concat"
  type: "Concat"
  bottom: "fire6/conv1x1_2"
  bottom: "fire6/conv3x3_2"
  top: "fire6/concat"
}
layer {
  name: "fire7/conv1x1_1"
  type: "Convolution"
  bottom: "fire6/concat"
  top: "fire7/conv1x1_1"
  convolution_param {
    num_output: 48
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire7/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire7/conv1x1_1"
  top: "fire7/conv1x1_1"
}
layer {
  name: "fire7/conv1x1_2"
  type: "Convolution"
  bottom: "fire7/conv1x1_1"
  top: "fire7/conv1x1_2"
  convolution_param {
    num_output: 192
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire7/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire7/conv1x1_2"
  top: "fire7/conv1x1_2"
}
layer {
  name: "fire7/conv3x3_2"
  type: "Convolution"
  bottom: "fire7/conv1x1_1"
  top: "fire7/conv3x3_2"
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire7/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire7/conv3x3_2"
  top: "fire7/conv3x3_2"
}
layer {
  name: "fire7/concat"
  type: "Concat"
  bottom: "fire7/conv1x1_2"
  bottom: "fire7/conv3x3_2"
  top: "fire7/concat"
}
layer {
  name: "fire8/conv1x1_1"
  type: "Convolution"
  bottom: "fire7/concat"
  top: "fire8/conv1x1_1"
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire8/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire8/conv1x1_1"
  top: "fire8/conv1x1_1"
}
layer {
  name: "fire8/conv1x1_2"
  type: "Convolution"
  bottom: "fire8/conv1x1_1"
  top: "fire8/conv1x1_2"
  convolution_param {
    num_output: 256
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire8/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire8/conv1x1_2"
  top: "fire8/conv1x1_2"
}
layer {
  name: "fire8/conv3x3_2"
  type: "Convolution"
  bottom: "fire8/conv1x1_1"
  top: "fire8/conv3x3_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire8/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire8/conv3x3_2"
  top: "fire8/conv3x3_2"
}
layer {
  name: "fire8/concat"
  type: "Concat"
  bottom: "fire8/conv1x1_2"
  bottom: "fire8/conv3x3_2"
  top: "fire8/concat"
}
layer {
  name: "pool8"
  type: "Pooling"
  bottom: "fire8/concat"
  top: "pool8"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fire9/conv1x1_1"
  type: "Convolution"
  bottom: "pool8"
  top: "fire9/conv1x1_1"
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire9/relu_conv1x1_1"
  type: "ReLU"
  bottom: "fire9/conv1x1_1"
  top: "fire9/conv1x1_1"
}
layer {
  name: "fire9/conv1x1_2"
  type: "Convolution"
  bottom: "fire9/conv1x1_1"
  top: "fire9/conv1x1_2"
  convolution_param {
    num_output: 256
    kernel_size: 1
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire9/relu_conv1x1_2"
  type: "ReLU"
  bottom: "fire9/conv1x1_2"
  top: "fire9/conv1x1_2"
}
layer {
  name: "fire9/conv3x3_2"
  type: "Convolution"
  bottom: "fire9/conv1x1_1"
  top: "fire9/conv3x3_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "fire9/relu_conv3x3_2"
  type: "ReLU"
  bottom: "fire9/conv3x3_2"
  top: "fire9/conv3x3_2"
}
layer {
  name: "fire9/concat"
  type: "Concat"
  bottom: "fire9/conv1x1_2"
  bottom: "fire9/conv3x3_2"
  top: "fire9/concat"
}
layer {
  name: "drop9"
  type: "Dropout"
  bottom: "fire9/concat"
  top: "fire9/concat"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "conv_final"
  type: "Convolution"
  bottom: "fire9/concat"
  top: "conv_final"
  convolution_param {
    num_output: 1000
    pad: 1
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      mean: 0.0
      std: 0.01
    }
  }
}
layer {
  name: "relu_conv_final"
  type: "ReLU"
  bottom: "conv_final"
  top: "conv_final"
}
layer {
  name: "pool_final"
  type: "Pooling"
  bottom: "conv_final"
  top: "pool_final"
  pooling_param {
    pool: AVE
    global_pooling: true
  }
}


# loss, top1, top5
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "pool_final"
  bottom: "label"
  top: "loss"
  include {
#    phase: TRAIN
  }
}
layer {
  name: "accuracy_top1"
  type: "Accuracy"
  bottom: "pool_final"
  bottom: "label"
  top: "accuracy_top1"
  include {
    # phase: TEST
  }
  accuracy_param {
    top_k: 1
  }
}
layer {
  name: "accuracy_top5"
  type: "Accuracy"
  bottom: "pool_final"
  bottom: "label"
  top: "accuracy_top5"
  include {
    # phase: TEST
  }
  accuracy_param {
    top_k: 5
  }
}