deploy.prototxt

name: "ResNet-50"
layer {
  name: "data"
  type: "DummyData"
  top: "data"
  dummy_data_param {
    data_filler {
      type: "constant"
      value: 0.0099999997764825821
    }
    shape {
      dim: $#batch_size#$
      dim: 3
      dim: 224
      dim: 224
    }
  }
}
layer {
  name: "data"
  type: "DummyData"
  top: "label"
  dummy_data_param {
    data_filler {
      type: "constant"
    }
    shape {
      dim: 1
    }
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 64
    pad: 3
    kernel_size: 7
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn_conv1"
  type: "BatchNorm"
  bottom: "conv1"
  top: "conv1"
  batch_norm_param {
  }
}
layer {
  name: "scale_conv1"
  type: "Scale"
  bottom: "conv1"
  top: "conv1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "conv1_relu"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
  relu_param {
  }
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "res2a_branch1"
  type: "Convolution"
  bottom: "pool1"
  top: "res2a_branch1"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2a_branch1"
  type: "BatchNorm"
  bottom: "res2a_branch1"
  top: "res2a_branch1"
  batch_norm_param {
  }
}
layer {
  name: "scale2a_branch1"
  type: "Scale"
  bottom: "res2a_branch1"
  top: "res2a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2a_branch2a"
  type: "Convolution"
  bottom: "pool1"
  top: "res2a_branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2a_branch2a"
  type: "BatchNorm"
  bottom: "res2a_branch2a"
  top: "res2a_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale2a_branch2a"
  type: "Scale"
  bottom: "res2a_branch2a"
  top: "res2a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2a_branch2a_relu"
  type: "ReLU"
  bottom: "res2a_branch2a"
  top: "res2a_branch2a"
  relu_param {
  }
}
layer {
  name: "res2a_branch2b"
  type: "Convolution"
  bottom: "res2a_branch2a"
  top: "res2a_branch2b"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2a_branch2b"
  type: "BatchNorm"
  bottom: "res2a_branch2b"
  top: "res2a_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale2a_branch2b"
  type: "Scale"
  bottom: "res2a_branch2b"
  top: "res2a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2a_branch2b_relu"
  type: "ReLU"
  bottom: "res2a_branch2b"
  top: "res2a_branch2b"
  relu_param {
  }
}
layer {
  name: "res2a_branch2c"
  type: "Convolution"
  bottom: "res2a_branch2b"
  top: "res2a_branch2c"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2a_branch2c"
  type: "BatchNorm"
  bottom: "res2a_branch2c"
  top: "res2a_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale2a_branch2c"
  type: "Scale"
  bottom: "res2a_branch2c"
  top: "res2a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2a"
  type: "Eltwise"
  bottom: "res2a_branch1"
  bottom: "res2a_branch2c"
  top: "res2a"
  eltwise_param {
  }
}
layer {
  name: "res2a_relu"
  type: "ReLU"
  bottom: "res2a"
  top: "res2a"
  relu_param {
  }
}
layer {
  name: "res2b_branch2a"
  type: "Convolution"
  bottom: "res2a"
  top: "res2b_branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2b_branch2a"
  type: "BatchNorm"
  bottom: "res2b_branch2a"
  top: "res2b_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale2b_branch2a"
  type: "Scale"
  bottom: "res2b_branch2a"
  top: "res2b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2b_branch2a_relu"
  type: "ReLU"
  bottom: "res2b_branch2a"
  top: "res2b_branch2a"
  relu_param {
  }
}
layer {
  name: "res2b_branch2b"
  type: "Convolution"
  bottom: "res2b_branch2a"
  top: "res2b_branch2b"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2b_branch2b"
  type: "BatchNorm"
  bottom: "res2b_branch2b"
  top: "res2b_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale2b_branch2b"
  type: "Scale"
  bottom: "res2b_branch2b"
  top: "res2b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2b_branch2b_relu"
  type: "ReLU"
  bottom: "res2b_branch2b"
  top: "res2b_branch2b"
  relu_param {
  }
}
layer {
  name: "res2b_branch2c"
  type: "Convolution"
  bottom: "res2b_branch2b"
  top: "res2b_branch2c"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2b_branch2c"
  type: "BatchNorm"
  bottom: "res2b_branch2c"
  top: "res2b_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale2b_branch2c"
  type: "Scale"
  bottom: "res2b_branch2c"
  top: "res2b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2b"
  type: "Eltwise"
  bottom: "res2a"
  bottom: "res2b_branch2c"
  top: "res2b"
  eltwise_param {
  }
}
layer {
  name: "res2b_relu"
  type: "ReLU"
  bottom: "res2b"
  top: "res2b"
  relu_param {
  }
}
layer {
  name: "res2c_branch2a"
  type: "Convolution"
  bottom: "res2b"
  top: "res2c_branch2a"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2c_branch2a"
  type: "BatchNorm"
  bottom: "res2c_branch2a"
  top: "res2c_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale2c_branch2a"
  type: "Scale"
  bottom: "res2c_branch2a"
  top: "res2c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2c_branch2a_relu"
  type: "ReLU"
  bottom: "res2c_branch2a"
  top: "res2c_branch2a"
  relu_param {
  }
}
layer {
  name: "res2c_branch2b"
  type: "Convolution"
  bottom: "res2c_branch2a"
  top: "res2c_branch2b"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2c_branch2b"
  type: "BatchNorm"
  bottom: "res2c_branch2b"
  top: "res2c_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale2c_branch2b"
  type: "Scale"
  bottom: "res2c_branch2b"
  top: "res2c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2c_branch2b_relu"
  type: "ReLU"
  bottom: "res2c_branch2b"
  top: "res2c_branch2b"
  relu_param {
  }
}
layer {
  name: "res2c_branch2c"
  type: "Convolution"
  bottom: "res2c_branch2b"
  top: "res2c_branch2c"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn2c_branch2c"
  type: "BatchNorm"
  bottom: "res2c_branch2c"
  top: "res2c_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale2c_branch2c"
  type: "Scale"
  bottom: "res2c_branch2c"
  top: "res2c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res2c"
  type: "Eltwise"
  bottom: "res2b"
  bottom: "res2c_branch2c"
  top: "res2c"
  eltwise_param {
  }
}
layer {
  name: "res2c_relu"
  type: "ReLU"
  bottom: "res2c"
  top: "res2c"
  relu_param {
  }
}
layer {
  name: "res3a_branch1"
  type: "Convolution"
  bottom: "res2c"
  top: "res3a_branch1"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3a_branch1"
  type: "BatchNorm"
  bottom: "res3a_branch1"
  top: "res3a_branch1"
  batch_norm_param {
  }
}
layer {
  name: "scale3a_branch1"
  type: "Scale"
  bottom: "res3a_branch1"
  top: "res3a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3a_branch2a"
  type: "Convolution"
  bottom: "res2c"
  top: "res3a_branch2a"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3a_branch2a"
  type: "BatchNorm"
  bottom: "res3a_branch2a"
  top: "res3a_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale3a_branch2a"
  type: "Scale"
  bottom: "res3a_branch2a"
  top: "res3a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3a_branch2a_relu"
  type: "ReLU"
  bottom: "res3a_branch2a"
  top: "res3a_branch2a"
  relu_param {
  }
}
layer {
  name: "res3a_branch2b"
  type: "Convolution"
  bottom: "res3a_branch2a"
  top: "res3a_branch2b"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3a_branch2b"
  type: "BatchNorm"
  bottom: "res3a_branch2b"
  top: "res3a_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale3a_branch2b"
  type: "Scale"
  bottom: "res3a_branch2b"
  top: "res3a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3a_branch2b_relu"
  type: "ReLU"
  bottom: "res3a_branch2b"
  top: "res3a_branch2b"
  relu_param {
  }
}
layer {
  name: "res3a_branch2c"
  type: "Convolution"
  bottom: "res3a_branch2b"
  top: "res3a_branch2c"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3a_branch2c"
  type: "BatchNorm"
  bottom: "res3a_branch2c"
  top: "res3a_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale3a_branch2c"
  type: "Scale"
  bottom: "res3a_branch2c"
  top: "res3a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3a"
  type: "Eltwise"
  bottom: "res3a_branch1"
  bottom: "res3a_branch2c"
  top: "res3a"
  eltwise_param {
  }
}
layer {
  name: "res3a_relu"
  type: "ReLU"
  bottom: "res3a"
  top: "res3a"
  relu_param {
  }
}
layer {
  name: "res3b_branch2a"
  type: "Convolution"
  bottom: "res3a"
  top: "res3b_branch2a"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3b_branch2a"
  type: "BatchNorm"
  bottom: "res3b_branch2a"
  top: "res3b_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale3b_branch2a"
  type: "Scale"
  bottom: "res3b_branch2a"
  top: "res3b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3b_branch2a_relu"
  type: "ReLU"
  bottom: "res3b_branch2a"
  top: "res3b_branch2a"
  relu_param {
  }
}
layer {
  name: "res3b_branch2b"
  type: "Convolution"
  bottom: "res3b_branch2a"
  top: "res3b_branch2b"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3b_branch2b"
  type: "BatchNorm"
  bottom: "res3b_branch2b"
  top: "res3b_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale3b_branch2b"
  type: "Scale"
  bottom: "res3b_branch2b"
  top: "res3b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3b_branch2b_relu"
  type: "ReLU"
  bottom: "res3b_branch2b"
  top: "res3b_branch2b"
  relu_param {
  }
}
layer {
  name: "res3b_branch2c"
  type: "Convolution"
  bottom: "res3b_branch2b"
  top: "res3b_branch2c"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3b_branch2c"
  type: "BatchNorm"
  bottom: "res3b_branch2c"
  top: "res3b_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale3b_branch2c"
  type: "Scale"
  bottom: "res3b_branch2c"
  top: "res3b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3b"
  type: "Eltwise"
  bottom: "res3a"
  bottom: "res3b_branch2c"
  top: "res3b"
  eltwise_param {
  }
}
layer {
  name: "res3b_relu"
  type: "ReLU"
  bottom: "res3b"
  top: "res3b"
  relu_param {
  }
}
layer {
  name: "res3c_branch2a"
  type: "Convolution"
  bottom: "res3b"
  top: "res3c_branch2a"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3c_branch2a"
  type: "BatchNorm"
  bottom: "res3c_branch2a"
  top: "res3c_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale3c_branch2a"
  type: "Scale"
  bottom: "res3c_branch2a"
  top: "res3c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3c_branch2a_relu"
  type: "ReLU"
  bottom: "res3c_branch2a"
  top: "res3c_branch2a"
  relu_param {
  }
}
layer {
  name: "res3c_branch2b"
  type: "Convolution"
  bottom: "res3c_branch2a"
  top: "res3c_branch2b"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3c_branch2b"
  type: "BatchNorm"
  bottom: "res3c_branch2b"
  top: "res3c_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale3c_branch2b"
  type: "Scale"
  bottom: "res3c_branch2b"
  top: "res3c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3c_branch2b_relu"
  type: "ReLU"
  bottom: "res3c_branch2b"
  top: "res3c_branch2b"
  relu_param {
  }
}
layer {
  name: "res3c_branch2c"
  type: "Convolution"
  bottom: "res3c_branch2b"
  top: "res3c_branch2c"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3c_branch2c"
  type: "BatchNorm"
  bottom: "res3c_branch2c"
  top: "res3c_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale3c_branch2c"
  type: "Scale"
  bottom: "res3c_branch2c"
  top: "res3c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3c"
  type: "Eltwise"
  bottom: "res3b"
  bottom: "res3c_branch2c"
  top: "res3c"
  eltwise_param {
  }
}
layer {
  name: "res3c_relu"
  type: "ReLU"
  bottom: "res3c"
  top: "res3c"
  relu_param {
  }
}
layer {
  name: "res3d_branch2a"
  type: "Convolution"
  bottom: "res3c"
  top: "res3d_branch2a"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3d_branch2a"
  type: "BatchNorm"
  bottom: "res3d_branch2a"
  top: "res3d_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale3d_branch2a"
  type: "Scale"
  bottom: "res3d_branch2a"
  top: "res3d_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3d_branch2a_relu"
  type: "ReLU"
  bottom: "res3d_branch2a"
  top: "res3d_branch2a"
  relu_param {
  }
}
layer {
  name: "res3d_branch2b"
  type: "Convolution"
  bottom: "res3d_branch2a"
  top: "res3d_branch2b"
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3d_branch2b"
  type: "BatchNorm"
  bottom: "res3d_branch2b"
  top: "res3d_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale3d_branch2b"
  type: "Scale"
  bottom: "res3d_branch2b"
  top: "res3d_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3d_branch2b_relu"
  type: "ReLU"
  bottom: "res3d_branch2b"
  top: "res3d_branch2b"
  relu_param {
  }
}
layer {
  name: "res3d_branch2c"
  type: "Convolution"
  bottom: "res3d_branch2b"
  top: "res3d_branch2c"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn3d_branch2c"
  type: "BatchNorm"
  bottom: "res3d_branch2c"
  top: "res3d_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale3d_branch2c"
  type: "Scale"
  bottom: "res3d_branch2c"
  top: "res3d_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res3d"
  type: "Eltwise"
  bottom: "res3c"
  bottom: "res3d_branch2c"
  top: "res3d"
  eltwise_param {
  }
}
layer {
  name: "res3d_relu"
  type: "ReLU"
  bottom: "res3d"
  top: "res3d"
  relu_param {
  }
}
layer {
  name: "res4a_branch1"
  type: "Convolution"
  bottom: "res3d"
  top: "res4a_branch1"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4a_branch1"
  type: "BatchNorm"
  bottom: "res4a_branch1"
  top: "res4a_branch1"
  batch_norm_param {
  }
}
layer {
  name: "scale4a_branch1"
  type: "Scale"
  bottom: "res4a_branch1"
  top: "res4a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4a_branch2a"
  type: "Convolution"
  bottom: "res3d"
  top: "res4a_branch2a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4a_branch2a"
  type: "BatchNorm"
  bottom: "res4a_branch2a"
  top: "res4a_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale4a_branch2a"
  type: "Scale"
  bottom: "res4a_branch2a"
  top: "res4a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4a_branch2a_relu"
  type: "ReLU"
  bottom: "res4a_branch2a"
  top: "res4a_branch2a"
  relu_param {
  }
}
layer {
  name: "res4a_branch2b"
  type: "Convolution"
  bottom: "res4a_branch2a"
  top: "res4a_branch2b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4a_branch2b"
  type: "BatchNorm"
  bottom: "res4a_branch2b"
  top: "res4a_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale4a_branch2b"
  type: "Scale"
  bottom: "res4a_branch2b"
  top: "res4a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4a_branch2b_relu"
  type: "ReLU"
  bottom: "res4a_branch2b"
  top: "res4a_branch2b"
  relu_param {
  }
}
layer {
  name: "res4a_branch2c"
  type: "Convolution"
  bottom: "res4a_branch2b"
  top: "res4a_branch2c"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4a_branch2c"
  type: "BatchNorm"
  bottom: "res4a_branch2c"
  top: "res4a_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale4a_branch2c"
  type: "Scale"
  bottom: "res4a_branch2c"
  top: "res4a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4a"
  type: "Eltwise"
  bottom: "res4a_branch1"
  bottom: "res4a_branch2c"
  top: "res4a"
  eltwise_param {
  }
}
layer {
  name: "res4a_relu"
  type: "ReLU"
  bottom: "res4a"
  top: "res4a"
  relu_param {
  }
}
layer {
  name: "res4b_branch2a"
  type: "Convolution"
  bottom: "res4a"
  top: "res4b_branch2a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4b_branch2a"
  type: "BatchNorm"
  bottom: "res4b_branch2a"
  top: "res4b_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale4b_branch2a"
  type: "Scale"
  bottom: "res4b_branch2a"
  top: "res4b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4b_branch2a_relu"
  type: "ReLU"
  bottom: "res4b_branch2a"
  top: "res4b_branch2a"
  relu_param {
  }
}
layer {
  name: "res4b_branch2b"
  type: "Convolution"
  bottom: "res4b_branch2a"
  top: "res4b_branch2b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4b_branch2b"
  type: "BatchNorm"
  bottom: "res4b_branch2b"
  top: "res4b_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale4b_branch2b"
  type: "Scale"
  bottom: "res4b_branch2b"
  top: "res4b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4b_branch2b_relu"
  type: "ReLU"
  bottom: "res4b_branch2b"
  top: "res4b_branch2b"
  relu_param {
  }
}
layer {
  name: "res4b_branch2c"
  type: "Convolution"
  bottom: "res4b_branch2b"
  top: "res4b_branch2c"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4b_branch2c"
  type: "BatchNorm"
  bottom: "res4b_branch2c"
  top: "res4b_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale4b_branch2c"
  type: "Scale"
  bottom: "res4b_branch2c"
  top: "res4b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4b"
  type: "Eltwise"
  bottom: "res4a"
  bottom: "res4b_branch2c"
  top: "res4b"
  eltwise_param {
  }
}
layer {
  name: "res4b_relu"
  type: "ReLU"
  bottom: "res4b"
  top: "res4b"
  relu_param {
  }
}
layer {
  name: "res4c_branch2a"
  type: "Convolution"
  bottom: "res4b"
  top: "res4c_branch2a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4c_branch2a"
  type: "BatchNorm"
  bottom: "res4c_branch2a"
  top: "res4c_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale4c_branch2a"
  type: "Scale"
  bottom: "res4c_branch2a"
  top: "res4c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4c_branch2a_relu"
  type: "ReLU"
  bottom: "res4c_branch2a"
  top: "res4c_branch2a"
  relu_param {
  }
}
layer {
  name: "res4c_branch2b"
  type: "Convolution"
  bottom: "res4c_branch2a"
  top: "res4c_branch2b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4c_branch2b"
  type: "BatchNorm"
  bottom: "res4c_branch2b"
  top: "res4c_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale4c_branch2b"
  type: "Scale"
  bottom: "res4c_branch2b"
  top: "res4c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4c_branch2b_relu"
  type: "ReLU"
  bottom: "res4c_branch2b"
  top: "res4c_branch2b"
  relu_param {
  }
}
layer {
  name: "res4c_branch2c"
  type: "Convolution"
  bottom: "res4c_branch2b"
  top: "res4c_branch2c"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4c_branch2c"
  type: "BatchNorm"
  bottom: "res4c_branch2c"
  top: "res4c_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale4c_branch2c"
  type: "Scale"
  bottom: "res4c_branch2c"
  top: "res4c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4c"
  type: "Eltwise"
  bottom: "res4b"
  bottom: "res4c_branch2c"
  top: "res4c"
  eltwise_param {
  }
}
layer {
  name: "res4c_relu"
  type: "ReLU"
  bottom: "res4c"
  top: "res4c"
  relu_param {
  }
}
layer {
  name: "res4d_branch2a"
  type: "Convolution"
  bottom: "res4c"
  top: "res4d_branch2a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4d_branch2a"
  type: "BatchNorm"
  bottom: "res4d_branch2a"
  top: "res4d_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale4d_branch2a"
  type: "Scale"
  bottom: "res4d_branch2a"
  top: "res4d_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4d_branch2a_relu"
  type: "ReLU"
  bottom: "res4d_branch2a"
  top: "res4d_branch2a"
  relu_param {
  }
}
layer {
  name: "res4d_branch2b"
  type: "Convolution"
  bottom: "res4d_branch2a"
  top: "res4d_branch2b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4d_branch2b"
  type: "BatchNorm"
  bottom: "res4d_branch2b"
  top: "res4d_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale4d_branch2b"
  type: "Scale"
  bottom: "res4d_branch2b"
  top: "res4d_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4d_branch2b_relu"
  type: "ReLU"
  bottom: "res4d_branch2b"
  top: "res4d_branch2b"
  relu_param {
  }
}
layer {
  name: "res4d_branch2c"
  type: "Convolution"
  bottom: "res4d_branch2b"
  top: "res4d_branch2c"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4d_branch2c"
  type: "BatchNorm"
  bottom: "res4d_branch2c"
  top: "res4d_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale4d_branch2c"
  type: "Scale"
  bottom: "res4d_branch2c"
  top: "res4d_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4d"
  type: "Eltwise"
  bottom: "res4c"
  bottom: "res4d_branch2c"
  top: "res4d"
  eltwise_param {
  }
}
layer {
  name: "res4d_relu"
  type: "ReLU"
  bottom: "res4d"
  top: "res4d"
  relu_param {
  }
}
layer {
  name: "res4e_branch2a"
  type: "Convolution"
  bottom: "res4d"
  top: "res4e_branch2a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4e_branch2a"
  type: "BatchNorm"
  bottom: "res4e_branch2a"
  top: "res4e_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale4e_branch2a"
  type: "Scale"
  bottom: "res4e_branch2a"
  top: "res4e_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4e_branch2a_relu"
  type: "ReLU"
  bottom: "res4e_branch2a"
  top: "res4e_branch2a"
  relu_param {
  }
}
layer {
  name: "res4e_branch2b"
  type: "Convolution"
  bottom: "res4e_branch2a"
  top: "res4e_branch2b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4e_branch2b"
  type: "BatchNorm"
  bottom: "res4e_branch2b"
  top: "res4e_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale4e_branch2b"
  type: "Scale"
  bottom: "res4e_branch2b"
  top: "res4e_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4e_branch2b_relu"
  type: "ReLU"
  bottom: "res4e_branch2b"
  top: "res4e_branch2b"
  relu_param {
  }
}
layer {
  name: "res4e_branch2c"
  type: "Convolution"
  bottom: "res4e_branch2b"
  top: "res4e_branch2c"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4e_branch2c"
  type: "BatchNorm"
  bottom: "res4e_branch2c"
  top: "res4e_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale4e_branch2c"
  type: "Scale"
  bottom: "res4e_branch2c"
  top: "res4e_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4e"
  type: "Eltwise"
  bottom: "res4d"
  bottom: "res4e_branch2c"
  top: "res4e"
  eltwise_param {
  }
}
layer {
  name: "res4e_relu"
  type: "ReLU"
  bottom: "res4e"
  top: "res4e"
  relu_param {
  }
}
layer {
  name: "res4f_branch2a"
  type: "Convolution"
  bottom: "res4e"
  top: "res4f_branch2a"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4f_branch2a"
  type: "BatchNorm"
  bottom: "res4f_branch2a"
  top: "res4f_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale4f_branch2a"
  type: "Scale"
  bottom: "res4f_branch2a"
  top: "res4f_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4f_branch2a_relu"
  type: "ReLU"
  bottom: "res4f_branch2a"
  top: "res4f_branch2a"
  relu_param {
  }
}
layer {
  name: "res4f_branch2b"
  type: "Convolution"
  bottom: "res4f_branch2a"
  top: "res4f_branch2b"
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4f_branch2b"
  type: "BatchNorm"
  bottom: "res4f_branch2b"
  top: "res4f_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale4f_branch2b"
  type: "Scale"
  bottom: "res4f_branch2b"
  top: "res4f_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4f_branch2b_relu"
  type: "ReLU"
  bottom: "res4f_branch2b"
  top: "res4f_branch2b"
  relu_param {
  }
}
layer {
  name: "res4f_branch2c"
  type: "Convolution"
  bottom: "res4f_branch2b"
  top: "res4f_branch2c"
  convolution_param {
    num_output: 1024
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn4f_branch2c"
  type: "BatchNorm"
  bottom: "res4f_branch2c"
  top: "res4f_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale4f_branch2c"
  type: "Scale"
  bottom: "res4f_branch2c"
  top: "res4f_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res4f"
  type: "Eltwise"
  bottom: "res4e"
  bottom: "res4f_branch2c"
  top: "res4f"
  eltwise_param {
  }
}
layer {
  name: "res4f_relu"
  type: "ReLU"
  bottom: "res4f"
  top: "res4f"
  relu_param {
  }
}
layer {
  name: "res5a_branch1"
  type: "Convolution"
  bottom: "res4f"
  top: "res5a_branch1"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5a_branch1"
  type: "BatchNorm"
  bottom: "res5a_branch1"
  top: "res5a_branch1"
  batch_norm_param {
  }
}
layer {
  name: "scale5a_branch1"
  type: "Scale"
  bottom: "res5a_branch1"
  top: "res5a_branch1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5a_branch2a"
  type: "Convolution"
  bottom: "res4f"
  top: "res5a_branch2a"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5a_branch2a"
  type: "BatchNorm"
  bottom: "res5a_branch2a"
  top: "res5a_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale5a_branch2a"
  type: "Scale"
  bottom: "res5a_branch2a"
  top: "res5a_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5a_branch2a_relu"
  type: "ReLU"
  bottom: "res5a_branch2a"
  top: "res5a_branch2a"
  relu_param {
  }
}
layer {
  name: "res5a_branch2b"
  type: "Convolution"
  bottom: "res5a_branch2a"
  top: "res5a_branch2b"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5a_branch2b"
  type: "BatchNorm"
  bottom: "res5a_branch2b"
  top: "res5a_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale5a_branch2b"
  type: "Scale"
  bottom: "res5a_branch2b"
  top: "res5a_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5a_branch2b_relu"
  type: "ReLU"
  bottom: "res5a_branch2b"
  top: "res5a_branch2b"
  relu_param {
  }
}
layer {
  name: "res5a_branch2c"
  type: "Convolution"
  bottom: "res5a_branch2b"
  top: "res5a_branch2c"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5a_branch2c"
  type: "BatchNorm"
  bottom: "res5a_branch2c"
  top: "res5a_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale5a_branch2c"
  type: "Scale"
  bottom: "res5a_branch2c"
  top: "res5a_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5a"
  type: "Eltwise"
  bottom: "res5a_branch1"
  bottom: "res5a_branch2c"
  top: "res5a"
  eltwise_param {
  }
}
layer {
  name: "res5a_relu"
  type: "ReLU"
  bottom: "res5a"
  top: "res5a"
  relu_param {
  }
}
layer {
  name: "res5b_branch2a"
  type: "Convolution"
  bottom: "res5a"
  top: "res5b_branch2a"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5b_branch2a"
  type: "BatchNorm"
  bottom: "res5b_branch2a"
  top: "res5b_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale5b_branch2a"
  type: "Scale"
  bottom: "res5b_branch2a"
  top: "res5b_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5b_branch2a_relu"
  type: "ReLU"
  bottom: "res5b_branch2a"
  top: "res5b_branch2a"
  relu_param {
  }
}
layer {
  name: "res5b_branch2b"
  type: "Convolution"
  bottom: "res5b_branch2a"
  top: "res5b_branch2b"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5b_branch2b"
  type: "BatchNorm"
  bottom: "res5b_branch2b"
  top: "res5b_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale5b_branch2b"
  type: "Scale"
  bottom: "res5b_branch2b"
  top: "res5b_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5b_branch2b_relu"
  type: "ReLU"
  bottom: "res5b_branch2b"
  top: "res5b_branch2b"
  relu_param {
  }
}
layer {
  name: "res5b_branch2c"
  type: "Convolution"
  bottom: "res5b_branch2b"
  top: "res5b_branch2c"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5b_branch2c"
  type: "BatchNorm"
  bottom: "res5b_branch2c"
  top: "res5b_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale5b_branch2c"
  type: "Scale"
  bottom: "res5b_branch2c"
  top: "res5b_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5b"
  type: "Eltwise"
  bottom: "res5a"
  bottom: "res5b_branch2c"
  top: "res5b"
  eltwise_param {
  }
}
layer {
  name: "res5b_relu"
  type: "ReLU"
  bottom: "res5b"
  top: "res5b"
  relu_param {
  }
}
layer {
  name: "res5c_branch2a"
  type: "Convolution"
  bottom: "res5b"
  top: "res5c_branch2a"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5c_branch2a"
  type: "BatchNorm"
  bottom: "res5c_branch2a"
  top: "res5c_branch2a"
  batch_norm_param {
  }
}
layer {
  name: "scale5c_branch2a"
  type: "Scale"
  bottom: "res5c_branch2a"
  top: "res5c_branch2a"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5c_branch2a_relu"
  type: "ReLU"
  bottom: "res5c_branch2a"
  top: "res5c_branch2a"
  relu_param {
  }
}
layer {
  name: "res5c_branch2b"
  type: "Convolution"
  bottom: "res5c_branch2a"
  top: "res5c_branch2b"
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5c_branch2b"
  type: "BatchNorm"
  bottom: "res5c_branch2b"
  top: "res5c_branch2b"
  batch_norm_param {
  }
}
layer {
  name: "scale5c_branch2b"
  type: "Scale"
  bottom: "res5c_branch2b"
  top: "res5c_branch2b"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5c_branch2b_relu"
  type: "ReLU"
  bottom: "res5c_branch2b"
  top: "res5c_branch2b"
  relu_param {
  }
}
layer {
  name: "res5c_branch2c"
  type: "Convolution"
  bottom: "res5c_branch2b"
  top: "res5c_branch2c"
  convolution_param {
    num_output: 2048
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0.20000000298023224
    }
  }
}
layer {
  name: "bn5c_branch2c"
  type: "BatchNorm"
  bottom: "res5c_branch2c"
  top: "res5c_branch2c"
  batch_norm_param {
  }
}
layer {
  name: "scale5c_branch2c"
  type: "Scale"
  bottom: "res5c_branch2c"
  top: "res5c_branch2c"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "res5c"
  type: "Eltwise"
  bottom: "res5b"
  bottom: "res5c_branch2c"
  top: "res5c"
  eltwise_param {
  }
}
layer {
  name: "res5c_relu"
  type: "ReLU"
  bottom: "res5c"
  top: "res5c"
  relu_param {
  }
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "res5c"
  top: "pool5"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "fc1000"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc1000"
  inner_product_param {
    num_output: 1000
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc1000"
  top: "prob"
}