waifu2x-caffe/bin/models/upresnet10/noise2_scale2.0x_model.prototxt

name: "UpResNet10_3"
layer {
  name: "data"
  type: "Input"
  top: "input"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 90
      dim: 90
    }
  }
}
layer {
  name: "/conv_pre"
  type: "Convolution"
  bottom: "input"
  top: "/conv_pre"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/conv_pre_relu"
  type: "ReLU"
  bottom: "/conv_pre"
  top: "/conv_pre_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res1/conv1"
  type: "Convolution"
  bottom: "/conv_pre_relu"
  top: "/res1/conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res1/conv1_relu"
  type: "ReLU"
  bottom: "/res1/conv1"
  top: "/res1/conv1_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res1/conv2"
  type: "Convolution"
  bottom: "/res1/conv1_relu"
  top: "/res1/conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res1/conv2_relu"
  type: "ReLU"
  bottom: "/res1/conv2"
  top: "/res1/conv2_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res1/fc1_globalavgpool"
  type: "Pooling"
  bottom: "/res1/conv2_relu"
  top: "/res1/fc1_globalavgpool"
  pooling_param {
    pool: AVE
    stride: 1
    pad: 0
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "/res1/fc1"
  type: "InnerProduct"
  bottom: "/res1/fc1_globalavgpool"
  top: "/res1/fc1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 16
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res1/fc1_relu"
  type: "ReLU"
  bottom: "/res1/fc1"
  top: "/res1/fc1_relu"
}
layer {
  name: "/res1/fc2"
  type: "InnerProduct"
  bottom: "/res1/fc1_relu"
  top: "/res1/fc2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 64
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res1/fc2_sigmoid"
  type: "Sigmoid"
  bottom: "/res1/fc2"
  top: "/res1/fc2_sigmoid"
}
layer {
  name: "/res1/crop"
  type: "CropCenter"
  bottom: "/conv_pre_relu"
  top: "/res1/crop"
  crop_center_param {
    crop_size: 0
    crop_size: 0
    crop_size: 2
    crop_size: 2
  }
}
layer {
  name: "/res1/axpy"
  type: "Axpy"
  bottom: "/res1/fc2_sigmoid"
  bottom: "/res1/conv2_relu"
  bottom: "/res1/crop"
  top: "/res1/axpy"
}
layer {
  name: "/res2/conv1"
  type: "Convolution"
  bottom: "/res1/axpy"
  top: "/res2/conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res2/conv1_relu"
  type: "ReLU"
  bottom: "/res2/conv1"
  top: "/res2/conv1_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res2/conv2"
  type: "Convolution"
  bottom: "/res2/conv1_relu"
  top: "/res2/conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res2/conv2_relu"
  type: "ReLU"
  bottom: "/res2/conv2"
  top: "/res2/conv2_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res2/fc1_globalavgpool"
  type: "Pooling"
  bottom: "/res2/conv2_relu"
  top: "/res2/fc1_globalavgpool"
  pooling_param {
    pool: AVE
    stride: 1
    pad: 0
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "/res2/fc1"
  type: "InnerProduct"
  bottom: "/res2/fc1_globalavgpool"
  top: "/res2/fc1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 16
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res2/fc1_relu"
  type: "ReLU"
  bottom: "/res2/fc1"
  top: "/res2/fc1_relu"
}
layer {
  name: "/res2/fc2"
  type: "InnerProduct"
  bottom: "/res2/fc1_relu"
  top: "/res2/fc2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 64
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res2/fc2_sigmoid"
  type: "Sigmoid"
  bottom: "/res2/fc2"
  top: "/res2/fc2_sigmoid"
}
layer {
  name: "/res2/crop"
  type: "CropCenter"
  bottom: "/res1/axpy"
  top: "/res2/crop"
  crop_center_param {
    crop_size: 0
    crop_size: 0
    crop_size: 2
    crop_size: 2
  }
}
layer {
  name: "/res2/axpy"
  type: "Axpy"
  bottom: "/res2/fc2_sigmoid"
  bottom: "/res2/conv2_relu"
  bottom: "/res2/crop"
  top: "/res2/axpy"
}
layer {
  name: "/res3/conv1"
  type: "Convolution"
  bottom: "/res2/axpy"
  top: "/res3/conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res3/conv1_relu"
  type: "ReLU"
  bottom: "/res3/conv1"
  top: "/res3/conv1_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res3/conv2"
  type: "Convolution"
  bottom: "/res3/conv1_relu"
  top: "/res3/conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res3/conv2_relu"
  type: "ReLU"
  bottom: "/res3/conv2"
  top: "/res3/conv2_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res3/fc1_globalavgpool"
  type: "Pooling"
  bottom: "/res3/conv2_relu"
  top: "/res3/fc1_globalavgpool"
  pooling_param {
    pool: AVE
    stride: 1
    pad: 0
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "/res3/fc1"
  type: "InnerProduct"
  bottom: "/res3/fc1_globalavgpool"
  top: "/res3/fc1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 16
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res3/fc1_relu"
  type: "ReLU"
  bottom: "/res3/fc1"
  top: "/res3/fc1_relu"
}
layer {
  name: "/res3/fc2"
  type: "InnerProduct"
  bottom: "/res3/fc1_relu"
  top: "/res3/fc2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 64
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res3/fc2_sigmoid"
  type: "Sigmoid"
  bottom: "/res3/fc2"
  top: "/res3/fc2_sigmoid"
}
layer {
  name: "/res3/crop"
  type: "CropCenter"
  bottom: "/res2/axpy"
  top: "/res3/crop"
  crop_center_param {
    crop_size: 0
    crop_size: 0
    crop_size: 2
    crop_size: 2
  }
}
layer {
  name: "/res3/axpy"
  type: "Axpy"
  bottom: "/res3/fc2_sigmoid"
  bottom: "/res3/conv2_relu"
  bottom: "/res3/crop"
  top: "/res3/axpy"
}
layer {
  name: "/res4/conv1"
  type: "Convolution"
  bottom: "/res3/axpy"
  top: "/res4/conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res4/conv1_relu"
  type: "ReLU"
  bottom: "/res4/conv1"
  top: "/res4/conv1_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res4/conv2"
  type: "Convolution"
  bottom: "/res4/conv1_relu"
  top: "/res4/conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res4/conv2_relu"
  type: "ReLU"
  bottom: "/res4/conv2"
  top: "/res4/conv2_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res4/fc1_globalavgpool"
  type: "Pooling"
  bottom: "/res4/conv2_relu"
  top: "/res4/fc1_globalavgpool"
  pooling_param {
    pool: AVE
    stride: 1
    pad: 0
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "/res4/fc1"
  type: "InnerProduct"
  bottom: "/res4/fc1_globalavgpool"
  top: "/res4/fc1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 16
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res4/fc1_relu"
  type: "ReLU"
  bottom: "/res4/fc1"
  top: "/res4/fc1_relu"
}
layer {
  name: "/res4/fc2"
  type: "InnerProduct"
  bottom: "/res4/fc1_relu"
  top: "/res4/fc2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 64
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res4/fc2_sigmoid"
  type: "Sigmoid"
  bottom: "/res4/fc2"
  top: "/res4/fc2_sigmoid"
}
layer {
  name: "/res4/crop"
  type: "CropCenter"
  bottom: "/res3/axpy"
  top: "/res4/crop"
  crop_center_param {
    crop_size: 0
    crop_size: 0
    crop_size: 2
    crop_size: 2
  }
}
layer {
  name: "/res4/axpy"
  type: "Axpy"
  bottom: "/res4/fc2_sigmoid"
  bottom: "/res4/conv2_relu"
  bottom: "/res4/crop"
  top: "/res4/axpy"
}
layer {
  name: "/res5/conv1"
  type: "Convolution"
  bottom: "/res4/axpy"
  top: "/res5/conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res5/conv1_relu"
  type: "ReLU"
  bottom: "/res5/conv1"
  top: "/res5/conv1_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res5/conv2"
  type: "Convolution"
  bottom: "/res5/conv1_relu"
  top: "/res5/conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/res5/conv2_relu"
  type: "ReLU"
  bottom: "/res5/conv2"
  top: "/res5/conv2_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/res5/fc1_globalavgpool"
  type: "Pooling"
  bottom: "/res5/conv2_relu"
  top: "/res5/fc1_globalavgpool"
  pooling_param {
    pool: AVE
    stride: 1
    pad: 0
    engine: CAFFE
    global_pooling: true
  }
}
layer {
  name: "/res5/fc1"
  type: "InnerProduct"
  bottom: "/res5/fc1_globalavgpool"
  top: "/res5/fc1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 16
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res5/fc1_relu"
  type: "ReLU"
  bottom: "/res5/fc1"
  top: "/res5/fc1_relu"
}
layer {
  name: "/res5/fc2"
  type: "InnerProduct"
  bottom: "/res5/fc1_relu"
  top: "/res5/fc2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 64
    weight_filler {
      type: "msra"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "/res5/fc2_sigmoid"
  type: "Sigmoid"
  bottom: "/res5/fc2"
  top: "/res5/fc2_sigmoid"
}
layer {
  name: "/res5/crop"
  type: "CropCenter"
  bottom: "/res4/axpy"
  top: "/res5/crop"
  crop_center_param {
    crop_size: 0
    crop_size: 0
    crop_size: 2
    crop_size: 2
  }
}
layer {
  name: "/res5/axpy"
  type: "Axpy"
  bottom: "/res5/fc2_sigmoid"
  bottom: "/res5/conv2_relu"
  bottom: "/res5/crop"
  top: "/res5/axpy"
}
layer {
  name: "/conv_bridge"
  type: "Convolution"
  bottom: "/res5/axpy"
  top: "/conv_bridge"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "/conv_bridge_relu"
  type: "ReLU"
  bottom: "/conv_bridge"
  top: "/conv_bridge_relu"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "/crop"
  type: "CropCenter"
  bottom: "/conv_pre_relu"
  top: "/crop"
  crop_center_param {
    crop_size: 0
    crop_size: 0
    crop_size: 11
    crop_size: 11
  }
}
layer {
  name: "/add"
  type: "Eltwise"
  bottom: "/conv_bridge_relu"
  bottom: "/crop"
  top: "/add"
}
layer {
  name: "/conv_post"
  type: "Deconvolution"
  bottom: "/add"
  top: "/conv_post"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 3
    bias_term: false
    pad: 3
    kernel_size: 4
    stride: 2
    weight_filler {
      type: "msra"
    }
  }
}