name: "Pytorch2Caffe"
input: "data"
input_shape {
  dim: 16
  dim: 3
  dim: 576
  dim: 1024
}
layer {
  name: "conv_layer1-conv"
  type: "Convolution"
  bottom: "data"
  top: "conv_layer1-conv"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer1-conv"
  type: "ReLU"
  bottom: "conv_layer1-conv"
  top: "conv_layer1-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer2-conv"
  type: "Convolution"
  bottom: "conv_layer1-conv"
  top: "conv_layer2-conv"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer2-conv"
  type: "ReLU"
  bottom: "conv_layer2-conv"
  top: "conv_layer2-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer3-conv"
  type: "Convolution"
  bottom: "conv_layer2-conv"
  top: "conv_layer3-conv"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer3-conv"
  type: "ReLU"
  bottom: "conv_layer3-conv"
  top: "conv_layer3-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer4-conv"
  type: "Convolution"
  bottom: "conv_layer3-conv"
  top: "conv_layer4-conv"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer4-conv"
  type: "ReLU"
  bottom: "conv_layer4-conv"
  top: "conv_layer4-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer5-conv"
  type: "Convolution"
  bottom: "conv_layer4-conv"
  top: "conv_layer5-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer5-conv"
  type: "ReLU"
  bottom: "conv_layer5-conv"
  top: "conv_layer5-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer6-conv"
  type: "Convolution"
  bottom: "conv_layer5-conv"
  top: "conv_layer6-conv"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer6-conv"
  type: "ReLU"
  bottom: "conv_layer6-conv"
  top: "conv_layer6-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer7-conv"
  type: "Convolution"
  bottom: "conv_layer6-conv"
  top: "conv_layer7-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer7-conv"
  type: "ReLU"
  bottom: "conv_layer7-conv"
  top: "conv_layer7-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer7-1-conv"
  type: "Convolution"
  bottom: "conv_layer7-conv"
  top: "conv_layer7-1-conv"
  convolution_param {
    num_output: 96
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer7-1-conv"
  type: "ReLU"
  bottom: "conv_layer7-1-conv"
  top: "conv_layer7-1-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer8-conv"
  type: "Convolution"
  bottom: "conv_layer7-1-conv"
  top: "conv_layer8-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer8-conv"
  type: "ReLU"
  bottom: "conv_layer8-conv"
  top: "conv_layer8-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer9-conv"
  type: "Convolution"
  bottom: "conv_layer8-conv"
  top: "conv_layer9-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer9-conv"
  type: "ReLU"
  bottom: "conv_layer9-conv"
  top: "conv_layer9-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer10-conv"
  type: "Convolution"
  bottom: "conv_layer9-conv"
  top: "conv_layer10-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer10-conv"
  type: "ReLU"
  bottom: "conv_layer10-conv"
  top: "conv_layer10-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer11-conv"
  type: "Convolution"
  bottom: "conv_layer10-conv"
  top: "conv_layer11-conv"
  convolution_param {
    num_output: 240
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer11-conv"
  type: "ReLU"
  bottom: "conv_layer11-conv"
  top: "conv_layer11-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer12-conv"
  type: "Convolution"
  bottom: "conv_layer11-conv"
  top: "conv_layer12-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer12-conv"
  type: "ReLU"
  bottom: "conv_layer12-conv"
  top: "conv_layer12-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer13-conv"
  type: "Convolution"
  bottom: "conv_layer12-conv"
  top: "conv_layer13-conv"
  convolution_param {
    num_output: 240
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer13-conv"
  type: "ReLU"
  bottom: "conv_layer13-conv"
  top: "conv_layer13-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer14-conv"
  type: "Convolution"
  bottom: "conv_layer13-conv"
  top: "conv_layer14-conv"
  convolution_param {
    num_output: 320
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer14-conv"
  type: "ReLU"
  bottom: "conv_layer14-conv"
  top: "conv_layer14-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer15-conv"
  type: "Convolution"
  bottom: "conv_layer14-conv"
  top: "conv_layer15-conv"
  convolution_param {
    num_output: 240
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer15-conv"
  type: "ReLU"
  bottom: "conv_layer15-conv"
  top: "conv_layer15-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer16-conv"
  type: "Convolution"
  bottom: "conv_layer15-conv"
  top: "conv_layer16-conv"
  convolution_param {
    num_output: 320
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer16-conv"
  type: "ReLU"
  bottom: "conv_layer16-conv"
  top: "conv_layer16-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer17-conv"
  type: "Convolution"
  bottom: "conv_layer16-conv"
  top: "conv_layer17-conv"
  convolution_param {
    num_output: 240
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer17-conv"
  type: "ReLU"
  bottom: "conv_layer17-conv"
  top: "conv_layer17-conv"
  relu_param {
  }
}
layer {
  name: "layer21-upsample"
  type: "Upsample"
  bottom: "conv_layer17-conv"
  top: "layer21-upsample"
  upsample_param {
    scale: 2
  }
}
layer {
  name: "concat_%722"
  type: "Concat"
  bottom: "layer21-upsample"
  bottom: "conv_layer13-conv"
  top: "concat_%722"
}
layer {
  name: "conv_layer24-conv"
  type: "Convolution"
  bottom: "concat_%722"
  top: "conv_layer24-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer24-conv"
  type: "ReLU"
  bottom: "conv_layer24-conv"
  top: "conv_layer24-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer25-conv"
  type: "Convolution"
  bottom: "conv_layer24-conv"
  top: "conv_layer25-conv"
  convolution_param {
    num_output: 224
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer25-conv"
  type: "ReLU"
  bottom: "conv_layer25-conv"
  top: "conv_layer25-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer26-conv"
  type: "Convolution"
  bottom: "conv_layer25-conv"
  top: "conv_layer26-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer26-conv"
  type: "ReLU"
  bottom: "conv_layer26-conv"
  top: "conv_layer26-conv"
  relu_param {
  }
}
layer {
  name: "layer28-upsample"
  type: "Upsample"
  bottom: "conv_layer26-conv"
  top: "layer28-upsample"
  upsample_param {
    scale: 2
  }
}
layer {
  name: "concat_%820"
  type: "Concat"
  bottom: "layer28-upsample"
  bottom: "conv_layer10-conv"
  top: "concat_%820"
}
layer {
  name: "conv_layer33-conv"
  type: "Convolution"
  bottom: "concat_%820"
  top: "conv_layer33-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer33-conv"
  type: "ReLU"
  bottom: "conv_layer33-conv"
  top: "conv_layer33-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer34-conv"
  type: "Convolution"
  bottom: "conv_layer33-conv"
  top: "conv_layer34-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer34-conv"
  type: "ReLU"
  bottom: "conv_layer34-conv"
  top: "conv_layer34-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer35-conv"
  type: "Convolution"
  bottom: "conv_layer34-conv"
  top: "conv_layer35-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer35-conv"
  type: "ReLU"
  bottom: "conv_layer35-conv"
  top: "conv_layer35-conv"
  relu_param {
  }
}
layer {
  name: "layer40-upsample"
  type: "Upsample"
  bottom: "conv_layer35-conv"
  top: "layer40-upsample"
  upsample_param {
    scale: 2
  }
}
layer {
  name: "concat_%918"
  type: "Concat"
  bottom: "layer40-upsample"
  bottom: "conv_layer7-1-conv"
  top: "concat_%918"
}
layer {
  name: "conv_layer42-conv"
  type: "Convolution"
  bottom: "concat_%918"
  top: "conv_layer42-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer42-conv"
  type: "ReLU"
  bottom: "conv_layer42-conv"
  top: "conv_layer42-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer43-conv"
  type: "Convolution"
  bottom: "conv_layer42-conv"
  top: "conv_layer43-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer43-conv"
  type: "ReLU"
  bottom: "conv_layer43-conv"
  top: "conv_layer43-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer44-conv"
  type: "Convolution"
  bottom: "conv_layer43-conv"
  top: "conv_layer44-conv"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer44-conv"
  type: "ReLU"
  bottom: "conv_layer44-conv"
  top: "conv_layer44-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer45-conv"
  type: "Convolution"
  bottom: "conv_layer44-conv"
  top: "conv_layer45-conv"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer45-conv"
  type: "ReLU"
  bottom: "conv_layer45-conv"
  top: "conv_layer45-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer46-conv"
  type: "Convolution"
  bottom: "conv_layer45-conv"
  top: "conv_layer46-conv"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer46-conv"
  type: "ReLU"
  bottom: "conv_layer46-conv"
  top: "conv_layer46-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer18-conv"
  type: "Convolution"
  bottom: "conv_layer17-conv"
  top: "conv_layer18-conv"
  convolution_param {
    num_output: 320
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer18-conv"
  type: "ReLU"
  bottom: "conv_layer18-conv"
  top: "conv_layer18-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer19-conv"
  type: "Convolution"
  bottom: "conv_layer18-conv"
  top: "conv_layer19-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "sigmoid19"
  type: "Sigmoid"
  bottom: "conv_layer19-conv"
  top: "conv_layer19-conv"
}
layer {
  name: "conv_layer27-conv"
  type: "Convolution"
  bottom: "conv_layer26-conv"
  top: "conv_layer27-conv"
  convolution_param {
    num_output: 224
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer27-conv"
  type: "ReLU"
  bottom: "conv_layer27-conv"
  top: "conv_layer27-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer28-conv"
  type: "Convolution"
  bottom: "conv_layer27-conv"
  top: "conv_layer28-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "sigmoid28"
  type: "Sigmoid"
  bottom: "conv_layer28-conv"
  top: "conv_layer28-conv"
}
layer {
  name: "conv_layer36-conv"
  type: "Convolution"
  bottom: "conv_layer35-conv"
  top: "conv_layer36-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer36-conv"
  type: "ReLU"
  bottom: "conv_layer36-conv"
  top: "conv_layer36-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer37-conv"
  type: "Convolution"
  bottom: "conv_layer36-conv"
  top: "conv_layer37-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "sigmoid37"
  type: "Sigmoid"
  bottom: "conv_layer37-conv"
  top: "conv_layer37-conv"
}
layer {
  name: "conv_layer47-conv"
  type: "Convolution"
  bottom: "conv_layer46-conv"
  top: "conv_layer47-conv"
  convolution_param {
    num_output: 96
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 1
    bias_filler {
      type: "constant"
      value: 0.0
    }
  }
}
layer {
  name: "act_layer47-conv"
  type: "ReLU"
  bottom: "conv_layer47-conv"
  top: "conv_layer47-conv"
  relu_param {
  }
}
layer {
  name: "conv_layer48-conv"
  type: "Convolution"
  bottom: "conv_layer47-conv"
  top: "conv_layer48-conv"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "sigmoid48"
  type: "Sigmoid"
  bottom: "conv_layer48-conv"
  top: "conv_layer48-conv"
}