name: "HWSR-s_506_506"
input: "data"
input_dim: 1
input_dim: 1
input_dim: 256
input_dim: 256

layer {
  name: "start"
  type: "Convolution"
  bottom: "data"
  top: "start"
  convolution_param {
    num_output: 32
    pad: 3
    kernel_size: 7
    group: 1
    stride: 1
  }
}

layer {
  name: "start_ReLU"
  type: "ReLU"
  bottom: "start"
  top: "start"
}
layer {
  name: "bottleneck"
  type: "Convolution"
  bottom: "start"
  top: "bottleneck"
  convolution_param {
    num_output: 12
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
  }
}
layer {
  name: "bottleneck_ReLU"
  type: "ReLU"
  bottom: "bottleneck"
  top: "bottleneck"
}
layer {
  name: "iter-0-0"
  type: "Convolution"
  bottom: "bottleneck"
  top: "iter-0-0"
  convolution_param {
    num_output: 12
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-0-0_ReLU"
  type: "ReLU"
  bottom: "iter-0-0"
  top: "iter-0-0"
}
layer {
  name: "iter-0-1"
  type: "Convolution"
  bottom: "iter-0-0"
  top: "iter-0-1"
  convolution_param {
    num_output: 12
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-0-1_ReLU"
  type: "ReLU"
  bottom: "iter-0-1"
  top: "iter-0-1"
}
layer {
  name: "iter-1-0"
  type: "Convolution"
  bottom: "iter-0-1"
  top: "iter-1-0"
  convolution_param {
    num_output: 12
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-1-0_ReLU"
  type: "ReLU"
  bottom: "iter-1-0"
  top: "iter-1-0"
}
layer {
  name: "iter-1-1"
  type: "Convolution"
  bottom: "iter-1-0"
  top: "iter-1-1"
  convolution_param {
    num_output: 12
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-1-1_ReLU"
  type: "ReLU"
  bottom: "iter-1-1"
  top: "iter-1-1"
}
layer {
  name: "iter-2-0"
  type: "Convolution"
  bottom: "iter-1-1"
  top: "iter-2-0"
  convolution_param {
    num_output: 12
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-2-0_ReLU"
  type: "ReLU"
  bottom: "iter-2-0"
  top: "iter-2-0"
}
layer {
  name: "iter-2-1"
  type: "Convolution"
  bottom: "iter-2-0"
  top: "iter-2-1"
  convolution_param {
    num_output: 12
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-2-1_ReLU"
  type: "ReLU"
  bottom: "iter-2-1"
  top: "iter-2-1"
}
layer {
  name: "iter-3-0"
  type: "Convolution"
  bottom: "iter-2-1"
  top: "iter-3-0"
  convolution_param {
    num_output: 12
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-3-0_ReLU"
  type: "ReLU"
  bottom: "iter-3-0"
  top: "iter-3-0"
}
layer {
  name: "iter-3-1"
  type: "Convolution"
  bottom: "iter-3-0"
  top: "iter-3-1"
  convolution_param {
    num_output: 12
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
  }
}
layer {
  name: "iter-3-1_ReLU"
  type: "ReLU"
  bottom: "iter-3-1"
  top: "iter-3-1"
}
layer {
  name: "Eltwise1"
  type: "Eltwise"
  bottom: "iter-3-1"
  bottom: "bottleneck"
  top: "Eltwise1"
  eltwise_param {
    coeff: 1.0
    coeff: 1.0
  }
}

layer {
  name: "un_bottleneck"
  type: "Convolution"
  bottom: "Eltwise1"
  top: "un_bottleneck"
  convolution_param {
    num_output: 32
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
  }
}
layer {
  name: "un_bottleneck_ReLU"
  type: "ReLU"
  bottom: "un_bottleneck"
  top: "un_bottleneck"
}
layer {
  name: "upscale0"
  type: "Deconvolution"
  bottom: "un_bottleneck"
  top: "upscale0"
  convolution_param {
    num_output: 1
    pad: 3
    kernel_size: 9
    stride: 3
  }
}