input: "data"
input_dim: 1
input_dim: 3
input_dim: 512
input_dim: 512
layer {
  bottom: "data"
  top: "bn_data"
  name: "bn_data"
  type: "BatchNorm"
}

layer {
  bottom: "bn_data"
  top: "bn_data_scale"
  name: "bn_data_scale"
  type: "Scale"
  scale_param { bias_term: true }
}

layer {
    name: "ConvNdBackward1"
    type: "Convolution"
    bottom: "bn_data_scale"
    top: "ConvNdBackward1"
    convolution_param {
        num_output: 64
        kernel_size: 7
        pad: 3
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward2_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward1"
    top: "BatchNormBackward2"
}
layer {
    name: "BatchNormBackward2_scale"
    type: "Scale"
    bottom: "BatchNormBackward2"
    top: "BatchNormBackward2"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward3"
    type: "ReLU"
    bottom: "BatchNormBackward2"
    top: "BatchNormBackward2"
}
layer {
    name: "MaxPool2DBackward4"
    type: "Pooling"
    bottom: "BatchNormBackward2"
    top: "MaxPool2DBackward4"
    pooling_param {
        pool: MAX
        kernel_size: 3
        pad: 0
        stride: 2
    }
}
layer {
    name: "ConvNdBackward5"
    type: "Convolution"
    bottom: "MaxPool2DBackward4"
    top: "ConvNdBackward5"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward6_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward5"
    top: "BatchNormBackward6"
}
layer {
    name: "BatchNormBackward6_scale"
    type: "Scale"
    bottom: "BatchNormBackward6"
    top: "BatchNormBackward6"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward7"
    type: "ReLU"
    bottom: "BatchNormBackward6"
    top: "BatchNormBackward6"
}
layer {
    name: "ConvNdBackward8"
    type: "Convolution"
    bottom: "BatchNormBackward6"
    top: "ConvNdBackward8"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward9_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward8"
    top: "BatchNormBackward9"
}
layer {
    name: "BatchNormBackward9_scale"
    type: "Scale"
    bottom: "BatchNormBackward9"
    top: "BatchNormBackward9"
    scale_param { bias_term: true }
}

layer {
    name: "ConvNdBackward10"
    type: "Convolution"
    bottom: "MaxPool2DBackward4"
    top: "ConvNdBackward10"
    convolution_param {
        num_output: 32
        kernel_size: 1
        pad: 0
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward10_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward10"
    top: "BatchNormBackward10"
}
layer {
    name: "BatchNormBackward10_scale"
    type: "Scale"
    bottom: "BatchNormBackward10"
    top: "BatchNormBackward10"
    scale_param { bias_term: true }
}

layer {
    name: "AddBackward111"
    type: "Eltwise"
    bottom: "BatchNormBackward9"
	bottom: "BatchNormBackward10"
    top: "AddBackward111"
}
layer {
    name: "ThresholdBackward12"
    type: "ReLU"
    bottom: "AddBackward111"
    top: "AddBackward111"
}
layer {
    name: "ConvNdBackward13"
    type: "Convolution"
    bottom: "AddBackward111"
    top: "ConvNdBackward13"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward14_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward13"
    top: "BatchNormBackward14"
}
layer {
    name: "BatchNormBackward14_scale"
    type: "Scale"
    bottom: "BatchNormBackward14"
    top: "BatchNormBackward14"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward15"
    type: "ReLU"
    bottom: "BatchNormBackward14"
    top: "BatchNormBackward14"
}
layer {
    name: "ConvNdBackward16"
    type: "Convolution"
    bottom: "BatchNormBackward14"
    top: "ConvNdBackward16"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward17_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward16"
    top: "BatchNormBackward17"
}
layer {
    name: "BatchNormBackward17_scale"
    type: "Scale"
    bottom: "BatchNormBackward17"
    top: "BatchNormBackward17"
    scale_param { bias_term: true }
}
layer {
    name: "AddBackward119"
    type: "Eltwise"
    bottom: "BatchNormBackward17"
    bottom: "AddBackward111"
    top: "AddBackward119"
}
layer {
    name: "ThresholdBackward20"
    type: "ReLU"
    bottom: "AddBackward119"
    top: "AddBackward119"
}
layer {
    name: "ConvNdBackward21"
    type: "Convolution"
    bottom: "AddBackward119"
    top: "ConvNdBackward21"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward22_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward21"
    top: "BatchNormBackward22"
}
layer {
    name: "BatchNormBackward22_scale"
    type: "Scale"
    bottom: "BatchNormBackward22"
    top: "BatchNormBackward22"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward23"
    type: "ReLU"
    bottom: "BatchNormBackward22"
    top: "BatchNormBackward22"
}
layer {
    name: "ConvNdBackward24"
    type: "Convolution"
    bottom: "BatchNormBackward22"
    top: "ConvNdBackward24"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward25_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward24"
    top: "BatchNormBackward25"
}
layer {
    name: "BatchNormBackward25_scale"
    type: "Scale"
    bottom: "BatchNormBackward25"
    top: "BatchNormBackward25"
    scale_param { bias_term: true }
}
layer {
    name: "ConvNdBackward27"
    type: "Convolution"
    bottom: "AddBackward119"
    top: "ConvNdBackward27"
    convolution_param {
        num_output: 64
        kernel_size: 1
        pad: 0
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward28_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward27"
    top: "BatchNormBackward28"
}
layer {
    name: "BatchNormBackward28_scale"
    type: "Scale"
    bottom: "BatchNormBackward28"
    top: "BatchNormBackward28"
    scale_param { bias_term: true }
}
layer {
    name: "AddBackward129"
    type: "Eltwise"
    bottom: "BatchNormBackward25"
    bottom: "BatchNormBackward28"
    top: "AddBackward129"
}
layer {
    name: "ThresholdBackward30"
    type: "ReLU"
    bottom: "AddBackward129"
    top: "AddBackward129"
}
layer {
    name: "ConvNdBackward31"
    type: "Convolution"
    bottom: "AddBackward129"
    top: "ConvNdBackward31"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward32_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward31"
    top: "BatchNormBackward32"
}
layer {
    name: "BatchNormBackward32_scale"
    type: "Scale"
    bottom: "BatchNormBackward32"
    top: "BatchNormBackward32"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward33"
    type: "ReLU"
    bottom: "BatchNormBackward32"
    top: "BatchNormBackward32"
}
layer {
    name: "ConvNdBackward34"
    type: "Convolution"
    bottom: "BatchNormBackward32"
    top: "ConvNdBackward34"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward35_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward34"
    top: "BatchNormBackward35"
}
layer {
    name: "BatchNormBackward35_scale"
    type: "Scale"
    bottom: "BatchNormBackward35"
    top: "BatchNormBackward35"
    scale_param { bias_term: true }
}
layer {
    name: "AddBackward137"
    type: "Eltwise"
    bottom: "BatchNormBackward35"
    bottom: "AddBackward129"
    top: "AddBackward137"
}
layer {
    name: "ThresholdBackward38"
    type: "ReLU"
    bottom: "AddBackward137"
    top: "AddBackward137"
}
layer {
    name: "ConvNdBackward39"
    type: "Convolution"
    bottom: "AddBackward137"
    top: "ConvNdBackward39"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward40_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward39"
    top: "BatchNormBackward40"
}
layer {
    name: "BatchNormBackward40_scale"
    type: "Scale"
    bottom: "BatchNormBackward40"
    top: "BatchNormBackward40"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward41"
    type: "ReLU"
    bottom: "BatchNormBackward40"
    top: "BatchNormBackward40"
}
layer {
    name: "ConvNdBackward42"
    type: "Convolution"
    bottom: "BatchNormBackward40"
    top: "ConvNdBackward42"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward43_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward42"
    top: "BatchNormBackward43"
}
layer {
    name: "BatchNormBackward43_scale"
    type: "Scale"
    bottom: "BatchNormBackward43"
    top: "BatchNormBackward43"
    scale_param { bias_term: true }
}
layer {
    name: "ConvNdBackward45"
    type: "Convolution"
    bottom: "AddBackward137"
    top: "ConvNdBackward45"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward46_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward45"
    top: "BatchNormBackward46"
}
layer {
    name: "BatchNormBackward46_scale"
    type: "Scale"
    bottom: "BatchNormBackward46"
    top: "BatchNormBackward46"
    scale_param { bias_term: true }
}
layer {
    name: "AddBackward147"
    type: "Eltwise"
    bottom: "BatchNormBackward43"
    bottom: "BatchNormBackward46"
    top: "AddBackward147"
}
layer {
    name: "ThresholdBackward48"
    type: "ReLU"
    bottom: "AddBackward147"
    top: "AddBackward147"
}
layer {
    name: "ConvNdBackward49"
    type: "Convolution"
    bottom: "AddBackward147"
    top: "ConvNdBackward49"
    convolution_param {
    num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward50_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward49"
    top: "BatchNormBackward50"
}
layer {
    name: "BatchNormBackward50_scale"
    type: "Scale"
    bottom: "BatchNormBackward50"
    top: "BatchNormBackward50"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward51"
    type: "ReLU"
    bottom: "BatchNormBackward50"
    top: "BatchNormBackward50"
}
layer {
    name: "ConvNdBackward52"
    type: "Convolution"
    bottom: "BatchNormBackward50"
    top: "ConvNdBackward52"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward53_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward52"
    top: "BatchNormBackward53"
}
layer {
    name: "BatchNormBackward53_scale"
    type: "Scale"
    bottom: "BatchNormBackward53"
    top: "BatchNormBackward53"
    scale_param { bias_term: true }
}
layer {
    name: "AddBackward155"
    type: "Eltwise"
    bottom: "BatchNormBackward53"
    bottom: "AddBackward147"
    top: "AddBackward155"
}
layer {
    name: "ThresholdBackward56"
    type: "ReLU"
    bottom: "AddBackward155"
    top: "AddBackward155"
}
layer {
    name: "BatchNormBackward57_bn"
    type: "BatchNorm"
    bottom: "AddBackward155"
    top: "BatchNormBackward57"
}
layer {
    name: "BatchNormBackward57_scale"
    type: "Scale"
    bottom: "BatchNormBackward57"
    top: "BatchNormBackward57"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward58"
    type: "ReLU"
    bottom: "BatchNormBackward57"
    top: "BatchNormBackward57"
}
layer {
    name: "ConvNdBackward59"
    type: "Convolution"
    bottom: "BatchNormBackward57"
    top: "ConvNdBackward59"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 1
        bias_term: false
    }
}
layer {
    name: "ConvNdBackward61"
    type: "Convolution"
    bottom: "AddBackward155"
    top: "ConvNdBackward61"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward62_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward61"
    top: "BatchNormBackward62"
}
layer {
    name: "BatchNormBackward62_scale"
    type: "Scale"
    bottom: "BatchNormBackward62"
    top: "BatchNormBackward62"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward63"
    type: "ReLU"
    bottom: "BatchNormBackward62"
    top: "BatchNormBackward62"
}
layer {
    name: "ConvNdBackward64"
    type: "Convolution"
    bottom: "BatchNormBackward62"
    top: "ConvNdBackward64"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward65_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward64"
    top: "BatchNormBackward65"
}
layer {
    name: "BatchNormBackward65_scale"
    type: "Scale"
    bottom: "BatchNormBackward65"
    top: "BatchNormBackward65"
    scale_param { bias_term: true }
}
layer {
    name: "ConvNdBackward67"
    type: "Convolution"
    bottom: "AddBackward155"
    top: "ConvNdBackward67"
    convolution_param {
    num_output: 256
        kernel_size: 1
        pad: 0
        stride: 2
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward68_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward67"
    top: "BatchNormBackward68"
}
layer {
    name: "BatchNormBackward68_scale"
    type: "Scale"
    bottom: "BatchNormBackward68"
    top: "BatchNormBackward68"
    scale_param { bias_term: true }
}
layer {
    name: "AddBackward169"
    type: "Eltwise"
    bottom: "BatchNormBackward65"
    bottom: "BatchNormBackward68"
    top: "AddBackward169"
}
layer {
    name: "ThresholdBackward70"
    type: "ReLU"
    bottom: "AddBackward169"
    top: "AddBackward169"
}
layer {
    name: "ConvNdBackward71"
    type: "Convolution"
    bottom: "AddBackward169"
    top: "ConvNdBackward71"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward72_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward71"
    top: "BatchNormBackward72"
}
layer {
    name: "BatchNormBackward72_scale"
    type: "Scale"
    bottom: "BatchNormBackward72"
    top: "BatchNormBackward72"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward73"
    type: "ReLU"
    bottom: "BatchNormBackward72"
    top: "BatchNormBackward72"
}
layer {
    name: "ConvNdBackward74"
    type: "Convolution"
    bottom: "BatchNormBackward72"
    top: "ConvNdBackward74"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        bias_term: false
    }
}
layer {
    name: "BatchNormBackward75_bn"
    type: "BatchNorm"
    bottom: "ConvNdBackward74"
    top: "BatchNormBackward75"
}
layer {
    name: "BatchNormBackward75_scale"
    type: "Scale"
    bottom: "BatchNormBackward75"
    top: "BatchNormBackward75"
    scale_param { bias_term: true }
}

layer {
    name: "AddBackward177"
    type: "Eltwise"
    bottom: "BatchNormBackward75"
    bottom: "AddBackward169"
    top: "AddBackward177"
}
layer {
    name: "ThresholdBackward78"
    type: "ReLU"
    bottom: "AddBackward177"
    top: "AddBackward177"
}
layer {
    name: "BatchNormBackward79_bn"
    type: "BatchNorm"
    bottom: "AddBackward177"
    top: "BatchNormBackward79"
}
layer {
    name: "BatchNormBackward79_scale"
    type: "Scale"
    bottom: "BatchNormBackward79"
    top: "BatchNormBackward79"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward80"
    type: "ReLU"
    bottom: "BatchNormBackward79"
    top: "BatchNormBackward79"
}
layer {
    name: "ConvNdBackward81"
    type: "Convolution"
    bottom: "BatchNormBackward79"
    top: "ConvNdBackward81"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 1
        bias_term: false
    }
}
layer {
    name: "Upsampling_1"
    type: "Interp"
    bottom: "ConvNdBackward81"
    top: "Upsampling_1"
    interp_param {
        height: 32
        width: 32
    }
}
layer {
    name: "AddBackward183"
    type: "Eltwise"
    bottom: "ConvNdBackward59"
    bottom: "Upsampling_1"
    top: "AddBackward183"
}
layer {
    name: "BatchNormBackward84_bn"
    type: "BatchNorm"
    bottom: "AddBackward183"
    top: "BatchNormBackward84"
}
layer {
    name: "BatchNormBackward84_scale"
    type: "Scale"
    bottom: "BatchNormBackward84"
    top: "BatchNormBackward84"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward85"
    type: "ReLU"
    bottom: "BatchNormBackward84"
    top: "BatchNormBackward84"
}
layer {
    name: "ConvNdBackward86"
    type: "Convolution"
    bottom: "BatchNormBackward84"
    top: "ConvNdBackward86"
    convolution_param {
        dilation: 4
        num_output: 128
        kernel_size: 3
        pad: 4
        stride: 1
        bias_term: false
    }
}
layer {
    name: "Upsampling_2"
    type: "Interp"
    bottom: "ConvNdBackward86"
    top: "Upsampling_2"
    interp_param {
        height: 64
        width: 64
    }
}
layer {
    name: "BatchNormBackward89_bn"
    type: "BatchNorm"
    bottom: "AddBackward137"
    top: "BatchNormBackward89"
}
layer {
    name: "BatchNormBackward89_scale"
    type: "Scale"
    bottom: "BatchNormBackward89"
    top: "BatchNormBackward89"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward90"
    type: "ReLU"
    bottom: "BatchNormBackward89"
    top: "BatchNormBackward89"
}
layer {
    name: "ConvNdBackward91"
    type: "Convolution"
    bottom: "BatchNormBackward89"
    top: "ConvNdBackward91"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 1
        bias_term: false
    }
}
layer {
    name: "AddBackward192"
    type: "Eltwise"
    bottom: "Upsampling_2"
    bottom: "ConvNdBackward91"
    top: "AddBackward192"
}
layer {
    name: "BatchNormBackward93_bn"
    type: "BatchNorm"
    bottom: "AddBackward192"
    top: "BatchNormBackward93"
}
layer {
    name: "BatchNormBackward93_scale"
    type: "Scale"
    bottom: "BatchNormBackward93"
    top: "BatchNormBackward93"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward94"
    type: "ReLU"
    bottom: "BatchNormBackward93"
    top: "BatchNormBackward93"
}
layer {
    name: "ConvNdBackward95"
    type: "Convolution"
    bottom: "BatchNormBackward93"
    top: "ConvNdBackward95"
    convolution_param {
        dilation: 7
        num_output: 128
        kernel_size: 3
        pad: 7
        stride: 1
        bias_term: false
    }
}
layer {
    name: "Upsampling_3"
    type: "Interp"
    bottom: "ConvNdBackward95"
    top: "Upsampling_3"
    interp_param {
        height: 128
        width: 128
    }
}
layer {
    name: "BatchNormBackward98_bn"
    type: "BatchNorm"
    bottom: "AddBackward119"
    top: "BatchNormBackward98"
}
layer {
    name: "BatchNormBackward98_scale"
    type: "Scale"
    bottom: "BatchNormBackward98"
    top: "BatchNormBackward98"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward99"
    type: "ReLU"
    bottom: "BatchNormBackward98"
    top: "BatchNormBackward98"
}
layer {
    name: "ConvNdBackward100"
    type: "Convolution"
    bottom: "BatchNormBackward98"
    top: "ConvNdBackward100"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 1
        bias_term: false
    }
}
layer {
    name: "AddBackward1101"
    type: "Eltwise"
    bottom: "Upsampling_3"
    bottom: "ConvNdBackward100"
    top: "AddBackward1101"
}
layer {
    name: "BatchNormBackward102_bn"
    type: "BatchNorm"
    bottom: "AddBackward1101"
    top: "BatchNormBackward102"
}
layer {
    name: "BatchNormBackward102_scale"
    type: "Scale"
    bottom: "BatchNormBackward102"
    top: "BatchNormBackward102"
    scale_param { bias_term: true }
}
layer {
    name: "ThresholdBackward103"
    type: "ReLU"
    bottom: "BatchNormBackward102"
    top: "BatchNormBackward102"
}
layer {
    name: "ConvNdBackward104_Portrait" 
    type: "Convolution"
    bottom: "BatchNormBackward102"
    top: "ConvNdBackward104_Portrait"
    convolution_param {
        num_output: 2
        kernel_size: 3
        pad: 1
        stride: 1
    }
}

layer {
    name: "Upsampling_out"
    type: "Interp"
    bottom: "ConvNdBackward104_Portrait"
    top: "Upsampling_out"
    interp_param {
        height: 512
        width: 512
    }
}

layer {
  name: "SoftmaxClassification"
  type: "Softmax"
  bottom: "Upsampling_out"
  top: "SoftmaxClassification"
}