nanodet-simple.prototxt

layer {
  name: "input.1"
  type: "Input"
  top: "input.1"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 320
      dim: 320
    }
  }
}
layer {
  name: "Conv_0"
  type: "Convolution"
  bottom: "input.1"
  top: "804"
  convolution_param {
    num_output: 24
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_1"
  type: "ReLU"
  bottom: "804"
  top: "432"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_2"
  type: "Convolution"
  bottom: "432"
  top: "433"
  convolution_param {
    num_output: 24
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Conv_3"
  type: "Convolution"
  bottom: "433"
  top: "807"
  convolution_param {
    num_output: 24
    bias_term: true
    group: 24
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Conv_4"
  type: "Convolution"
  bottom: "807"
  top: "810"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_5"
  type: "ReLU"
  bottom: "810"
  top: "438"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_6"
  type: "Convolution"
  bottom: "433"
  top: "813"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_7"
  type: "ReLU"
  bottom: "813"
  top: "441"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_8"
  type: "Convolution"
  bottom: "441"
  top: "816"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 58
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Conv_9"
  type: "Convolution"
  bottom: "816"
  top: "819"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_10"
  type: "ReLU"
  bottom: "819"
  top: "446"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_11"
  type: "Concat"
  bottom: "438"
  bottom: "446"
  top: "447"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_13"
  type: "Reshape"
  bottom: "447"
  top: "449"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 58
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Transpose_14"
  type: "Permute"
  bottom: "449"
  top: "450"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_16"
  type: "Reshape"
  bottom: "450"
  top: "452"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Split_17"
  type: "Slice"
  bottom: "452"
  top: "453"
  top: "454"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 58
  }
}
layer {
  name: "Conv_18"
  type: "Convolution"
  bottom: "454"
  top: "822"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_19"
  type: "ReLU"
  bottom: "822"
  top: "457"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_20"
  type: "Convolution"
  bottom: "457"
  top: "825"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 58
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_21"
  type: "Convolution"
  bottom: "825"
  top: "828"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_22"
  type: "ReLU"
  bottom: "828"
  top: "462"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_23"
  type: "Concat"
  bottom: "453"
  bottom: "462"
  top: "463"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_25"
  type: "Reshape"
  bottom: "463"
  top: "465"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 58
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Transpose_26"
  type: "Permute"
  bottom: "465"
  top: "466"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_28"
  type: "Reshape"
  bottom: "466"
  top: "468"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Split_29"
  type: "Slice"
  bottom: "468"
  top: "469"
  top: "470"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 58
  }
}
layer {
  name: "Conv_30"
  type: "Convolution"
  bottom: "470"
  top: "831"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_31"
  type: "ReLU"
  bottom: "831"
  top: "473"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_32"
  type: "Convolution"
  bottom: "473"
  top: "834"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 58
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_33"
  type: "Convolution"
  bottom: "834"
  top: "837"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_34"
  type: "ReLU"
  bottom: "837"
  top: "478"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_35"
  type: "Concat"
  bottom: "469"
  bottom: "478"
  top: "479"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_37"
  type: "Reshape"
  bottom: "479"
  top: "481"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 58
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Transpose_38"
  type: "Permute"
  bottom: "481"
  top: "482"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_40"
  type: "Reshape"
  bottom: "482"
  top: "484"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Split_41"
  type: "Slice"
  bottom: "484"
  top: "485"
  top: "486"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 58
  }
}
layer {
  name: "Conv_42"
  type: "Convolution"
  bottom: "486"
  top: "840"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_43"
  type: "ReLU"
  bottom: "840"
  top: "489"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_44"
  type: "Convolution"
  bottom: "489"
  top: "843"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 58
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_45"
  type: "Convolution"
  bottom: "843"
  top: "846"
  convolution_param {
    num_output: 58
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_46"
  type: "ReLU"
  bottom: "846"
  top: "494"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_47"
  type: "Concat"
  bottom: "485"
  bottom: "494"
  top: "495"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_49"
  type: "Reshape"
  bottom: "495"
  top: "497"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 58
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Transpose_50"
  type: "Permute"
  bottom: "497"
  top: "498"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_52"
  type: "Reshape"
  bottom: "498"
  top: "500"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Conv_53"
  type: "Convolution"
  bottom: "500"
  top: "849"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 116
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Conv_54"
  type: "Convolution"
  bottom: "849"
  top: "852"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_55"
  type: "ReLU"
  bottom: "852"
  top: "505"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_56"
  type: "Convolution"
  bottom: "500"
  top: "855"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_57"
  type: "ReLU"
  bottom: "855"
  top: "508"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_58"
  type: "Convolution"
  bottom: "508"
  top: "858"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 116
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Conv_59"
  type: "Convolution"
  bottom: "858"
  top: "861"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_60"
  type: "ReLU"
  bottom: "861"
  top: "513"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_61"
  type: "Concat"
  bottom: "505"
  bottom: "513"
  top: "514"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_63"
  type: "Reshape"
  bottom: "514"
  top: "516"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 116
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Transpose_64"
  type: "Permute"
  bottom: "516"
  top: "517"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_66"
  type: "Reshape"
  bottom: "517"
  top: "519"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Split_67"
  type: "Slice"
  bottom: "519"
  top: "520"
  top: "521"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 116
  }
}
layer {
  name: "Conv_68"
  type: "Convolution"
  bottom: "521"
  top: "864"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_69"
  type: "ReLU"
  bottom: "864"
  top: "524"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_70"
  type: "Convolution"
  bottom: "524"
  top: "867"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 116
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_71"
  type: "Convolution"
  bottom: "867"
  top: "870"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_72"
  type: "ReLU"
  bottom: "870"
  top: "529"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_73"
  type: "Concat"
  bottom: "520"
  bottom: "529"
  top: "530"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_75"
  type: "Reshape"
  bottom: "530"
  top: "532"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 116
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Transpose_76"
  type: "Permute"
  bottom: "532"
  top: "533"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_78"
  type: "Reshape"
  bottom: "533"
  top: "535"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Split_79"
  type: "Slice"
  bottom: "535"
  top: "536"
  top: "537"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 116
  }
}
layer {
  name: "Conv_80"
  type: "Convolution"
  bottom: "537"
  top: "873"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_81"
  type: "ReLU"
  bottom: "873"
  top: "540"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_82"
  type: "Convolution"
  bottom: "540"
  top: "876"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 116
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_83"
  type: "Convolution"
  bottom: "876"
  top: "879"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_84"
  type: "ReLU"
  bottom: "879"
  top: "545"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Concat_85"
  type: "Concat"
  bottom: "536"
  bottom: "545"
  top: "546"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Reshape_87"
  type: "Reshape"
  bottom: "546"
  top: "548"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 116
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Transpose_88"
  type: "Permute"
  bottom: "548"
  top: "549"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_90"
  type: "Reshape"
  bottom: "549"
  top: "551"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Split_91"
  type: "Slice"
  bottom: "551"
  top: "552"
  top: "553"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 116
  }
}
layer {
  name: "Conv_92"
  type: "Convolution"
  bottom: "553"
  top: "882"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_93"
  type: "ReLU"
  bottom: "882"
  top: "556"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_94"
  type: "Convolution"
  bottom: "556"
  top: "885"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 116
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_95"
  type: "Convolution"
  bottom: "885"
  top: "888"
  convolution_param {
    num_output: 116
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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}
layer {
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    axis: 1
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}
layer {
  name: "Reshape_197"
  type: "Reshape"
  bottom: "693"
  top: "695"
  reshape_param {
    shape {
      dim: 1
      dim: 2
      dim: 232
      dim: 10
      dim: 10
    }
  }
}
layer {
  name: "Transpose_198"
  type: "Permute"
  bottom: "695"
  top: "696"
  permute_param {
    order: 0
    order: 2
    order: 1
    order: 3
    order: 4
  }
}
layer {
  name: "Reshape_200"
  type: "Reshape"
  bottom: "696"
  top: "698"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 10
      dim: 10
    }
  }
}
layer {
  name: "Conv_201"
  type: "Convolution"
  bottom: "500"
  top: "699"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_202"
  type: "Convolution"
  bottom: "631"
  top: "700"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_203"
  type: "Convolution"
  bottom: "698"
  top: "701"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "ConvTranspose_204"
  type: "Deconvolution"
  bottom: "701"
  top: "702"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "Add_205"
  type: "Power"
  bottom: "700"
  top: "703"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "ConvTranspose_206"
  type: "Deconvolution"
  bottom: "703"
  top: "704"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 2
    kernel_w: 2
    stride_h: 2
    stride_w: 2
  }
}
layer {
  name: "Add_207"
  type: "Power"
  bottom: "699"
  top: "705"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "Conv_208"
  type: "Convolution"
  bottom: "705"
  top: "706"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Add_209"
  type: "Power"
  bottom: "703"
  top: "707"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "Conv_210"
  type: "Convolution"
  bottom: "707"
  top: "708"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "Add_211"
  type: "Power"
  bottom: "701"
  top: "709"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "Conv_212"
  type: "Convolution"
  bottom: "705"
  top: "969"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_213"
  type: "ReLU"
  bottom: "969"
  top: "712"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_214"
  type: "Convolution"
  bottom: "712"
  top: "972"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_215"
  type: "ReLU"
  bottom: "972"
  top: "715"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_216"
  type: "Convolution"
  bottom: "715"
  top: "975"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_217"
  type: "ReLU"
  bottom: "975"
  top: "718"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_218"
  type: "Convolution"
  bottom: "718"
  top: "978"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_219"
  type: "ReLU"
  bottom: "978"
  top: "721"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_220"
  type: "Convolution"
  bottom: "721"
  top: "722"
  convolution_param {
    num_output: 33
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Split_221"
  type: "Slice"
  bottom: "722"
  top: "723"
  top: "724"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 1
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}
layer {
  name: "Sigmoid_222"
  type: "Sigmoid"
  bottom: "723"
  top: "725"
}
layer {
  name: "Reshape_224"
  type: "Reshape"
  bottom: "725"
  top: "727"
  reshape_param {
    shape {
      dim: 1
      dim: 1
      dim: -1
    }
  }
}
layer {
  name: "Transpose_225"
  type: "Permute"
  bottom: "727"
  top: "728"
  permute_param {
    order: 0
    order: 2
    order: 1
  }
}
layer {
  name: "Reshape_227"
  type: "Reshape"
  bottom: "724"
  top: "730"
  reshape_param {
    shape {
      dim: 1
      dim: 32
      dim: -1
    }
  }
}
layer {
  name: "Transpose_228"
  type: "Permute"
  bottom: "730"
  top: "731"
  permute_param {
    order: 0
    order: 2
    order: 1
  }
}
layer {
  name: "Reshape_230"
  type: "Reshape"
  bottom: "731"
  top: "733"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 8
    }
  }
}
layer {
  name: "Softmax_231"
  type: "Softmax"
  bottom: "733"
  top: "734"
  softmax_param {
    axis: 2
  }
}
layer {
  name: "MatMul_232"
  type: "InnerProduct"
  bottom: "734"
  top: "736"
  inner_product_param {
    num_output: 1
    bias_term: false
  }
}
layer {
  name: "Add_233"
  type: "Power"
  bottom: "736"
  top: "737"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "Reshape_235"
  type: "Reshape"
  bottom: "737"
  top: "739"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "Conv_236"
  type: "Convolution"
  bottom: "707"
  top: "981"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_237"
  type: "ReLU"
  bottom: "981"
  top: "742"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_238"
  type: "Convolution"
  bottom: "742"
  top: "984"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_239"
  type: "ReLU"
  bottom: "984"
  top: "745"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_240"
  type: "Convolution"
  bottom: "745"
  top: "987"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_241"
  type: "ReLU"
  bottom: "987"
  top: "748"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_242"
  type: "Convolution"
  bottom: "748"
  top: "990"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_243"
  type: "ReLU"
  bottom: "990"
  top: "751"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_244"
  type: "Convolution"
  bottom: "751"
  top: "752"
  convolution_param {
    num_output: 33
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Split_245"
  type: "Slice"
  bottom: "752"
  top: "753"
  top: "754"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 1
  }
}
layer {
  name: "Sigmoid_246"
  type: "Sigmoid"
  bottom: "753"
  top: "755"
}
layer {
  name: "Reshape_248"
  type: "Reshape"
  bottom: "755"
  top: "757"
  reshape_param {
    shape {
      dim: 1
      dim: 1
      dim: -1
    }
  }
}
layer {
  name: "Transpose_249"
  type: "Permute"
  bottom: "757"
  top: "758"
  permute_param {
    order: 0
    order: 2
    order: 1
  }
}
layer {
  name: "Reshape_251"
  type: "Reshape"
  bottom: "754"
  top: "760"
  reshape_param {
    shape {
      dim: 1
      dim: 32
      dim: -1
    }
  }
}
layer {
  name: "Transpose_252"
  type: "Permute"
  bottom: "760"
  top: "761"
  permute_param {
    order: 0
    order: 2
    order: 1
  }
}
layer {
  name: "Reshape_254"
  type: "Reshape"
  bottom: "761"
  top: "763"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 8
    }
  }
}
layer {
  name: "Softmax_255"
  type: "Softmax"
  bottom: "763"
  top: "764"
  softmax_param {
    axis: 2
  }
}
layer {
  name: "MatMul_256"
  type: "InnerProduct"
  bottom: "764"
  top: "766"
  inner_product_param {
    num_output: 1
    bias_term: false
  }
}
layer {
  name: "Add_257"
  type: "Power"
  bottom: "766"
  top: "767"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "Reshape_259"
  type: "Reshape"
  bottom: "767"
  top: "769"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "Conv_260"
  type: "Convolution"
  bottom: "709"
  top: "993"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_261"
  type: "ReLU"
  bottom: "993"
  top: "772"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_262"
  type: "Convolution"
  bottom: "772"
  top: "996"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_263"
  type: "ReLU"
  bottom: "996"
  top: "775"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_264"
  type: "Convolution"
  bottom: "775"
  top: "999"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_265"
  type: "ReLU"
  bottom: "999"
  top: "778"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_266"
  type: "Convolution"
  bottom: "778"
  top: "1002"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_267"
  type: "ReLU"
  bottom: "1002"
  top: "781"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_268"
  type: "Convolution"
  bottom: "781"
  top: "782"
  convolution_param {
    num_output: 33
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Split_269"
  type: "Slice"
  bottom: "782"
  top: "783"
  top: "784"
  slice_param {
    slice_dim: 1
    slice_point: 0
    slice_point: 1
  }
}
layer {
  name: "Sigmoid_270"
  type: "Sigmoid"
  bottom: "783"
  top: "785"
}
layer {
  name: "Reshape_272"
  type: "Reshape"
  bottom: "785"
  top: "787"
  reshape_param {
    shape {
      dim: 1
      dim: 1
      dim: -1
    }
  }
}
layer {
  name: "Transpose_273"
  type: "Permute"
  bottom: "787"
  top: "788"
  permute_param {
    order: 0
    order: 2
    order: 1
  }
}
layer {
  name: "Reshape_275"
  type: "Reshape"
  bottom: "784"
  top: "790"
  reshape_param {
    shape {
      dim: 1
      dim: 32
      dim: -1
    }
  }
}
layer {
  name: "Transpose_276"
  type: "Permute"
  bottom: "790"
  top: "791"
  permute_param {
    order: 0
    order: 2
    order: 1
  }
}
layer {
  name: "Reshape_278"
  type: "Reshape"
  bottom: "791"
  top: "793"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 8
    }
  }
}
layer {
  name: "Softmax_279"
  type: "Softmax"
  bottom: "793"
  top: "794"
  softmax_param {
    axis: 2
  }
}
layer {
  name: "MatMul_280"
  type: "InnerProduct"
  bottom: "794"
  top: "796"
  inner_product_param {
    num_output: 1
    bias_term: false
  }
}
layer {
  name: "Add_281"
  type: "Power"
  bottom: "796"
  top: "797"
  power_param {
    power: 1.0
    scale: 1.0
    shift: 0.0
  }
}
layer {
  name: "Reshape_283"
  type: "Reshape"
  bottom: "797"
  top: "799"
  reshape_param {
    shape {
      dim: 1
      dim: -1
      dim: 4
    }
  }
}
layer {
  name: "Concat_284"
  type: "Concat"
  bottom: "739"
  bottom: "728"
  top: "800"
  concat_param {
    axis: 2
  }
}
layer {
  name: "Concat_285"
  type: "Concat"
  bottom: "769"
  bottom: "758"
  top: "801"
  concat_param {
    axis: 2
  }
}
layer {
  name: "Concat_286"
  type: "Concat"
  bottom: "799"
  bottom: "788"
  top: "802"
  concat_param {
    axis: 2
  }
}
layer {
  name: "Concat_287"
  type: "Concat"
  bottom: "800"
  bottom: "801"
  bottom: "802"
  top: "803"
  concat_param {
    axis: 1
  }
}