yolov5s-4.0-10op.prototxt

layer {
  name: "images"
  type: "Input"
  top: "images"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 640
      dim: 640
    }
  }
}
layer {
  name: "Conv_0"
  type: "Convolution"
  bottom: "images"
  top: "127"
  convolution_param {
    num_output: 32
    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: "Sigmoid_1"
  type: "Sigmoid"
  bottom: "127"
  top: "128"
}
layer {
  name: "Mul_2"
  type: "Eltwise"
  bottom: "127"
  bottom: "128"
  top: "129"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_3"
  type: "Convolution"
  bottom: "129"
  top: "130"
  convolution_param {
    num_output: 64
    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: "Sigmoid_4"
  type: "Sigmoid"
  bottom: "130"
  top: "131"
}
layer {
  name: "Mul_5"
  type: "Eltwise"
  bottom: "130"
  bottom: "131"
  top: "132"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_6"
  type: "Convolution"
  bottom: "132"
  top: "133"
  convolution_param {
    num_output: 32
    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: "Sigmoid_7"
  type: "Sigmoid"
  bottom: "133"
  top: "134"
}
layer {
  name: "Mul_8"
  type: "Eltwise"
  bottom: "133"
  bottom: "134"
  top: "135"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_9"
  type: "Convolution"
  bottom: "135"
  top: "136"
  convolution_param {
    num_output: 32
    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: "Sigmoid_10"
  type: "Sigmoid"
  bottom: "136"
  top: "137"
}
layer {
  name: "Mul_11"
  type: "Eltwise"
  bottom: "136"
  bottom: "137"
  top: "138"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_12"
  type: "Convolution"
  bottom: "138"
  top: "139"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_13"
  type: "Sigmoid"
  bottom: "139"
  top: "140"
}
layer {
  name: "Mul_14"
  type: "Eltwise"
  bottom: "139"
  bottom: "140"
  top: "141"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_15"
  type: "Eltwise"
  bottom: "135"
  bottom: "141"
  top: "142"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_16"
  type: "Convolution"
  bottom: "132"
  top: "143"
  convolution_param {
    num_output: 32
    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: "Sigmoid_17"
  type: "Sigmoid"
  bottom: "143"
  top: "144"
}
layer {
  name: "Mul_18"
  type: "Eltwise"
  bottom: "143"
  bottom: "144"
  top: "145"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_19"
  type: "Concat"
  bottom: "142"
  bottom: "145"
  top: "146"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_20"
  type: "Convolution"
  bottom: "146"
  top: "147"
  convolution_param {
    num_output: 64
    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: "Sigmoid_21"
  type: "Sigmoid"
  bottom: "147"
  top: "148"
}
layer {
  name: "Mul_22"
  type: "Eltwise"
  bottom: "147"
  bottom: "148"
  top: "149"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_23"
  type: "Convolution"
  bottom: "149"
  top: "150"
  convolution_param {
    num_output: 128
    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: "Sigmoid_24"
  type: "Sigmoid"
  bottom: "150"
  top: "151"
}
layer {
  name: "Mul_25"
  type: "Eltwise"
  bottom: "150"
  bottom: "151"
  top: "152"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_26"
  type: "Convolution"
  bottom: "152"
  top: "153"
  convolution_param {
    num_output: 64
    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: "Sigmoid_27"
  type: "Sigmoid"
  bottom: "153"
  top: "154"
}
layer {
  name: "Mul_28"
  type: "Eltwise"
  bottom: "153"
  bottom: "154"
  top: "155"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_29"
  type: "Convolution"
  bottom: "155"
  top: "156"
  convolution_param {
    num_output: 64
    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: "Sigmoid_30"
  type: "Sigmoid"
  bottom: "156"
  top: "157"
}
layer {
  name: "Mul_31"
  type: "Eltwise"
  bottom: "156"
  bottom: "157"
  top: "158"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_32"
  type: "Convolution"
  bottom: "158"
  top: "159"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_33"
  type: "Sigmoid"
  bottom: "159"
  top: "160"
}
layer {
  name: "Mul_34"
  type: "Eltwise"
  bottom: "159"
  bottom: "160"
  top: "161"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_35"
  type: "Eltwise"
  bottom: "155"
  bottom: "161"
  top: "162"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_36"
  type: "Convolution"
  bottom: "162"
  top: "163"
  convolution_param {
    num_output: 64
    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: "Sigmoid_37"
  type: "Sigmoid"
  bottom: "163"
  top: "164"
}
layer {
  name: "Mul_38"
  type: "Eltwise"
  bottom: "163"
  bottom: "164"
  top: "165"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_39"
  type: "Convolution"
  bottom: "165"
  top: "166"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_40"
  type: "Sigmoid"
  bottom: "166"
  top: "167"
}
layer {
  name: "Mul_41"
  type: "Eltwise"
  bottom: "166"
  bottom: "167"
  top: "168"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_42"
  type: "Eltwise"
  bottom: "162"
  bottom: "168"
  top: "169"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_43"
  type: "Convolution"
  bottom: "169"
  top: "170"
  convolution_param {
    num_output: 64
    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: "Sigmoid_44"
  type: "Sigmoid"
  bottom: "170"
  top: "171"
}
layer {
  name: "Mul_45"
  type: "Eltwise"
  bottom: "170"
  bottom: "171"
  top: "172"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_46"
  type: "Convolution"
  bottom: "172"
  top: "173"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_47"
  type: "Sigmoid"
  bottom: "173"
  top: "174"
}
layer {
  name: "Mul_48"
  type: "Eltwise"
  bottom: "173"
  bottom: "174"
  top: "175"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_49"
  type: "Eltwise"
  bottom: "169"
  bottom: "175"
  top: "176"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_50"
  type: "Convolution"
  bottom: "152"
  top: "177"
  convolution_param {
    num_output: 64
    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: "Sigmoid_51"
  type: "Sigmoid"
  bottom: "177"
  top: "178"
}
layer {
  name: "Mul_52"
  type: "Eltwise"
  bottom: "177"
  bottom: "178"
  top: "179"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_53"
  type: "Concat"
  bottom: "176"
  bottom: "179"
  top: "180"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_54"
  type: "Convolution"
  bottom: "180"
  top: "181"
  convolution_param {
    num_output: 128
    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: "Sigmoid_55"
  type: "Sigmoid"
  bottom: "181"
  top: "182"
}
layer {
  name: "Mul_56"
  type: "Eltwise"
  bottom: "181"
  bottom: "182"
  top: "183"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_57"
  type: "Convolution"
  bottom: "183"
  top: "184"
  convolution_param {
    num_output: 256
    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: "Sigmoid_58"
  type: "Sigmoid"
  bottom: "184"
  top: "185"
}
layer {
  name: "Mul_59"
  type: "Eltwise"
  bottom: "184"
  bottom: "185"
  top: "186"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_60"
  type: "Convolution"
  bottom: "186"
  top: "187"
  convolution_param {
    num_output: 128
    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: "Sigmoid_61"
  type: "Sigmoid"
  bottom: "187"
  top: "188"
}
layer {
  name: "Mul_62"
  type: "Eltwise"
  bottom: "187"
  bottom: "188"
  top: "189"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_63"
  type: "Convolution"
  bottom: "189"
  top: "190"
  convolution_param {
    num_output: 128
    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: "Sigmoid_64"
  type: "Sigmoid"
  bottom: "190"
  top: "191"
}
layer {
  name: "Mul_65"
  type: "Eltwise"
  bottom: "190"
  bottom: "191"
  top: "192"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_66"
  type: "Convolution"
  bottom: "192"
  top: "193"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_67"
  type: "Sigmoid"
  bottom: "193"
  top: "194"
}
layer {
  name: "Mul_68"
  type: "Eltwise"
  bottom: "193"
  bottom: "194"
  top: "195"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_69"
  type: "Eltwise"
  bottom: "189"
  bottom: "195"
  top: "196"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_70"
  type: "Convolution"
  bottom: "196"
  top: "197"
  convolution_param {
    num_output: 128
    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: "Sigmoid_71"
  type: "Sigmoid"
  bottom: "197"
  top: "198"
}
layer {
  name: "Mul_72"
  type: "Eltwise"
  bottom: "197"
  bottom: "198"
  top: "199"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_73"
  type: "Convolution"
  bottom: "199"
  top: "200"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_74"
  type: "Sigmoid"
  bottom: "200"
  top: "201"
}
layer {
  name: "Mul_75"
  type: "Eltwise"
  bottom: "200"
  bottom: "201"
  top: "202"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_76"
  type: "Eltwise"
  bottom: "196"
  bottom: "202"
  top: "203"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_77"
  type: "Convolution"
  bottom: "203"
  top: "204"
  convolution_param {
    num_output: 128
    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: "Sigmoid_78"
  type: "Sigmoid"
  bottom: "204"
  top: "205"
}
layer {
  name: "Mul_79"
  type: "Eltwise"
  bottom: "204"
  bottom: "205"
  top: "206"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_80"
  type: "Convolution"
  bottom: "206"
  top: "207"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_81"
  type: "Sigmoid"
  bottom: "207"
  top: "208"
}
layer {
  name: "Mul_82"
  type: "Eltwise"
  bottom: "207"
  bottom: "208"
  top: "209"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Add_83"
  type: "Eltwise"
  bottom: "203"
  bottom: "209"
  top: "210"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_84"
  type: "Convolution"
  bottom: "186"
  top: "211"
  convolution_param {
    num_output: 128
    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: "Sigmoid_85"
  type: "Sigmoid"
  bottom: "211"
  top: "212"
}
layer {
  name: "Mul_86"
  type: "Eltwise"
  bottom: "211"
  bottom: "212"
  top: "213"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_87"
  type: "Concat"
  bottom: "210"
  bottom: "213"
  top: "214"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_88"
  type: "Convolution"
  bottom: "214"
  top: "215"
  convolution_param {
    num_output: 256
    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: "Sigmoid_89"
  type: "Sigmoid"
  bottom: "215"
  top: "216"
}
layer {
  name: "Mul_90"
  type: "Eltwise"
  bottom: "215"
  bottom: "216"
  top: "217"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_91"
  type: "Convolution"
  bottom: "217"
  top: "218"
  convolution_param {
    num_output: 512
    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: "Sigmoid_92"
  type: "Sigmoid"
  bottom: "218"
  top: "219"
}
layer {
  name: "Mul_93"
  type: "Eltwise"
  bottom: "218"
  bottom: "219"
  top: "220"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_94"
  type: "Convolution"
  bottom: "220"
  top: "221"
  convolution_param {
    num_output: 256
    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: "Sigmoid_95"
  type: "Sigmoid"
  bottom: "221"
  top: "222"
}
layer {
  name: "Mul_96"
  type: "Eltwise"
  bottom: "221"
  bottom: "222"
  top: "223"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "MaxPool_97"
  type: "Pooling"
  bottom: "223"
  top: "224"
  pooling_param {
    pool: MAX
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    pad_h: 2
    pad_w: 2
  }
}
layer {
  name: "MaxPool_98"
  type: "Pooling"
  bottom: "223"
  top: "225"
  pooling_param {
    pool: MAX
    kernel_h: 9
    kernel_w: 9
    stride_h: 1
    stride_w: 1
    pad_h: 4
    pad_w: 4
  }
}
layer {
  name: "MaxPool_99"
  type: "Pooling"
  bottom: "223"
  top: "226"
  pooling_param {
    pool: MAX
    kernel_h: 13
    kernel_w: 13
    stride_h: 1
    stride_w: 1
    pad_h: 6
    pad_w: 6
  }
}
layer {
  name: "Concat_100"
  type: "Concat"
  bottom: "223"
  bottom: "224"
  bottom: "225"
  bottom: "226"
  top: "227"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_101"
  type: "Convolution"
  bottom: "227"
  top: "228"
  convolution_param {
    num_output: 512
    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: "Sigmoid_102"
  type: "Sigmoid"
  bottom: "228"
  top: "229"
}
layer {
  name: "Mul_103"
  type: "Eltwise"
  bottom: "228"
  bottom: "229"
  top: "230"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_104"
  type: "Convolution"
  bottom: "230"
  top: "231"
  convolution_param {
    num_output: 256
    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: "Sigmoid_105"
  type: "Sigmoid"
  bottom: "231"
  top: "232"
}
layer {
  name: "Mul_106"
  type: "Eltwise"
  bottom: "231"
  bottom: "232"
  top: "233"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_107"
  type: "Convolution"
  bottom: "233"
  top: "234"
  convolution_param {
    num_output: 256
    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: "Sigmoid_108"
  type: "Sigmoid"
  bottom: "234"
  top: "235"
}
layer {
  name: "Mul_109"
  type: "Eltwise"
  bottom: "234"
  bottom: "235"
  top: "236"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_110"
  type: "Convolution"
  bottom: "236"
  top: "237"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_111"
  type: "Sigmoid"
  bottom: "237"
  top: "238"
}
layer {
  name: "Mul_112"
  type: "Eltwise"
  bottom: "237"
  bottom: "238"
  top: "239"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_113"
  type: "Convolution"
  bottom: "230"
  top: "240"
  convolution_param {
    num_output: 256
    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: "Sigmoid_114"
  type: "Sigmoid"
  bottom: "240"
  top: "241"
}
layer {
  name: "Mul_115"
  type: "Eltwise"
  bottom: "240"
  bottom: "241"
  top: "242"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_116"
  type: "Concat"
  bottom: "239"
  bottom: "242"
  top: "243"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_117"
  type: "Convolution"
  bottom: "243"
  top: "244"
  convolution_param {
    num_output: 512
    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: "Sigmoid_118"
  type: "Sigmoid"
  bottom: "244"
  top: "245"
}
layer {
  name: "Mul_119"
  type: "Eltwise"
  bottom: "244"
  bottom: "245"
  top: "246"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_120"
  type: "Convolution"
  bottom: "246"
  top: "247"
  convolution_param {
    num_output: 256
    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: "Sigmoid_121"
  type: "Sigmoid"
  bottom: "247"
  top: "248"
}
layer {
  name: "Mul_122"
  type: "Eltwise"
  bottom: "247"
  bottom: "248"
  top: "249"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Resize_123"
  type: "Upsample"
  bottom: "249"
  top: "253"
  upsample_param {
    height_scale: 2
    width_scale: 2
    mode: NEAREST
  }
}
layer {
  name: "Concat_124"
  type: "Concat"
  bottom: "253"
  bottom: "217"
  top: "254"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_125"
  type: "Convolution"
  bottom: "254"
  top: "255"
  convolution_param {
    num_output: 128
    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: "Sigmoid_126"
  type: "Sigmoid"
  bottom: "255"
  top: "256"
}
layer {
  name: "Mul_127"
  type: "Eltwise"
  bottom: "255"
  bottom: "256"
  top: "257"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_128"
  type: "Convolution"
  bottom: "257"
  top: "258"
  convolution_param {
    num_output: 128
    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: "Sigmoid_129"
  type: "Sigmoid"
  bottom: "258"
  top: "259"
}
layer {
  name: "Mul_130"
  type: "Eltwise"
  bottom: "258"
  bottom: "259"
  top: "260"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_131"
  type: "Convolution"
  bottom: "260"
  top: "261"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_132"
  type: "Sigmoid"
  bottom: "261"
  top: "262"
}
layer {
  name: "Mul_133"
  type: "Eltwise"
  bottom: "261"
  bottom: "262"
  top: "263"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_134"
  type: "Convolution"
  bottom: "254"
  top: "264"
  convolution_param {
    num_output: 128
    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: "Sigmoid_135"
  type: "Sigmoid"
  bottom: "264"
  top: "265"
}
layer {
  name: "Mul_136"
  type: "Eltwise"
  bottom: "264"
  bottom: "265"
  top: "266"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_137"
  type: "Concat"
  bottom: "263"
  bottom: "266"
  top: "267"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_138"
  type: "Convolution"
  bottom: "267"
  top: "268"
  convolution_param {
    num_output: 256
    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: "Sigmoid_139"
  type: "Sigmoid"
  bottom: "268"
  top: "269"
}
layer {
  name: "Mul_140"
  type: "Eltwise"
  bottom: "268"
  bottom: "269"
  top: "270"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_141"
  type: "Convolution"
  bottom: "270"
  top: "271"
  convolution_param {
    num_output: 128
    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: "Sigmoid_142"
  type: "Sigmoid"
  bottom: "271"
  top: "272"
}
layer {
  name: "Mul_143"
  type: "Eltwise"
  bottom: "271"
  bottom: "272"
  top: "273"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Resize_144"
  type: "Upsample"
  bottom: "273"
  top: "277"
  upsample_param {
    height_scale: 2
    width_scale: 2
    mode: NEAREST
  }
}
layer {
  name: "Concat_145"
  type: "Concat"
  bottom: "277"
  bottom: "183"
  top: "278"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_146"
  type: "Convolution"
  bottom: "278"
  top: "279"
  convolution_param {
    num_output: 64
    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: "Sigmoid_147"
  type: "Sigmoid"
  bottom: "279"
  top: "280"
}
layer {
  name: "Mul_148"
  type: "Eltwise"
  bottom: "279"
  bottom: "280"
  top: "281"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_149"
  type: "Convolution"
  bottom: "281"
  top: "282"
  convolution_param {
    num_output: 64
    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: "Sigmoid_150"
  type: "Sigmoid"
  bottom: "282"
  top: "283"
}
layer {
  name: "Mul_151"
  type: "Eltwise"
  bottom: "282"
  bottom: "283"
  top: "284"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_152"
  type: "Convolution"
  bottom: "284"
  top: "285"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_153"
  type: "Sigmoid"
  bottom: "285"
  top: "286"
}
layer {
  name: "Mul_154"
  type: "Eltwise"
  bottom: "285"
  bottom: "286"
  top: "287"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_155"
  type: "Convolution"
  bottom: "278"
  top: "288"
  convolution_param {
    num_output: 64
    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: "Sigmoid_156"
  type: "Sigmoid"
  bottom: "288"
  top: "289"
}
layer {
  name: "Mul_157"
  type: "Eltwise"
  bottom: "288"
  bottom: "289"
  top: "290"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_158"
  type: "Concat"
  bottom: "287"
  bottom: "290"
  top: "291"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_159"
  type: "Convolution"
  bottom: "291"
  top: "292"
  convolution_param {
    num_output: 128
    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: "Sigmoid_160"
  type: "Sigmoid"
  bottom: "292"
  top: "293"
}
layer {
  name: "Mul_161"
  type: "Eltwise"
  bottom: "292"
  bottom: "293"
  top: "294"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_162"
  type: "Convolution"
  bottom: "294"
  top: "295"
  convolution_param {
    num_output: 128
    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: "Sigmoid_163"
  type: "Sigmoid"
  bottom: "295"
  top: "296"
}
layer {
  name: "Mul_164"
  type: "Eltwise"
  bottom: "295"
  bottom: "296"
  top: "297"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_165"
  type: "Concat"
  bottom: "297"
  bottom: "273"
  top: "298"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_166"
  type: "Convolution"
  bottom: "298"
  top: "299"
  convolution_param {
    num_output: 128
    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: "Sigmoid_167"
  type: "Sigmoid"
  bottom: "299"
  top: "300"
}
layer {
  name: "Mul_168"
  type: "Eltwise"
  bottom: "299"
  bottom: "300"
  top: "301"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_169"
  type: "Convolution"
  bottom: "301"
  top: "302"
  convolution_param {
    num_output: 128
    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: "Sigmoid_170"
  type: "Sigmoid"
  bottom: "302"
  top: "303"
}
layer {
  name: "Mul_171"
  type: "Eltwise"
  bottom: "302"
  bottom: "303"
  top: "304"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_172"
  type: "Convolution"
  bottom: "304"
  top: "305"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_173"
  type: "Sigmoid"
  bottom: "305"
  top: "306"
}
layer {
  name: "Mul_174"
  type: "Eltwise"
  bottom: "305"
  bottom: "306"
  top: "307"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_175"
  type: "Convolution"
  bottom: "298"
  top: "308"
  convolution_param {
    num_output: 128
    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: "Sigmoid_176"
  type: "Sigmoid"
  bottom: "308"
  top: "309"
}
layer {
  name: "Mul_177"
  type: "Eltwise"
  bottom: "308"
  bottom: "309"
  top: "310"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_178"
  type: "Concat"
  bottom: "307"
  bottom: "310"
  top: "311"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_179"
  type: "Convolution"
  bottom: "311"
  top: "312"
  convolution_param {
    num_output: 256
    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: "Sigmoid_180"
  type: "Sigmoid"
  bottom: "312"
  top: "313"
}
layer {
  name: "Mul_181"
  type: "Eltwise"
  bottom: "312"
  bottom: "313"
  top: "314"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_182"
  type: "Convolution"
  bottom: "314"
  top: "315"
  convolution_param {
    num_output: 256
    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: "Sigmoid_183"
  type: "Sigmoid"
  bottom: "315"
  top: "316"
}
layer {
  name: "Mul_184"
  type: "Eltwise"
  bottom: "315"
  bottom: "316"
  top: "317"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_185"
  type: "Concat"
  bottom: "317"
  bottom: "249"
  top: "318"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_186"
  type: "Convolution"
  bottom: "318"
  top: "319"
  convolution_param {
    num_output: 256
    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: "Sigmoid_187"
  type: "Sigmoid"
  bottom: "319"
  top: "320"
}
layer {
  name: "Mul_188"
  type: "Eltwise"
  bottom: "319"
  bottom: "320"
  top: "321"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_189"
  type: "Convolution"
  bottom: "321"
  top: "322"
  convolution_param {
    num_output: 256
    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: "Sigmoid_190"
  type: "Sigmoid"
  bottom: "322"
  top: "323"
}
layer {
  name: "Mul_191"
  type: "Eltwise"
  bottom: "322"
  bottom: "323"
  top: "324"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_192"
  type: "Convolution"
  bottom: "324"
  top: "325"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Sigmoid_193"
  type: "Sigmoid"
  bottom: "325"
  top: "326"
}
layer {
  name: "Mul_194"
  type: "Eltwise"
  bottom: "325"
  bottom: "326"
  top: "327"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_195"
  type: "Convolution"
  bottom: "318"
  top: "328"
  convolution_param {
    num_output: 256
    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: "Sigmoid_196"
  type: "Sigmoid"
  bottom: "328"
  top: "329"
}
layer {
  name: "Mul_197"
  type: "Eltwise"
  bottom: "328"
  bottom: "329"
  top: "330"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Concat_198"
  type: "Concat"
  bottom: "327"
  bottom: "330"
  top: "331"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_199"
  type: "Convolution"
  bottom: "331"
  top: "332"
  convolution_param {
    num_output: 512
    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: "Sigmoid_200"
  type: "Sigmoid"
  bottom: "332"
  top: "333"
}
layer {
  name: "Mul_201"
  type: "Eltwise"
  bottom: "332"
  bottom: "333"
  top: "334"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "Conv_202"
  type: "Convolution"
  bottom: "294"
  top: "335"
  convolution_param {
    num_output: 18
    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: "Reshape_216"
  type: "Reshape"
  bottom: "335"
  top: "353"
  reshape_param {
    shape {
      dim: 1
      dim: 3
      dim: 6
      dim: 80
      dim: 80
    }
  }
}
layer {
  name: "Transpose_217"
  type: "Permute"
  bottom: "353"
  top: "output"
  permute_param {
    order: 0
    order: 1
    order: 3
    order: 4
    order: 2
  }
}
layer {
  name: "Conv_218"
  type: "Convolution"
  bottom: "314"
  top: "355"
  convolution_param {
    num_output: 18
    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: "Reshape_232"
  type: "Reshape"
  bottom: "355"
  top: "373"
  reshape_param {
    shape {
      dim: 1
      dim: 3
      dim: 6
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Transpose_233"
  type: "Permute"
  bottom: "373"
  top: "374"
  permute_param {
    order: 0
    order: 1
    order: 3
    order: 4
    order: 2
  }
}
layer {
  name: "Conv_234"
  type: "Convolution"
  bottom: "334"
  top: "375"
  convolution_param {
    num_output: 18
    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: "Reshape_248"
  type: "Reshape"
  bottom: "375"
  top: "393"
  reshape_param {
    shape {
      dim: 1
      dim: 3
      dim: 6
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Transpose_249"
  type: "Permute"
  bottom: "393"
  top: "394"
  permute_param {
    order: 0
    order: 1
    order: 3
    order: 4
    order: 2
  }
}