layer {
  name: "input"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 1
      dim: 32
      dim: 512
    }
  }
}
layer {
	name: "power-data"
	type: "Power"
	bottom: "data"
	top: "0"
	power_param {
		scale: 0.0039215686274
		shift: -0.67
	}
}
layer {
  name: "326_Conv"
  type: "Convolution"
  bottom: "0"
  top: "326"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "327_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "326"
  top: "327"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "327_BatchNormalization"
  type: "Scale"
  bottom: "327"
  top: "327"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "328_Relu"
  type: "ReLU"
  bottom: "327"
  top: "328"
}
layer {
  name: "329_Conv"
  type: "Convolution"
  bottom: "328"
  top: "329"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 32
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "330_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "329"
  top: "330"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "330_BatchNormalization"
  type: "Scale"
  bottom: "330"
  top: "330"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "331_Relu"
  type: "ReLU"
  bottom: "330"
  top: "331"
}
layer {
  name: "332_Conv"
  type: "Convolution"
  bottom: "331"
  top: "332"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "333_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "332"
  top: "333"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "333_BatchNormalization"
  type: "Scale"
  bottom: "333"
  top: "333"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "334_Conv"
  type: "Convolution"
  bottom: "333"
  top: "334"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "335_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "334"
  top: "335"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "335_BatchNormalization"
  type: "Scale"
  bottom: "335"
  top: "335"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "336_Relu"
  type: "ReLU"
  bottom: "335"
  top: "336"
}
layer {
  name: "337_Conv"
  type: "Convolution"
  bottom: "336"
  top: "337"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 96
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "338_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "337"
  top: "338"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "338_BatchNormalization"
  type: "Scale"
  bottom: "338"
  top: "338"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "339_Relu"
  type: "ReLU"
  bottom: "338"
  top: "339"
}
layer {
  name: "340_Conv"
  type: "Convolution"
  bottom: "339"
  top: "340"
  convolution_param {
    num_output: 24
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "341_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "340"
  top: "341"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "341_BatchNormalization"
  type: "Scale"
  bottom: "341"
  top: "341"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "342_Conv"
  type: "Convolution"
  bottom: "341"
  top: "342"
  convolution_param {
    num_output: 72
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "343_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "342"
  top: "343"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "343_BatchNormalization"
  type: "Scale"
  bottom: "343"
  top: "343"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "344_Relu"
  type: "ReLU"
  bottom: "343"
  top: "344"
}
layer {
  name: "345_Conv"
  type: "Convolution"
  bottom: "344"
  top: "345"
  convolution_param {
    num_output: 72
    bias_term: false
    group: 72
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "346_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "345"
  top: "346"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "346_BatchNormalization"
  type: "Scale"
  bottom: "346"
  top: "346"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "347_Relu"
  type: "ReLU"
  bottom: "346"
  top: "347"
}
layer {
  name: "348_Conv"
  type: "Convolution"
  bottom: "347"
  top: "348"
  convolution_param {
    num_output: 24
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "349_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "348"
  top: "349"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "349_BatchNormalization"
  type: "Scale"
  bottom: "349"
  top: "349"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "350_Add"
  type: "Eltwise"
  bottom: "349"
  bottom: "341"
  top: "350"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "351_Conv"
  type: "Convolution"
  bottom: "350"
  top: "351"
  convolution_param {
    num_output: 72
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "352_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "351"
  top: "352"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "352_BatchNormalization"
  type: "Scale"
  bottom: "352"
  top: "352"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "353_Relu"
  type: "ReLU"
  bottom: "352"
  top: "353"
}
layer {
  name: "354_Conv"
  type: "Convolution"
  bottom: "353"
  top: "354"
  convolution_param {
    num_output: 72
    bias_term: false
    group: 72
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "355_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "354"
  top: "355"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "355_BatchNormalization"
  type: "Scale"
  bottom: "355"
  top: "355"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "356_Relu"
  type: "ReLU"
  bottom: "355"
  top: "356"
}
layer {
  name: "357_Conv"
  type: "Convolution"
  bottom: "356"
  top: "357"
  convolution_param {
    num_output: 24
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "358_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "357"
  top: "358"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "358_BatchNormalization"
  type: "Scale"
  bottom: "358"
  top: "358"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "359_Add"
  type: "Eltwise"
  bottom: "358"
  bottom: "350"
  top: "359"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "360_Conv"
  type: "Convolution"
  bottom: "359"
  top: "360"
  convolution_param {
    num_output: 72
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "361_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "360"
  top: "361"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "361_BatchNormalization"
  type: "Scale"
  bottom: "361"
  top: "361"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "362_Relu"
  type: "ReLU"
  bottom: "361"
  top: "362"
}
layer {
  name: "363_Conv"
  type: "Convolution"
  bottom: "362"
  top: "363"
  convolution_param {
    num_output: 72
    bias_term: false
    group: 72
    pad_h: 2
    pad_w: 2
    kernel_h: 5
    kernel_w: 5
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "364_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "363"
  top: "364"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "364_BatchNormalization"
  type: "Scale"
  bottom: "364"
  top: "364"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "365_Relu"
  type: "ReLU"
  bottom: "364"
  top: "365"
}
layer {
  name: "366_Conv"
  type: "Convolution"
  bottom: "365"
  top: "366"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "367_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "366"
  top: "367"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "367_BatchNormalization"
  type: "Scale"
  bottom: "367"
  top: "367"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "368_Conv"
  type: "Convolution"
  bottom: "367"
  top: "368"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "369_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "368"
  top: "369"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "369_BatchNormalization"
  type: "Scale"
  bottom: "369"
  top: "369"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "370_Relu"
  type: "ReLU"
  bottom: "369"
  top: "370"
}
layer {
  name: "371_Conv"
  type: "Convolution"
  bottom: "370"
  top: "371"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 96
    pad_h: 2
    pad_w: 2
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "372_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "371"
  top: "372"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "372_BatchNormalization"
  type: "Scale"
  bottom: "372"
  top: "372"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "373_Relu"
  type: "ReLU"
  bottom: "372"
  top: "373"
}
layer {
  name: "374_Conv"
  type: "Convolution"
  bottom: "373"
  top: "374"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "375_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "374"
  top: "375"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "375_BatchNormalization"
  type: "Scale"
  bottom: "375"
  top: "375"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "376_Add"
  type: "Eltwise"
  bottom: "375"
  bottom: "367"
  top: "376"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "377_Conv"
  type: "Convolution"
  bottom: "376"
  top: "377"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "378_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "377"
  top: "378"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "378_BatchNormalization"
  type: "Scale"
  bottom: "378"
  top: "378"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "379_Relu"
  type: "ReLU"
  bottom: "378"
  top: "379"
}
layer {
  name: "380_Conv"
  type: "Convolution"
  bottom: "379"
  top: "380"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 96
    pad_h: 2
    pad_w: 2
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "381_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "380"
  top: "381"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "381_BatchNormalization"
  type: "Scale"
  bottom: "381"
  top: "381"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "382_Relu"
  type: "ReLU"
  bottom: "381"
  top: "382"
}
layer {
  name: "383_Conv"
  type: "Convolution"
  bottom: "382"
  top: "383"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "384_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "383"
  top: "384"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "384_BatchNormalization"
  type: "Scale"
  bottom: "384"
  top: "384"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "385_Add"
  type: "Eltwise"
  bottom: "384"
  bottom: "376"
  top: "385"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "386_Conv"
  type: "Convolution"
  bottom: "385"
  top: "386"
  convolution_param {
    num_output: 192
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "387_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "386"
  top: "387"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "387_BatchNormalization"
  type: "Scale"
  bottom: "387"
  top: "387"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "388_Relu"
  type: "ReLU"
  bottom: "387"
  top: "388"
}
layer {
  name: "389_Conv"
  type: "Convolution"
  bottom: "388"
  top: "389"
  convolution_param {
    num_output: 192
    bias_term: false
    group: 192
    pad_h: 2
    pad_w: 2
    kernel_h: 5
    kernel_w: 5
    stride_h: 2
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "390_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "389"
  top: "390"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "390_BatchNormalization"
  type: "Scale"
  bottom: "390"
  top: "390"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "391_Relu"
  type: "ReLU"
  bottom: "390"
  top: "391"
}
layer {
  name: "392_Conv"
  type: "Convolution"
  bottom: "391"
  top: "392"
  convolution_param {
    num_output: 48
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "393_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "392"
  top: "393"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "393_BatchNormalization"
  type: "Scale"
  bottom: "393"
  top: "393"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "394_Conv"
  type: "Convolution"
  bottom: "393"
  top: "394"
  convolution_param {
    num_output: 288
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "395_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "394"
  top: "395"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "395_BatchNormalization"
  type: "Scale"
  bottom: "395"
  top: "395"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "396_Relu"
  type: "ReLU"
  bottom: "395"
  top: "396"
}
layer {
  name: "397_Conv"
  type: "Convolution"
  bottom: "396"
  top: "397"
  convolution_param {
    num_output: 288
    bias_term: false
    group: 288
    pad_h: 2
    pad_w: 2
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "398_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "397"
  top: "398"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "398_BatchNormalization"
  type: "Scale"
  bottom: "398"
  top: "398"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "399_Relu"
  type: "ReLU"
  bottom: "398"
  top: "399"
}
layer {
  name: "400_Conv"
  type: "Convolution"
  bottom: "399"
  top: "400"
  convolution_param {
    num_output: 48
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "401_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "400"
  top: "401"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "401_BatchNormalization"
  type: "Scale"
  bottom: "401"
  top: "401"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "402_Add"
  type: "Eltwise"
  bottom: "401"
  bottom: "393"
  top: "402"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "403_Conv"
  type: "Convolution"
  bottom: "402"
  top: "403"
  convolution_param {
    num_output: 288
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "404_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "403"
  top: "404"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "404_BatchNormalization"
  type: "Scale"
  bottom: "404"
  top: "404"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "405_Relu"
  type: "ReLU"
  bottom: "404"
  top: "405"
}
layer {
  name: "406_Conv"
  type: "Convolution"
  bottom: "405"
  top: "406"
  convolution_param {
    num_output: 288
    bias_term: false
    group: 288
    pad_h: 2
    pad_w: 2
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "407_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "406"
  top: "407"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "407_BatchNormalization"
  type: "Scale"
  bottom: "407"
  top: "407"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "408_Relu"
  type: "ReLU"
  bottom: "407"
  top: "408"
}
layer {
  name: "409_Conv"
  type: "Convolution"
  bottom: "408"
  top: "409"
  convolution_param {
    num_output: 48
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "410_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "409"
  top: "410"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "410_BatchNormalization"
  type: "Scale"
  bottom: "410"
  top: "410"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "411_Add"
  type: "Eltwise"
  bottom: "410"
  bottom: "402"
  top: "411"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "412_Conv"
  type: "Convolution"
  bottom: "411"
  top: "412"
  convolution_param {
    num_output: 288
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "413_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "412"
  top: "413"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "413_BatchNormalization"
  type: "Scale"
  bottom: "413"
  top: "413"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "414_Relu"
  type: "ReLU"
  bottom: "413"
  top: "414"
}
layer {
  name: "415_Conv"
  type: "Convolution"
  bottom: "414"
  top: "415"
  convolution_param {
    num_output: 288
    bias_term: false
    group: 288
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "416_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "415"
  top: "416"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "416_BatchNormalization"
  type: "Scale"
  bottom: "416"
  top: "416"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "417_Relu"
  type: "ReLU"
  bottom: "416"
  top: "417"
}
layer {
  name: "418_Conv"
  type: "Convolution"
  bottom: "417"
  top: "418"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "419_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "418"
  top: "419"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "419_BatchNormalization"
  type: "Scale"
  bottom: "419"
  top: "419"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "420_Conv"
  type: "Convolution"
  bottom: "419"
  top: "420"
  convolution_param {
    num_output: 576
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "421_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "420"
  top: "421"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "421_BatchNormalization"
  type: "Scale"
  bottom: "421"
  top: "421"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "422_Relu"
  type: "ReLU"
  bottom: "421"
  top: "422"
}
layer {
  name: "423_Conv"
  type: "Convolution"
  bottom: "422"
  top: "423"
  convolution_param {
    num_output: 576
    bias_term: false
    group: 576
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "424_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "423"
  top: "424"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "424_BatchNormalization"
  type: "Scale"
  bottom: "424"
  top: "424"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "425_Relu"
  type: "ReLU"
  bottom: "424"
  top: "425"
}
layer {
  name: "426_Conv"
  type: "Convolution"
  bottom: "425"
  top: "426"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "427_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "426"
  top: "427"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "427_BatchNormalization"
  type: "Scale"
  bottom: "427"
  top: "427"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "428_Add"
  type: "Eltwise"
  bottom: "427"
  bottom: "419"
  top: "428"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "429_Conv"
  type: "Convolution"
  bottom: "428"
  top: "429"
  convolution_param {
    num_output: 384
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "430_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "429"
  top: "430"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "430_BatchNormalization"
  type: "Scale"
  bottom: "430"
  top: "430"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "431_Relu"
  type: "ReLU"
  bottom: "430"
  top: "431"
}
layer {
  name: "432_Conv"
  type: "Convolution"
  bottom: "431"
  top: "432"
  convolution_param {
    num_output: 384
    bias_term: false
    group: 384
    pad_h: 0
    pad_w: 2
    kernel_h: 1
    kernel_w: 5
    stride_h: 2
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "433_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "432"
  top: "433"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "433_BatchNormalization"
  type: "Scale"
  bottom: "433"
  top: "433"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "434_Relu"
  type: "ReLU"
  bottom: "433"
  top: "434"
}
layer {
  name: "435_Conv"
  type: "Convolution"
  bottom: "434"
  top: "435"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "436_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "435"
  top: "436"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "436_BatchNormalization"
  type: "Scale"
  bottom: "436"
  top: "436"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "437_Conv"
  type: "Convolution"
  bottom: "436"
  top: "437"
  convolution_param {
    num_output: 512
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "438_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "437"
  top: "438"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "438_BatchNormalization"
  type: "Scale"
  bottom: "438"
  top: "438"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "439_Relu"
  type: "ReLU"
  bottom: "438"
  top: "439"
}
layer {
  name: "440_Conv"
  type: "Convolution"
  bottom: "439"
  top: "440"
  convolution_param {
    num_output: 512
    bias_term: false
    group: 512
    pad_h: 0
    pad_w: 2
    kernel_h: 1
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "441_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "440"
  top: "441"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "441_BatchNormalization"
  type: "Scale"
  bottom: "441"
  top: "441"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "442_Relu"
  type: "ReLU"
  bottom: "441"
  top: "442"
}
layer {
  name: "443_Conv"
  type: "Convolution"
  bottom: "442"
  top: "443"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "444_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "443"
  top: "444"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "444_BatchNormalization"
  type: "Scale"
  bottom: "444"
  top: "444"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "445_Add"
  type: "Eltwise"
  bottom: "444"
  bottom: "436"
  top: "445"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "446_Conv"
  type: "Convolution"
  bottom: "445"
  top: "446"
  convolution_param {
    num_output: 384
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "447_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "446"
  top: "447"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "447_BatchNormalization"
  type: "Scale"
  bottom: "447"
  top: "447"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "448_Relu"
  type: "ReLU"
  bottom: "447"
  top: "448"
}
layer {
  name: "449_Conv"
  type: "Convolution"
  bottom: "448"
  top: "449"
  convolution_param {
    num_output: 384
    bias_term: false
    group: 384
    pad_h: 0
    pad_w: 1
    kernel_h: 1
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "450_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "449"
  top: "450"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "450_BatchNormalization"
  type: "Scale"
  bottom: "450"
  top: "450"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "451_Relu"
  type: "ReLU"
  bottom: "450"
  top: "451"
}
layer {
  name: "452_Conv"
  type: "Convolution"
  bottom: "451"
  top: "452"
  convolution_param {
    num_output: 152
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "453_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "452"
  top: "453"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "453_BatchNormalization"
  type: "Scale"
  bottom: "453"
  top: "453"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "454_Conv"
  type: "Convolution"
  bottom: "453"
  top: "454"
  convolution_param {
    num_output: 96
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "455_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "454"
  top: "455"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "455_BatchNormalization"
  type: "Scale"
  bottom: "455"
  top: "455"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "456_Relu"
  type: "ReLU"
  bottom: "455"
  top: "456"
}
layer {
  name: "457_Conv"
  type: "Convolution"
  bottom: "456"
  top: "457"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 2
    kernel_h: 1
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "458_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "457"
  top: "458"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "458_BatchNormalization"
  type: "Scale"
  bottom: "458"
  top: "458"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "459_Relu"
  type: "ReLU"
  bottom: "458"
  top: "459"
}
layer {
  name: "460_Conv"
  type: "Convolution"
  bottom: "456"
  top: "460"
  convolution_param {
    num_output: 96
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 2
    kernel_h: 1
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "461_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "460"
  top: "461"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "461_BatchNormalization"
  type: "Scale"
  bottom: "461"
  top: "461"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "462_Relu"
  type: "ReLU"
  bottom: "461"
  top: "462"
}
layer {
  name: "463_Sigmoid"
  type: "Sigmoid"
  bottom: "462"
  top: "463"
}
layer {
  name: "464_Mul"
  type: "Eltwise"
  bottom: "459"
  bottom: "463"
  top: "464"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "465_Add"
  type: "Eltwise"
  bottom: "456"
  bottom: "464"
  top: "465"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "466_Conv"
  type: "Convolution"
  bottom: "465"
  top: "466"
  convolution_param {
    num_output: 10
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "467_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "466"
  top: "467"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "467_BatchNormalization"
  type: "Scale"
  bottom: "467"
  top: "467"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "468_Conv"
  type: "Convolution"
  bottom: "465"
  top: "468"
  convolution_param {
    num_output: 84
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "469_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "468"
  top: "469"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "469_BatchNormalization"
  type: "Scale"
  bottom: "469"
  top: "469"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "470_Conv"
  type: "Convolution"
  bottom: "465"
  top: "470"
  convolution_param {
    num_output: 2275
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "471_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "470"
  top: "471"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "471_BatchNormalization"
  type: "Scale"
  bottom: "471"
  top: "471"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "472_Conv"
  type: "Convolution"
  bottom: "465"
  top: "472"
  convolution_param {
    num_output: 1769
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "473_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "472"
  top: "473"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "473_BatchNormalization"
  type: "Scale"
  bottom: "473"
  top: "473"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "474_Conv"
  type: "Convolution"
  bottom: "465"
  top: "474"
  convolution_param {
    num_output: 2469
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "475_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "474"
  top: "475"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "475_BatchNormalization"
  type: "Scale"
  bottom: "475"
  top: "475"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "476_Conv"
  type: "Convolution"
  bottom: "465"
  top: "476"
  convolution_param {
    num_output: 1592
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "477_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "476"
  top: "477"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "477_BatchNormalization"
  type: "Scale"
  bottom: "477"
  top: "477"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "478_Conv"
  type: "Convolution"
  bottom: "465"
  top: "478"
  convolution_param {
    num_output: 226
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "479_BatchNormalization_bn"
  type: "BatchNorm"
  bottom: "478"
  top: "479"
  batch_norm_param {
    use_global_stats: true
    eps: 9.99999974738e-06
  }
}
layer {
  name: "479_BatchNormalization"
  type: "Scale"
  bottom: "479"
  top: "479"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "480_Concat"
  type: "Concat"
  bottom: "467"
  bottom: "469"
  bottom: "471"
  bottom: "473"
  bottom: "475"
  bottom: "477"
  bottom: "479"
  top: "480"
  concat_param {
    axis: 1
  }
}
layer {
  name:"ArgMax"
  type: "ArgMax"
  bottom: "480"
  top: "ArgMax"
  argmax_param {
    axis: 1
  }
}