layer {
	name: 'data'
	type: 'Input'
	top: 'data'
	input_param { shape {dim: 1 dim: 3 dim: 120 dim: 120}}
}
layer {
    bottom: "data"
    top: "conv1"
    name: "conv1"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 7
        pad: 3
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "conv1"
    top: "conv1"
    name: "bn_conv1"
    type: "BatchNorm"
  batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}    
}
layer {
    bottom: "conv1"
    top: "conv1"
    name: "bn_conv1"
    type: "BatchNorm"
  batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}    
}

layer {
    bottom: "conv1"
    top: "conv1"
    name: "scale_conv1"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "conv1"
    top: "conv1"
    name: "conv1_relu"
    type: "ReLU"
}

layer {
    bottom: "conv1"
    top: "pool1"
    name: "pool1"
    type: "Pooling"
    pooling_param {
        kernel_size: 3
        stride: 2
        pool: MAX
    }
}

layer {
    bottom: "pool1"
    top: "res2a_branch1"
    name: "res2a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        pad: 0
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch1"
    top: "res2a_branch1"
    name: "bn2a_branch1"
    type: "BatchNorm"
  batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}    
}


layer {
    bottom: "res2a_branch1"
    top: "res2a_branch1"
    name: "bn2a_branch1"
    type: "BatchNorm"
  batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}    
}

layer {
    bottom: "res2a_branch1"
    top: "res2a_branch1"
    name: "scale2a_branch1"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "pool1"
    top: "res2a_branch2a"
    name: "res2a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2a"
    name: "bn2a_branch2a"
    type: "BatchNorm"
   batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2a"
    name: "bn2a_branch2a"
    type: "BatchNorm"
   batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2a"
    name: "scale2a_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2a"
    name: "res2a_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2b"
    name: "res2a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch2b"
    top: "res2a_branch2b"
    name: "bn2a_branch2b"
    type: "BatchNorm"
   batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}

layer {
    bottom: "res2a_branch2b"
    top: "res2a_branch2b"
    name: "bn2a_branch2b"
    type: "BatchNorm"
   batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
    
}

layer {
    bottom: "res2a_branch2b"
    top: "res2a_branch2b"
    name: "scale2a_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res2a_branch1"
    bottom: "res2a_branch2b"
    top: "res2a"
    name: "res2a"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res2a"
    top: "res2a"
    name: "res2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res2a"
    top: "res2b_branch2a"
    name: "res2b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2a"
    name: "bn2b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2a"
    name: "bn2b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2a"
    name: "scale2b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2a"
    name: "res2b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2b"
    name: "res2b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2b_branch2b"
    top: "res2b_branch2b"
    name: "bn2b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
    
}

layer {
    bottom: "res2b_branch2b"
    top: "res2b_branch2b"
    name: "bn2b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
    
}

layer {
    bottom: "res2b_branch2b"
    top: "res2b_branch2b"
    name: "scale2b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res2a"
    bottom: "res2b_branch2b"
    top: "res2b"
    name: "res2b"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res2b"
    top: "res2b"
    name: "res2b_relu"
    type: "ReLU"
}

layer {
    bottom: "res2b"
    top: "res3a_branch1"
    name: "res3a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res3a_branch1"
    top: "res3a_branch1"
    name: "bn3a_branch1"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
    
}
layer {
    bottom: "res3a_branch1"
    top: "res3a_branch1"
    name: "bn3a_branch1"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
    
}

layer {
    bottom: "res3a_branch1"
    top: "res3a_branch1"
    name: "scale3a_branch1"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res2b"
    top: "res3a_branch2a"
    name: "res3a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2a"
    name: "bn3a_branch2a"
    type: "BatchNorm"
     batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2a"
    name: "bn3a_branch2a"
    type: "BatchNorm"
     batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2a"
    name: "scale3a_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2a"
    name: "res3a_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2b"
    name: "res3a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res3a_branch2b"
    top: "res3a_branch2b"
    name: "bn3a_branch2b"
    type: "BatchNorm"
      batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res3a_branch2b"
    top: "res3a_branch2b"
    name: "bn3a_branch2b"
    type: "BatchNorm"
      batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res3a_branch2b"
    top: "res3a_branch2b"
    name: "scale3a_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3a_branch1"
    bottom: "res3a_branch2b"
    top: "res3a"
    name: "res3a"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res3a"
    top: "res3a"
    name: "res3a_relu"
    type: "ReLU"
}

layer {
    bottom: "res3a"
    top: "res3b_branch2a"
    name: "res3b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "bn3b_branch2a"
    type: "BatchNorm"
       batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "bn3b_branch2a"
    type: "BatchNorm"
       batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "scale3b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "res3b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2b"
    name: "res3b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "bn3b_branch2b"
    type: "BatchNorm"
        batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "bn3b_branch2b"
    type: "BatchNorm"
        batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "scale3b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3a"
    bottom: "res3b_branch2b"
    top: "res3b"
    name: "res3b"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res3b"
    top: "res3b"
    name: "res3b_relu"
    type: "ReLU"
}

layer {
    bottom: "res3b"
    top: "res4a_branch1"
    name: "res4a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch1"
    top: "res4a_branch1"
    name: "bn4a_branch1"
    type: "BatchNorm"
         batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res4a_branch1"
    top: "res4a_branch1"
    name: "bn4a_branch1"
    type: "BatchNorm"
         batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res4a_branch1"
    top: "res4a_branch1"
    name: "scale4a_branch1"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3b"
    top: "res4a_branch2a"
    name: "res4a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2a"
    name: "bn4a_branch2a"
    type: "BatchNorm"
          batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2a"
    name: "bn4a_branch2a"
    type: "BatchNorm"
          batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2a"
    name: "scale4a_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2a"
    name: "res4a_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2b"
    name: "res4a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch2b"
    top: "res4a_branch2b"
    name: "bn4a_branch2b"
    type: "BatchNorm"
           batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res4a_branch2b"
    top: "res4a_branch2b"
    name: "bn4a_branch2b"
    type: "BatchNorm"
           batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res4a_branch2b"
    top: "res4a_branch2b"
    name: "scale4a_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4a_branch1"
    bottom: "res4a_branch2b"
    top: "res4a"
    name: "res4a"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res4a"
    top: "res4a"
    name: "res4a_relu"
    type: "ReLU"
}

layer {
    bottom: "res4a"
    top: "res4b_branch2a"
    name: "res4b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "bn4b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "bn4b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "scale4b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "res4b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2b"
    name: "res4b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "bn4b_branch2b"
    type: "BatchNorm"
     batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "bn4b_branch2b"
    type: "BatchNorm"
     batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "scale4b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4a"
    bottom: "res4b_branch2b"
    top: "res4b"
    name: "res4b"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res4b"
    top: "res4b"
    name: "res4b_relu"
    type: "ReLU"
}

layer {
    bottom: "res4b"
    top: "res5a_branch1"
    name: "res5a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 512
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch1"
    top: "res5a_branch1"
    name: "bn5a_branch1"
    type: "BatchNorm"
      batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res5a_branch1"
    top: "res5a_branch1"
    name: "bn5a_branch1"
    type: "BatchNorm"
      batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res5a_branch1"
    top: "res5a_branch1"
    name: "scale5a_branch1"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4b"
    top: "res5a_branch2a"
    name: "res5a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 512
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2a"
    name: "bn5a_branch2a"
    type: "BatchNorm"
       batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2a"
    name: "bn5a_branch2a"
    type: "BatchNorm"
       batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2a"
    name: "scale5a_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2a"
    name: "res5a_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2b"
    name: "res5a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 512
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch2b"
    top: "res5a_branch2b"
    name: "bn5a_branch2b"
    type: "BatchNorm"
        batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res5a_branch2b"
    top: "res5a_branch2b"
    name: "bn5a_branch2b"
    type: "BatchNorm"
        batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res5a_branch2b"
    top: "res5a_branch2b"
    name: "scale5a_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res5a_branch1"
    bottom: "res5a_branch2b"
    top: "res5a"
    name: "res5a"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res5a"
    top: "res5a"
    name: "res5a_relu"
    type: "ReLU"
}

layer {
    bottom: "res5a"
    top: "res5b_branch2a"
    name: "res5b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 512
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2a"
    name: "bn5b_branch2a"
    type: "BatchNorm"
         batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2a"
    name: "bn5b_branch2a"
    type: "BatchNorm"
         batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2a"
    name: "scale5b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2a"
    name: "res5b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2b"
    name: "res5b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 512
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5b_branch2b"
    top: "res5b_branch2b"
    name: "bn5b_branch2b"
    type: "BatchNorm"
          batch_norm_param {
		use_global_stats: false
	}
	include {
		 phase: TRAIN
	}   
}
layer {
    bottom: "res5b_branch2b"
    top: "res5b_branch2b"
    name: "bn5b_branch2b"
    type: "BatchNorm"
          batch_norm_param {
		use_global_stats: true
	}
	include {
		 phase: TEST
	}   
}

layer {
    bottom: "res5b_branch2b"
    top: "res5b_branch2b"
    name: "scale5b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res5a"
    bottom: "res5b_branch2b"
    top: "res5b"
    name: "res5b"
    type: "Eltwise"
    eltwise_param {
        operation: SUM
    }
}

layer {
    bottom: "res5b"
    top: "res5b"
    name: "res5b_relu"
    type: "ReLU"
}

layer {
    bottom: "res5b"
    top: "pool5"
    name: "pool5"
    type: "Pooling"
    pooling_param {
        kernel_size: 4
        stride: 1
        pool: AVE
    }
}
################# gender #################
layer {
  name: "InnerProduct2"
  type: "InnerProduct"
  bottom: "res4b"
  top: "InnerProduct2"
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "BatchNorm7"
  type: "BatchNorm"
  bottom: "InnerProduct2"
  top: "InnerProduct2"
  batch_norm_param {
    use_global_stats: false
  }
	include {
     phase: TRAIN
	}
}
layer {
  name: "BatchNorm7"
  type: "BatchNorm"
  bottom: "InnerProduct2"
  top: "InnerProduct2"
  batch_norm_param {
    use_global_stats: true
  }
	include {
     phase: TEST
	}
}
layer {
  name: "Scale7"
  type: "Scale"
  bottom: "InnerProduct2"
  top: "InnerProduct2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU7"
  type: "ReLU"
  bottom: "InnerProduct2"
  top: "InnerProduct2"
}

############## age ####################

layer {
  name: "InnerProduct1"
  type: "InnerProduct"
  bottom: "pool5"
  top: "InnerProduct1"
  inner_product_param {
    num_output: 512
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "BatchNorm85"
  type: "BatchNorm"
  bottom: "InnerProduct1"
  top: "InnerProduct1"
  batch_norm_param {
    use_global_stats: false
  }
	include {
     phase: TRAIN
	}
}
layer {
  name: "BatchNorm85"
  type: "BatchNorm"
  bottom: "InnerProduct1"
  top: "InnerProduct1"
  batch_norm_param {
    use_global_stats: true
  }
	include {
     phase: TEST
	}
}
layer {
  name: "Scale85"
  type: "Scale"
  bottom: "InnerProduct1"
  top: "InnerProduct1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU80"
  type: "ReLU"
  bottom: "InnerProduct1"
  top: "InnerProduct1"
}



layer {
    bottom: "InnerProduct1"
    top: "age"
    name: "age"
    type: "InnerProduct"
    param {
        lr_mult: 1
        decay_mult: 1
    }
    param {
        lr_mult: 2
        decay_mult: 1
    }
    inner_product_param {
        num_output: 95
        weight_filler {
            type: "xavier"
        }
        bias_filler {
            type: "constant"
            value: 0
        }
    }
}
############### expression #################
layer {
  name: "InnerProduct3"
  type: "InnerProduct"
  bottom: "pool5"
  top: "InnerProduct3"
  inner_product_param {
    num_output: 7
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "BatchNorm3"
  type: "BatchNorm"
  bottom: "InnerProduct3"
  top: "InnerProduct3"
  batch_norm_param {
    use_global_stats: false
  }
	include {
     phase: TRAIN
	}
}
layer {
  name: "BatchNorm3"
  type: "BatchNorm"
  bottom: "InnerProduct3"
  top: "InnerProduct3"
  batch_norm_param {
    use_global_stats: true
  }
	include {
     phase: TEST
	}
}
layer {
  name: "Scale3"
  type: "Scale"
  bottom: "InnerProduct3"
  top: "InnerProduct3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU3"
  type: "ReLU"
  bottom: "InnerProduct3"
  top: "InnerProduct3"
}

############### glasses #################
layer {
  name: "InnerProduct_glasses"
  type: "InnerProduct"
  bottom: "pool5"
  top: "InnerProduct_glasses"
  inner_product_param {
    num_output: 3
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "BatchNorm_glasses"
  type: "BatchNorm"
  bottom: "InnerProduct_glasses"
  top: "InnerProduct_glasses"
  batch_norm_param {
    use_global_stats: false
  }
	include {
     phase: TRAIN
	}
}
layer {
  name: "BatchNorm_glasses"
  type: "BatchNorm"
  bottom: "InnerProduct_glasses"
  top: "InnerProduct_glasses"
  batch_norm_param {
    use_global_stats: true
  }
	include {
     phase: TEST
	}
}
layer {
  name: "Scale_glasses"
  type: "Scale"
  bottom: "InnerProduct_glasses"
  top: "InnerProduct_glasses"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU_glasses"
  type: "ReLU"
  bottom: "InnerProduct_glasses"
  top: "InnerProduct_glasses"
}

############### beard #################
layer {
  name: "InnerProduct_beard"
  type: "InnerProduct"
  bottom: "pool5"
  top: "InnerProduct_beard"
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "BatchNorm_beard"
  type: "BatchNorm"
  bottom: "InnerProduct_beard"
  top: "InnerProduct_beard"
  batch_norm_param {
    use_global_stats: false
  }
	include {
     phase: TRAIN
	}
}
layer {
  name: "BatchNorm_beard"
  type: "BatchNorm"
  bottom: "InnerProduct_beard"
  top: "InnerProduct_beard"
  batch_norm_param {
    use_global_stats: true
  }
	include {
     phase: TEST
	}
}
layer {
  name: "Scale_beard"
  type: "Scale"
  bottom: "InnerProduct_beard"
  top: "InnerProduct_beard"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "ReLU_beard"
  type: "ReLU"
  bottom: "InnerProduct_beard"
  top: "InnerProduct_beard"
}