lightencnn.prototxt

name: "DeepFace_set003_net"
input: "data"
input_dim: 1
input_dim: 1
input_dim: 128
input_dim: 128

layer{
  name: "conv1"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
	num_output: 96
	kernel_size: 5
	stride: 1
	pad: 2
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}
  }
  bottom: "data"
  top: "conv1"
}

layer{
  name: "slice1"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv1"
  top: "slice1_1"
  top: "slice1_2"
}
layer{
  name: "etlwise1"
  type: "Eltwise"
  bottom: "slice1_1"
  bottom: "slice1_2"
  top: "eltwise1"
  eltwise_param {
	operation: MAX
  }
}
layer{
  name: "pool1"
  type: "Pooling"
  pooling_param {
	pool: MAX
	kernel_size: 2
	stride: 2
  }
  bottom: "eltwise1"
  top: "pool1"
}

layer{
  name: "conv2a"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
	num_output: 96
	kernel_size: 1
	stride: 1
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}
  }
  bottom: "pool1"
  top: "conv2a"
}
layer{
  name: "slice2a"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv2a"
  top: "slice2a_1"
  top: "slice2a_2"
}
layer{
  name: "etlwise2a"
  type: "Eltwise"
  bottom: "slice2a_1"
  bottom: "slice2a_2"
  top: "eltwise2a"
  eltwise_param {
	operation: MAX
  }
}

layer{
  name: "conv2"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
	num_output: 192
	kernel_size: 3
	stride: 1
	pad: 1
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}
  }
  bottom: "eltwise2a"
  top: "conv2"
}



layer{
  name: "slice2"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv2"
  top: "slice2_1"
  top: "slice2_2"
}
layer{
  name: "etlwise2"
  type: "Eltwise"
  bottom: "slice2_1"
  bottom: "slice2_2"
  top: "eltwise2"
  eltwise_param {
	operation: MAX
  }
}
layer{
  name: "pool2"
  type: "Pooling"
  pooling_param {
	pool: MAX
	kernel_size: 2
	stride: 2
  }
  bottom: "eltwise2"
  top: "pool2"
}

layer{
  name: "conv3a"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
	num_output: 192
	kernel_size: 1
	stride: 1
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}
  }
  bottom: "pool2"
  top: "conv3a"
}
layer{
  name: "slice3a"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv3a"
  top: "slice3a_1"
  top: "slice3a_2"
}
layer{
  name: "etlwise3a"
  type: "Eltwise"
  bottom: "slice3a_1"
  bottom: "slice3a_2"
  top: "eltwise3a"
  eltwise_param {
	operation: MAX
  }
}

layer{
  name: "conv3"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
	num_output: 384
	kernel_size: 3
	stride: 1
	pad: 1
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}
  }
  bottom: "eltwise3a"
  top: "conv3"
}


layer{
  name: "slice3"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv3"
  top: "slice3_1"
  top: "slice3_2"
}
layer{
  name: "etlwise3"
  type: "Eltwise"
  bottom: "slice3_1"
  bottom: "slice3_2"
  top: "eltwise3"
  eltwise_param {
	operation: MAX
  }
}
layer{
  name: "pool3"
  type: "Pooling"
  pooling_param {
	pool: MAX
	kernel_size: 2
	stride: 2
  }
  bottom: "eltwise3"
  top: "pool3"
}

layer{
  name: "conv4a"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param{
    num_output: 384
    kernel_size: 1
    stride: 1
    weight_filler{
      type:"xavier"
    }
    bias_filler{
      type: "constant"
      value: 0.1    
    }
  }
  bottom: "pool3"
  top: "conv4a"
}
layer{
  name: "slice4a"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv4a"
  top: "slice4a_1"
  top: "slice4a_2"
}
layer{
  name: "etlwise4a"
  type: "Eltwise"
  bottom: "slice4a_1"
  bottom: "slice4a_2"
  top: "eltwise4a"
  eltwise_param {
	operation: MAX
  }
}
layer{
  name: "conv4"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param{
    num_output: 256
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler{
      type:"xavier"
    }
    bias_filler{
      type: "constant"
      value: 0.1    
    }
  }
  bottom: "eltwise4a"
  top: "conv4"
}



layer{
  name: "slice4"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv4"
  top: "slice4_1"
  top: "slice4_2"
}
layer{
  name: "etlwise4"
  type: "Eltwise"
  bottom: "slice4_1"
  bottom: "slice4_2"
  top: "eltwise4"
  eltwise_param {
	operation: MAX
  }
}

layer{
  name: "conv5a"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param{
    num_output: 256
    kernel_size: 1
    stride: 1
    weight_filler{
      type:"xavier"
    }
    bias_filler{
      type: "constant"
      value: 0.1    
    }
  }
  bottom: "eltwise4"
  top: "conv5a"
}
layer{
  name: "slice5a"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv5a"
  top: "slice5a_1"
  top: "slice5a_2"
}
layer{
  name: "etlwise5a"
  type: "Eltwise"
  bottom: "slice5a_1"
  bottom: "slice5a_2"
  top: "eltwise5a"
  eltwise_param {
	operation: MAX
  }
}
layer{
  name: "conv5"
  type: "Convolution"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param{
    num_output: 256
    kernel_size: 3
    stride: 1
    pad: 1
    weight_filler{
      type:"xavier"
    }
    bias_filler{
      type: "constant"
      value: 0.1    
    }
  }
  bottom: "eltwise5a"
  top: "conv5"
}


layer{
  name: "slice5"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "conv5"
  top: "slice5_1"
  top: "slice5_2"
}
layer{
  name: "etlwise5"
  type: "Eltwise"
  bottom: "slice5_1"
  bottom: "slice5_2"
  top: "eltwise5"
  eltwise_param {
	operation: MAX
  }
}

layer{
  name: "pool4"
  type: "Pooling"
  pooling_param {
	pool: MAX
	kernel_size: 2
	stride: 2
  }
  bottom: "eltwise5"
  top: "pool4"
}

layer{
  name: "fc1"
  type: "InnerProduct"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
	num_output: 512
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}	
  }  
  bottom: "pool4"
  top: "fc1"
}
layer{
  name: "slice_fc1"
  type:"Slice"
  slice_param {
	slice_dim: 1
  }
  bottom: "fc1"
  top: "slice_fc1_1"
  top: "slice_fc1_2"
}
layer{
  name: "etlwise_fc1"
  type: "Eltwise"
  bottom: "slice_fc1_1"
  bottom: "slice_fc1_2"
  top: "eltwise_fc1"
  eltwise_param {
	operation: MAX
  }
}

layer{
  name: "drop1"
  type: "Dropout"
  dropout_param{
	dropout_ratio: 0.7
  }
  bottom: "eltwise_fc1"
  top: "eltwise_fc1"
}

layer{
  name: "fc2"
  type: "InnerProduct"

  inner_product_param{
	num_output: 99891
	weight_filler {
	  type: "xavier"
	}
	bias_filler {
	  type: "constant"
	  value: 0.1
	}	
  }
  bottom: "eltwise_fc1"
  top: "fc2"
}


layer {
  name: "softmax"
  type: "Softmax"
  bottom: "fc2"
  top: "prob"
  include: { phase: TEST }
}