mobilenetv3_large.prototxt

name: "mobilenetv3"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224
layer {
  name: "block0/conv1"
  type: "Convolution"
  bottom: "data"
  top: "block0/conv1"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block0/bn1"
  type: "BatchNorm"
  bottom: "block0/conv1"
  top: "block0/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block0/scale1"
  type: "Scale"
  bottom: "block0/bn1"
  top: "block0/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block0/hsigmoid/power1"
  type: "Power"
  bottom: "block0/bn1"
  top: "block0/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block0/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block0/hsigmoid/power1"
  top: "block0/hsigmoid/relu1"
}
layer {
  name: "block0/hsigmoid/power2"
  type: "Power"
  bottom: "block0/hsigmoid/relu1"
  top: "block0/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block0/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block0/hsigmoid/power2"
  top: "block0/hsigmoid/relu2"
}
layer {
  name: "block0/hsigmoid/power3"
  type: "Power"
  bottom: "block0/hsigmoid/relu2"
  top: "block0/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block0/mul1"
  type: "Eltwise"
  bottom: "block0/bn1"
  bottom: "block0/hsigmoid/power3"
  top: "block0/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block1/conv1"
  type: "Convolution"
  bottom: "block0/mul1"
  top: "block1/conv1"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 16
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block1/bn1"
  type: "BatchNorm"
  bottom: "block1/conv1"
  top: "block1/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block1/scale1"
  type: "Scale"
  bottom: "block1/bn1"
  top: "block1/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block1/relu1"
  type: "ReLU"
  bottom: "block1/bn1"
  top: "block1/bn1"
}
layer {
  name: "block1/conv2"
  type: "Convolution"
  bottom: "block1/bn1"
  top: "block1/conv2"
  convolution_param {
    num_output: 16
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block1/bn2"
  type: "BatchNorm"
  bottom: "block1/conv2"
  top: "block1/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block1/scale2"
  type: "Scale"
  bottom: "block1/bn2"
  top: "block1/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block1/add1"
  type: "Eltwise"
  bottom: "block0/mul1"
  bottom: "block1/bn2"
  top: "block1/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block2/conv1"
  type: "Convolution"
  bottom: "block1/add1"
  top: "block2/conv1"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block2/bn1"
  type: "BatchNorm"
  bottom: "block2/conv1"
  top: "block2/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block2/scale1"
  type: "Scale"
  bottom: "block2/bn1"
  top: "block2/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block2/relu1"
  type: "ReLU"
  bottom: "block2/bn1"
  top: "block2/bn1"
}
layer {
  name: "block2/conv2"
  type: "Convolution"
  bottom: "block2/bn1"
  top: "block2/conv2"
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 64
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block2/bn2"
  type: "BatchNorm"
  bottom: "block2/conv2"
  top: "block2/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block2/scale2"
  type: "Scale"
  bottom: "block2/bn2"
  top: "block2/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block2/relu2"
  type: "ReLU"
  bottom: "block2/bn2"
  top: "block2/bn2"
}
layer {
  name: "block2/conv3"
  type: "Convolution"
  bottom: "block2/bn2"
  top: "block2/conv3"
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block2/bn3"
  type: "BatchNorm"
  bottom: "block2/conv3"
  top: "block2/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block2/scale3"
  type: "Scale"
  bottom: "block2/bn3"
  top: "block2/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block3/conv1"
  type: "Convolution"
  bottom: "block2/bn3"
  top: "block3/conv1"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block3/bn1"
  type: "BatchNorm"
  bottom: "block3/conv1"
  top: "block3/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block3/scale1"
  type: "Scale"
  bottom: "block3/bn1"
  top: "block3/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block3/relu1"
  type: "ReLU"
  bottom: "block3/bn1"
  top: "block3/bn1"
}
layer {
  name: "block3/conv2"
  type: "Convolution"
  bottom: "block3/bn1"
  top: "block3/conv2"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 72
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block3/bn2"
  type: "BatchNorm"
  bottom: "block3/conv2"
  top: "block3/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block3/scale2"
  type: "Scale"
  bottom: "block3/bn2"
  top: "block3/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block3/relu2"
  type: "ReLU"
  bottom: "block3/bn2"
  top: "block3/bn2"
}
layer {
  name: "block3/conv3"
  type: "Convolution"
  bottom: "block3/bn2"
  top: "block3/conv3"
  convolution_param {
    num_output: 24
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block3/bn3"
  type: "BatchNorm"
  bottom: "block3/conv3"
  top: "block3/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block3/scale3"
  type: "Scale"
  bottom: "block3/bn3"
  top: "block3/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block3/add1"
  type: "Eltwise"
  bottom: "block2/bn3"
  bottom: "block3/bn3"
  top: "block3/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block4/conv1"
  type: "Convolution"
  bottom: "block3/add1"
  top: "block4/conv1"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block4/bn1"
  type: "BatchNorm"
  bottom: "block4/conv1"
  top: "block4/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block4/scale1"
  type: "Scale"
  bottom: "block4/bn1"
  top: "block4/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block4/relu1"
  type: "ReLU"
  bottom: "block4/bn1"
  top: "block4/bn1"
}
layer {
  name: "block4/conv2"
  type: "Convolution"
  bottom: "block4/bn1"
  top: "block4/conv2"
  convolution_param {
    num_output: 72
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 72
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block4/bn2"
  type: "BatchNorm"
  bottom: "block4/conv2"
  top: "block4/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block4/scale2"
  type: "Scale"
  bottom: "block4/bn2"
  top: "block4/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block4/ave_pool1"
  type: "Pooling"
  bottom: "block4/bn2"
  top: "block4/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 28
    stride: 1
  }
}
layer {
  name: "block4/view1"
  type: "Reshape"
  bottom: "block4/ave_pool1"
  top: "block4/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 72
    }
  }
}
layer {
  name: "block4/fc1"
  type: "InnerProduct"
  bottom: "block4/view1"
  top: "block4/fc1"
  inner_product_param {
    num_output: 18
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block4/relu2"
  type: "ReLU"
  bottom: "block4/fc1"
  top: "block4/fc1"
}
layer {
  name: "block4/fc2"
  type: "InnerProduct"
  bottom: "block4/fc1"
  top: "block4/fc2"
  inner_product_param {
    num_output: 72
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block4/hsigmoid/power1"
  type: "Power"
  bottom: "block4/fc2"
  top: "block4/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block4/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block4/hsigmoid/power1"
  top: "block4/hsigmoid/relu1"
}
layer {
  name: "block4/hsigmoid/power2"
  type: "Power"
  bottom: "block4/hsigmoid/relu1"
  top: "block4/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block4/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block4/hsigmoid/power2"
  top: "block4/hsigmoid/relu2"
}
layer {
  name: "block4/hsigmoid/power3"
  type: "Power"
  bottom: "block4/hsigmoid/relu2"
  top: "block4/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block4/view2"
  type: "Reshape"
  bottom: "block4/hsigmoid/power3"
  top: "block4/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 72
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block4/expand_h_1"
  type: "Tile"
  bottom: "block4/view2"
  top: "block4/expand_h_1"
  tile_param {
    axis: 2
    tiles: 28
  }
}
layer {
  name: "block4/expand_w_1"
  type: "Tile"
  bottom: "block4/expand_h_1"
  top: "block4/expand_w_1"
  tile_param {
    axis: 3
    tiles: 28
  }
}
layer {
  name: "block4/mul1"
  type: "Eltwise"
  bottom: "block4/bn2"
  bottom: "block4/expand_w_1"
  top: "block4/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block4/relu3"
  type: "ReLU"
  bottom: "block4/mul1"
  top: "block4/mul1"
}
layer {
  name: "block4/conv3"
  type: "Convolution"
  bottom: "block4/mul1"
  top: "block4/conv3"
  convolution_param {
    num_output: 40
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block4/bn3"
  type: "BatchNorm"
  bottom: "block4/conv3"
  top: "block4/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block4/scale3"
  type: "Scale"
  bottom: "block4/bn3"
  top: "block4/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block5/conv1"
  type: "Convolution"
  bottom: "block4/bn3"
  top: "block5/conv1"
  convolution_param {
    num_output: 120
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block5/bn1"
  type: "BatchNorm"
  bottom: "block5/conv1"
  top: "block5/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block5/scale1"
  type: "Scale"
  bottom: "block5/bn1"
  top: "block5/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block5/relu1"
  type: "ReLU"
  bottom: "block5/bn1"
  top: "block5/bn1"
}
layer {
  name: "block5/conv2"
  type: "Convolution"
  bottom: "block5/bn1"
  top: "block5/conv2"
  convolution_param {
    num_output: 120
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 120
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block5/bn2"
  type: "BatchNorm"
  bottom: "block5/conv2"
  top: "block5/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block5/scale2"
  type: "Scale"
  bottom: "block5/bn2"
  top: "block5/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block5/ave_pool1"
  type: "Pooling"
  bottom: "block5/bn2"
  top: "block5/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 28
    stride: 1
  }
}
layer {
  name: "block5/view1"
  type: "Reshape"
  bottom: "block5/ave_pool1"
  top: "block5/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 120
    }
  }
}
layer {
  name: "block5/fc1"
  type: "InnerProduct"
  bottom: "block5/view1"
  top: "block5/fc1"
  inner_product_param {
    num_output: 30
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block5/relu2"
  type: "ReLU"
  bottom: "block5/fc1"
  top: "block5/fc1"
}
layer {
  name: "block5/fc2"
  type: "InnerProduct"
  bottom: "block5/fc1"
  top: "block5/fc2"
  inner_product_param {
    num_output: 120
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block5/hsigmoid/power1"
  type: "Power"
  bottom: "block5/fc2"
  top: "block5/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block5/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block5/hsigmoid/power1"
  top: "block5/hsigmoid/relu1"
}
layer {
  name: "block5/hsigmoid/power2"
  type: "Power"
  bottom: "block5/hsigmoid/relu1"
  top: "block5/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block5/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block5/hsigmoid/power2"
  top: "block5/hsigmoid/relu2"
}
layer {
  name: "block5/hsigmoid/power3"
  type: "Power"
  bottom: "block5/hsigmoid/relu2"
  top: "block5/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block5/view2"
  type: "Reshape"
  bottom: "block5/hsigmoid/power3"
  top: "block5/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 120
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block5/expand_h_1"
  type: "Tile"
  bottom: "block5/view2"
  top: "block5/expand_h_1"
  tile_param {
    axis: 2
    tiles: 28
  }
}
layer {
  name: "block5/expand_w_1"
  type: "Tile"
  bottom: "block5/expand_h_1"
  top: "block5/expand_w_1"
  tile_param {
    axis: 3
    tiles: 28
  }
}
layer {
  name: "block5/mul1"
  type: "Eltwise"
  bottom: "block5/bn2"
  bottom: "block5/expand_w_1"
  top: "block5/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block5/relu3"
  type: "ReLU"
  bottom: "block5/mul1"
  top: "block5/mul1"
}
layer {
  name: "block5/conv3"
  type: "Convolution"
  bottom: "block5/mul1"
  top: "block5/conv3"
  convolution_param {
    num_output: 40
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block5/bn3"
  type: "BatchNorm"
  bottom: "block5/conv3"
  top: "block5/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block5/scale3"
  type: "Scale"
  bottom: "block5/bn3"
  top: "block5/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block5/add1"
  type: "Eltwise"
  bottom: "block4/bn3"
  bottom: "block5/bn3"
  top: "block5/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block6/conv1"
  type: "Convolution"
  bottom: "block5/add1"
  top: "block6/conv1"
  convolution_param {
    num_output: 120
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block6/bn1"
  type: "BatchNorm"
  bottom: "block6/conv1"
  top: "block6/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block6/scale1"
  type: "Scale"
  bottom: "block6/bn1"
  top: "block6/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block6/relu1"
  type: "ReLU"
  bottom: "block6/bn1"
  top: "block6/bn1"
}
layer {
  name: "block6/conv2"
  type: "Convolution"
  bottom: "block6/bn1"
  top: "block6/conv2"
  convolution_param {
    num_output: 120
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 120
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block6/bn2"
  type: "BatchNorm"
  bottom: "block6/conv2"
  top: "block6/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block6/scale2"
  type: "Scale"
  bottom: "block6/bn2"
  top: "block6/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block6/ave_pool1"
  type: "Pooling"
  bottom: "block6/bn2"
  top: "block6/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 28
    stride: 1
  }
}
layer {
  name: "block6/view1"
  type: "Reshape"
  bottom: "block6/ave_pool1"
  top: "block6/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 120
    }
  }
}
layer {
  name: "block6/fc1"
  type: "InnerProduct"
  bottom: "block6/view1"
  top: "block6/fc1"
  inner_product_param {
    num_output: 30
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block6/relu2"
  type: "ReLU"
  bottom: "block6/fc1"
  top: "block6/fc1"
}
layer {
  name: "block6/fc2"
  type: "InnerProduct"
  bottom: "block6/fc1"
  top: "block6/fc2"
  inner_product_param {
    num_output: 120
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block6/hsigmoid/power1"
  type: "Power"
  bottom: "block6/fc2"
  top: "block6/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block6/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block6/hsigmoid/power1"
  top: "block6/hsigmoid/relu1"
}
layer {
  name: "block6/hsigmoid/power2"
  type: "Power"
  bottom: "block6/hsigmoid/relu1"
  top: "block6/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block6/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block6/hsigmoid/power2"
  top: "block6/hsigmoid/relu2"
}
layer {
  name: "block6/hsigmoid/power3"
  type: "Power"
  bottom: "block6/hsigmoid/relu2"
  top: "block6/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block6/view2"
  type: "Reshape"
  bottom: "block6/hsigmoid/power3"
  top: "block6/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 120
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block6/expand_h_1"
  type: "Tile"
  bottom: "block6/view2"
  top: "block6/expand_h_1"
  tile_param {
    axis: 2
    tiles: 28
  }
}
layer {
  name: "block6/expand_w_1"
  type: "Tile"
  bottom: "block6/expand_h_1"
  top: "block6/expand_w_1"
  tile_param {
    axis: 3
    tiles: 28
  }
}
layer {
  name: "block6/mul1"
  type: "Eltwise"
  bottom: "block6/bn2"
  bottom: "block6/expand_w_1"
  top: "block6/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block6/relu3"
  type: "ReLU"
  bottom: "block6/mul1"
  top: "block6/mul1"
}
layer {
  name: "block6/conv3"
  type: "Convolution"
  bottom: "block6/mul1"
  top: "block6/conv3"
  convolution_param {
    num_output: 40
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block6/bn3"
  type: "BatchNorm"
  bottom: "block6/conv3"
  top: "block6/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block6/scale3"
  type: "Scale"
  bottom: "block6/bn3"
  top: "block6/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block6/add1"
  type: "Eltwise"
  bottom: "block5/add1"
  bottom: "block6/bn3"
  top: "block6/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block7/conv1"
  type: "Convolution"
  bottom: "block6/add1"
  top: "block7/conv1"
  convolution_param {
    num_output: 240
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block7/bn1"
  type: "BatchNorm"
  bottom: "block7/conv1"
  top: "block7/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block7/scale1"
  type: "Scale"
  bottom: "block7/bn1"
  top: "block7/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block7/hsigmoid/power1"
  type: "Power"
  bottom: "block7/bn1"
  top: "block7/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block7/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block7/hsigmoid/power1"
  top: "block7/hsigmoid/relu1"
}
layer {
  name: "block7/hsigmoid/power2"
  type: "Power"
  bottom: "block7/hsigmoid/relu1"
  top: "block7/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block7/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block7/hsigmoid/power2"
  top: "block7/hsigmoid/relu2"
}
layer {
  name: "block7/hsigmoid/power3"
  type: "Power"
  bottom: "block7/hsigmoid/relu2"
  top: "block7/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block7/mul1"
  type: "Eltwise"
  bottom: "block7/bn1"
  bottom: "block7/hsigmoid/power3"
  top: "block7/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block7/conv2"
  type: "Convolution"
  bottom: "block7/mul1"
  top: "block7/conv2"
  convolution_param {
    num_output: 240
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 240
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block7/bn2"
  type: "BatchNorm"
  bottom: "block7/conv2"
  top: "block7/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block7/scale2"
  type: "Scale"
  bottom: "block7/bn2"
  top: "block7/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block7/hsigmoid/power4"
  type: "Power"
  bottom: "block7/bn2"
  top: "block7/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block7/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block7/hsigmoid/power4"
  top: "block7/hsigmoid/relu3"
}
layer {
  name: "block7/hsigmoid/power5"
  type: "Power"
  bottom: "block7/hsigmoid/relu3"
  top: "block7/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block7/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block7/hsigmoid/power5"
  top: "block7/hsigmoid/relu4"
}
layer {
  name: "block7/hsigmoid/power6"
  type: "Power"
  bottom: "block7/hsigmoid/relu4"
  top: "block7/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block7/mul2"
  type: "Eltwise"
  bottom: "block7/bn2"
  bottom: "block7/hsigmoid/power6"
  top: "block7/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block7/conv3"
  type: "Convolution"
  bottom: "block7/mul2"
  top: "block7/conv3"
  convolution_param {
    num_output: 80
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block7/bn3"
  type: "BatchNorm"
  bottom: "block7/conv3"
  top: "block7/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block7/scale3"
  type: "Scale"
  bottom: "block7/bn3"
  top: "block7/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block8/conv1"
  type: "Convolution"
  bottom: "block7/bn3"
  top: "block8/conv1"
  convolution_param {
    num_output: 200
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block8/bn1"
  type: "BatchNorm"
  bottom: "block8/conv1"
  top: "block8/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block8/scale1"
  type: "Scale"
  bottom: "block8/bn1"
  top: "block8/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block8/hsigmoid/power1"
  type: "Power"
  bottom: "block8/bn1"
  top: "block8/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block8/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block8/hsigmoid/power1"
  top: "block8/hsigmoid/relu1"
}
layer {
  name: "block8/hsigmoid/power2"
  type: "Power"
  bottom: "block8/hsigmoid/relu1"
  top: "block8/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block8/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block8/hsigmoid/power2"
  top: "block8/hsigmoid/relu2"
}
layer {
  name: "block8/hsigmoid/power3"
  type: "Power"
  bottom: "block8/hsigmoid/relu2"
  top: "block8/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block8/mul1"
  type: "Eltwise"
  bottom: "block8/bn1"
  bottom: "block8/hsigmoid/power3"
  top: "block8/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block8/conv2"
  type: "Convolution"
  bottom: "block8/mul1"
  top: "block8/conv2"
  convolution_param {
    num_output: 200
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 200
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block8/bn2"
  type: "BatchNorm"
  bottom: "block8/conv2"
  top: "block8/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block8/scale2"
  type: "Scale"
  bottom: "block8/bn2"
  top: "block8/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block8/hsigmoid/power4"
  type: "Power"
  bottom: "block8/bn2"
  top: "block8/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block8/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block8/hsigmoid/power4"
  top: "block8/hsigmoid/relu3"
}
layer {
  name: "block8/hsigmoid/power5"
  type: "Power"
  bottom: "block8/hsigmoid/relu3"
  top: "block8/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block8/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block8/hsigmoid/power5"
  top: "block8/hsigmoid/relu4"
}
layer {
  name: "block8/hsigmoid/power6"
  type: "Power"
  bottom: "block8/hsigmoid/relu4"
  top: "block8/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block8/mul2"
  type: "Eltwise"
  bottom: "block8/bn2"
  bottom: "block8/hsigmoid/power6"
  top: "block8/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block8/conv3"
  type: "Convolution"
  bottom: "block8/mul2"
  top: "block8/conv3"
  convolution_param {
    num_output: 80
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block8/bn3"
  type: "BatchNorm"
  bottom: "block8/conv3"
  top: "block8/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block8/scale3"
  type: "Scale"
  bottom: "block8/bn3"
  top: "block8/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block8/add1"
  type: "Eltwise"
  bottom: "block7/bn3"
  bottom: "block8/bn3"
  top: "block8/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block9/conv1"
  type: "Convolution"
  bottom: "block8/add1"
  top: "block9/conv1"
  convolution_param {
    num_output: 184
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block9/bn1"
  type: "BatchNorm"
  bottom: "block9/conv1"
  top: "block9/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block9/scale1"
  type: "Scale"
  bottom: "block9/bn1"
  top: "block9/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block9/hsigmoid/power1"
  type: "Power"
  bottom: "block9/bn1"
  top: "block9/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block9/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block9/hsigmoid/power1"
  top: "block9/hsigmoid/relu1"
}
layer {
  name: "block9/hsigmoid/power2"
  type: "Power"
  bottom: "block9/hsigmoid/relu1"
  top: "block9/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block9/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block9/hsigmoid/power2"
  top: "block9/hsigmoid/relu2"
}
layer {
  name: "block9/hsigmoid/power3"
  type: "Power"
  bottom: "block9/hsigmoid/relu2"
  top: "block9/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block9/mul1"
  type: "Eltwise"
  bottom: "block9/bn1"
  bottom: "block9/hsigmoid/power3"
  top: "block9/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block9/conv2"
  type: "Convolution"
  bottom: "block9/mul1"
  top: "block9/conv2"
  convolution_param {
    num_output: 184
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 184
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block9/bn2"
  type: "BatchNorm"
  bottom: "block9/conv2"
  top: "block9/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block9/scale2"
  type: "Scale"
  bottom: "block9/bn2"
  top: "block9/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block9/hsigmoid/power4"
  type: "Power"
  bottom: "block9/bn2"
  top: "block9/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block9/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block9/hsigmoid/power4"
  top: "block9/hsigmoid/relu3"
}
layer {
  name: "block9/hsigmoid/power5"
  type: "Power"
  bottom: "block9/hsigmoid/relu3"
  top: "block9/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block9/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block9/hsigmoid/power5"
  top: "block9/hsigmoid/relu4"
}
layer {
  name: "block9/hsigmoid/power6"
  type: "Power"
  bottom: "block9/hsigmoid/relu4"
  top: "block9/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block9/mul2"
  type: "Eltwise"
  bottom: "block9/bn2"
  bottom: "block9/hsigmoid/power6"
  top: "block9/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block9/conv3"
  type: "Convolution"
  bottom: "block9/mul2"
  top: "block9/conv3"
  convolution_param {
    num_output: 80
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block9/bn3"
  type: "BatchNorm"
  bottom: "block9/conv3"
  top: "block9/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block9/scale3"
  type: "Scale"
  bottom: "block9/bn3"
  top: "block9/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block9/add1"
  type: "Eltwise"
  bottom: "block8/add1"
  bottom: "block9/bn3"
  top: "block9/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block10/conv1"
  type: "Convolution"
  bottom: "block9/add1"
  top: "block10/conv1"
  convolution_param {
    num_output: 184
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block10/bn1"
  type: "BatchNorm"
  bottom: "block10/conv1"
  top: "block10/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block10/scale1"
  type: "Scale"
  bottom: "block10/bn1"
  top: "block10/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block10/hsigmoid/power1"
  type: "Power"
  bottom: "block10/bn1"
  top: "block10/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block10/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block10/hsigmoid/power1"
  top: "block10/hsigmoid/relu1"
}
layer {
  name: "block10/hsigmoid/power2"
  type: "Power"
  bottom: "block10/hsigmoid/relu1"
  top: "block10/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block10/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block10/hsigmoid/power2"
  top: "block10/hsigmoid/relu2"
}
layer {
  name: "block10/hsigmoid/power3"
  type: "Power"
  bottom: "block10/hsigmoid/relu2"
  top: "block10/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block10/mul1"
  type: "Eltwise"
  bottom: "block10/bn1"
  bottom: "block10/hsigmoid/power3"
  top: "block10/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block10/conv2"
  type: "Convolution"
  bottom: "block10/mul1"
  top: "block10/conv2"
  convolution_param {
    num_output: 184
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 184
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block10/bn2"
  type: "BatchNorm"
  bottom: "block10/conv2"
  top: "block10/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block10/scale2"
  type: "Scale"
  bottom: "block10/bn2"
  top: "block10/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block10/hsigmoid/power4"
  type: "Power"
  bottom: "block10/bn2"
  top: "block10/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block10/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block10/hsigmoid/power4"
  top: "block10/hsigmoid/relu3"
}
layer {
  name: "block10/hsigmoid/power5"
  type: "Power"
  bottom: "block10/hsigmoid/relu3"
  top: "block10/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block10/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block10/hsigmoid/power5"
  top: "block10/hsigmoid/relu4"
}
layer {
  name: "block10/hsigmoid/power6"
  type: "Power"
  bottom: "block10/hsigmoid/relu4"
  top: "block10/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block10/mul2"
  type: "Eltwise"
  bottom: "block10/bn2"
  bottom: "block10/hsigmoid/power6"
  top: "block10/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block10/conv3"
  type: "Convolution"
  bottom: "block10/mul2"
  top: "block10/conv3"
  convolution_param {
    num_output: 80
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block10/bn3"
  type: "BatchNorm"
  bottom: "block10/conv3"
  top: "block10/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block10/scale3"
  type: "Scale"
  bottom: "block10/bn3"
  top: "block10/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block10/add1"
  type: "Eltwise"
  bottom: "block9/add1"
  bottom: "block10/bn3"
  top: "block10/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block11/conv1"
  type: "Convolution"
  bottom: "block10/add1"
  top: "block11/conv1"
  convolution_param {
    num_output: 480
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block11/bn1"
  type: "BatchNorm"
  bottom: "block11/conv1"
  top: "block11/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block11/scale1"
  type: "Scale"
  bottom: "block11/bn1"
  top: "block11/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block11/hsigmoid/power1"
  type: "Power"
  bottom: "block11/bn1"
  top: "block11/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block11/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block11/hsigmoid/power1"
  top: "block11/hsigmoid/relu1"
}
layer {
  name: "block11/hsigmoid/power2"
  type: "Power"
  bottom: "block11/hsigmoid/relu1"
  top: "block11/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block11/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block11/hsigmoid/power2"
  top: "block11/hsigmoid/relu2"
}
layer {
  name: "block11/hsigmoid/power3"
  type: "Power"
  bottom: "block11/hsigmoid/relu2"
  top: "block11/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block11/mul1"
  type: "Eltwise"
  bottom: "block11/bn1"
  bottom: "block11/hsigmoid/power3"
  top: "block11/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block11/conv2"
  type: "Convolution"
  bottom: "block11/mul1"
  top: "block11/conv2"
  convolution_param {
    num_output: 480
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 480
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block11/bn2"
  type: "BatchNorm"
  bottom: "block11/conv2"
  top: "block11/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block11/scale2"
  type: "Scale"
  bottom: "block11/bn2"
  top: "block11/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block11/ave_pool1"
  type: "Pooling"
  bottom: "block11/bn2"
  top: "block11/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 14
    stride: 1
  }
}
layer {
  name: "block11/view1"
  type: "Reshape"
  bottom: "block11/ave_pool1"
  top: "block11/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 480
    }
  }
}
layer {
  name: "block11/fc1"
  type: "InnerProduct"
  bottom: "block11/view1"
  top: "block11/fc1"
  inner_product_param {
    num_output: 120
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block11/relu1"
  type: "ReLU"
  bottom: "block11/fc1"
  top: "block11/fc1"
}
layer {
  name: "block11/fc2"
  type: "InnerProduct"
  bottom: "block11/fc1"
  top: "block11/fc2"
  inner_product_param {
    num_output: 480
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block11/hsigmoid/power4"
  type: "Power"
  bottom: "block11/fc2"
  top: "block11/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block11/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block11/hsigmoid/power4"
  top: "block11/hsigmoid/relu3"
}
layer {
  name: "block11/hsigmoid/power5"
  type: "Power"
  bottom: "block11/hsigmoid/relu3"
  top: "block11/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block11/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block11/hsigmoid/power5"
  top: "block11/hsigmoid/relu4"
}
layer {
  name: "block11/hsigmoid/power6"
  type: "Power"
  bottom: "block11/hsigmoid/relu4"
  top: "block11/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block11/view2"
  type: "Reshape"
  bottom: "block11/hsigmoid/power6"
  top: "block11/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 480
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block11/expand_h_1"
  type: "Tile"
  bottom: "block11/view2"
  top: "block11/expand_h_1"
  tile_param {
    axis: 2
    tiles: 14
  }
}
layer {
  name: "block11/expand_w_1"
  type: "Tile"
  bottom: "block11/expand_h_1"
  top: "block11/expand_w_1"
  tile_param {
    axis: 3
    tiles: 14
  }
}
layer {
  name: "block11/mul2"
  type: "Eltwise"
  bottom: "block11/bn2"
  bottom: "block11/expand_w_1"
  top: "block11/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block11/hsigmoid/power7"
  type: "Power"
  bottom: "block11/mul2"
  top: "block11/hsigmoid/power7"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block11/hsigmoid/relu5"
  type: "ReLU"
  bottom: "block11/hsigmoid/power7"
  top: "block11/hsigmoid/relu5"
}
layer {
  name: "block11/hsigmoid/power8"
  type: "Power"
  bottom: "block11/hsigmoid/relu5"
  top: "block11/hsigmoid/power8"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block11/hsigmoid/relu6"
  type: "ReLU"
  bottom: "block11/hsigmoid/power8"
  top: "block11/hsigmoid/relu6"
}
layer {
  name: "block11/hsigmoid/power9"
  type: "Power"
  bottom: "block11/hsigmoid/relu6"
  top: "block11/hsigmoid/power9"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block11/mul3"
  type: "Eltwise"
  bottom: "block11/mul2"
  bottom: "block11/hsigmoid/power9"
  top: "block11/mul3"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block11/conv3"
  type: "Convolution"
  bottom: "block11/mul3"
  top: "block11/conv3"
  convolution_param {
    num_output: 112
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block11/bn3"
  type: "BatchNorm"
  bottom: "block11/conv3"
  top: "block11/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block11/scale3"
  type: "Scale"
  bottom: "block11/bn3"
  top: "block11/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block12/conv1"
  type: "Convolution"
  bottom: "block11/bn3"
  top: "block12/conv1"
  convolution_param {
    num_output: 672
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block12/bn1"
  type: "BatchNorm"
  bottom: "block12/conv1"
  top: "block12/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block12/scale1"
  type: "Scale"
  bottom: "block12/bn1"
  top: "block12/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block12/hsigmoid/power1"
  type: "Power"
  bottom: "block12/bn1"
  top: "block12/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block12/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block12/hsigmoid/power1"
  top: "block12/hsigmoid/relu1"
}
layer {
  name: "block12/hsigmoid/power2"
  type: "Power"
  bottom: "block12/hsigmoid/relu1"
  top: "block12/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block12/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block12/hsigmoid/power2"
  top: "block12/hsigmoid/relu2"
}
layer {
  name: "block12/hsigmoid/power3"
  type: "Power"
  bottom: "block12/hsigmoid/relu2"
  top: "block12/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block12/mul1"
  type: "Eltwise"
  bottom: "block12/bn1"
  bottom: "block12/hsigmoid/power3"
  top: "block12/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block12/conv2"
  type: "Convolution"
  bottom: "block12/mul1"
  top: "block12/conv2"
  convolution_param {
    num_output: 672
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 672
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block12/bn2"
  type: "BatchNorm"
  bottom: "block12/conv2"
  top: "block12/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block12/scale2"
  type: "Scale"
  bottom: "block12/bn2"
  top: "block12/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block12/ave_pool1"
  type: "Pooling"
  bottom: "block12/bn2"
  top: "block12/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 14
    stride: 1
  }
}
layer {
  name: "block12/view1"
  type: "Reshape"
  bottom: "block12/ave_pool1"
  top: "block12/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 672
    }
  }
}
layer {
  name: "block12/fc1"
  type: "InnerProduct"
  bottom: "block12/view1"
  top: "block12/fc1"
  inner_product_param {
    num_output: 168
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block12/relu1"
  type: "ReLU"
  bottom: "block12/fc1"
  top: "block12/fc1"
}
layer {
  name: "block12/fc2"
  type: "InnerProduct"
  bottom: "block12/fc1"
  top: "block12/fc2"
  inner_product_param {
    num_output: 672
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block12/hsigmoid/power4"
  type: "Power"
  bottom: "block12/fc2"
  top: "block12/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block12/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block12/hsigmoid/power4"
  top: "block12/hsigmoid/relu3"
}
layer {
  name: "block12/hsigmoid/power5"
  type: "Power"
  bottom: "block12/hsigmoid/relu3"
  top: "block12/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block12/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block12/hsigmoid/power5"
  top: "block12/hsigmoid/relu4"
}
layer {
  name: "block12/hsigmoid/power6"
  type: "Power"
  bottom: "block12/hsigmoid/relu4"
  top: "block12/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block12/view2"
  type: "Reshape"
  bottom: "block12/hsigmoid/power6"
  top: "block12/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 672
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block12/expand_h_1"
  type: "Tile"
  bottom: "block12/view2"
  top: "block12/expand_h_1"
  tile_param {
    axis: 2
    tiles: 14
  }
}
layer {
  name: "block12/expand_w_1"
  type: "Tile"
  bottom: "block12/expand_h_1"
  top: "block12/expand_w_1"
  tile_param {
    axis: 3
    tiles: 14
  }
}
layer {
  name: "block12/mul2"
  type: "Eltwise"
  bottom: "block12/bn2"
  bottom: "block12/expand_w_1"
  top: "block12/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block12/hsigmoid/power7"
  type: "Power"
  bottom: "block12/mul2"
  top: "block12/hsigmoid/power7"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block12/hsigmoid/relu5"
  type: "ReLU"
  bottom: "block12/hsigmoid/power7"
  top: "block12/hsigmoid/relu5"
}
layer {
  name: "block12/hsigmoid/power8"
  type: "Power"
  bottom: "block12/hsigmoid/relu5"
  top: "block12/hsigmoid/power8"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block12/hsigmoid/relu6"
  type: "ReLU"
  bottom: "block12/hsigmoid/power8"
  top: "block12/hsigmoid/relu6"
}
layer {
  name: "block12/hsigmoid/power9"
  type: "Power"
  bottom: "block12/hsigmoid/relu6"
  top: "block12/hsigmoid/power9"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block12/mul3"
  type: "Eltwise"
  bottom: "block12/mul2"
  bottom: "block12/hsigmoid/power9"
  top: "block12/mul3"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block12/conv3"
  type: "Convolution"
  bottom: "block12/mul3"
  top: "block12/conv3"
  convolution_param {
    num_output: 112
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block12/bn3"
  type: "BatchNorm"
  bottom: "block12/conv3"
  top: "block12/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block12/scale3"
  type: "Scale"
  bottom: "block12/bn3"
  top: "block12/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block12/add1"
  type: "Eltwise"
  bottom: "block11/bn3"
  bottom: "block12/bn3"
  top: "block12/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block13/conv1"
  type: "Convolution"
  bottom: "block12/add1"
  top: "block13/conv1"
  convolution_param {
    num_output: 672
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block13/bn1"
  type: "BatchNorm"
  bottom: "block13/conv1"
  top: "block13/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block13/scale1"
  type: "Scale"
  bottom: "block13/bn1"
  top: "block13/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block13/hsigmoid/power1"
  type: "Power"
  bottom: "block13/bn1"
  top: "block13/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block13/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block13/hsigmoid/power1"
  top: "block13/hsigmoid/relu1"
}
layer {
  name: "block13/hsigmoid/power2"
  type: "Power"
  bottom: "block13/hsigmoid/relu1"
  top: "block13/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block13/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block13/hsigmoid/power2"
  top: "block13/hsigmoid/relu2"
}
layer {
  name: "block13/hsigmoid/power3"
  type: "Power"
  bottom: "block13/hsigmoid/relu2"
  top: "block13/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block13/mul1"
  type: "Eltwise"
  bottom: "block13/bn1"
  bottom: "block13/hsigmoid/power3"
  top: "block13/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block13/conv2"
  type: "Convolution"
  bottom: "block13/mul1"
  top: "block13/conv2"
  convolution_param {
    num_output: 672
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 672
    stride: 2
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block13/bn2"
  type: "BatchNorm"
  bottom: "block13/conv2"
  top: "block13/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block13/scale2"
  type: "Scale"
  bottom: "block13/bn2"
  top: "block13/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block13/ave_pool1"
  type: "Pooling"
  bottom: "block13/bn2"
  top: "block13/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "block13/view1"
  type: "Reshape"
  bottom: "block13/ave_pool1"
  top: "block13/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 672
    }
  }
}
layer {
  name: "block13/fc1"
  type: "InnerProduct"
  bottom: "block13/view1"
  top: "block13/fc1"
  inner_product_param {
    num_output: 168
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block13/relu1"
  type: "ReLU"
  bottom: "block13/fc1"
  top: "block13/fc1"
}
layer {
  name: "block13/fc2"
  type: "InnerProduct"
  bottom: "block13/fc1"
  top: "block13/fc2"
  inner_product_param {
    num_output: 672
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block13/hsigmoid/power4"
  type: "Power"
  bottom: "block13/fc2"
  top: "block13/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block13/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block13/hsigmoid/power4"
  top: "block13/hsigmoid/relu3"
}
layer {
  name: "block13/hsigmoid/power5"
  type: "Power"
  bottom: "block13/hsigmoid/relu3"
  top: "block13/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block13/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block13/hsigmoid/power5"
  top: "block13/hsigmoid/relu4"
}
layer {
  name: "block13/hsigmoid/power6"
  type: "Power"
  bottom: "block13/hsigmoid/relu4"
  top: "block13/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block13/view2"
  type: "Reshape"
  bottom: "block13/hsigmoid/power6"
  top: "block13/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 672
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block13/expand_h_1"
  type: "Tile"
  bottom: "block13/view2"
  top: "block13/expand_h_1"
  tile_param {
    axis: 2
    tiles: 7
  }
}
layer {
  name: "block13/expand_w_1"
  type: "Tile"
  bottom: "block13/expand_h_1"
  top: "block13/expand_w_1"
  tile_param {
    axis: 3
    tiles: 7
  }
}
layer {
  name: "block13/mul2"
  type: "Eltwise"
  bottom: "block13/bn2"
  bottom: "block13/expand_w_1"
  top: "block13/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block13/hsigmoid/power7"
  type: "Power"
  bottom: "block13/mul2"
  top: "block13/hsigmoid/power7"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block13/hsigmoid/relu5"
  type: "ReLU"
  bottom: "block13/hsigmoid/power7"
  top: "block13/hsigmoid/relu5"
}
layer {
  name: "block13/hsigmoid/power8"
  type: "Power"
  bottom: "block13/hsigmoid/relu5"
  top: "block13/hsigmoid/power8"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block13/hsigmoid/relu6"
  type: "ReLU"
  bottom: "block13/hsigmoid/power8"
  top: "block13/hsigmoid/relu6"
}
layer {
  name: "block13/hsigmoid/power9"
  type: "Power"
  bottom: "block13/hsigmoid/relu6"
  top: "block13/hsigmoid/power9"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block13/mul3"
  type: "Eltwise"
  bottom: "block13/mul2"
  bottom: "block13/hsigmoid/power9"
  top: "block13/mul3"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block13/conv3"
  type: "Convolution"
  bottom: "block13/mul3"
  top: "block13/conv3"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block13/bn3"
  type: "BatchNorm"
  bottom: "block13/conv3"
  top: "block13/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block13/scale3"
  type: "Scale"
  bottom: "block13/bn3"
  top: "block13/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block14/conv1"
  type: "Convolution"
  bottom: "block13/bn3"
  top: "block14/conv1"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block14/bn1"
  type: "BatchNorm"
  bottom: "block14/conv1"
  top: "block14/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block14/scale1"
  type: "Scale"
  bottom: "block14/bn1"
  top: "block14/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block14/hsigmoid/power1"
  type: "Power"
  bottom: "block14/bn1"
  top: "block14/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block14/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block14/hsigmoid/power1"
  top: "block14/hsigmoid/relu1"
}
layer {
  name: "block14/hsigmoid/power2"
  type: "Power"
  bottom: "block14/hsigmoid/relu1"
  top: "block14/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block14/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block14/hsigmoid/power2"
  top: "block14/hsigmoid/relu2"
}
layer {
  name: "block14/hsigmoid/power3"
  type: "Power"
  bottom: "block14/hsigmoid/relu2"
  top: "block14/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block14/mul1"
  type: "Eltwise"
  bottom: "block14/bn1"
  bottom: "block14/hsigmoid/power3"
  top: "block14/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block14/conv2"
  type: "Convolution"
  bottom: "block14/mul1"
  top: "block14/conv2"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 960
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block14/bn2"
  type: "BatchNorm"
  bottom: "block14/conv2"
  top: "block14/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block14/scale2"
  type: "Scale"
  bottom: "block14/bn2"
  top: "block14/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block14/ave_pool1"
  type: "Pooling"
  bottom: "block14/bn2"
  top: "block14/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "block14/view1"
  type: "Reshape"
  bottom: "block14/ave_pool1"
  top: "block14/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 960
    }
  }
}
layer {
  name: "block14/fc1"
  type: "InnerProduct"
  bottom: "block14/view1"
  top: "block14/fc1"
  inner_product_param {
    num_output: 240
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block14/relu1"
  type: "ReLU"
  bottom: "block14/fc1"
  top: "block14/fc1"
}
layer {
  name: "block14/fc2"
  type: "InnerProduct"
  bottom: "block14/fc1"
  top: "block14/fc2"
  inner_product_param {
    num_output: 960
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block14/hsigmoid/power4"
  type: "Power"
  bottom: "block14/fc2"
  top: "block14/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block14/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block14/hsigmoid/power4"
  top: "block14/hsigmoid/relu3"
}
layer {
  name: "block14/hsigmoid/power5"
  type: "Power"
  bottom: "block14/hsigmoid/relu3"
  top: "block14/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block14/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block14/hsigmoid/power5"
  top: "block14/hsigmoid/relu4"
}
layer {
  name: "block14/hsigmoid/power6"
  type: "Power"
  bottom: "block14/hsigmoid/relu4"
  top: "block14/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block14/view2"
  type: "Reshape"
  bottom: "block14/hsigmoid/power6"
  top: "block14/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 960
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block14/expand_h_1"
  type: "Tile"
  bottom: "block14/view2"
  top: "block14/expand_h_1"
  tile_param {
    axis: 2
    tiles: 7
  }
}
layer {
  name: "block14/expand_w_1"
  type: "Tile"
  bottom: "block14/expand_h_1"
  top: "block14/expand_w_1"
  tile_param {
    axis: 3
    tiles: 7
  }
}
layer {
  name: "block14/mul2"
  type: "Eltwise"
  bottom: "block14/bn2"
  bottom: "block14/expand_w_1"
  top: "block14/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block14/hsigmoid/power7"
  type: "Power"
  bottom: "block14/mul2"
  top: "block14/hsigmoid/power7"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block14/hsigmoid/relu5"
  type: "ReLU"
  bottom: "block14/hsigmoid/power7"
  top: "block14/hsigmoid/relu5"
}
layer {
  name: "block14/hsigmoid/power8"
  type: "Power"
  bottom: "block14/hsigmoid/relu5"
  top: "block14/hsigmoid/power8"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block14/hsigmoid/relu6"
  type: "ReLU"
  bottom: "block14/hsigmoid/power8"
  top: "block14/hsigmoid/relu6"
}
layer {
  name: "block14/hsigmoid/power9"
  type: "Power"
  bottom: "block14/hsigmoid/relu6"
  top: "block14/hsigmoid/power9"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block14/mul3"
  type: "Eltwise"
  bottom: "block14/mul2"
  bottom: "block14/hsigmoid/power9"
  top: "block14/mul3"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block14/conv3"
  type: "Convolution"
  bottom: "block14/mul3"
  top: "block14/conv3"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block14/bn3"
  type: "BatchNorm"
  bottom: "block14/conv3"
  top: "block14/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block14/scale3"
  type: "Scale"
  bottom: "block14/bn3"
  top: "block14/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block14/add1"
  type: "Eltwise"
  bottom: "block13/bn3"
  bottom: "block14/bn3"
  top: "block14/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block15/conv1"
  type: "Convolution"
  bottom: "block14/add1"
  top: "block15/conv1"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block15/bn1"
  type: "BatchNorm"
  bottom: "block15/conv1"
  top: "block15/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block15/scale1"
  type: "Scale"
  bottom: "block15/bn1"
  top: "block15/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block15/hsigmoid/power1"
  type: "Power"
  bottom: "block15/bn1"
  top: "block15/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block15/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block15/hsigmoid/power1"
  top: "block15/hsigmoid/relu1"
}
layer {
  name: "block15/hsigmoid/power2"
  type: "Power"
  bottom: "block15/hsigmoid/relu1"
  top: "block15/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block15/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block15/hsigmoid/power2"
  top: "block15/hsigmoid/relu2"
}
layer {
  name: "block15/hsigmoid/power3"
  type: "Power"
  bottom: "block15/hsigmoid/relu2"
  top: "block15/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block15/mul1"
  type: "Eltwise"
  bottom: "block15/bn1"
  bottom: "block15/hsigmoid/power3"
  top: "block15/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block15/conv2"
  type: "Convolution"
  bottom: "block15/mul1"
  top: "block15/conv2"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 2
    kernel_size: 5
    group: 960
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block15/bn2"
  type: "BatchNorm"
  bottom: "block15/conv2"
  top: "block15/bn2"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block15/scale2"
  type: "Scale"
  bottom: "block15/bn2"
  top: "block15/bn2"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block15/ave_pool1"
  type: "Pooling"
  bottom: "block15/bn2"
  top: "block15/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "block15/view1"
  type: "Reshape"
  bottom: "block15/ave_pool1"
  top: "block15/view1"
  reshape_param {
    shape {
      dim: 0
      dim: 960
    }
  }
}
layer {
  name: "block15/fc1"
  type: "InnerProduct"
  bottom: "block15/view1"
  top: "block15/fc1"
  inner_product_param {
    num_output: 240
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block15/relu1"
  type: "ReLU"
  bottom: "block15/fc1"
  top: "block15/fc1"
}
layer {
  name: "block15/fc2"
  type: "InnerProduct"
  bottom: "block15/fc1"
  top: "block15/fc2"
  inner_product_param {
    num_output: 960
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "block15/hsigmoid/power4"
  type: "Power"
  bottom: "block15/fc2"
  top: "block15/hsigmoid/power4"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block15/hsigmoid/relu3"
  type: "ReLU"
  bottom: "block15/hsigmoid/power4"
  top: "block15/hsigmoid/relu3"
}
layer {
  name: "block15/hsigmoid/power5"
  type: "Power"
  bottom: "block15/hsigmoid/relu3"
  top: "block15/hsigmoid/power5"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block15/hsigmoid/relu4"
  type: "ReLU"
  bottom: "block15/hsigmoid/power5"
  top: "block15/hsigmoid/relu4"
}
layer {
  name: "block15/hsigmoid/power6"
  type: "Power"
  bottom: "block15/hsigmoid/relu4"
  top: "block15/hsigmoid/power6"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block15/view2"
  type: "Reshape"
  bottom: "block15/hsigmoid/power6"
  top: "block15/view2"
  reshape_param {
    shape {
      dim: 0
      dim: 960
      dim: 1
      dim: 1
    }
  }
}
layer {
  name: "block15/expand_h_1"
  type: "Tile"
  bottom: "block15/view2"
  top: "block15/expand_h_1"
  tile_param {
    axis: 2
    tiles: 7
  }
}
layer {
  name: "block15/expand_w_1"
  type: "Tile"
  bottom: "block15/expand_h_1"
  top: "block15/expand_w_1"
  tile_param {
    axis: 3
    tiles: 7
  }
}
layer {
  name: "block15/mul2"
  type: "Eltwise"
  bottom: "block15/bn2"
  bottom: "block15/expand_w_1"
  top: "block15/mul2"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block15/hsigmoid/power7"
  type: "Power"
  bottom: "block15/mul2"
  top: "block15/hsigmoid/power7"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block15/hsigmoid/relu5"
  type: "ReLU"
  bottom: "block15/hsigmoid/power7"
  top: "block15/hsigmoid/relu5"
}
layer {
  name: "block15/hsigmoid/power8"
  type: "Power"
  bottom: "block15/hsigmoid/relu5"
  top: "block15/hsigmoid/power8"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block15/hsigmoid/relu6"
  type: "ReLU"
  bottom: "block15/hsigmoid/power8"
  top: "block15/hsigmoid/relu6"
}
layer {
  name: "block15/hsigmoid/power9"
  type: "Power"
  bottom: "block15/hsigmoid/relu6"
  top: "block15/hsigmoid/power9"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block15/mul3"
  type: "Eltwise"
  bottom: "block15/mul2"
  bottom: "block15/hsigmoid/power9"
  top: "block15/mul3"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block15/conv3"
  type: "Convolution"
  bottom: "block15/mul3"
  top: "block15/conv3"
  convolution_param {
    num_output: 160
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block15/bn3"
  type: "BatchNorm"
  bottom: "block15/conv3"
  top: "block15/bn3"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block15/scale3"
  type: "Scale"
  bottom: "block15/bn3"
  top: "block15/bn3"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block15/add1"
  type: "Eltwise"
  bottom: "block14/add1"
  bottom: "block15/bn3"
  top: "block15/add1"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "block16/conv1"
  type: "Convolution"
  bottom: "block15/add1"
  top: "block16/conv1"
  convolution_param {
    num_output: 960
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block16/bn1"
  type: "BatchNorm"
  bottom: "block16/conv1"
  top: "block16/bn1"
  batch_norm_param {
    use_global_stats: true
    eps: 1e-05
  }
}
layer {
  name: "block16/scale1"
  type: "Scale"
  bottom: "block16/bn1"
  top: "block16/bn1"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "block16/hsigmoid/power1"
  type: "Power"
  bottom: "block16/bn1"
  top: "block16/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block16/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block16/hsigmoid/power1"
  top: "block16/hsigmoid/relu1"
}
layer {
  name: "block16/hsigmoid/power2"
  type: "Power"
  bottom: "block16/hsigmoid/relu1"
  top: "block16/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block16/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block16/hsigmoid/power2"
  top: "block16/hsigmoid/relu2"
}
layer {
  name: "block16/hsigmoid/power3"
  type: "Power"
  bottom: "block16/hsigmoid/relu2"
  top: "block16/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block16/mul1"
  type: "Eltwise"
  bottom: "block16/bn1"
  bottom: "block16/hsigmoid/power3"
  top: "block16/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block17/conv1"
  type: "Convolution"
  bottom: "block16/mul1"
  top: "block17/conv1"
  convolution_param {
    num_output: 1280
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    dilation: 1
  }
}
layer {
  name: "block18/hsigmoid/power1"
  type: "Power"
  bottom: "block17/conv1"
  top: "block18/hsigmoid/power1"
  power_param {
    scale: 0.16666666666666666
    shift: 0.5
  }
}
layer {
  name: "block18/hsigmoid/relu1"
  type: "ReLU"
  bottom: "block18/hsigmoid/power1"
  top: "block18/hsigmoid/relu1"
}
layer {
  name: "block18/hsigmoid/power2"
  type: "Power"
  bottom: "block18/hsigmoid/relu1"
  top: "block18/hsigmoid/power2"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block18/hsigmoid/relu2"
  type: "ReLU"
  bottom: "block18/hsigmoid/power2"
  top: "block18/hsigmoid/relu2"
}
layer {
  name: "block18/hsigmoid/power3"
  type: "Power"
  bottom: "block18/hsigmoid/relu2"
  top: "block18/hsigmoid/power3"
  power_param {
    scale: -1
    shift: 1
  }
}
layer {
  name: "block18/mul1"
  type: "Eltwise"
  bottom: "block17/conv1"
  bottom: "block18/hsigmoid/power3"
  top: "block18/mul1"
  eltwise_param {
    operation: PROD
  }
}
layer {
  name: "block19/ave_pool1"
  type: "Pooling"
  bottom: "block18/mul1"
  top: "block19/ave_pool1"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "block19/mean1"
  type: "Reduction"
  bottom: "block19/ave_pool1"
  top: "block19/mean1"
  reduction_param {
    operation: MEAN
    axis: 3
  }
}
layer {
  name: "block19/mean2"
  type: "Reduction"
  bottom: "block19/mean1"
  top: "block19/mean2"
  reduction_param {
    operation: MEAN
    axis: 2
  }
}
layer {
  name: "dropout"
  type: "Dropout"
  bottom: "block19/mean2"
  top: "block19/mean2"
  include {
    phase: TRAIN
  }
  dropout_param {
    dropout_ratio: 0.2
  }
}
layer {
  name: "fc/fc1"
  type: "InnerProduct"
  bottom: "block19/mean2"
  top: "fc/fc1"
  inner_product_param {
    num_output: 1000
    bias_term: true
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
#layer {
#  name: "prob"
#  type: "Softmax"
#  bottom: "fc/fc1"
#  top: "prob"
#}