有偿求助-3559a-mobilenet-ssd模型转换问题-有谁成功过么

请问有谁在3559a上转换mobile net ssd 成功的吗？我转后在nnie上推理结果不对，  感觉prototxt没写对。
求prototxt配置，非常感谢！！可有偿！！

下面是我的depthwise卷积层的写法：
layer {
  name: "conv2_1/dw"
  type: "DepthwiseConv"
  bottom: "conv1"
  top: "conv2_1/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 32
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv2_1/dw/bn"
  type: "BatchNorm"
  bottom: "conv2_1/dw"
  top: "conv2_1/dw"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  param {
    lr_mult: 0
    decay_mult: 0
  }
  batch_norm_param {
    use_global_stats: true
    eps: 1e-5
  }
}
layer {
  name: "conv2_1/dw/scale"
  type: "Scale"
  bottom: "conv2_1/dw"
  top: "conv2_1/dw"
  param {
    lr_mult: 1
    decay_mult: 0
  }
  param {
    lr_mult: 1
    decay_mult: 0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "relu2_1/dw"
  type: "ReLU"
  bottom: "conv2_1/dw"
  top: "conv2_1/dw"
}
layer {
  name: "conv2_1/sep"
  type: "Convolution"
  bottom: "conv2_1/dw"
  top: "conv2_1/sep"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}