name: "TestSharedWeights"

input: "input_1"
input_shape { dim: 1 dim: 1 dim: 2 dim: 2}

input: "input_2"
input_shape { dim: 1 dim: 1 dim: 2 dim: 2}

layer {
  name: "conv"
  type: "Convolution"
  bottom: "input_1"
  top: "conv_1"

  convolution_param
  {
    group: 1
    num_output: 1

    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1

    weight_filler{
      type: 'constant'
      value: 1
    }
    bias_filler {
      type: 'constant'
      value: 0
    }
  }
}

layer {
  name: "conv"
  type: "Convolution"
  bottom: "input_2"
  top: "conv_2"

  convolution_param
  {
    group: 1
    num_output: 1

    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1

    weight_filler{
      type: 'constant'
      value: 1
    }
    bias_filler {
      type: 'constant'
      value: 0
    }
  }
}


layer {
  type: "InnerProduct"
  name: "sum"
  bottom: "conv_1"
  top: "sum_1"
  inner_product_param {
    num_output: 1

    weight_filler {
      type: "constant"
      value: 1
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}

layer {
  type: "InnerProduct"
  name: "sum"
  bottom: "conv_2"
  top: "sum_2"
  inner_product_param {
    num_output: 1

    weight_filler {
      type: "constant"
      value: 1
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}

layer {
  type: "Concat"
  name: "concat"
  bottom: "sum_1"
  bottom: "sum_2"
  top: "sum"
}