model {
  main {
    operands {
      operand {
        type: TENSOR_FLOAT32
        dimensions {
          dimension: 6
        }
        channel_quant {
          scales {
          }
        }
        data {
          random_seed: 797982799
        }
      }
      operand {
        type: INT32
        dimensions {
        }
        lifetime: CONSTANT_COPY
        channel_quant {
          scales {
          }
        }
        data {
          scalar: 2
        }
      }
      operand {
        dimensions {
        }
        lifetime: CONSTANT_COPY
        channel_quant {
          scales {
          }
        }
        data {
          scalar: 1091567616
        }
      }
      operand {
        dimensions {
        }
        lifetime: CONSTANT_COPY
        channel_quant {
          scales {
          }
        }
        data {
          scalar: 1082130432
        }
      }
      operand {
        dimensions {
        }
        lifetime: CONSTANT_COPY
        channel_quant {
          scales {
          }
        }
        data {
          scalar: 1056964608
        }
      }
      operand {
        type: TENSOR_FLOAT32
        dimensions {
          dimension: 6
        }
        lifetime: SUBGRAPH_OUTPUT
        channel_quant {
          scales {
          }
        }
        data {
          random_seed: 1615962283
        }
      }
      operand {
        type: TENSOR_FLOAT32
        dimensions {
          dimension: 6
        }
        lifetime: SUBGRAPH_INPUT
        channel_quant {
          scales {
          }
        }
        data {
          random_seed: 2011043472
        }
      }
      operand {
        type: TENSOR_FLOAT32
        dimensions {
          dimension: 1
        }
        lifetime: CONSTANT_COPY
        channel_quant {
          scales {
          }
        }
        data {
          scalar: 0
        }
      }
      operand {
        type: INT32
        dimensions {
        }
        lifetime: CONSTANT_COPY
        channel_quant {
          scales {
          }
        }
        data {
          scalar: 0
        }
      }
    }
    operations {
      operation {
        inputs {
          index: 6
          index: 7
          index: 8
        }
        outputs {
          index: 0
        }
      }
      operation {
        type: LOCAL_RESPONSE_NORMALIZATION
        inputs {
          index: 0
          index: 1
          index: 2
          index: 3
          index: 4
        }
        outputs {
          index: 5
        }
      }
    }
    input_indexes {
      index: 6
    }
    output_indexes {
      index: 5
    }
  }
  referenced {
  }
}