tensorflow/core/ops/compat/ops_history_v1/LRNGrad.pbtxt

op {
  name: "LRNGrad"
  input_arg {
    name: "input_grads"
    type_attr: "T"
  }
  input_arg {
    name: "input_image"
    type_attr: "T"
  }
  input_arg {
    name: "output_image"
    type_attr: "T"
  }
  output_arg {
    name: "output"
    type_attr: "T"
  }
  attr {
    name: "depth_radius"
    type: "int"
    default_value {
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    }
  }
  attr {
    name: "bias"
    type: "float"
    default_value {
      f: 1
    }
  }
  attr {
    name: "alpha"
    type: "float"
    default_value {
      f: 1
    }
  }
  attr {
    name: "beta"
    type: "float"
    default_value {
      f: 0.5
    }
  }
  attr {
    name: "T"
    type: "type"
    default_value {
      type: DT_FLOAT
    }
    allowed_values {
      list {
        type: DT_FLOAT
        type: DT_HALF
      }
    }
  }
}
op {
  name: "LRNGrad"
  input_arg {
    name: "input_grads"
    type_attr: "T"
  }
  input_arg {
    name: "input_image"
    type_attr: "T"
  }
  input_arg {
    name: "output_image"
    type_attr: "T"
  }
  output_arg {
    name: "output"
    type_attr: "T"
  }
  attr {
    name: "depth_radius"
    type: "int"
    default_value {
      i: 5
    }
  }
  attr {
    name: "bias"
    type: "float"
    default_value {
      f: 1
    }
  }
  attr {
    name: "alpha"
    type: "float"
    default_value {
      f: 1
    }
  }
  attr {
    name: "beta"
    type: "float"
    default_value {
      f: 0.5
    }
  }
  attr {
    name: "T"
    type: "type"
    default_value {
      type: DT_FLOAT
    }
    allowed_values {
      list {
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        type: DT_BFLOAT16
        type: DT_FLOAT
      }
    }
  }
}