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

op {
  name: "QuantizedReluX"
  input_arg {
    name: "features"
    type_attr: "Tinput"
  }
  input_arg {
    name: "max_value"
    type: DT_FLOAT
  }
  input_arg {
    name: "min_features"
    type: DT_FLOAT
  }
  input_arg {
    name: "max_features"
    type: DT_FLOAT
  }
  output_arg {
    name: "activations"
    type_attr: "out_type"
  }
  output_arg {
    name: "min_activations"
    type: DT_FLOAT
  }
  output_arg {
    name: "max_activations"
    type: DT_FLOAT
  }
  attr {
    name: "Tinput"
    type: "type"
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT16
        type: DT_QUINT16
        type: DT_QINT32
      }
    }
  }
  attr {
    name: "out_type"
    type: "type"
    default_value {
      type: DT_QUINT8
    }
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT16
        type: DT_QUINT16
        type: DT_QINT32
      }
    }
  }
}
op {
  name: "QuantizedReluX"
  input_arg {
    name: "features"
    type_attr: "Tinput"
  }
  input_arg {
    name: "max_value"
    type: DT_FLOAT
  }
  input_arg {
    name: "min_features"
    type: DT_FLOAT
  }
  input_arg {
    name: "max_features"
    type: DT_FLOAT
  }
  output_arg {
    name: "activations"
    type_attr: "out_type"
  }
  output_arg {
    name: "min_activations"
    type: DT_FLOAT
  }
  output_arg {
    name: "max_activations"
    type: DT_FLOAT
  }
  attr {
    name: "Tinput"
    type: "type"
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT32
        type: DT_QINT16
        type: DT_QUINT16
      }
    }
  }
  attr {
    name: "out_type"
    type: "type"
    default_value {
      type: DT_QUINT8
    }
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT32
        type: DT_QINT16
        type: DT_QUINT16
      }
    }
  }
}