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

op {
  name: "QuantizedMatMulWithBiasAndRelu"
  input_arg {
    name: "a"
    type_attr: "T1"
  }
  input_arg {
    name: "b"
    type_attr: "T2"
  }
  input_arg {
    name: "bias"
    type: DT_FLOAT
  }
  input_arg {
    name: "min_a"
    type: DT_FLOAT
  }
  input_arg {
    name: "max_a"
    type: DT_FLOAT
  }
  input_arg {
    name: "min_b"
    type: DT_FLOAT
  }
  input_arg {
    name: "max_b"
    type: DT_FLOAT
  }
  output_arg {
    name: "out"
    type_attr: "Toutput"
  }
  output_arg {
    name: "min_out"
    type: DT_FLOAT
  }
  output_arg {
    name: "max_out"
    type: DT_FLOAT
  }
  attr {
    name: "T1"
    type: "type"
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT32
        type: DT_QINT16
        type: DT_QUINT16
      }
    }
  }
  attr {
    name: "T2"
    type: "type"
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT32
        type: DT_QINT16
        type: DT_QUINT16
      }
    }
  }
  attr {
    name: "Toutput"
    type: "type"
    default_value {
      type: DT_QINT32
    }
    allowed_values {
      list {
        type: DT_QINT8
        type: DT_QUINT8
        type: DT_QINT32
        type: DT_QINT16
        type: DT_QUINT16
      }
    }
  }
  attr {
    name: "transpose_a"
    type: "bool"
    default_value {
      b: false
    }
  }
  attr {
    name: "transpose_b"
    type: "bool"
    default_value {
      b: false
    }
  }
  attr {
    name: "input_quant_mode"
    type: "string"
    default_value {
      s: "MIN_FIRST"
    }
    allowed_values {
      list {
        s: "MIN_FIRST"
        s: "SCALED"
      }
    }
  }
}