tf.raw_ops.QuantizedMatMulWithBiasAndRequantize

tf.raw_ops.QuantizedMatMulWithBiasAndRequantize(
    a,
    b,
    bias,
    min_a,
    max_a,
    min_b,
    max_b,
    min_freezed_output,
    max_freezed_output,
    Toutput=tf.dtypes.quint8,
    transpose_a=False,
    transpose_b=False,
    input_quant_mode='MIN_FIRST',
    name=None
)

a A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. b A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. bias A Tensor. Must be one of the following types: float32, qint32. min_a A Tensor of type float32. max_a A Tensor of type float32. min_b A Tensor of type float32. max_b A Tensor of type float32. min_freezed_output A Tensor of type float32. max_freezed_output A Tensor of type float32. Toutput An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.quint8. transpose_a An optional bool. Defaults to False. transpose_b An optional bool. Defaults to False. input_quant_mode An optional string from: "MIN_FIRST", "SCALED". Defaults to "MIN_FIRST". name A name for the operation (optional).