tf.raw_ops.QuantizedMatMulWithBiasAndDequantize

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

aA Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
bA Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
biasA Tensor. Must be one of the following types: float32, qint32.
min_aA Tensor of type float32.
max_aA Tensor of type float32.
min_bA Tensor of type float32.
max_bA Tensor of type float32.
min_freezed_outputA Tensor of type float32.
max_freezed_outputA Tensor of type float32.
ToutputA tf.DType from: tf.float32.
transpose_aAn optional bool. Defaults to False.
transpose_bAn optional bool. Defaults to False.
input_quant_modeAn optional string from: "MIN_FIRST", "SCALED". Defaults to "MIN_FIRST".
nameA name for the operation (optional).

A Tensor of type Toutput.