tf.raw_ops.QuantizedMatMulWithBiasAndDequantize

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.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
)

Args
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	A tf.DType from: tf.float32.
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).

Returns
A Tensor of type Toutput.