tf.raw_ops.QuantizedMatMulWithBiasAndRequantize

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Compat aliases for migration

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tf.compat.v1.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
)

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	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).

Returns
A tuple of Tensor objects (out, min_out, max_out).
out	A Tensor of type Toutput.
min_out	A Tensor of type float32.
max_out	A Tensor of type float32.