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.
|
