tf.raw_ops.QuantizedMatMulWithBiasAndDequantize
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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.
|
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Last updated 2022-10-27 UTC.
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