tensorflow::ops::QuantizedMatMul::Attrs

#include <math_ops.h>

Optional attribute setters for QuantizedMatMul.

Summary

Public functions
`Tactivation(DataType x)`	`TF_MUST_USE_RESULT Attrs` The type of output produced by activation function following this operation.
`Toutput(DataType x)`	`TF_MUST_USE_RESULT Attrs` Defaults to DT_QINT32.
`TransposeA(bool x)`	`TF_MUST_USE_RESULT Attrs` If true, `a` is transposed before multiplication.
`TransposeB(bool x)`	`TF_MUST_USE_RESULT Attrs` If true, `b` is transposed before multiplication.

DataType tensorflow::ops::QuantizedMatMul::Attrs::Tactivation_ = DT_QUINT8

DataType tensorflow::ops::QuantizedMatMul::Attrs::Toutput_ = DT_QINT32

bool tensorflow::ops::QuantizedMatMul::Attrs::transpose_a_ = false

bool tensorflow::ops::QuantizedMatMul::Attrs::transpose_b_ = false

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedMatMul::Attrs::Tactivation(
  DataType x
)

The type of output produced by activation function following this operation.

Defaults to DT_QUINT8

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedMatMul::Attrs::Toutput(
  DataType x
)

Defaults to DT_QINT32.

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedMatMul::Attrs::TransposeA(
  bool x
)

If true, a is transposed before multiplication.

Defaults to false

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedMatMul::Attrs::TransposeB(
  bool x
)

If true, b is transposed before multiplication.

Defaults to false