Struct tensorflow::ops::QuantizedMatMul

pub struct QuantizedMatMul { /* private fields */ }

Builder for the QuantizedMatMul operation.

Implementations

impl QuantizedMatMul

pub fn new() -> Self

Creates a new QuantizedMatMul.

pub fn T1<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T1 attribute.

pub fn T2<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T2 attribute.

pub fn Toutput<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Toutput attribute.

pub fn transpose_a<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the transpose_a attribute.

pub fn transpose_b<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the transpose_b attribute.

pub fn Tactivation<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Tactivation attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>, O5: Into<Output>>( &self, a: O0, b: O1, min_a: O2, max_a: O3, min_b: O4, max_b: O5, scope: &mut Scope ) -> Result<Operation>

Builds the QuantizedMatMul operation.

pub fn build_instance( &self, a: Output, b: Output, min_a: Output, max_a: Output, min_b: Output, max_b: Output, scope: &mut Scope ) -> Result<QuantizedMatMulInst>

Builds a new instance of ‘QuantizedMatMul’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for QuantizedMatMul

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for QuantizedMatMul

fn default() -> QuantizedMatMul

Returns the “default value” for a type.