Struct tensorflow::ops::QuantizedMatMulWithBiasAndRelu

pub struct QuantizedMatMulWithBiasAndRelu { /* private fields */ }

Builder for the QuantizedMatMulWithBiasAndRelu operation.

Implementations

impl QuantizedMatMulWithBiasAndRelu

pub fn new() -> Self

Creates a new QuantizedMatMulWithBiasAndRelu.

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 input_quant_mode<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the input_quant_mode 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>, O6: Into<Output>>( &self, a: O0, b: O1, bias: O2, min_a: O3, max_a: O4, min_b: O5, max_b: O6, scope: &mut Scope ) -> Result<Operation>

Builds the QuantizedMatMulWithBiasAndRelu operation.

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

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

Trait Implementations

impl Debug for QuantizedMatMulWithBiasAndRelu

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

Formats the value using the given formatter.

impl Default for QuantizedMatMulWithBiasAndRelu

fn default() -> QuantizedMatMulWithBiasAndRelu

Returns the “default value” for a type.