Struct tensorflow::ops::QuantizedBiasAdd

pub struct QuantizedBiasAdd { /* private fields */ }

Builder for the QuantizedBiasAdd operation.

Implementations

impl QuantizedBiasAdd

pub fn new() -> Self

Creates a new QuantizedBiasAdd.

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 out_type<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the out_type 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, input: O0, bias: O1, min_input: O2, max_input: O3, min_bias: O4, max_bias: O5, scope: &mut Scope ) -> Result<Operation>

Builds the QuantizedBiasAdd operation.

pub fn build_instance( &self, input: Output, bias: Output, min_input: Output, max_input: Output, min_bias: Output, max_bias: Output, scope: &mut Scope ) -> Result<QuantizedBiasAddInst>

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

Trait Implementations

impl Debug for QuantizedBiasAdd

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

Formats the value using the given formatter.

impl Default for QuantizedBiasAdd

fn default() -> QuantizedBiasAdd

Returns the “default value” for a type.