Struct tensorflow::ops::QuantizedInstanceNorm

pub struct QuantizedInstanceNorm { /* private fields */ }

Builder for the QuantizedInstanceNorm operation.

Implementations

impl QuantizedInstanceNorm

pub fn new() -> Self

Creates a new QuantizedInstanceNorm.

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

Sets the T attribute.

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

Sets the output_range_given attribute.

pub fn given_y_min<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the given_y_min attribute.

pub fn given_y_max<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the given_y_max attribute.

pub fn variance_epsilon<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the variance_epsilon attribute.

pub fn min_separation<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the min_separation 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>>(
    &self,
    x: O0,
    x_min: O1,
    x_max: O2,
    scope: &mut Scope
) -> Result<Operation>

Builds the QuantizedInstanceNorm operation.

pub fn build_instance(
    &self,
    x: Output,
    x_min: Output,
    x_max: Output,
    scope: &mut Scope
) -> Result<QuantizedInstanceNormInst>

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

Trait Implementations

impl Debug for QuantizedInstanceNorm

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

Formats the value using the given formatter.

impl Default for QuantizedInstanceNorm

fn default() -> QuantizedInstanceNorm

Returns the “default value” for a type.