Struct tensorflow::ops::BatchNormWithGlobalNormalization

pub struct BatchNormWithGlobalNormalization { /* private fields */ }

Builder for the BatchNormWithGlobalNormalization operation.

Implementations

impl BatchNormWithGlobalNormalization

pub fn new() -> Self

Creates a new BatchNormWithGlobalNormalization.

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

Sets the T attribute.

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

Sets the variance_epsilon attribute.

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

Sets the scale_after_normalization 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>>( &self, t: O0, m: O1, v: O2, beta: O3, gamma: O4, scope: &mut Scope ) -> Result<Operation>

Builds the BatchNormWithGlobalNormalization operation.

pub fn build_instance( &self, t: Output, m: Output, v: Output, beta: Output, gamma: Output, scope: &mut Scope ) -> Result<BatchNormWithGlobalNormalizationInst>

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

Trait Implementations

impl Debug for BatchNormWithGlobalNormalization

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

Formats the value using the given formatter.

impl Default for BatchNormWithGlobalNormalization

fn default() -> BatchNormWithGlobalNormalization

Returns the “default value” for a type.