Struct tensorflow::ops::FusedBatchNormGradV2

pub struct FusedBatchNormGradV2 { /* private fields */ }

Builder for the FusedBatchNormGradV2 operation.

Implementations

impl FusedBatchNormGradV2

pub fn new() -> Self

Creates a new FusedBatchNormGradV2.

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

Sets the T attribute.

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

Sets the U attribute.

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

Sets the epsilon attribute.

pub fn data_format<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the data_format attribute.

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

Sets the is_training 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, y_backprop: O0, x: O1, scale: O2, reserve_space_1: O3, reserve_space_2: O4, scope: &mut Scope ) -> Result<Operation>

Builds the FusedBatchNormGradV2 operation.

pub fn build_instance( &self, y_backprop: Output, x: Output, scale: Output, reserve_space_1: Output, reserve_space_2: Output, scope: &mut Scope ) -> Result<FusedBatchNormGradV2Inst>

Builds a new instance of ‘FusedBatchNormGradV2’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for FusedBatchNormGradV2

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

Formats the value using the given formatter.

impl Default for FusedBatchNormGradV2

fn default() -> FusedBatchNormGradV2

Returns the “default value” for a type.