Struct tensorflow::ops::FusedBatchNormGrad

pub struct FusedBatchNormGrad { /* private fields */ }

Builder for the FusedBatchNormGrad operation.

Implementations

impl FusedBatchNormGrad

pub fn new() -> Self

Creates a new FusedBatchNormGrad.

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

Sets the T 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 FusedBatchNormGrad 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<FusedBatchNormGradInst>

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

Trait Implementations

impl Debug for FusedBatchNormGrad

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

Formats the value using the given formatter.

impl Default for FusedBatchNormGrad

fn default() -> FusedBatchNormGrad

Returns the “default value” for a type.