Struct tensorflow::eager::raw_ops::FusedBatchNormGrad

pub struct FusedBatchNormGrad { /* private fields */ }

FusedBatchNormGrad

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/FusedBatchNormGrad

Implementations

impl FusedBatchNormGrad

pub fn new() -> Self

Creates a new FusedBatchNormGrad.

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 target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>>( &self, ctx: &'a Context, y_backprop: &T0, x: &T1, scale: &T2, reserve_space_1: &T3, reserve_space_2: &T4 ) -> Result<[TensorHandle<'a>; 5]>

Execute fused_batch_norm_grad.

Trait Implementations

impl Clone for FusedBatchNormGrad

fn clone(&self) -> FusedBatchNormGrad

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FusedBatchNormGrad

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

Formats the value using the given formatter.

impl Default for FusedBatchNormGrad

fn default() -> Self

Returns the “default value” for a type.