Struct tensorflow::eager::raw_ops::FusedBatchNorm

pub struct FusedBatchNorm { /* private fields */ }

FusedBatchNorm

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

Implementations

impl FusedBatchNorm

pub fn new() -> Self

Creates a new FusedBatchNorm.

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

Sets the epsilon attribute.

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

Sets the exponential_avg_factor 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, x: &T0, scale: &T1, offset: &T2, mean: &T3, variance: &T4 ) -> Result<[TensorHandle<'a>; 5]>

Execute fused_batch_norm.

Trait Implementations

impl Clone for FusedBatchNorm

fn clone(&self) -> FusedBatchNorm

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for FusedBatchNorm

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

Formats the value using the given formatter.

impl Default for FusedBatchNorm

fn default() -> Self

Returns the “default value” for a type.