Struct tensorflow::eager::raw_ops::ScaleAndTranslateGrad

pub struct ScaleAndTranslateGrad { /* private fields */ }

ScaleAndTranslateGrad

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

Implementations

impl ScaleAndTranslateGrad

pub fn new() -> Self

Creates a new ScaleAndTranslateGrad.

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

Sets the kernel_type attribute.

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

Sets the antialias 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>>( &self, ctx: &'a Context, grads: &T0, original_image: &T1, scale: &T2, translation: &T3 ) -> Result<TensorHandle<'a>>

Execute scale_and_translate_grad.

Trait Implementations

impl Clone for ScaleAndTranslateGrad

fn clone(&self) -> ScaleAndTranslateGrad

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ScaleAndTranslateGrad

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

Formats the value using the given formatter.

impl Default for ScaleAndTranslateGrad

fn default() -> Self

Returns the “default value” for a type.