Struct tensorflow::ops::DecodeAndCropJpeg

pub struct DecodeAndCropJpeg { /* private fields */ }

Builder for the DecodeAndCropJpeg operation.

Implementations

impl DecodeAndCropJpeg

pub fn new() -> Self

Creates a new DecodeAndCropJpeg.

pub fn channels<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the channels attribute.

pub fn ratio<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the ratio attribute.

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

Sets the fancy_upscaling attribute.

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

Sets the try_recover_truncated attribute.

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

Sets the acceptable_fraction attribute.

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

Sets the dct_method attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>>( &self, contents: O0, crop_window: O1, scope: &mut Scope ) -> Result<Operation>

Builds the DecodeAndCropJpeg operation.

pub fn build_instance( &self, contents: Output, crop_window: Output, scope: &mut Scope ) -> Result<DecodeAndCropJpegInst>

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

Trait Implementations

impl Debug for DecodeAndCropJpeg

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

Formats the value using the given formatter.

impl Default for DecodeAndCropJpeg

fn default() -> DecodeAndCropJpeg

Returns the “default value” for a type.