Struct tensorflow::ops::CropAndResize

pub struct CropAndResize { /* private fields */ }

Builder for the CropAndResize operation.

Implementations

impl CropAndResize

pub fn new() -> Self

Creates a new CropAndResize.

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

Sets the T attribute.

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

Sets the method attribute.

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

Sets the extrapolation_value 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>>( &self, image: O0, boxes: O1, box_ind: O2, crop_size: O3, scope: &mut Scope ) -> Result<Operation>

Builds the CropAndResize operation.

pub fn build_instance( &self, image: Output, boxes: Output, box_ind: Output, crop_size: Output, scope: &mut Scope ) -> Result<CropAndResizeInst>

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

Trait Implementations

impl Debug for CropAndResize

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

Formats the value using the given formatter.

impl Default for CropAndResize

fn default() -> CropAndResize

Returns the “default value” for a type.