Struct tensorflow::eager::raw_ops::QuantizeDownAndShrinkRange

pub struct QuantizeDownAndShrinkRange { /* private fields */ }

QuantizeDownAndShrinkRange

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

Implementations

impl QuantizeDownAndShrinkRange

pub fn new() -> Self

Creates a new QuantizeDownAndShrinkRange.

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

Sets the out_type 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>>( &self, ctx: &'a Context, input: &T0, input_min: &T1, input_max: &T2 ) -> Result<[TensorHandle<'a>; 3]>

Execute quantize_down_and_shrink_range.

Trait Implementations

impl Clone for QuantizeDownAndShrinkRange

fn clone(&self) -> QuantizeDownAndShrinkRange

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QuantizeDownAndShrinkRange

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

Formats the value using the given formatter.

impl Default for QuantizeDownAndShrinkRange

fn default() -> Self

Returns the “default value” for a type.