Struct tensorflow::eager::raw_ops::UniformQuantize

pub struct UniformQuantize { /* private fields */ }

UniformQuantize

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

Implementations

impl UniformQuantize

pub fn new() -> Self

Creates a new UniformQuantize.

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

Sets the Tout attribute.

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

Sets the quantization_axis attribute.

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

Sets the quantization_min_val attribute.

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

Sets the quantization_max_val 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, scales: &T1, zero_points: &T2 ) -> Result<TensorHandle<'a>>

Execute uniform_quantize.

Trait Implementations

impl Clone for UniformQuantize

fn clone(&self) -> UniformQuantize

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UniformQuantize

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

Formats the value using the given formatter.

impl Default for UniformQuantize

fn default() -> Self

Returns the “default value” for a type.