Struct tensorflow::eager::raw_ops::QuantizeV2

pub struct QuantizeV2 { /* private fields */ }

QuantizeV2

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizeV2

Implementations

impl QuantizeV2

pub fn new() -> Self

Creates a new QuantizeV2.

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

Sets the T attribute.

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

Sets the mode attribute.

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

Sets the round_mode attribute.

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

Sets the narrow_range attribute.

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

Sets the axis attribute.

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

Sets the ensure_minimum_range 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, min_range: &T1, max_range: &T2 ) -> Result<[TensorHandle<'a>; 3]>

Execute quantize_v2.

Trait Implementations

impl Clone for QuantizeV2

fn clone(&self) -> QuantizeV2

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QuantizeV2

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

Formats the value using the given formatter.

impl Default for QuantizeV2

fn default() -> Self

Returns the “default value” for a type.