Struct tensorflow::eager::raw_ops::UniformDequantize

pub struct UniformDequantize { /* private fields */ }

UniformDequantize

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

Implementations

impl UniformDequantize

pub fn new() -> Self

Creates a new UniformDequantize.

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_dequantize.

Trait Implementations

impl Clone for UniformDequantize

fn clone(&self) -> UniformDequantize

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UniformDequantize

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

Formats the value using the given formatter.

impl Default for UniformDequantize

fn default() -> Self

Returns the “default value” for a type.