Struct tensorflow::eager::raw_ops::FakeQuantWithMinMaxVarsGradient

pub struct FakeQuantWithMinMaxVarsGradient { /* private fields */ }

FakeQuantWithMinMaxVarsGradient

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

Implementations

impl FakeQuantWithMinMaxVarsGradient

pub fn new() -> Self

Creates a new FakeQuantWithMinMaxVarsGradient.

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

Sets the num_bits attribute.

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

Sets the narrow_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>, T3: ToTensorHandle<'a>>( &self, ctx: &'a Context, gradients: &T0, inputs: &T1, min: &T2, max: &T3 ) -> Result<[TensorHandle<'a>; 3]>

Execute fake_quant_with_min_max_vars_gradient.

Trait Implementations

impl Clone for FakeQuantWithMinMaxVarsGradient

fn clone(&self) -> FakeQuantWithMinMaxVarsGradient

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for FakeQuantWithMinMaxVarsGradient

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

Formats the value using the given formatter.

impl Default for FakeQuantWithMinMaxVarsGradient

fn default() -> Self

Returns the “default value” for a type.