Struct tensorflow::ops::FakeQuantWithMinMaxVarsPerChannelGradient

pub struct FakeQuantWithMinMaxVarsPerChannelGradient { /* private fields */ }

Builder for the FakeQuantWithMinMaxVarsPerChannelGradient operation.

Implementations

impl FakeQuantWithMinMaxVarsPerChannelGradient

pub fn new() -> Self

Creates a new FakeQuantWithMinMaxVarsPerChannelGradient.

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 add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>>( &self, gradients: O0, inputs: O1, min: O2, max: O3, scope: &mut Scope ) -> Result<Operation>

Builds the FakeQuantWithMinMaxVarsPerChannelGradient operation.

pub fn build_instance( &self, gradients: Output, inputs: Output, min: Output, max: Output, scope: &mut Scope ) -> Result<FakeQuantWithMinMaxVarsPerChannelGradientInst>

Builds a new instance of ‘FakeQuantWithMinMaxVarsPerChannelGradient’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for FakeQuantWithMinMaxVarsPerChannelGradient

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

Formats the value using the given formatter.

impl Default for FakeQuantWithMinMaxVarsPerChannelGradient

fn default() -> FakeQuantWithMinMaxVarsPerChannelGradient

Returns the “default value” for a type.