Struct tensorflow::eager::raw_ops::FakeQuantWithMinMaxVarsPerChannel

pub struct FakeQuantWithMinMaxVarsPerChannel { /* private fields */ }

FakeQuantWithMinMaxVarsPerChannel

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

Implementations

impl FakeQuantWithMinMaxVarsPerChannel

pub fn new() -> Self

Creates a new FakeQuantWithMinMaxVarsPerChannel.

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>>( &self, ctx: &'a Context, inputs: &T0, min: &T1, max: &T2 ) -> Result<TensorHandle<'a>>

Execute fake_quant_with_min_max_vars_per_channel.

Trait Implementations

impl Clone for FakeQuantWithMinMaxVarsPerChannel

fn clone(&self) -> FakeQuantWithMinMaxVarsPerChannel

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for FakeQuantWithMinMaxVarsPerChannel

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

Formats the value using the given formatter.

impl Default for FakeQuantWithMinMaxVarsPerChannel

fn default() -> Self

Returns the “default value” for a type.