Struct tensorflow::eager::raw_ops::QuantizeAndDequantizeV3

pub struct QuantizeAndDequantizeV3 { /* private fields */ }

QuantizeAndDequantizeV3

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizeAndDequantizeV3

Implementations

impl QuantizeAndDequantizeV3

pub fn new() -> Self

Creates a new QuantizeAndDequantizeV3.

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

Sets the signed_input attribute.

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

Sets the range_given 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 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, input: &T0, input_min: &T1, input_max: &T2, num_bits: &T3 ) -> Result<TensorHandle<'a>>

Execute quantize_and_dequantize_v3.

Trait Implementations

impl Clone for QuantizeAndDequantizeV3

fn clone(&self) -> QuantizeAndDequantizeV3

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QuantizeAndDequantizeV3

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

Formats the value using the given formatter.

impl Default for QuantizeAndDequantizeV3

fn default() -> Self

Returns the “default value” for a type.