Struct tensorflow::eager::raw_ops::QuantizeAndDequantize

pub struct QuantizeAndDequantize { /* private fields */ }

QuantizeAndDequantize

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

Implementations

impl QuantizeAndDequantize

pub fn new() -> Self

Creates a new QuantizeAndDequantize.

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

Sets the signed_input attribute.

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

Sets the num_bits attribute.

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

Sets the range_given attribute.

pub fn input_min<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the input_min attribute.

pub fn input_max<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the input_max attribute.

pub fn target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>>( &self, ctx: &'a Context, input: &T0 ) -> Result<TensorHandle<'a>>

Execute quantize_and_dequantize.

Trait Implementations

impl Clone for QuantizeAndDequantize

fn clone(&self) -> QuantizeAndDequantize

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QuantizeAndDequantize

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

Formats the value using the given formatter.

impl Default for QuantizeAndDequantize

fn default() -> Self

Returns the “default value” for a type.