Struct tensorflow::ops::QuantizeAndDequantize

pub struct QuantizeAndDequantize { /* private fields */ }

Builder for the QuantizeAndDequantize operation.

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 T<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>>( &self, input: O0, scope: &mut Scope ) -> Result<Operation>

Builds the QuantizeAndDequantize operation.

pub fn build_instance( &self, input: Output, scope: &mut Scope ) -> Result<QuantizeAndDequantizeInst>

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

Trait Implementations

impl Debug for QuantizeAndDequantize

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

Formats the value using the given formatter.

impl Default for QuantizeAndDequantize

fn default() -> QuantizeAndDequantize

Returns the “default value” for a type.