Struct tensorflow::ops::QuantizeAndDequantizeV2

pub struct QuantizeAndDequantizeV2 { /* private fields */ }

Builder for the QuantizeAndDequantizeV2 operation.

Implementations

impl QuantizeAndDequantizeV2

pub fn new() -> Self

Creates a new QuantizeAndDequantizeV2.

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

Sets the T attribute.

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

Sets the round_mode 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 add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>>( &self, input: O0, input_min: O1, input_max: O2, scope: &mut Scope ) -> Result<Operation>

Builds the QuantizeAndDequantizeV2 operation.

pub fn build_instance( &self, input: Output, input_min: Output, input_max: Output, scope: &mut Scope ) -> Result<QuantizeAndDequantizeV2Inst>

Builds a new instance of ‘QuantizeAndDequantizeV2’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for QuantizeAndDequantizeV2

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

Formats the value using the given formatter.

impl Default for QuantizeAndDequantizeV2

fn default() -> QuantizeAndDequantizeV2

Returns the “default value” for a type.