Struct tensorflow::eager::raw_ops::QuantizedMatMulWithBiasAndDequantize

pub struct QuantizedMatMulWithBiasAndDequantize { /* private fields */ }

QuantizedMatMulWithBiasAndDequantize

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

Implementations

impl QuantizedMatMulWithBiasAndDequantize

pub fn new() -> Self

Creates a new QuantizedMatMulWithBiasAndDequantize.

pub fn Toutput<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Toutput attribute.

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

Sets the transpose_a attribute.

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

Sets the transpose_b attribute.

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

Sets the input_quant_mode 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>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>, T8: ToTensorHandle<'a>>( &self, ctx: &'a Context, a: &T0, b: &T1, bias: &T2, min_a: &T3, max_a: &T4, min_b: &T5, max_b: &T6, min_freezed_output: &T7, max_freezed_output: &T8 ) -> Result<TensorHandle<'a>>

Execute quantized_mat_mul_with_bias_and_dequantize.

Trait Implementations

impl Clone for QuantizedMatMulWithBiasAndDequantize

fn clone(&self) -> QuantizedMatMulWithBiasAndDequantize

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QuantizedMatMulWithBiasAndDequantize

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

Formats the value using the given formatter.

impl Default for QuantizedMatMulWithBiasAndDequantize

fn default() -> Self

Returns the “default value” for a type.