Struct tensorflow::eager::raw_ops::QuantizedConv2DWithBiasSumAndRelu

pub struct QuantizedConv2DWithBiasSumAndRelu { /* private fields */ }

QuantizedConv2DWithBiasSumAndRelu

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedConv2DWithBiasSumAndRelu

Implementations

impl QuantizedConv2DWithBiasSumAndRelu

pub fn new() -> Self

Creates a new QuantizedConv2DWithBiasSumAndRelu.

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

Sets the out_type attribute.

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

Sets the strides attribute.

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

Sets the padding attribute.

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

Sets the dilations attribute.

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

Sets the padding_list 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>>( &self, ctx: &'a Context, input: &T0, filter: &T1, bias: &T2, min_input: &T3, max_input: &T4, min_filter: &T5, max_filter: &T6, summand: &T7 ) -> Result<[TensorHandle<'a>; 3]>

Execute quantized_conv2_dwith_bias_sum_and_relu.

Trait Implementations

impl Clone for QuantizedConv2DWithBiasSumAndRelu

fn clone(&self) -> QuantizedConv2DWithBiasSumAndRelu

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for QuantizedConv2DWithBiasSumAndRelu

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

Formats the value using the given formatter.

impl Default for QuantizedConv2DWithBiasSumAndRelu

fn default() -> Self

Returns the “default value” for a type.