Struct tensorflow::ops::Conv2DBackpropInput

pub struct Conv2DBackpropInput { /* private fields */ }

Builder for the Conv2DBackpropInput operation.

Implementations

impl Conv2DBackpropInput

pub fn new() -> Self

Creates a new Conv2DBackpropInput.

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

Sets the T attribute.

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

Sets the strides attribute.

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

Sets the use_cudnn_on_gpu attribute.

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

Sets the padding attribute.

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

Sets the explicit_paddings attribute.

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

Sets the data_format attribute.

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

Sets the dilations 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_sizes: O0, filter: O1, out_backprop: O2, scope: &mut Scope ) -> Result<Operation>

Builds the Conv2DBackpropInput operation.

pub fn build_instance( &self, input_sizes: Output, filter: Output, out_backprop: Output, scope: &mut Scope ) -> Result<Conv2DBackpropInputInst>

Builds a new instance of ‘Conv2DBackpropInput’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for Conv2DBackpropInput

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

Formats the value using the given formatter.

impl Default for Conv2DBackpropInput

fn default() -> Conv2DBackpropInput

Returns the “default value” for a type.