Struct tensorflow::eager::raw_ops::CudnnRNNBackprop

pub struct CudnnRNNBackprop { /* private fields */ }

CudnnRNNBackprop

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

Implementations

impl CudnnRNNBackprop

pub fn new() -> Self

Creates a new CudnnRNNBackprop.

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

Sets the rnn_mode attribute.

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

Sets the input_mode attribute.

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

Sets the direction attribute.

pub fn dropout<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the dropout attribute.

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

Sets the seed attribute.

pub fn seed2<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the seed2 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>, T9: ToTensorHandle<'a>, T10: ToTensorHandle<'a>>( &self, ctx: &'a Context, input: &T0, input_h: &T1, input_c: &T2, params: &T3, output: &T4, output_h: &T5, output_c: &T6, output_backprop: &T7, output_h_backprop: &T8, output_c_backprop: &T9, reserve_space: &T10 ) -> Result<[TensorHandle<'a>; 4]>

Execute cudnn_rnnbackprop.

Trait Implementations

impl Clone for CudnnRNNBackprop

fn clone(&self) -> CudnnRNNBackprop

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CudnnRNNBackprop

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

Formats the value using the given formatter.

impl Default for CudnnRNNBackprop

fn default() -> Self

Returns the “default value” for a type.