Struct tensorflow::eager::raw_ops::CudnnRNNCanonicalToParamsV2

pub struct CudnnRNNCanonicalToParamsV2 { /* private fields */ }

CudnnRNNCanonicalToParamsV2

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/CudnnRNNCanonicalToParamsV2

Implementations

impl CudnnRNNCanonicalToParamsV2

pub fn new() -> Self

Creates a new CudnnRNNCanonicalToParamsV2.

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 num_proj<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the num_proj 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>>( &self, ctx: &'a Context, num_layers: &T0, num_units: &T1, input_size: &T2, weights: &[&T3], biases: &[&T4] ) -> Result<TensorHandle<'a>>

Execute cudnn_rnncanonical_to_params_v2.

Trait Implementations

impl Clone for CudnnRNNCanonicalToParamsV2

fn clone(&self) -> CudnnRNNCanonicalToParamsV2

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CudnnRNNCanonicalToParamsV2

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

Formats the value using the given formatter.

impl Default for CudnnRNNCanonicalToParamsV2

fn default() -> Self

Returns the “default value” for a type.