Enum coaster_nn::RnnAlgorithm

pub enum RnnAlgorithm {
    Standard,
    PersistStatic,
    PersistDynamic,
    Count,
}

Algorithm for RNN [cudnnRNNAlgo_t][1] [1]: https://docs.nvidia.com/deeplearning/sdk/cudnn-api/index.html#cudnnRNNAlgo_t

Persist Static requires v6+

Variants

Standard

Sequence of Operations for each RNN Layer

PersistStatic

Uses a Persistent Kernel - fast when the first D of the input is small

PersistDynamic

RNN parts use a persistent kernel. Fast when the first dimension is small, and when it can reuse plans in repeated calls.

Count

Count - Cannot find in docs but is in Generated - FIXME

Trait Implementations

impl Clone for RnnAlgorithm

fn clone(&self) -> RnnAlgorithm

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RnnAlgorithm

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

Formats the value using the given formatter.

impl Display for RnnAlgorithm

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

Formats the value using the given formatter.

impl PartialEq for RnnAlgorithm

fn eq(&self, other: &RnnAlgorithm) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for RnnAlgorithm

impl Eq for RnnAlgorithm

impl StructuralPartialEq for RnnAlgorithm