Struct BatchConfig 

pub struct BatchConfig {
    pub max_batch_size: usize,
    pub batch_timeout: Duration,
    pub workers: usize,
}

How requests are grouped into batches.

Batching is off by default: every request runs its own forward pass at once, as in a hand-written server. Whether merging requests pays depends on the model. A convolutional network on a CPU (or most models on a GPU) runs a batch of 4 in about the time of 2 single passes, and serves more requests with batching on; a transformer on a CPU takes nearly 4 times as long for 4, and merging only makes requests wait. Turn it on with max_batch_size above 1 for models of the first kind (benches/burn measures both).

Fields

max_batch_size: usize

Most items in one forward pass; 1 (the default) turns batching off. A request with more items than this still runs, alone.

batch_timeout: Duration

Longest wait for requests still being received, counted from when the first request of the batch was queued

workers: usize

Forward passes that may run at the same time; requests are merged into batches only while all of them are busy

Implementations

impl BatchConfig

pub fn enabled(&self) -> bool

Trait Implementations

impl Clone for BatchConfig

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for BatchConfig

impl Debug for BatchConfig

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

Formats the value using the given formatter.

impl Default for BatchConfig

fn default() -> Self

Returns the “default value” for a type.

impl Eq for BatchConfig

impl PartialEq for BatchConfig

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for BatchConfig