Dynamic Batcher

model_navigator.api.triton.DynamicBatcher dataclass

Dynamic batching configuration.

Read more in Triton Inference server model configuration

Parameters:

• max_queue_delay_microseconds (int, default: 0 ) –

  The maximum time, in microseconds, a request will be delayed in the scheduling queue to wait for additional requests for batching.

• preferred_batch_size (Optional[list], default: None ) –

  Preferred batch sizes for dynamic batching.

• preserve_ordering –

  Should the dynamic batcher preserve the ordering of responses to match the order of requests received by the scheduler.

• priority_levels (int, default: 0 ) –

  The number of priority levels to be enabled for the model.

• default_priority_level (int, default: 0 ) –

  The priority level used for requests that don't specify their priority.

• default_queue_policy (Optional[QueuePolicy], default: None ) –

  The default queue policy used for requests.

• priority_queue_policy (Optional[Dict[int, QueuePolicy]], default: None ) –

  Specify the queue policy for the priority level.

model_navigator.api.triton.QueuePolicy dataclass

Model queue policy configuration.

Used for default_queue_policy and priority_queue_policy fields in DynamicBatcher configuration.

Read more in Triton Inference server model configuration

Parameters:

• timeout_action (TimeoutAction, default: REJECT ) –

  The action applied to timed-out request.

• default_timeout_microseconds (int, default: 0 ) –

  The default timeout for every request, in microseconds.

• allow_timeout_override (bool, default: False ) –

  Whether individual request can override the default timeout value.

• max_queue_size (int, default: 0 ) –

  The maximum queue size for holding requests.

model_navigator.api.triton.TimeoutAction

Bases: Enum

Timeout action definition for timeout_action QueuePolicy field.

Read more in Triton Inference server model configuration

Parameters:

• REJECT –

  "REJECT"

• DELAY –

  "DELAY"