Slot: batch_mode

How the per-subject fits are executed. fan_out (default) runs one per-subject job, each binding its own targets at run time. on_device evaluates the whole cohort together as one vectorised batch on a single device — the subject axis mapped in parallel while the shared network is reused across subjects. Backend-independent intent: the scientific spec is identical either way; only the execution strategy differs (a backend realises the batch with its own vectorised-map primitive).

URI: tvbo_study:slot/batch_mode

Applicable Classes

Name Description Modifies Slot
Dataset A collection of subjects for a multi-subject study no
DBSDataset Collection of data related to a specific DBS study no

Properties

Type and Range

Property Value
Range SubjectBatchMode
Domain Of Dataset

Cardinality and Requirements

Property Value

Slot Characteristics

Property Value
If Absent string(fan_out)
Owner Dataset

Identifier and Mapping Information

Schema Source

  • from schema: https://w3id.org/tvbo/study

Mappings

Mapping Type Mapped Value
self tvbo_study:batch_mode
native tvbo_study:batch_mode

LinkML Source

name: batch_mode
description: 'How the per-subject fits are executed. ``fan_out`` (default) runs one
  per-subject job, each binding its own targets at run time. ``on_device`` evaluates
  the whole cohort together as one vectorised batch on a single device — the subject
  axis mapped in parallel while the shared network is reused across subjects. Backend-independent
  intent: the scientific spec is identical either way; only the execution strategy
  differs (a backend realises the batch with its own vectorised-map primitive).'
from_schema: https://w3id.org/tvbo/study
rank: 1000
ifabsent: string(fan_out)
owner: Dataset
domain_of:
- Dataset
range: SubjectBatchMode