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tensorplay.distributed.elastic.metrics API

Functions 2

configure

functionFull reference ↗

tensorplay.distributed.elastic.metrics.configure(handler: MetricHandler, group: str | None = None) → None[source]: Route group (or all groups) to handler.

prof

functionFull reference ↗

tensorplay.distributed.elastic.metrics.prof(fn=None, group: str = 'tp_elastic', interval_ms: float = 1000)[source]

Decorator measuring wall time of fn and emitting it as a metric.

Works both bare (@prof) and parameterized (@prof(group=...)).

Classes 1

MetricsConfig

classFull reference ↗

class tensorplay.distributed.elastic.metrics.MetricsConfig(params: dict[str, str] | None = None, default_handler: str = 'console', cfg: dict[str, str] | None = None)[source]: Metric plumbing configuration; maps groups to handler names.

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tensorplay.distributed.elastic.events API

Complete API reference for tensorplay.distributed.elastic.events, including signatures, parameters, examples and members.

tensorplay.distributed.elastic.multiprocessing API

Complete API reference for tensorplay.distributed.elastic.multiprocessing, including signatures, parameters, examples and members.

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Functions 2 configure prof Classes 1 MetricsConfig