reference/generated/torchrl.record.loggers.Logger

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Logger

torchrl.record.loggers.Logger(*args, use_ray_service=False, service_backend=None, service_backend_options=None, **kwargs)

A template for loggers.

Keyword Arguments:

• service_backend (str) – Deployment backend. One of "direct", "process", or "ray". Defaults to "direct".

• service_backend_options (dict, optional) – Backend options. Process services accept context/mp_context, max_queue_size, and startup_timeout. Ray services accept actor_options and ray_init_config.

• use_ray_service (bool) – If True, the logger runs as a Ray actor in a separate process. Deprecated in favor of service_backend="ray" and scheduled for removal in v0.16. Defaults to False.

• ray_actor_options (dict, optional) – Options passed to ray.remote() when creating the Ray actor (e.g., {"num_cpus": 1}). Only used when use_ray_service=True.