ray.available_resources#
- ray.available_resources()[source]#
Get the current available cluster resources.
This is different from
cluster_resources
in that this will return idle (available) resources rather than total resources.Note that this information can grow stale as tasks start and finish.
- Returns:
- A dictionary mapping resource name to the total quantity of that
resource in the cluster. Note that if a resource (e.g., “CPU”) is currently not available (i.e., quantity is 0), it will not be included in this dictionary.
DeveloperAPI: This API may change across minor Ray releases.