flytekit.Resources#
- class flytekit.Resources(cpu=None, mem=None, gpu=None, ephemeral_storage=None)[source]#
This class is used to specify both resource requests and resource limits.
Resources(cpu="1", mem="2048") # This is 1 CPU and 2 KB of memory Resources(cpu="100m", mem="2Gi") # This is 1/10th of a CPU and 2 gigabytes of memory Resources(cpu=0.5, mem=1024) # This is 500m CPU and 1 KB of memory # For Kubernetes-based tasks, pods use ephemeral local storage for scratch space, caching, and for logs. # This allocates 1Gi of such local storage. Resources(ephemeral_storage="1Gi")
Note
Persistent storage is not currently supported on the Flyte backend.
Please see the User Guide for detailed examples. Also refer to the K8s conventions.
Methods
- Parameters:
- classmethod from_dict(d, *, dialect=None)#
- classmethod from_json(data, decoder=<function loads>, **from_dict_kwargs)#
- to_dict()#
- to_json(encoder=<function dumps>, **to_dict_kwargs)#
Attributes