Module codeflare_sdk.cluster.config
The config sub-module contains the definition of the ClusterConfiguration dataclass, which is used to specify resource requirements and other details when creating a Cluster object.
Expand source code
# Copyright 2022 IBM, Red Hat
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
The config sub-module contains the definition of the ClusterConfiguration dataclass,
which is used to specify resource requirements and other details when creating a
Cluster object.
"""
from dataclasses import dataclass, field
import pathlib
dir = pathlib.Path(__file__).parent.parent.resolve()
@dataclass
class ClusterConfiguration:
"""
This dataclass is used to specify resource requirements and other details, and
is passed in as an argument when creating a Cluster object.
"""
name: str
namespace: str = None
head_info: list = field(default_factory=list)
head_cpus: int = 2
head_memory: int = 8
head_gpus: int = 0
machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"]
min_cpus: int = 1
max_cpus: int = 1
num_workers: int = 1
min_memory: int = 2
max_memory: int = 2
num_gpus: int = 0
template: str = f"{dir}/templates/base-template.yaml"
instascale: bool = False
envs: dict = field(default_factory=dict)
image: str = "quay.io/project-codeflare/ray:latest-py39-cu118"
local_interactive: bool = False
image_pull_secrets: list = field(default_factory=list)
dispatch_priority: str = None
Classes
class ClusterConfiguration (name: str, namespace: str = None, head_info: list = <factory>, head_cpus: int = 2, head_memory: int = 8, head_gpus: int = 0, machine_types: list = <factory>, min_cpus: int = 1, max_cpus: int = 1, num_workers: int = 1, min_memory: int = 2, max_memory: int = 2, num_gpus: int = 0, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', instascale: bool = False, envs: dict = <factory>, image: str = 'quay.io/project-codeflare/ray:latest-py39-cu118', local_interactive: bool = False, image_pull_secrets: list = <factory>, dispatch_priority: str = None)-
This dataclass is used to specify resource requirements and other details, and is passed in as an argument when creating a Cluster object.
Expand source code
class ClusterConfiguration: """ This dataclass is used to specify resource requirements and other details, and is passed in as an argument when creating a Cluster object. """ name: str namespace: str = None head_info: list = field(default_factory=list) head_cpus: int = 2 head_memory: int = 8 head_gpus: int = 0 machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"] min_cpus: int = 1 max_cpus: int = 1 num_workers: int = 1 min_memory: int = 2 max_memory: int = 2 num_gpus: int = 0 template: str = f"{dir}/templates/base-template.yaml" instascale: bool = False envs: dict = field(default_factory=dict) image: str = "quay.io/project-codeflare/ray:latest-py39-cu118" local_interactive: bool = False image_pull_secrets: list = field(default_factory=list) dispatch_priority: str = NoneClass variables
var dispatch_priority : strvar envs : dictvar head_cpus : intvar head_gpus : intvar head_info : listvar head_memory : intvar image : strvar image_pull_secrets : listvar instascale : boolvar local_interactive : boolvar machine_types : listvar max_cpus : intvar max_memory : intvar min_cpus : intvar min_memory : intvar name : strvar namespace : strvar num_gpus : intvar num_workers : intvar template : str