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from typing import Dict, Any
[docs]class BudgetOption():
GPU_COUNT = 'GPU_COUNT'
TIME_HOURS = 'TIME_HOURS'
MODEL_TRIAL_COUNT = 'MODEL_TRIAL_COUNT'
Budget = Dict[BudgetOption, Any]
[docs]class InferenceBudgetOption():
GPU_COUNT = 'GPU_COUNT'
InferenceBudget = Dict[InferenceBudgetOption, Any]
ModelDependencies = Dict[str, str]
[docs]class ModelAccessRight():
PUBLIC = 'PUBLIC'
PRIVATE = 'PRIVATE'
[docs]class InferenceJobStatus():
STARTED = 'STARTED'
RUNNING = 'RUNNING'
ERRORED = 'ERRORED'
STOPPED = 'STOPPED'
[docs]class TrainJobStatus():
STARTED = 'STARTED'
RUNNING = 'RUNNING'
STOPPED = 'STOPPED'
ERRORED = 'ERRORED'
[docs]class TrialStatus():
PENDING = 'PENDING'
RUNNING = 'RUNNING'
ERRORED = 'ERRORED'
COMPLETED = 'COMPLETED'
[docs]class UserType():
SUPERADMIN = 'SUPERADMIN'
ADMIN = 'ADMIN'
MODEL_DEVELOPER = 'MODEL_DEVELOPER'
APP_DEVELOPER = 'APP_DEVELOPER'
class ServiceType():
TRAIN = 'TRAIN'
ADVISOR = 'ADVISOR'
PREDICT = 'PREDICT'
INFERENCE = 'INFERENCE'
class ServiceStatus():
STARTED = 'STARTED'
DEPLOYING = 'DEPLOYING'
RUNNING = 'RUNNING'
ERRORED = 'ERRORED'
STOPPED = 'STOPPED'
[docs]class ModelDependency():
TENSORFLOW = 'tensorflow'
KERAS = 'Keras'
SCIKIT_LEARN = 'scikit-learn'
TORCH = 'torch'
TORCHVISION = 'torchvision'
SINGA = 'singa'
XGBOOST = 'xgboost'
DS_CTCDECODER = 'ds-ctcdecoder'