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清理 Amazon SageMaker 实验资源

为避免产生不必要的费用，请删除不再需要的 Amazon SageMaker 实验资源。无法通过 SageMaker 管理控制台或 Amazon SageMaker Studio 用户界面删除实验资源。本主题将介绍如何使用 SageMaker Python SDK、Boto3 和 Experiments SDK 清理这些资源。

使用 SageMaker Python SDK 进行清理（推荐）

使用 SageMaker Python SDK 进行清理

from sagemaker.experiments.experiment import Experiment

exp = Experiment.load(experiment_name=experiment_name, sagemaker_session=sm_session)
exp._delete_all(action="--force")

使用 Python SDK (Boto3) 进行清理

使用 Boto 3 进行清理

import boto3
sm = boto3.Session().client('sagemaker')

定义 cleanup_boto3

def cleanup_boto3(experiment_name):
    trials = sm.list_trials(ExperimentName=experiment_name)['TrialSummaries']
    print('TrialNames:')
    for trial in trials:
        trial_name = trial['TrialName']
        print(f"\n{trial_name}")

        components_in_trial = sm.list_trial_components(TrialName=trial_name)
        print('\tTrialComponentNames:')
        for component in components_in_trial['TrialComponentSummaries']:
            component_name = component['TrialComponentName']
            print(f"\t{component_name}")
            sm.disassociate_trial_component(TrialComponentName=component_name, TrialName=trial_name)
            try:
                # comment out to keep trial components
                sm.delete_trial_component(TrialComponentName=component_name)
            except:
                # component is associated with another trial
                continue
            # to prevent throttling
            time.sleep(.5)
        sm.delete_trial(TrialName=trial_name)
    sm.delete_experiment(ExperimentName=experiment_name)
    print(f"\nExperiment {experiment_name} deleted")

调用 cleanup_boto3

# Use experiment name not display name
experiment_name = "experiment-name"
cleanup_boto3(experiment_name)

使用 Experiments SDK 进行清理

使用 Experiments SDK 进行清理

import sys
!{sys.executable} -m pip install sagemaker-experiments

import time

from smexperiments.experiment import Experiment
from smexperiments.trial import Trial
from smexperiments.trial_component import TrialComponent

定义 cleanup_sme_sdk

def cleanup_sme_sdk(experiment):
    for trial_summary in experiment.list_trials():
        trial = Trial.load(trial_name=trial_summary.trial_name)
        for trial_component_summary in trial.list_trial_components():
            tc = TrialComponent.load(
                trial_component_name=trial_component_summary.trial_component_name)
            trial.remove_trial_component(tc)
            try:
                # comment out to keep trial components
                tc.delete()
            except:
                # tc is associated with another trial
                continue
            # to prevent throttling
            time.sleep(.5)
        trial.delete()
        experiment_name = experiment.experiment_name
    experiment.delete()
    print(f"\nExperiment {experiment_name} deleted")

调用 cleanup_sme_sdk

experiment_to_cleanup = Experiment.load(
    # Use experiment name not display name
    experiment_name="experiment-name")

cleanup_sme_sdk(experiment_to_cleanup)