英文:
AzureML Python SDK v2: How to programmatically stop a compute instance upon creation?
问题
我正在开发一个脚本，如果计算实例尚不存在，就会创建计算实例。创建计算实例后，它处于运行状态。我想能够立即停止该计算实例，因为我暂时不需要它。
我想使用 Python 和“新”SDK v2 来实现这个目标。我对涉及空闲关闭时间和定期启动/停止的解决方案不感兴趣。我希望能直接控制实例的运行状态。
这段代码效果很好，但我真的想在创建后立即停止实例。在文档中我没有找到相关信息。
# 这段代码使用 SDK v2
# MC 是 MLClient... compute_instance 是 ComputeInstance 对象
mc.compute.begin_create_or_update(compute_instance)
compute_instance.wait()
compute_instance = compute_instance.result()
logger.info(f"已创建计算实例：名称={compute_instance.name} 大小={compute_instance.size}。")
if compute_instance.state == 'Running':
# 我想在这里停止计算实例！
logger.warning(f"计算实例 {compute_instance.name} 正在运行。这会消耗费用。")
英文:
I'm working on a script that creates compute instances if they don't already exist. Upon creating a compute instance, it is in running state. I'd like to be able to immediately stop that compute instance, as I won't be needing it immediately.
I want to do this using Python with the "new" SDK v2. I am not interested in solutions involving the Idle shutdown time, and scheduled start/stop. I am looking to have direct control on the running state of the instance.
This code works well, but I'd really like to stop the instance as soon as it's created. I haven't found anything relating to this in the documentation.
<!-- language: lang-py -->
# This code uses SDK v2
# MC is MLClient... compute_instance is a ComputeInstance object
mc.compute.begin_create_or_update(compute_instance)
compute_instance.wait()
compute_instance = compute_instance.result()
logger.info(f"Created Compute instance: name={compute_instance.name} size={compute_instance.size}.")
if compute_instance.state == 'Running':
# I'd like to stop the compute instance HERE!
logger.warning(f"Compute instance {compute_instance.name} is RUNNING. This costs money.")
Thank you!
答案1
得分: 0
以下是翻译好的部分：
首先，按照下面的方式获取已创建计算实例的计算实例对象。
我的计算实例名称是 jgs-compute。
from azureml.core import Workspace
from azureml.core.compute import ComputeInstance
ws = Workspace(workspace_name="jgsml", resource_group="your resource group", subscription_id="your subcription id")
compute_instance = ComputeInstance(ws, "jgs-compute")
print(f"计算实例：名称={compute_instance.name} 大小={compute_instance.vm_size}。")
然后执行以下操作以停止计算实例。
if compute_instance.status.state == 'Running':
compute_instance.stop(wait_for_completion=True, show_output=True)
英文:
First get the compute instance object of created compute instance as below.
My compute instance name is jgs-compute
from azureml.core import Workspace
from azureml.core.compute import ComputeInstance
ws = Workspace(workspace_name="jgsml",resource_group="your resource group",subscription_id="your subcription id")
compute_instance = ComputeInstance(ws,"jgs-compute")
print(f"Compute instance: name={compute_instance.name} size={compute_instance.vm_size}.")
Then execute below to stop.
if compute_instance.status.state == 'Running':
compute_instance.stop(wait_for_completion=True,show_output=True)
答案2
得分: 0
终于，我最终自己找到了答案，这种方法使用了 SDK 2.0。请注意，它是异步的，因此在停止完成之前，函数调用会返回。
MC 是 MLClient... compute_instance 是一个 ComputeInstance 对象
mc.compute.begin_stop(compute_instance.name)
英文:
Finally, I ended up finding my answer on my own, This method uses the SDK 2.0. Note that it is asynchronous, so the function call returns before the stopping is done.
# MC is MLClient... compute_instance is a ComputeInstance object
mc.compute.begin_stop(compute_instance.name)
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